Initial check-in of Acxxel (StreamExecutor renamed)
Summary:
Acxxel is basically a simplified redesign of StreamExecutor.
Here are the major points where Acxxel differs from the current
StreamExecutor design:
* Acxxel doesn't support the kernel and kernel loader types designed for
emission by the compiler to support type-safe kernel launches. For
CUDA, kernels in Acxxel can be seamlessly launched using the standard
CUDA triple-chevron kernel launch syntax that is available with clang
and nvcc. For CUDA and OpenCL, kernel arguments can be passed in the
old-fashioned way, as one array of pointers to arguments and another
array of argument sizes. Although OpenCL doesn't get a type-safe
kernel launch method, it does still get the benefit of all the memory
management wrappers. In the future, clang may add support for
triple-chevron OpenCL kernel launchs, or some other type-safe OpenCL
kernel launch method.
* Acxxel does not depend on any other code in LLVM, so it builds
completely independently from LLVM.
The goal will be to check in Acxxel and remove StreamExecutor, or
perhaps to remove the old StreamExecutor and rename Acxxel to
StreamExecutor, so I think Acxxel should be thought of as a new version
of StreamExecutor, not as a separate project.
Reviewers: jlebar, jprice
Subscribers: beanz, mgorny, modocache, parallel_libs-commits
Differential Revision: https://reviews.llvm.org/D25701
llvm-svn: 285111
2016-10-26 04:18:56 +08:00
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//===--- acxxel.h - The Acxxel API ------------------------------*- C++ -*-===//
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//
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// The LLVM Compiler Infrastructure
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//
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// This file is distributed under the University of Illinois Open Source
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// License. See LICENSE.TXT for details.
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//
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//===----------------------------------------------------------------------===//
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/// \mainpage Welcome to Acxxel
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///
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/// \section Introduction
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///
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/// \b Acxxel is a library providing a modern C++ interface for managing
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/// accelerator devices such as GPUs. Acxxel handles operations such as
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/// allocating device memory, copying data to and from device memory, creating
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/// and managing device events, and creating and managing device streams.
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///
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/// \subsection ExampleUsage Example Usage
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///
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/// Below is some example code to show you the basics of Acxxel.
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///
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/// \snippet examples/simple_example.cu Example simple saxpy
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///
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/// The above code could be compiled with either `clang` or `nvcc`. Compare this
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/// with the standard CUDA runtime library code to perform these same
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/// operations:
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///
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/// \snippet examples/simple_example.cu Example CUDA simple saxpy
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///
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/// Notice that the CUDA runtime calls are not type safe. For example, if you
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/// change the type of the inputs from `float` to `double`, you have to remember
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/// to change the size calculation. If you forget, you will get garbage output
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/// data. In the Acxxel example, you would instead get a helpful compile-time
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/// error that wouldn't let you forget to change the types inside the function.
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///
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/// The Acxxel example also automatically uses the right sizes for memory
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/// copies, so you don't have to worry about computing the sizes yourself.
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///
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/// The CUDA runtime interface makes it easy to get the source and destination
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/// mixed up in a call to `cudaMemcpy`. If you pass the pointers in the wrong
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/// order or pass the wrong enum value for the direction parameter, you won't
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/// find out until runtime (if you remembered to check the error return value of
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/// `cudaMemcpy`). In Acxxel there is no verbose direction enum because the name
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/// of the function says which way the copy goes, and mixing up the order of
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/// source and destination is a compile-time error.
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///
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/// The CUDA runtime interface makes you clean up your device memory by calling
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/// `cudaFree` for each call to `cudaMalloc`. In Acxxel, you don't have to worry
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/// about that because the memory cleans itself up when it goes out of scope.
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///
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/// \subsection AcxxelFeatures Acxxel Features
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///
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/// Acxxel provides many nice features compared to the C-like interfaces, such
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/// as the CUDA runtime API, which are normally used for the host code in
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/// applications using accelerators.
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///
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/// \subsubsection TypeSafety Type safety
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///
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/// Most errors involving mixing up types, sources and destinations, or host and
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/// device memory result in helpful compile-time errors.
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///
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/// \subsubsection NoCopySizes No need to specify sizes for memory copies
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///
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/// When the arguments to copy functions such as acxxel::Platform::copyHToD know
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/// their sizes (e.g std::array, std::vector, and C-style arrays), there is no
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/// need to specify the amount of memory to copy; Acxxel will just copy the
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/// whole thing. Of course the copy functions also have overloads that accept an
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/// element count for those times when you don't want to copy everything.
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///
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/// \subsubsection MemoryCleanup Automatic memory cleanup
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///
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/// Device memory allocated with acxxel::Platform::mallocD is automatically
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/// freed when it goes out of scope.
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///
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/// \subsubsection NiceErrorHandling Error handling
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///
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/// Operations that would normally return values return acxxel::Expected obects
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/// in Acxxel. These `Expected` objects contain either a value or an error
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/// message explaining why the value is not present. This reminds the user to
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/// check for errors, but also allows them to opt-out easily be calling the
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/// acxxel::Expected::getValue or acxxel::Expected::takeValue methods. The
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/// `getValue` method returns a reference to the value, leaving the `Expected`
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/// instance as the value owner, whereas the `takeValue` method moves the value
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/// out of the `Expected` object and transfers ownership to the caller.
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///
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/// \subsubsection PlatformIndependence Platform independence
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///
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/// Acxxel code works not only with CUDA, but also with any other platform that
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/// can support its interface. For example, Acxxel supports OpenCL. The
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/// acxxel::getCUDAPlatform and acxxel::getOpenCLPlatform functions are provided
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/// to allow easy access to the built-in CUDA and OpenCL platforms. Other
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/// platforms can be created by implementing the acxxel::Platform interface, and
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/// instances of those classes can be created directly.
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///
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/// \subsubsection CUDAInterop Seamless interoperation with CUDA
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///
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/// Acxxel functions as a modern replacement for the standard CUDA runtime
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/// library and interoperates seamlessly with kernel calls.
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#ifndef ACXXEL_ACXXEL_H
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#define ACXXEL_ACXXEL_H
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#include "span.h"
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#include "status.h"
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#include <functional>
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#include <memory>
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#include <string>
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#include <type_traits>
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#if defined(__clang__) || defined(__GNUC__)
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#define ACXXEL_WARN_UNUSED_RESULT __attribute__((warn_unused_result))
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#else
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#define ACXXEL_WARN_UNUSED_RESULT
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#endif
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/// This type is declared here to provide smooth interoperability with the CUDA
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/// triple-chevron kernel launch syntax.
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///
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/// A acxxel::Stream instance will be implicitly convertible to a CUstream_st*,
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/// which is the type expected for the stream argument in the triple-chevron
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/// CUDA kernel launch. This means that a acxxel::Stream can be passed without
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/// explicit casting as the fourth argument to a triple-chevron CUDA kernel
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/// launch.
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struct CUstream_st; // NOLINT
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namespace acxxel {
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class Event;
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class Platform;
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class Stream;
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template <typename T> class DeviceMemory;
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template <typename T> class DeviceMemorySpan;
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template <typename T> class AsyncHostMemory;
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template <typename T> class AsyncHostMemorySpan;
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template <typename T> class OwnedAsyncHostMemory;
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/// Function type used to destroy opaque handles given out by the platform.
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using HandleDestructor = void (*)(void *);
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/// Functor type for enqueuing host callbacks on a stream.
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using StreamCallback = std::function<void(Stream &, const Status &)>;
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struct KernelLaunchDimensions {
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// Intentionally implicit
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KernelLaunchDimensions(unsigned int BlockX = 1, unsigned int BlockY = 1,
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unsigned int BlockZ = 1, unsigned int GridX = 1,
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unsigned int GridY = 1, unsigned int GridZ = 1)
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: BlockX(BlockX), BlockY(BlockY), BlockZ(BlockZ), GridX(GridX),
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GridY(GridY), GridZ(GridZ) {}
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unsigned int BlockX;
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unsigned int BlockY;
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unsigned int BlockZ;
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unsigned int GridX;
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unsigned int GridY;
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unsigned int GridZ;
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};
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/// Logs a warning message.
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void logWarning(const std::string &Message);
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/// Gets a pointer to the standard CUDA platform.
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Expected<Platform *> getCUDAPlatform();
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/// Gets a pointer to the standard OpenCL platform.
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Expected<Platform *> getOpenCLPlatform();
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/// A function that can be executed on the device.
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///
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/// A Kernel is created from a Program by calling Program::createKernel, and a
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/// kernel is enqueued into a Stream by calling Stream::asyncKernelLaunch.
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class Kernel {
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public:
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Kernel(const Kernel &) = delete;
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Kernel &operator=(const Kernel &) = delete;
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Kernel(Kernel &&) noexcept;
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Kernel &operator=(Kernel &&That) noexcept;
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~Kernel() = default;
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private:
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// Only a Program can make a kernel.
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friend class Program;
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Kernel(Platform *APlatform, void *AHandle, HandleDestructor Destructor)
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: ThePlatform(APlatform), TheHandle(AHandle, Destructor) {}
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// Let stream get raw handle for kernel launches.
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friend class Stream;
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Platform *ThePlatform;
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std::unique_ptr<void, HandleDestructor> TheHandle;
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};
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/// A program loaded on a device.
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///
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/// A program can be created by calling Platform::createProgramFromSource, and a
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/// Kernel can be created from a program by running Program::createKernel.
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///
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/// A program can contain any number of kernels, and a program only needs to be
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/// loaded once in order to use all its kernels.
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class Program {
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public:
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Program(const Program &) = delete;
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Program &operator=(const Program &) = delete;
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Program(Program &&) noexcept;
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Program &operator=(Program &&That) noexcept;
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~Program() = default;
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Expected<Kernel> createKernel(const std::string &Name);
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private:
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// Only a platform can make a program.
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friend class Platform;
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Program(Platform *APlatform, void *AHandle, HandleDestructor Destructor)
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: ThePlatform(APlatform), TheHandle(AHandle, Destructor) {}
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Platform *ThePlatform;
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std::unique_ptr<void, HandleDestructor> TheHandle;
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};
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/// A stream of computation.
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///
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/// All operations enqueued on a Stream are serialized, but operations enqueued
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/// on different Streams may run concurrently.
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///
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2016-10-28 08:54:02 +08:00
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/// Each Stream is associated with a specific, fixed device.
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Initial check-in of Acxxel (StreamExecutor renamed)
Summary:
Acxxel is basically a simplified redesign of StreamExecutor.
Here are the major points where Acxxel differs from the current
StreamExecutor design:
* Acxxel doesn't support the kernel and kernel loader types designed for
emission by the compiler to support type-safe kernel launches. For
CUDA, kernels in Acxxel can be seamlessly launched using the standard
CUDA triple-chevron kernel launch syntax that is available with clang
and nvcc. For CUDA and OpenCL, kernel arguments can be passed in the
old-fashioned way, as one array of pointers to arguments and another
array of argument sizes. Although OpenCL doesn't get a type-safe
kernel launch method, it does still get the benefit of all the memory
management wrappers. In the future, clang may add support for
triple-chevron OpenCL kernel launchs, or some other type-safe OpenCL
kernel launch method.
* Acxxel does not depend on any other code in LLVM, so it builds
completely independently from LLVM.
The goal will be to check in Acxxel and remove StreamExecutor, or
perhaps to remove the old StreamExecutor and rename Acxxel to
StreamExecutor, so I think Acxxel should be thought of as a new version
of StreamExecutor, not as a separate project.
Reviewers: jlebar, jprice
Subscribers: beanz, mgorny, modocache, parallel_libs-commits
Differential Revision: https://reviews.llvm.org/D25701
llvm-svn: 285111
2016-10-26 04:18:56 +08:00
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class Stream {
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public:
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Stream(const Stream &) = delete;
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Stream &operator=(const Stream &) = delete;
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Stream(Stream &&) noexcept;
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Stream &operator=(Stream &&) noexcept;
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~Stream() = default;
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/// Gets the index of the device on which this Stream operates.
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int getDeviceIndex() { return TheDeviceIndex; }
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/// Blocks the host until the Stream is done executing all previously enqueued
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/// work.
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///
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/// Returns a Status for any errors emitted by the asynchronous work on the
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/// Stream, or by any error in the synchronization process itself. Clears the
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/// Status state of the stream.
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Status sync() ACXXEL_WARN_UNUSED_RESULT;
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/// Makes all future work submitted to this stream wait until the event
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/// reports completion.
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///
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/// This is useful because the event argument may be recorded on a different
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/// stream, so this method allows for synchronization between streams without
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/// synchronizing all streams.
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///
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/// Returns a Status for any errors emitted by the asynchronous work on the
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/// Stream, or by any error in the synchronization process itself. Clears the
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/// Status state of the stream.
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Status waitOnEvent(Event &Event) ACXXEL_WARN_UNUSED_RESULT;
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/// Adds a host callback function to the stream.
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///
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/// The callback will be called on the host after all previously enqueued work
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/// on the stream is complete, and no work enqueued after the callback will
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/// begin until after the callback has finished.
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Stream &addCallback(std::function<void(Stream &, const Status &)> Callback);
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/// \name Asynchronous device memory copies.
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///
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/// These functions enqueue asynchronous memory copy operations into the
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/// stream. Only async host memory is allowed for host arguments to these
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/// functions. Async host memory can be created from normal host memory by
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/// registering it with Platform::registerHostMem. AsyncHostMemory can also be
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/// allocated directly by calling Platform::newAsyncHostMem.
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///
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/// For all these functions, DeviceSrcTy must be convertible to
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/// DeviceMemorySpan<const T>, DeviceDstTy must be convertible to
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/// DeviceMemorySpan<T>, HostSrcTy must be convertible to
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/// AsyncHostMemorySpan<const T> and HostDstTy must be convertible to
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/// AsyncHostMemorySpan<T>. Additionally, the T types must match for the
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/// destination and source.
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/// \{
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/// Copies from device memory to device memory.
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template <typename DeviceSrcTy, typename DeviceDstTy>
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Stream &asyncCopyDToD(DeviceSrcTy &&DeviceSrc, DeviceDstTy &&DeviceDst);
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/// Copies from device memory to device memory with a given element count.
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template <typename DeviceSrcTy, typename DeviceDstTy>
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Stream &asyncCopyDToD(DeviceSrcTy &&DeviceSrc, DeviceDstTy &&DeviceDst,
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ptrdiff_t ElementCount);
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/// Copies from device memory to host memory.
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template <typename DeviceSrcTy, typename HostDstTy>
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Stream &asyncCopyDToH(DeviceSrcTy &&DeviceSrc, HostDstTy &&HostDst);
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/// Copies from device memory to host memory with a given element count.
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template <typename DeviceSrcTy, typename HostDstTy>
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Stream &asyncCopyDToH(DeviceSrcTy &&DeviceSrc, HostDstTy &&HostDst,
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ptrdiff_t ElementCount);
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/// Copies from host memory to device memory.
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template <typename HostSrcTy, typename DeviceDstTy>
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Stream &asyncCopyHToD(HostSrcTy &&HostSrc, DeviceDstTy &&DeviceDst);
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/// Copies from host memory to device memory with a given element count.
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template <typename HostSrcTy, typename DeviceDstTy>
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Stream &asyncCopyHToD(HostSrcTy &&HostSrc, DeviceDstTy &DeviceDst,
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ptrdiff_t ElementCount);
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/// \}
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/// \name Stream-synchronous device memory copies
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///
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/// These functions block the host until the copy and all previously-enqueued
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/// work on the stream has completed.
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///
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/// For all these functions, DeviceSrcTy must be convertible to
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|
/// DeviceMemorySpan<const T>, DeviceDstTy must be convertible to
|
|
|
|
/// DeviceMemorySpan<T>, HostSrcTy must be convertible to Span<const T> and
|
|
|
|
/// HostDstTy must be convertible to Span<T>. Additionally, the T types must
|
|
|
|
/// match for the destination and source.
|
|
|
|
/// \{
|
|
|
|
|
|
|
|
template <typename DeviceSrcTy, typename DeviceDstTy>
|
|
|
|
Stream &syncCopyDToD(DeviceSrcTy &&DeviceSrc, DeviceDstTy &&DeviceDst);
|
|
|
|
|
|
|
|
template <typename DeviceSrcTy, typename DeviceDstTy>
|
|
|
|
Stream &syncCopyDToD(DeviceSrcTy &&DeviceSrc, DeviceDstTy &&DeviceDst,
|
|
|
|
ptrdiff_t ElementCount);
|
|
|
|
|
|
|
|
template <typename DeviceSrcTy, typename HostDstTy>
|
|
|
|
Stream &syncCopyDToH(DeviceSrcTy &&DeviceSrc, HostDstTy &&HostDst);
|
|
|
|
|
|
|
|
template <typename DeviceSrcTy, typename HostDstTy>
|
|
|
|
Stream &syncCopyDToH(DeviceSrcTy &&DeviceSrc, HostDstTy &&HostDst,
|
|
|
|
ptrdiff_t ElementCount);
|
|
|
|
|
|
|
|
template <typename HostSrcTy, typename DeviceDstTy>
|
|
|
|
Stream &syncCopyHToD(HostSrcTy &&HostSrc, DeviceDstTy &&DeviceDst);
|
|
|
|
|
|
|
|
template <typename HostSrcTy, typename DeviceDstTy>
|
|
|
|
Stream &syncCopyHToD(HostSrcTy &&HostSrc, DeviceDstTy &DeviceDst,
|
|
|
|
ptrdiff_t ElementCount);
|
|
|
|
|
|
|
|
/// \}
|
|
|
|
|
|
|
|
/// Enqueues an operation in the stream to set the bytes of a given device
|
|
|
|
/// memory region to a given value.
|
|
|
|
///
|
|
|
|
/// DeviceDstTy must be convertible to DeviceMemorySpan<T> for non-const T.
|
|
|
|
template <typename DeviceDstTy>
|
|
|
|
Stream &asyncMemsetD(DeviceDstTy &&DeviceDst, char ByteValue);
|
|
|
|
|
|
|
|
/// Enqueues a kernel launch operation on this stream.
|
|
|
|
Stream &asyncKernelLaunch(const Kernel &TheKernel,
|
|
|
|
KernelLaunchDimensions LaunchDimensions,
|
|
|
|
Span<void *> Arguments, Span<size_t> ArgumentSizes,
|
|
|
|
size_t SharedMemoryBytes = 0);
|
|
|
|
|
|
|
|
/// Enqueues an event in the stream.
|
|
|
|
Stream &enqueueEvent(Event &E);
|
|
|
|
|
|
|
|
// Allows implicit conversion to (CUstream_st *). This makes triple-chevron
|
|
|
|
// kernel calls look nicer because you can just pass a acxxel::Stream
|
|
|
|
// directly.
|
|
|
|
operator CUstream_st *() {
|
|
|
|
return static_cast<CUstream_st *>(TheHandle.get());
|
|
|
|
}
|
|
|
|
|
|
|
|
/// Gets the current status for the Stream and clears the Stream's status.
|
|
|
|
Status takeStatus() ACXXEL_WARN_UNUSED_RESULT {
|
|
|
|
Status OldStatus = TheStatus;
|
|
|
|
TheStatus = Status();
|
|
|
|
return OldStatus;
|
|
|
|
}
|
|
|
|
|
|
|
|
private:
|
|
|
|
// Only a platform can make a stream.
|
|
|
|
friend class Platform;
|
|
|
|
Stream(Platform *APlatform, int DeviceIndex, void *AHandle,
|
|
|
|
HandleDestructor Destructor)
|
|
|
|
: ThePlatform(APlatform), TheDeviceIndex(DeviceIndex),
|
|
|
|
TheHandle(AHandle, Destructor) {}
|
|
|
|
|
|
|
|
const Status &setStatus(const Status &S) {
|
|
|
|
if (S.isError() && !TheStatus.isError()) {
|
|
|
|
TheStatus = S;
|
|
|
|
}
|
|
|
|
return S;
|
|
|
|
}
|
|
|
|
|
|
|
|
Status takeStatusOr(const Status &S) {
|
|
|
|
if (TheStatus.isError()) {
|
|
|
|
Status OldStatus = TheStatus;
|
|
|
|
TheStatus = Status();
|
|
|
|
return OldStatus;
|
|
|
|
}
|
|
|
|
return S;
|
|
|
|
}
|
|
|
|
|
|
|
|
// The platform that created the stream.
|
|
|
|
Platform *ThePlatform;
|
|
|
|
|
|
|
|
// The index of the device on which the stream operates.
|
|
|
|
int TheDeviceIndex;
|
|
|
|
|
|
|
|
// A handle to the platform-specific handle implementation.
|
|
|
|
std::unique_ptr<void, HandleDestructor> TheHandle;
|
|
|
|
Status TheStatus;
|
|
|
|
};
|
|
|
|
|
|
|
|
/// A user-created event on a device.
|
|
|
|
///
|
|
|
|
/// This is useful for setting synchronization points in a Stream. The host can
|
|
|
|
/// synchronize with a Stream without using events, but that requires all the
|
|
|
|
/// work in the Stream to be finished in order for the host to be notified.
|
|
|
|
/// Events provide more flexibility by allowing the host to be notified when a
|
|
|
|
/// single Event in the Stream is finished, rather than all the work in the
|
|
|
|
/// Stream.
|
|
|
|
class Event {
|
|
|
|
public:
|
|
|
|
Event(const Event &) = delete;
|
|
|
|
Event &operator=(const Event &) = delete;
|
|
|
|
Event(Event &&) noexcept;
|
|
|
|
Event &operator=(Event &&That) noexcept;
|
|
|
|
~Event() = default;
|
|
|
|
|
|
|
|
/// Checks to see if the event is done running.
|
|
|
|
bool isDone();
|
|
|
|
|
|
|
|
/// Blocks the host until the event is done.
|
|
|
|
Status sync();
|
|
|
|
|
|
|
|
/// Gets the time elapsed between the previous event's execution and this
|
|
|
|
/// event's execution.
|
|
|
|
Expected<float> getSecondsSince(const Event &Previous);
|
|
|
|
|
|
|
|
private:
|
|
|
|
// Only a platform can make an event.
|
|
|
|
friend class Platform;
|
2016-10-28 08:54:02 +08:00
|
|
|
Event(Platform *APlatform, int DeviceIndex, void *AHandle,
|
|
|
|
HandleDestructor Destructor)
|
|
|
|
: ThePlatform(APlatform), TheDeviceIndex(DeviceIndex),
|
|
|
|
TheHandle(AHandle, Destructor) {}
|
Initial check-in of Acxxel (StreamExecutor renamed)
Summary:
Acxxel is basically a simplified redesign of StreamExecutor.
Here are the major points where Acxxel differs from the current
StreamExecutor design:
* Acxxel doesn't support the kernel and kernel loader types designed for
emission by the compiler to support type-safe kernel launches. For
CUDA, kernels in Acxxel can be seamlessly launched using the standard
CUDA triple-chevron kernel launch syntax that is available with clang
and nvcc. For CUDA and OpenCL, kernel arguments can be passed in the
old-fashioned way, as one array of pointers to arguments and another
array of argument sizes. Although OpenCL doesn't get a type-safe
kernel launch method, it does still get the benefit of all the memory
management wrappers. In the future, clang may add support for
triple-chevron OpenCL kernel launchs, or some other type-safe OpenCL
kernel launch method.
* Acxxel does not depend on any other code in LLVM, so it builds
completely independently from LLVM.
The goal will be to check in Acxxel and remove StreamExecutor, or
perhaps to remove the old StreamExecutor and rename Acxxel to
StreamExecutor, so I think Acxxel should be thought of as a new version
of StreamExecutor, not as a separate project.
Reviewers: jlebar, jprice
Subscribers: beanz, mgorny, modocache, parallel_libs-commits
Differential Revision: https://reviews.llvm.org/D25701
llvm-svn: 285111
2016-10-26 04:18:56 +08:00
|
|
|
|
|
|
|
Platform *ThePlatform;
|
2016-10-28 08:54:02 +08:00
|
|
|
|
|
|
|
// The index of the device on which the event can be enqueued.
|
|
|
|
int TheDeviceIndex;
|
|
|
|
|
Initial check-in of Acxxel (StreamExecutor renamed)
Summary:
Acxxel is basically a simplified redesign of StreamExecutor.
Here are the major points where Acxxel differs from the current
StreamExecutor design:
* Acxxel doesn't support the kernel and kernel loader types designed for
emission by the compiler to support type-safe kernel launches. For
CUDA, kernels in Acxxel can be seamlessly launched using the standard
CUDA triple-chevron kernel launch syntax that is available with clang
and nvcc. For CUDA and OpenCL, kernel arguments can be passed in the
old-fashioned way, as one array of pointers to arguments and another
array of argument sizes. Although OpenCL doesn't get a type-safe
kernel launch method, it does still get the benefit of all the memory
management wrappers. In the future, clang may add support for
triple-chevron OpenCL kernel launchs, or some other type-safe OpenCL
kernel launch method.
* Acxxel does not depend on any other code in LLVM, so it builds
completely independently from LLVM.
The goal will be to check in Acxxel and remove StreamExecutor, or
perhaps to remove the old StreamExecutor and rename Acxxel to
StreamExecutor, so I think Acxxel should be thought of as a new version
of StreamExecutor, not as a separate project.
Reviewers: jlebar, jprice
Subscribers: beanz, mgorny, modocache, parallel_libs-commits
Differential Revision: https://reviews.llvm.org/D25701
llvm-svn: 285111
2016-10-26 04:18:56 +08:00
|
|
|
std::unique_ptr<void, HandleDestructor> TheHandle;
|
|
|
|
};
|
|
|
|
|
|
|
|
/// An accelerator platform.
|
|
|
|
///
|
|
|
|
/// This is the base class for all platforms such as CUDA and OpenCL. It
|
|
|
|
/// contains many virtual methods that must be overridden by each platform
|
|
|
|
/// implementation.
|
|
|
|
///
|
|
|
|
/// It also has some template wrapper functions that take care of type checking
|
|
|
|
/// and then forward their arguments on to raw virtual functions that are
|
|
|
|
/// implemented by each specific platform.
|
|
|
|
class Platform {
|
|
|
|
public:
|
|
|
|
virtual ~Platform(){};
|
|
|
|
|
|
|
|
/// Gets the number of devices for this platform in this system.
|
|
|
|
virtual Expected<int> getDeviceCount() = 0;
|
|
|
|
|
2016-10-28 08:54:02 +08:00
|
|
|
/// Creates a stream on the given device for the platform.
|
|
|
|
virtual Expected<Stream> createStream(int DeviceIndex = 0) = 0;
|
Initial check-in of Acxxel (StreamExecutor renamed)
Summary:
Acxxel is basically a simplified redesign of StreamExecutor.
Here are the major points where Acxxel differs from the current
StreamExecutor design:
* Acxxel doesn't support the kernel and kernel loader types designed for
emission by the compiler to support type-safe kernel launches. For
CUDA, kernels in Acxxel can be seamlessly launched using the standard
CUDA triple-chevron kernel launch syntax that is available with clang
and nvcc. For CUDA and OpenCL, kernel arguments can be passed in the
old-fashioned way, as one array of pointers to arguments and another
array of argument sizes. Although OpenCL doesn't get a type-safe
kernel launch method, it does still get the benefit of all the memory
management wrappers. In the future, clang may add support for
triple-chevron OpenCL kernel launchs, or some other type-safe OpenCL
kernel launch method.
* Acxxel does not depend on any other code in LLVM, so it builds
completely independently from LLVM.
The goal will be to check in Acxxel and remove StreamExecutor, or
perhaps to remove the old StreamExecutor and rename Acxxel to
StreamExecutor, so I think Acxxel should be thought of as a new version
of StreamExecutor, not as a separate project.
Reviewers: jlebar, jprice
Subscribers: beanz, mgorny, modocache, parallel_libs-commits
Differential Revision: https://reviews.llvm.org/D25701
llvm-svn: 285111
2016-10-26 04:18:56 +08:00
|
|
|
|
2016-10-28 08:54:02 +08:00
|
|
|
/// Creates an event on the given device for the platform.
|
|
|
|
virtual Expected<Event> createEvent(int DeviceIndex = 0) = 0;
|
Initial check-in of Acxxel (StreamExecutor renamed)
Summary:
Acxxel is basically a simplified redesign of StreamExecutor.
Here are the major points where Acxxel differs from the current
StreamExecutor design:
* Acxxel doesn't support the kernel and kernel loader types designed for
emission by the compiler to support type-safe kernel launches. For
CUDA, kernels in Acxxel can be seamlessly launched using the standard
CUDA triple-chevron kernel launch syntax that is available with clang
and nvcc. For CUDA and OpenCL, kernel arguments can be passed in the
old-fashioned way, as one array of pointers to arguments and another
array of argument sizes. Although OpenCL doesn't get a type-safe
kernel launch method, it does still get the benefit of all the memory
management wrappers. In the future, clang may add support for
triple-chevron OpenCL kernel launchs, or some other type-safe OpenCL
kernel launch method.
* Acxxel does not depend on any other code in LLVM, so it builds
completely independently from LLVM.
The goal will be to check in Acxxel and remove StreamExecutor, or
perhaps to remove the old StreamExecutor and rename Acxxel to
StreamExecutor, so I think Acxxel should be thought of as a new version
of StreamExecutor, not as a separate project.
Reviewers: jlebar, jprice
Subscribers: beanz, mgorny, modocache, parallel_libs-commits
Differential Revision: https://reviews.llvm.org/D25701
llvm-svn: 285111
2016-10-26 04:18:56 +08:00
|
|
|
|
|
|
|
/// Allocates owned device memory.
|
|
|
|
///
|
|
|
|
/// \warning This function only allocates space in device memory, it does not
|
|
|
|
/// call the constructor of T.
|
|
|
|
template <typename T>
|
2016-10-28 08:54:02 +08:00
|
|
|
Expected<DeviceMemory<T>> mallocD(ptrdiff_t ElementCount,
|
|
|
|
int DeviceIndex = 0) {
|
|
|
|
Expected<void *> MaybePointer =
|
|
|
|
rawMallocD(ElementCount * sizeof(T), DeviceIndex);
|
Initial check-in of Acxxel (StreamExecutor renamed)
Summary:
Acxxel is basically a simplified redesign of StreamExecutor.
Here are the major points where Acxxel differs from the current
StreamExecutor design:
* Acxxel doesn't support the kernel and kernel loader types designed for
emission by the compiler to support type-safe kernel launches. For
CUDA, kernels in Acxxel can be seamlessly launched using the standard
CUDA triple-chevron kernel launch syntax that is available with clang
and nvcc. For CUDA and OpenCL, kernel arguments can be passed in the
old-fashioned way, as one array of pointers to arguments and another
array of argument sizes. Although OpenCL doesn't get a type-safe
kernel launch method, it does still get the benefit of all the memory
management wrappers. In the future, clang may add support for
triple-chevron OpenCL kernel launchs, or some other type-safe OpenCL
kernel launch method.
* Acxxel does not depend on any other code in LLVM, so it builds
completely independently from LLVM.
The goal will be to check in Acxxel and remove StreamExecutor, or
perhaps to remove the old StreamExecutor and rename Acxxel to
StreamExecutor, so I think Acxxel should be thought of as a new version
of StreamExecutor, not as a separate project.
Reviewers: jlebar, jprice
Subscribers: beanz, mgorny, modocache, parallel_libs-commits
Differential Revision: https://reviews.llvm.org/D25701
llvm-svn: 285111
2016-10-26 04:18:56 +08:00
|
|
|
if (MaybePointer.isError())
|
|
|
|
return MaybePointer.getError();
|
|
|
|
return DeviceMemory<T>(this, MaybePointer.getValue(), ElementCount,
|
|
|
|
this->getDeviceMemoryHandleDestructor());
|
|
|
|
}
|
|
|
|
|
|
|
|
/// Creates a DeviceMemorySpan for a device symbol.
|
|
|
|
///
|
|
|
|
/// This function is present to support __device__ variables in CUDA. Given a
|
|
|
|
/// pointer to a __device__ variable, this function returns a DeviceMemorySpan
|
|
|
|
/// referencing the device memory that stores that __device__ variable.
|
|
|
|
template <typename ElementType>
|
2016-10-28 08:54:02 +08:00
|
|
|
Expected<DeviceMemorySpan<ElementType>> getSymbolMemory(ElementType *Symbol,
|
|
|
|
int DeviceIndex = 0) {
|
|
|
|
Expected<void *> MaybeAddress =
|
|
|
|
rawGetDeviceSymbolAddress(Symbol, DeviceIndex);
|
Initial check-in of Acxxel (StreamExecutor renamed)
Summary:
Acxxel is basically a simplified redesign of StreamExecutor.
Here are the major points where Acxxel differs from the current
StreamExecutor design:
* Acxxel doesn't support the kernel and kernel loader types designed for
emission by the compiler to support type-safe kernel launches. For
CUDA, kernels in Acxxel can be seamlessly launched using the standard
CUDA triple-chevron kernel launch syntax that is available with clang
and nvcc. For CUDA and OpenCL, kernel arguments can be passed in the
old-fashioned way, as one array of pointers to arguments and another
array of argument sizes. Although OpenCL doesn't get a type-safe
kernel launch method, it does still get the benefit of all the memory
management wrappers. In the future, clang may add support for
triple-chevron OpenCL kernel launchs, or some other type-safe OpenCL
kernel launch method.
* Acxxel does not depend on any other code in LLVM, so it builds
completely independently from LLVM.
The goal will be to check in Acxxel and remove StreamExecutor, or
perhaps to remove the old StreamExecutor and rename Acxxel to
StreamExecutor, so I think Acxxel should be thought of as a new version
of StreamExecutor, not as a separate project.
Reviewers: jlebar, jprice
Subscribers: beanz, mgorny, modocache, parallel_libs-commits
Differential Revision: https://reviews.llvm.org/D25701
llvm-svn: 285111
2016-10-26 04:18:56 +08:00
|
|
|
if (MaybeAddress.isError())
|
|
|
|
return MaybeAddress.getError();
|
|
|
|
ElementType *Address = static_cast<ElementType *>(MaybeAddress.getValue());
|
2016-10-28 08:54:02 +08:00
|
|
|
Expected<ptrdiff_t> MaybeSize = rawGetDeviceSymbolSize(Symbol, DeviceIndex);
|
Initial check-in of Acxxel (StreamExecutor renamed)
Summary:
Acxxel is basically a simplified redesign of StreamExecutor.
Here are the major points where Acxxel differs from the current
StreamExecutor design:
* Acxxel doesn't support the kernel and kernel loader types designed for
emission by the compiler to support type-safe kernel launches. For
CUDA, kernels in Acxxel can be seamlessly launched using the standard
CUDA triple-chevron kernel launch syntax that is available with clang
and nvcc. For CUDA and OpenCL, kernel arguments can be passed in the
old-fashioned way, as one array of pointers to arguments and another
array of argument sizes. Although OpenCL doesn't get a type-safe
kernel launch method, it does still get the benefit of all the memory
management wrappers. In the future, clang may add support for
triple-chevron OpenCL kernel launchs, or some other type-safe OpenCL
kernel launch method.
* Acxxel does not depend on any other code in LLVM, so it builds
completely independently from LLVM.
The goal will be to check in Acxxel and remove StreamExecutor, or
perhaps to remove the old StreamExecutor and rename Acxxel to
StreamExecutor, so I think Acxxel should be thought of as a new version
of StreamExecutor, not as a separate project.
Reviewers: jlebar, jprice
Subscribers: beanz, mgorny, modocache, parallel_libs-commits
Differential Revision: https://reviews.llvm.org/D25701
llvm-svn: 285111
2016-10-26 04:18:56 +08:00
|
|
|
if (MaybeSize.isError())
|
|
|
|
return MaybeSize.getError();
|
|
|
|
ptrdiff_t Size = MaybeSize.getValue();
|
|
|
|
return DeviceMemorySpan<ElementType>(this, Address,
|
|
|
|
Size / sizeof(ElementType), 0);
|
|
|
|
}
|
|
|
|
|
|
|
|
/// \name Host memory registration functions.
|
|
|
|
/// \{
|
|
|
|
|
|
|
|
template <typename T>
|
|
|
|
Expected<AsyncHostMemory<const T>> registerHostMem(Span<const T> Memory) {
|
|
|
|
Status S = rawRegisterHostMem(Memory.data(), Memory.size() * sizeof(T));
|
|
|
|
if (S.isError())
|
|
|
|
return S;
|
|
|
|
return AsyncHostMemory<const T>(
|
|
|
|
Memory.data(), Memory.size(),
|
|
|
|
this->getUnregisterHostMemoryHandleDestructor());
|
|
|
|
}
|
|
|
|
|
|
|
|
template <typename T>
|
|
|
|
Expected<AsyncHostMemory<T>> registerHostMem(Span<T> Memory) {
|
|
|
|
Status S = rawRegisterHostMem(Memory.data(), Memory.size() * sizeof(T));
|
|
|
|
if (S.isError())
|
|
|
|
return S;
|
|
|
|
return AsyncHostMemory<T>(Memory.data(), Memory.size(),
|
|
|
|
this->getUnregisterHostMemoryHandleDestructor());
|
|
|
|
}
|
|
|
|
|
|
|
|
template <typename T, size_t N>
|
|
|
|
Expected<AsyncHostMemory<T>> registerHostMem(T (&Array)[N]) {
|
|
|
|
Span<T> Span(Array);
|
|
|
|
Status S = rawRegisterHostMem(Span.data(), Span.size() * sizeof(T));
|
|
|
|
if (S.isError())
|
|
|
|
return S;
|
|
|
|
return AsyncHostMemory<T>(Span.data(), Span.size(),
|
|
|
|
this->getUnregisterHostMemoryHandleDestructor());
|
|
|
|
}
|
|
|
|
|
|
|
|
/// Registers memory stored in a container with a data() member function and
|
|
|
|
/// which can be converted to a Span<T*>.
|
|
|
|
template <typename Container>
|
|
|
|
auto registerHostMem(Container &Cont) -> Expected<AsyncHostMemory<
|
|
|
|
typename std::remove_reference<decltype(*Cont.data())>::type>> {
|
|
|
|
using ValueType =
|
|
|
|
typename std::remove_reference<decltype(*Cont.data())>::type;
|
|
|
|
Span<ValueType> Span(Cont);
|
|
|
|
Status S = rawRegisterHostMem(Span.data(), Span.size() * sizeof(ValueType));
|
|
|
|
if (S.isError())
|
|
|
|
return S;
|
|
|
|
return AsyncHostMemory<ValueType>(
|
|
|
|
Span.data(), Span.size(),
|
|
|
|
this->getUnregisterHostMemoryHandleDestructor());
|
|
|
|
}
|
|
|
|
|
|
|
|
/// Allocates an owned, registered array of objects on the host.
|
|
|
|
///
|
|
|
|
/// Default constructs each element in the resulting array.
|
|
|
|
template <typename T>
|
|
|
|
Expected<OwnedAsyncHostMemory<T>> newAsyncHostMem(ptrdiff_t ElementCount) {
|
|
|
|
Expected<void *> MaybeMemory =
|
|
|
|
rawMallocRegisteredH(ElementCount * sizeof(T));
|
|
|
|
if (MaybeMemory.isError())
|
|
|
|
return MaybeMemory.getError();
|
|
|
|
T *Memory = static_cast<T *>(MaybeMemory.getValue());
|
|
|
|
for (ptrdiff_t I = 0; I < ElementCount; ++I)
|
|
|
|
new (Memory + I) T;
|
|
|
|
return OwnedAsyncHostMemory<T>(Memory, ElementCount,
|
|
|
|
this->getFreeHostMemoryHandleDestructor());
|
|
|
|
}
|
|
|
|
|
|
|
|
/// \}
|
|
|
|
|
2016-10-28 08:54:02 +08:00
|
|
|
virtual Expected<Program> createProgramFromSource(Span<const char> Source,
|
|
|
|
int DeviceIndex = 0) = 0;
|
Initial check-in of Acxxel (StreamExecutor renamed)
Summary:
Acxxel is basically a simplified redesign of StreamExecutor.
Here are the major points where Acxxel differs from the current
StreamExecutor design:
* Acxxel doesn't support the kernel and kernel loader types designed for
emission by the compiler to support type-safe kernel launches. For
CUDA, kernels in Acxxel can be seamlessly launched using the standard
CUDA triple-chevron kernel launch syntax that is available with clang
and nvcc. For CUDA and OpenCL, kernel arguments can be passed in the
old-fashioned way, as one array of pointers to arguments and another
array of argument sizes. Although OpenCL doesn't get a type-safe
kernel launch method, it does still get the benefit of all the memory
management wrappers. In the future, clang may add support for
triple-chevron OpenCL kernel launchs, or some other type-safe OpenCL
kernel launch method.
* Acxxel does not depend on any other code in LLVM, so it builds
completely independently from LLVM.
The goal will be to check in Acxxel and remove StreamExecutor, or
perhaps to remove the old StreamExecutor and rename Acxxel to
StreamExecutor, so I think Acxxel should be thought of as a new version
of StreamExecutor, not as a separate project.
Reviewers: jlebar, jprice
Subscribers: beanz, mgorny, modocache, parallel_libs-commits
Differential Revision: https://reviews.llvm.org/D25701
llvm-svn: 285111
2016-10-26 04:18:56 +08:00
|
|
|
|
|
|
|
protected:
|
|
|
|
friend class Stream;
|
|
|
|
friend class Event;
|
|
|
|
friend class Program;
|
|
|
|
template <typename T> friend class DeviceMemorySpan;
|
|
|
|
|
|
|
|
void *getStreamHandle(Stream &Stream) { return Stream.TheHandle.get(); }
|
|
|
|
void *getEventHandle(Event &Event) { return Event.TheHandle.get(); }
|
|
|
|
|
|
|
|
// Pass along access to Stream constructor to subclasses.
|
2016-10-28 08:54:02 +08:00
|
|
|
Stream constructStream(Platform *APlatform, int DeviceIndex, void *AHandle,
|
Initial check-in of Acxxel (StreamExecutor renamed)
Summary:
Acxxel is basically a simplified redesign of StreamExecutor.
Here are the major points where Acxxel differs from the current
StreamExecutor design:
* Acxxel doesn't support the kernel and kernel loader types designed for
emission by the compiler to support type-safe kernel launches. For
CUDA, kernels in Acxxel can be seamlessly launched using the standard
CUDA triple-chevron kernel launch syntax that is available with clang
and nvcc. For CUDA and OpenCL, kernel arguments can be passed in the
old-fashioned way, as one array of pointers to arguments and another
array of argument sizes. Although OpenCL doesn't get a type-safe
kernel launch method, it does still get the benefit of all the memory
management wrappers. In the future, clang may add support for
triple-chevron OpenCL kernel launchs, or some other type-safe OpenCL
kernel launch method.
* Acxxel does not depend on any other code in LLVM, so it builds
completely independently from LLVM.
The goal will be to check in Acxxel and remove StreamExecutor, or
perhaps to remove the old StreamExecutor and rename Acxxel to
StreamExecutor, so I think Acxxel should be thought of as a new version
of StreamExecutor, not as a separate project.
Reviewers: jlebar, jprice
Subscribers: beanz, mgorny, modocache, parallel_libs-commits
Differential Revision: https://reviews.llvm.org/D25701
llvm-svn: 285111
2016-10-26 04:18:56 +08:00
|
|
|
HandleDestructor Destructor) {
|
2016-10-28 08:54:02 +08:00
|
|
|
return Stream(APlatform, DeviceIndex, AHandle, Destructor);
|
Initial check-in of Acxxel (StreamExecutor renamed)
Summary:
Acxxel is basically a simplified redesign of StreamExecutor.
Here are the major points where Acxxel differs from the current
StreamExecutor design:
* Acxxel doesn't support the kernel and kernel loader types designed for
emission by the compiler to support type-safe kernel launches. For
CUDA, kernels in Acxxel can be seamlessly launched using the standard
CUDA triple-chevron kernel launch syntax that is available with clang
and nvcc. For CUDA and OpenCL, kernel arguments can be passed in the
old-fashioned way, as one array of pointers to arguments and another
array of argument sizes. Although OpenCL doesn't get a type-safe
kernel launch method, it does still get the benefit of all the memory
management wrappers. In the future, clang may add support for
triple-chevron OpenCL kernel launchs, or some other type-safe OpenCL
kernel launch method.
* Acxxel does not depend on any other code in LLVM, so it builds
completely independently from LLVM.
The goal will be to check in Acxxel and remove StreamExecutor, or
perhaps to remove the old StreamExecutor and rename Acxxel to
StreamExecutor, so I think Acxxel should be thought of as a new version
of StreamExecutor, not as a separate project.
Reviewers: jlebar, jprice
Subscribers: beanz, mgorny, modocache, parallel_libs-commits
Differential Revision: https://reviews.llvm.org/D25701
llvm-svn: 285111
2016-10-26 04:18:56 +08:00
|
|
|
}
|
|
|
|
|
|
|
|
// Pass along access to Event constructor to subclasses.
|
2016-10-28 08:54:02 +08:00
|
|
|
Event constructEvent(Platform *APlatform, int DeviceIndex, void *AHandle,
|
Initial check-in of Acxxel (StreamExecutor renamed)
Summary:
Acxxel is basically a simplified redesign of StreamExecutor.
Here are the major points where Acxxel differs from the current
StreamExecutor design:
* Acxxel doesn't support the kernel and kernel loader types designed for
emission by the compiler to support type-safe kernel launches. For
CUDA, kernels in Acxxel can be seamlessly launched using the standard
CUDA triple-chevron kernel launch syntax that is available with clang
and nvcc. For CUDA and OpenCL, kernel arguments can be passed in the
old-fashioned way, as one array of pointers to arguments and another
array of argument sizes. Although OpenCL doesn't get a type-safe
kernel launch method, it does still get the benefit of all the memory
management wrappers. In the future, clang may add support for
triple-chevron OpenCL kernel launchs, or some other type-safe OpenCL
kernel launch method.
* Acxxel does not depend on any other code in LLVM, so it builds
completely independently from LLVM.
The goal will be to check in Acxxel and remove StreamExecutor, or
perhaps to remove the old StreamExecutor and rename Acxxel to
StreamExecutor, so I think Acxxel should be thought of as a new version
of StreamExecutor, not as a separate project.
Reviewers: jlebar, jprice
Subscribers: beanz, mgorny, modocache, parallel_libs-commits
Differential Revision: https://reviews.llvm.org/D25701
llvm-svn: 285111
2016-10-26 04:18:56 +08:00
|
|
|
HandleDestructor Destructor) {
|
2016-10-28 08:54:02 +08:00
|
|
|
return Event(APlatform, DeviceIndex, AHandle, Destructor);
|
Initial check-in of Acxxel (StreamExecutor renamed)
Summary:
Acxxel is basically a simplified redesign of StreamExecutor.
Here are the major points where Acxxel differs from the current
StreamExecutor design:
* Acxxel doesn't support the kernel and kernel loader types designed for
emission by the compiler to support type-safe kernel launches. For
CUDA, kernels in Acxxel can be seamlessly launched using the standard
CUDA triple-chevron kernel launch syntax that is available with clang
and nvcc. For CUDA and OpenCL, kernel arguments can be passed in the
old-fashioned way, as one array of pointers to arguments and another
array of argument sizes. Although OpenCL doesn't get a type-safe
kernel launch method, it does still get the benefit of all the memory
management wrappers. In the future, clang may add support for
triple-chevron OpenCL kernel launchs, or some other type-safe OpenCL
kernel launch method.
* Acxxel does not depend on any other code in LLVM, so it builds
completely independently from LLVM.
The goal will be to check in Acxxel and remove StreamExecutor, or
perhaps to remove the old StreamExecutor and rename Acxxel to
StreamExecutor, so I think Acxxel should be thought of as a new version
of StreamExecutor, not as a separate project.
Reviewers: jlebar, jprice
Subscribers: beanz, mgorny, modocache, parallel_libs-commits
Differential Revision: https://reviews.llvm.org/D25701
llvm-svn: 285111
2016-10-26 04:18:56 +08:00
|
|
|
}
|
|
|
|
|
|
|
|
// Pass along access to Program constructor to subclasses.
|
|
|
|
Program constructProgram(Platform *APlatform, void *AHandle,
|
|
|
|
HandleDestructor Destructor) {
|
|
|
|
return Program(APlatform, AHandle, Destructor);
|
|
|
|
}
|
|
|
|
|
|
|
|
virtual Status streamSync(void *Stream) = 0;
|
|
|
|
virtual Status streamWaitOnEvent(void *Stream, void *Event) = 0;
|
|
|
|
|
|
|
|
virtual Status enqueueEvent(void *Event, void *Stream) = 0;
|
|
|
|
virtual bool eventIsDone(void *Event) = 0;
|
|
|
|
virtual Status eventSync(void *Event) = 0;
|
|
|
|
virtual Expected<float> getSecondsBetweenEvents(void *StartEvent,
|
|
|
|
void *EndEvent) = 0;
|
|
|
|
|
2016-10-28 08:54:02 +08:00
|
|
|
virtual Expected<void *> rawMallocD(ptrdiff_t ByteCount, int DeviceIndex) = 0;
|
Initial check-in of Acxxel (StreamExecutor renamed)
Summary:
Acxxel is basically a simplified redesign of StreamExecutor.
Here are the major points where Acxxel differs from the current
StreamExecutor design:
* Acxxel doesn't support the kernel and kernel loader types designed for
emission by the compiler to support type-safe kernel launches. For
CUDA, kernels in Acxxel can be seamlessly launched using the standard
CUDA triple-chevron kernel launch syntax that is available with clang
and nvcc. For CUDA and OpenCL, kernel arguments can be passed in the
old-fashioned way, as one array of pointers to arguments and another
array of argument sizes. Although OpenCL doesn't get a type-safe
kernel launch method, it does still get the benefit of all the memory
management wrappers. In the future, clang may add support for
triple-chevron OpenCL kernel launchs, or some other type-safe OpenCL
kernel launch method.
* Acxxel does not depend on any other code in LLVM, so it builds
completely independently from LLVM.
The goal will be to check in Acxxel and remove StreamExecutor, or
perhaps to remove the old StreamExecutor and rename Acxxel to
StreamExecutor, so I think Acxxel should be thought of as a new version
of StreamExecutor, not as a separate project.
Reviewers: jlebar, jprice
Subscribers: beanz, mgorny, modocache, parallel_libs-commits
Differential Revision: https://reviews.llvm.org/D25701
llvm-svn: 285111
2016-10-26 04:18:56 +08:00
|
|
|
virtual HandleDestructor getDeviceMemoryHandleDestructor() = 0;
|
|
|
|
virtual void *getDeviceMemorySpanHandle(void *BaseHandle, size_t ByteSize,
|
|
|
|
size_t ByteOffset) = 0;
|
|
|
|
virtual void rawDestroyDeviceMemorySpanHandle(void *Handle) = 0;
|
|
|
|
|
2016-10-28 08:54:02 +08:00
|
|
|
virtual Expected<void *> rawGetDeviceSymbolAddress(const void *Symbol,
|
|
|
|
int DeviceIndex) = 0;
|
|
|
|
virtual Expected<ptrdiff_t> rawGetDeviceSymbolSize(const void *Symbol,
|
|
|
|
int DeviceIndex) = 0;
|
Initial check-in of Acxxel (StreamExecutor renamed)
Summary:
Acxxel is basically a simplified redesign of StreamExecutor.
Here are the major points where Acxxel differs from the current
StreamExecutor design:
* Acxxel doesn't support the kernel and kernel loader types designed for
emission by the compiler to support type-safe kernel launches. For
CUDA, kernels in Acxxel can be seamlessly launched using the standard
CUDA triple-chevron kernel launch syntax that is available with clang
and nvcc. For CUDA and OpenCL, kernel arguments can be passed in the
old-fashioned way, as one array of pointers to arguments and another
array of argument sizes. Although OpenCL doesn't get a type-safe
kernel launch method, it does still get the benefit of all the memory
management wrappers. In the future, clang may add support for
triple-chevron OpenCL kernel launchs, or some other type-safe OpenCL
kernel launch method.
* Acxxel does not depend on any other code in LLVM, so it builds
completely independently from LLVM.
The goal will be to check in Acxxel and remove StreamExecutor, or
perhaps to remove the old StreamExecutor and rename Acxxel to
StreamExecutor, so I think Acxxel should be thought of as a new version
of StreamExecutor, not as a separate project.
Reviewers: jlebar, jprice
Subscribers: beanz, mgorny, modocache, parallel_libs-commits
Differential Revision: https://reviews.llvm.org/D25701
llvm-svn: 285111
2016-10-26 04:18:56 +08:00
|
|
|
|
|
|
|
virtual Status rawRegisterHostMem(const void *Memory,
|
|
|
|
ptrdiff_t ByteCount) = 0;
|
|
|
|
virtual HandleDestructor getUnregisterHostMemoryHandleDestructor() = 0;
|
|
|
|
|
|
|
|
virtual Expected<void *> rawMallocRegisteredH(ptrdiff_t ByteCount) = 0;
|
|
|
|
virtual HandleDestructor getFreeHostMemoryHandleDestructor() = 0;
|
|
|
|
|
|
|
|
virtual Status asyncCopyDToD(const void *DeviceSrc,
|
|
|
|
ptrdiff_t DeviceSrcByteOffset, void *DeviceDst,
|
|
|
|
ptrdiff_t DeviceDstByteOffset,
|
|
|
|
ptrdiff_t ByteCount, void *Stream) = 0;
|
|
|
|
virtual Status asyncCopyDToH(const void *DeviceSrc,
|
|
|
|
ptrdiff_t DeviceSrcByteOffset, void *HostDst,
|
|
|
|
ptrdiff_t ByteCount, void *Stream) = 0;
|
|
|
|
virtual Status asyncCopyHToD(const void *HostSrc, void *DeviceDst,
|
|
|
|
ptrdiff_t DeviceDstByteOffset,
|
|
|
|
ptrdiff_t ByteCount, void *Stream) = 0;
|
|
|
|
|
|
|
|
virtual Status asyncMemsetD(void *DeviceDst, ptrdiff_t ByteOffset,
|
|
|
|
ptrdiff_t ByteCount, char ByteValue,
|
|
|
|
void *Stream) = 0;
|
|
|
|
|
|
|
|
virtual Status addStreamCallback(Stream &Stream, StreamCallback Callback) = 0;
|
|
|
|
|
|
|
|
virtual Expected<void *> rawCreateKernel(void *Program,
|
|
|
|
const std::string &Name) = 0;
|
|
|
|
virtual HandleDestructor getKernelHandleDestructor() = 0;
|
|
|
|
|
|
|
|
virtual Status rawEnqueueKernelLaunch(void *Stream, void *Kernel,
|
|
|
|
KernelLaunchDimensions LaunchDimensions,
|
|
|
|
Span<void *> Arguments,
|
|
|
|
Span<size_t> ArgumentSizes,
|
|
|
|
size_t SharedMemoryBytes) = 0;
|
|
|
|
};
|
|
|
|
|
|
|
|
// Implementation of templated Stream functions.
|
|
|
|
|
|
|
|
template <typename DeviceSrcTy, typename DeviceDstTy>
|
|
|
|
Stream &Stream::asyncCopyDToD(DeviceSrcTy &&DeviceSrc,
|
|
|
|
DeviceDstTy &&DeviceDst) {
|
|
|
|
using SrcElementTy =
|
|
|
|
typename std::remove_reference<DeviceSrcTy>::type::value_type;
|
|
|
|
using DstElementTy =
|
|
|
|
typename std::remove_reference<DeviceDstTy>::type::value_type;
|
|
|
|
static_assert(std::is_same<SrcElementTy, DstElementTy>::value,
|
|
|
|
"asyncCopyDToD cannot copy between arrays of different types");
|
|
|
|
DeviceMemorySpan<const SrcElementTy> DeviceSrcSpan(DeviceSrc);
|
|
|
|
DeviceMemorySpan<DstElementTy> DeviceDstSpan(DeviceDst);
|
|
|
|
if (DeviceSrcSpan.size() != DeviceDstSpan.size()) {
|
|
|
|
setStatus(Status("asyncCopyDToD source element count " +
|
|
|
|
std::to_string(DeviceSrcSpan.size()) +
|
|
|
|
" does not equal destination element count " +
|
|
|
|
std::to_string(DeviceDstSpan.size())));
|
|
|
|
return *this;
|
|
|
|
}
|
|
|
|
setStatus(ThePlatform->asyncCopyDToD(
|
|
|
|
DeviceSrcSpan.baseHandle(), DeviceSrcSpan.byte_offset(),
|
|
|
|
DeviceDstSpan.baseHandle(), DeviceDstSpan.byte_offset(),
|
|
|
|
DeviceSrcSpan.byte_size(), TheHandle.get()));
|
|
|
|
return *this;
|
|
|
|
}
|
|
|
|
|
|
|
|
template <typename DeviceSrcTy, typename DeviceDstTy>
|
|
|
|
Stream &Stream::asyncCopyDToD(DeviceSrcTy &&DeviceSrc, DeviceDstTy &&DeviceDst,
|
|
|
|
ptrdiff_t ElementCount) {
|
|
|
|
using SrcElementTy =
|
|
|
|
typename std::remove_reference<DeviceSrcTy>::type::value_type;
|
|
|
|
using DstElementTy =
|
|
|
|
typename std::remove_reference<DeviceDstTy>::type::value_type;
|
|
|
|
static_assert(std::is_same<SrcElementTy, DstElementTy>::value,
|
|
|
|
"asyncCopyDToD cannot copy between arrays of different types");
|
|
|
|
DeviceMemorySpan<const SrcElementTy> DeviceSrcSpan(DeviceSrc);
|
|
|
|
DeviceMemorySpan<DstElementTy> DeviceDstSpan(DeviceDst);
|
|
|
|
if (DeviceSrcSpan.size() < ElementCount) {
|
|
|
|
setStatus(Status("asyncCopyDToD source element count " +
|
|
|
|
std::to_string(DeviceSrcSpan.size()) +
|
|
|
|
" is less than requested element count " +
|
|
|
|
std::to_string(ElementCount)));
|
|
|
|
return *this;
|
|
|
|
}
|
|
|
|
if (DeviceDstSpan.size() < ElementCount) {
|
|
|
|
setStatus(Status("asyncCopyDToD destination element count " +
|
|
|
|
std::to_string(DeviceDst.size()) +
|
|
|
|
" is less than requested element count " +
|
|
|
|
std::to_string(ElementCount)));
|
|
|
|
return *this;
|
|
|
|
}
|
|
|
|
setStatus(ThePlatform->asyncCopyDToD(
|
|
|
|
DeviceSrcSpan.baseHandle(), DeviceSrcSpan.byte_offset(),
|
|
|
|
DeviceDstSpan.baseHandle(), DeviceDstSpan.byte_offset(),
|
|
|
|
ElementCount * sizeof(SrcElementTy), TheHandle.get()));
|
|
|
|
return *this;
|
|
|
|
}
|
|
|
|
|
|
|
|
template <typename DeviceSrcTy, typename HostDstTy>
|
|
|
|
Stream &Stream::asyncCopyDToH(DeviceSrcTy &&DeviceSrc, HostDstTy &&HostDst) {
|
|
|
|
using SrcElementTy =
|
|
|
|
typename std::remove_reference<DeviceSrcTy>::type::value_type;
|
|
|
|
DeviceMemorySpan<const SrcElementTy> DeviceSrcSpan(DeviceSrc);
|
|
|
|
AsyncHostMemorySpan<SrcElementTy> HostDstSpan(HostDst);
|
|
|
|
if (DeviceSrcSpan.size() != HostDstSpan.size()) {
|
|
|
|
setStatus(Status("asyncCopyDToH source element count " +
|
|
|
|
std::to_string(DeviceSrcSpan.size()) +
|
|
|
|
" does not equal destination element count " +
|
|
|
|
std::to_string(HostDstSpan.size())));
|
|
|
|
return *this;
|
|
|
|
}
|
|
|
|
setStatus(ThePlatform->asyncCopyDToH(
|
|
|
|
DeviceSrcSpan.baseHandle(), DeviceSrcSpan.byte_offset(),
|
|
|
|
HostDstSpan.data(), DeviceSrcSpan.byte_size(), TheHandle.get()));
|
|
|
|
return *this;
|
|
|
|
}
|
|
|
|
|
|
|
|
template <typename DeviceSrcTy, typename HostDstTy>
|
|
|
|
Stream &Stream::asyncCopyDToH(DeviceSrcTy &&DeviceSrc, HostDstTy &&HostDst,
|
|
|
|
ptrdiff_t ElementCount) {
|
|
|
|
using SrcElementTy =
|
|
|
|
typename std::remove_reference<DeviceSrcTy>::type::value_type;
|
|
|
|
DeviceMemorySpan<const SrcElementTy> DeviceSrcSpan(DeviceSrc);
|
|
|
|
AsyncHostMemorySpan<SrcElementTy> HostDstSpan(HostDst);
|
|
|
|
if (DeviceSrcSpan.size() < ElementCount) {
|
|
|
|
setStatus(Status("asyncCopyDToH source element count " +
|
|
|
|
std::to_string(DeviceSrcSpan.size()) +
|
|
|
|
" is less than requested element count " +
|
|
|
|
std::to_string(ElementCount)));
|
|
|
|
return *this;
|
|
|
|
}
|
|
|
|
if (HostDstSpan.size() < ElementCount) {
|
|
|
|
setStatus(Status("asyncCopyDToH destination element count " +
|
|
|
|
std::to_string(HostDstSpan.size()) +
|
|
|
|
" is less than requested element count " +
|
|
|
|
std::to_string(ElementCount)));
|
|
|
|
return *this;
|
|
|
|
}
|
|
|
|
setStatus(ThePlatform->asyncCopyDToH(
|
|
|
|
DeviceSrcSpan.baseHandle(), DeviceSrcSpan.byte_offset(),
|
|
|
|
HostDstSpan.data(), ElementCount * sizeof(SrcElementTy),
|
|
|
|
TheHandle.get()));
|
|
|
|
return *this;
|
|
|
|
}
|
|
|
|
|
|
|
|
template <typename HostSrcTy, typename DeviceDstTy>
|
|
|
|
Stream &Stream::asyncCopyHToD(HostSrcTy &&HostSrc, DeviceDstTy &&DeviceDst) {
|
|
|
|
using DstElementTy =
|
|
|
|
typename std::remove_reference<DeviceDstTy>::type::value_type;
|
|
|
|
AsyncHostMemorySpan<const DstElementTy> HostSrcSpan(HostSrc);
|
|
|
|
DeviceMemorySpan<DstElementTy> DeviceDstSpan(DeviceDst);
|
|
|
|
if (HostSrcSpan.size() != DeviceDstSpan.size()) {
|
|
|
|
setStatus(Status("asyncCopyHToD source element count " +
|
|
|
|
std::to_string(HostSrcSpan.size()) +
|
|
|
|
" does not equal destination element count " +
|
|
|
|
std::to_string(DeviceDstSpan.size())));
|
|
|
|
return *this;
|
|
|
|
}
|
|
|
|
setStatus(ThePlatform->asyncCopyHToD(
|
|
|
|
HostSrcSpan.data(), DeviceDstSpan.baseHandle(),
|
|
|
|
DeviceDstSpan.byte_offset(), HostSrcSpan.byte_size(), TheHandle.get()));
|
|
|
|
return *this;
|
|
|
|
}
|
|
|
|
|
|
|
|
template <typename HostSrcTy, typename DeviceDstTy>
|
|
|
|
Stream &Stream::asyncCopyHToD(HostSrcTy &&HostSrc, DeviceDstTy &DeviceDst,
|
|
|
|
ptrdiff_t ElementCount) {
|
|
|
|
using DstElementTy =
|
|
|
|
typename std::remove_reference<DeviceDstTy>::type::value_type;
|
|
|
|
AsyncHostMemorySpan<const DstElementTy> HostSrcSpan(HostSrc);
|
|
|
|
DeviceMemorySpan<DstElementTy> DeviceDstSpan(DeviceDst);
|
|
|
|
if (HostSrcSpan.size() < ElementCount) {
|
|
|
|
setStatus(Status("copyHToD source element count " +
|
|
|
|
std::to_string(HostSrcSpan.size()) +
|
|
|
|
" is less than requested element count " +
|
|
|
|
std::to_string(ElementCount)));
|
|
|
|
return *this;
|
|
|
|
}
|
|
|
|
if (DeviceDstSpan.size() < ElementCount) {
|
|
|
|
setStatus(Status("copyHToD destination element count " +
|
|
|
|
std::to_string(DeviceDstSpan.size()) +
|
|
|
|
" is less than requested element count " +
|
|
|
|
std::to_string(ElementCount)));
|
|
|
|
return *this;
|
|
|
|
}
|
|
|
|
setStatus(ThePlatform->asyncCopyHToD(
|
|
|
|
HostSrcSpan.data(), DeviceDstSpan.baseHandle(),
|
|
|
|
DeviceDstSpan.byte_offset(), ElementCount * sizeof(DstElementTy),
|
|
|
|
TheHandle.get()));
|
|
|
|
return *this;
|
|
|
|
}
|
|
|
|
|
|
|
|
template <typename DeviceDstTy>
|
|
|
|
Stream &Stream::asyncMemsetD(DeviceDstTy &&DeviceDst, char ByteValue) {
|
|
|
|
using DstElementTy =
|
|
|
|
typename std::remove_reference<DeviceDstTy>::type::value_type;
|
|
|
|
DeviceMemorySpan<DstElementTy> DeviceDstSpan(DeviceDst);
|
|
|
|
setStatus(ThePlatform->asyncMemsetD(
|
|
|
|
DeviceDstSpan.baseHandle(), DeviceDstSpan.byte_offset(),
|
|
|
|
DeviceDstSpan.byte_size(), ByteValue, TheHandle.get()));
|
|
|
|
return *this;
|
|
|
|
}
|
|
|
|
|
|
|
|
template <typename DeviceSrcTy, typename DeviceDstTy>
|
|
|
|
Stream &Stream::syncCopyDToD(DeviceSrcTy &&DeviceSrc, DeviceDstTy &&DeviceDst) {
|
|
|
|
using SrcElementTy =
|
|
|
|
typename std::remove_reference<DeviceSrcTy>::type::value_type;
|
|
|
|
using DstElementTy =
|
|
|
|
typename std::remove_reference<DeviceDstTy>::type::value_type;
|
|
|
|
static_assert(std::is_same<SrcElementTy, DstElementTy>::value,
|
|
|
|
"copyDToD cannot copy between arrays of different types");
|
|
|
|
DeviceMemorySpan<const SrcElementTy> DeviceSrcSpan(DeviceSrc);
|
|
|
|
DeviceMemorySpan<DstElementTy> DeviceDstSpan(DeviceDst);
|
|
|
|
if (DeviceSrcSpan.size() != DeviceDstSpan.size()) {
|
|
|
|
setStatus(Status("copyDToD source element count " +
|
|
|
|
std::to_string(DeviceSrcSpan.size()) +
|
|
|
|
" does not equal destination element count " +
|
|
|
|
std::to_string(DeviceDstSpan.size())));
|
|
|
|
return *this;
|
|
|
|
}
|
|
|
|
if (setStatus(ThePlatform->asyncCopyDToD(
|
|
|
|
DeviceSrcSpan.baseHandle(), DeviceSrcSpan.byte_offset(),
|
|
|
|
DeviceDstSpan.baseHandle(), DeviceDstSpan.byte_offset(),
|
|
|
|
DeviceSrcSpan.byte_size(), TheHandle.get()))
|
|
|
|
.isError()) {
|
|
|
|
return *this;
|
|
|
|
}
|
|
|
|
setStatus(sync());
|
|
|
|
return *this;
|
|
|
|
}
|
|
|
|
|
|
|
|
template <typename DeviceSrcTy, typename DeviceDstTy>
|
|
|
|
Stream &Stream::syncCopyDToD(DeviceSrcTy &&DeviceSrc, DeviceDstTy &&DeviceDst,
|
|
|
|
ptrdiff_t ElementCount) {
|
|
|
|
using SrcElementTy =
|
|
|
|
typename std::remove_reference<DeviceSrcTy>::type::value_type;
|
|
|
|
using DstElementTy =
|
|
|
|
typename std::remove_reference<DeviceDstTy>::type::value_type;
|
|
|
|
static_assert(std::is_same<SrcElementTy, DstElementTy>::value,
|
|
|
|
"copyDToD cannot copy between arrays of different types");
|
|
|
|
DeviceMemorySpan<const SrcElementTy> DeviceSrcSpan(DeviceSrc);
|
|
|
|
DeviceMemorySpan<DstElementTy> DeviceDstSpan(DeviceDst);
|
|
|
|
if (DeviceSrcSpan.size() < ElementCount) {
|
|
|
|
setStatus(Status("copyDToD source element count " +
|
|
|
|
std::to_string(DeviceSrcSpan.size()) +
|
|
|
|
" is less than requested element count " +
|
|
|
|
std::to_string(ElementCount)));
|
|
|
|
return *this;
|
|
|
|
}
|
|
|
|
if (DeviceDstSpan.size() < ElementCount) {
|
|
|
|
setStatus(Status("copyDToD destination element count " +
|
|
|
|
std::to_string(DeviceDst.size()) +
|
|
|
|
" is less than requested element count " +
|
|
|
|
std::to_string(ElementCount)));
|
|
|
|
return *this;
|
|
|
|
}
|
|
|
|
if (setStatus(ThePlatform->asyncCopyDToD(
|
|
|
|
DeviceSrcSpan.baseHandle(), DeviceSrcSpan.byte_offset(),
|
|
|
|
DeviceDstSpan.baseHandle(), DeviceDstSpan.byte_offset(),
|
|
|
|
ElementCount * sizeof(SrcElementTy), TheHandle.get()))
|
|
|
|
.isError()) {
|
|
|
|
return *this;
|
|
|
|
}
|
|
|
|
setStatus(sync());
|
|
|
|
return *this;
|
|
|
|
}
|
|
|
|
|
|
|
|
template <typename DeviceSrcTy, typename HostDstTy>
|
|
|
|
Stream &Stream::syncCopyDToH(DeviceSrcTy &&DeviceSrc, HostDstTy &&HostDst) {
|
|
|
|
using SrcElementTy =
|
|
|
|
typename std::remove_reference<DeviceSrcTy>::type::value_type;
|
|
|
|
DeviceMemorySpan<const SrcElementTy> DeviceSrcSpan(DeviceSrc);
|
|
|
|
Span<SrcElementTy> HostDstSpan(HostDst);
|
|
|
|
if (DeviceSrcSpan.size() != HostDstSpan.size()) {
|
|
|
|
setStatus(Status("copyDToH source element count " +
|
|
|
|
std::to_string(DeviceSrcSpan.size()) +
|
|
|
|
" does not equal destination element count " +
|
|
|
|
std::to_string(HostDstSpan.size())));
|
|
|
|
return *this;
|
|
|
|
}
|
|
|
|
if (setStatus(ThePlatform->asyncCopyDToH(
|
|
|
|
DeviceSrcSpan.baseHandle(), DeviceSrcSpan.byte_offset(),
|
|
|
|
HostDstSpan.data(), DeviceSrcSpan.byte_size(),
|
|
|
|
TheHandle.get()))
|
|
|
|
.isError()) {
|
|
|
|
return *this;
|
|
|
|
}
|
|
|
|
setStatus(sync());
|
|
|
|
return *this;
|
|
|
|
}
|
|
|
|
|
|
|
|
template <typename DeviceSrcTy, typename HostDstTy>
|
|
|
|
Stream &Stream::syncCopyDToH(DeviceSrcTy &&DeviceSrc, HostDstTy &&HostDst,
|
|
|
|
ptrdiff_t ElementCount) {
|
|
|
|
using SrcElementTy =
|
|
|
|
typename std::remove_reference<DeviceSrcTy>::type::value_type;
|
|
|
|
DeviceMemorySpan<const SrcElementTy> DeviceSrcSpan(DeviceSrc);
|
|
|
|
Span<SrcElementTy> HostDstSpan(HostDst);
|
|
|
|
if (DeviceSrcSpan.size() < ElementCount) {
|
|
|
|
setStatus(Status("copyDToH source element count " +
|
|
|
|
std::to_string(DeviceSrcSpan.size()) +
|
|
|
|
" is less than requested element count " +
|
|
|
|
std::to_string(ElementCount)));
|
|
|
|
return *this;
|
|
|
|
}
|
|
|
|
if (HostDstSpan.size() < ElementCount) {
|
|
|
|
setStatus(Status("copyDToH destination element count " +
|
|
|
|
std::to_string(HostDstSpan.size()) +
|
|
|
|
" is less than requested element count " +
|
|
|
|
std::to_string(ElementCount)));
|
|
|
|
return *this;
|
|
|
|
}
|
|
|
|
if (setStatus(ThePlatform->asyncCopyDToH(
|
|
|
|
DeviceSrcSpan.baseHandle(), DeviceSrcSpan.byte_offset(),
|
|
|
|
HostDstSpan.data(), ElementCount * sizeof(SrcElementTy),
|
|
|
|
TheHandle.get()))
|
|
|
|
.isError()) {
|
|
|
|
return *this;
|
|
|
|
}
|
|
|
|
setStatus(sync());
|
|
|
|
return *this;
|
|
|
|
}
|
|
|
|
|
|
|
|
template <typename HostSrcTy, typename DeviceDstTy>
|
|
|
|
Stream &Stream::syncCopyHToD(HostSrcTy &&HostSrc, DeviceDstTy &&DeviceDst) {
|
|
|
|
using DstElementTy =
|
|
|
|
typename std::remove_reference<DeviceDstTy>::type::value_type;
|
|
|
|
Span<const DstElementTy> HostSrcSpan(HostSrc);
|
|
|
|
DeviceMemorySpan<DstElementTy> DeviceDstSpan(DeviceDst);
|
|
|
|
if (HostSrcSpan.size() != DeviceDstSpan.size()) {
|
|
|
|
setStatus(Status("copyHToD source element count " +
|
|
|
|
std::to_string(HostSrcSpan.size()) +
|
|
|
|
" does not equal destination element count " +
|
|
|
|
std::to_string(DeviceDstSpan.size())));
|
|
|
|
return *this;
|
|
|
|
}
|
|
|
|
if (setStatus(ThePlatform->asyncCopyHToD(
|
|
|
|
HostSrcSpan.data(), DeviceDstSpan.baseHandle(),
|
|
|
|
DeviceDstSpan.byte_offset(), DeviceDstSpan.byte_size(),
|
|
|
|
TheHandle.get()))
|
|
|
|
.isError()) {
|
|
|
|
return *this;
|
|
|
|
}
|
|
|
|
setStatus(sync());
|
|
|
|
return *this;
|
|
|
|
}
|
|
|
|
|
|
|
|
template <typename HostSrcTy, typename DeviceDstTy>
|
|
|
|
Stream &Stream::syncCopyHToD(HostSrcTy &&HostSrc, DeviceDstTy &DeviceDst,
|
|
|
|
ptrdiff_t ElementCount) {
|
|
|
|
using DstElementTy =
|
|
|
|
typename std::remove_reference<DeviceDstTy>::type::value_type;
|
|
|
|
Span<const DstElementTy> HostSrcSpan(HostSrc);
|
|
|
|
DeviceMemorySpan<DstElementTy> DeviceDstSpan(DeviceDst);
|
|
|
|
if (HostSrcSpan.size() < ElementCount) {
|
|
|
|
setStatus(Status("copyHToD source element count " +
|
|
|
|
std::to_string(HostSrcSpan.size()) +
|
|
|
|
" is less than requested element count " +
|
|
|
|
std::to_string(ElementCount)));
|
|
|
|
return *this;
|
|
|
|
}
|
|
|
|
if (DeviceDstSpan.size() < ElementCount) {
|
|
|
|
setStatus(Status("copyHToD destination element count " +
|
|
|
|
std::to_string(DeviceDstSpan.size()) +
|
|
|
|
" is less than requested element count " +
|
|
|
|
std::to_string(ElementCount)));
|
|
|
|
return *this;
|
|
|
|
}
|
|
|
|
if (setStatus(ThePlatform->asyncCopyHToD(
|
|
|
|
HostSrcSpan.data(), DeviceDstSpan.baseHandle(),
|
|
|
|
DeviceDstSpan.byte_offset(),
|
|
|
|
ElementCount * sizeof(DstElementTy), TheHandle.get()))
|
|
|
|
.isError()) {
|
|
|
|
return *this;
|
|
|
|
}
|
|
|
|
setStatus(sync());
|
|
|
|
return *this;
|
|
|
|
}
|
|
|
|
|
|
|
|
/// Owned device memory.
|
|
|
|
///
|
|
|
|
/// Device memory that frees itself when it goes out of scope.
|
|
|
|
template <typename ElementType> class DeviceMemory {
|
|
|
|
public:
|
|
|
|
using element_type = ElementType;
|
|
|
|
using index_type = std::ptrdiff_t;
|
|
|
|
using value_type = typename std::remove_const<element_type>::type;
|
|
|
|
|
|
|
|
DeviceMemory(const DeviceMemory &) = delete;
|
|
|
|
DeviceMemory &operator=(const DeviceMemory &) = delete;
|
|
|
|
DeviceMemory(DeviceMemory &&) noexcept;
|
|
|
|
DeviceMemory &operator=(DeviceMemory &&) noexcept;
|
|
|
|
~DeviceMemory() = default;
|
|
|
|
|
|
|
|
/// Gets the raw base handle for the underlying platform implementation.
|
|
|
|
void *handle() const { return ThePointer.get(); }
|
|
|
|
|
|
|
|
index_type length() const { return TheSize; }
|
|
|
|
index_type size() const { return TheSize; }
|
|
|
|
index_type byte_size() const { // NOLINT
|
|
|
|
return TheSize * sizeof(element_type);
|
|
|
|
}
|
|
|
|
bool empty() const { return TheSize == 0; }
|
|
|
|
|
|
|
|
// These conversion operators are useful for making triple-chevron kernel
|
|
|
|
// launches more concise.
|
|
|
|
operator element_type *() {
|
|
|
|
return static_cast<element_type *>(ThePointer.get());
|
|
|
|
}
|
|
|
|
operator const element_type *() const { return ThePointer.get(); }
|
|
|
|
|
|
|
|
/// Converts a const object to a DeviceMemorySpan of const elements.
|
|
|
|
DeviceMemorySpan<const element_type> asSpan() const {
|
|
|
|
return DeviceMemorySpan<const element_type>(
|
|
|
|
ThePlatform, static_cast<const element_type *>(ThePointer.get()),
|
|
|
|
TheSize, 0);
|
|
|
|
}
|
|
|
|
|
|
|
|
/// Converts an object to a DeviceMemorySpan.
|
|
|
|
DeviceMemorySpan<element_type> asSpan() {
|
|
|
|
return DeviceMemorySpan<element_type>(
|
|
|
|
ThePlatform, static_cast<element_type *>(ThePointer.get()), TheSize, 0);
|
|
|
|
}
|
|
|
|
|
|
|
|
private:
|
|
|
|
friend class Platform;
|
|
|
|
template <typename T> friend class DeviceMemorySpan;
|
|
|
|
|
|
|
|
DeviceMemory(Platform *ThePlatform, void *Pointer, index_type ElementCount,
|
|
|
|
HandleDestructor Destructor)
|
|
|
|
: ThePlatform(ThePlatform), ThePointer(Pointer, Destructor),
|
|
|
|
TheSize(ElementCount) {}
|
|
|
|
|
|
|
|
Platform *ThePlatform;
|
|
|
|
std::unique_ptr<void, HandleDestructor> ThePointer;
|
|
|
|
ptrdiff_t TheSize;
|
|
|
|
};
|
|
|
|
|
|
|
|
template <typename T>
|
|
|
|
DeviceMemory<T>::DeviceMemory(DeviceMemory &&) noexcept = default;
|
|
|
|
template <typename T>
|
|
|
|
DeviceMemory<T> &DeviceMemory<T>::operator=(DeviceMemory &&) noexcept = default;
|
|
|
|
|
|
|
|
/// View into device memory.
|
|
|
|
///
|
|
|
|
/// Like a Span, but for device memory rather than host memory.
|
|
|
|
template <typename ElementType> class DeviceMemorySpan {
|
|
|
|
public:
|
|
|
|
/// \name constants and types
|
|
|
|
/// \{
|
|
|
|
using element_type = ElementType;
|
|
|
|
using index_type = std::ptrdiff_t;
|
|
|
|
using pointer = element_type *;
|
|
|
|
using reference = element_type &;
|
|
|
|
using iterator = element_type *;
|
|
|
|
using const_iterator = const element_type *;
|
|
|
|
using value_type = typename std::remove_const<element_type>::type;
|
|
|
|
/// \}
|
|
|
|
|
|
|
|
DeviceMemorySpan()
|
|
|
|
: ThePlatform(nullptr), TheHandle(nullptr), TheSize(0), TheOffset(0),
|
|
|
|
TheSpanHandle(nullptr) {}
|
|
|
|
|
|
|
|
// Intentionally implicit.
|
|
|
|
template <typename OtherElementType>
|
|
|
|
DeviceMemorySpan(DeviceMemorySpan<OtherElementType> &ASpan)
|
|
|
|
: ThePlatform(ASpan.ThePlatform),
|
|
|
|
TheHandle(static_cast<pointer>(ASpan.baseHandle())),
|
|
|
|
TheSize(ASpan.size()), TheOffset(ASpan.offset()),
|
|
|
|
TheSpanHandle(nullptr) {}
|
|
|
|
|
|
|
|
// Intentionally implicit.
|
|
|
|
template <typename OtherElementType>
|
|
|
|
DeviceMemorySpan(DeviceMemorySpan<OtherElementType> &&ASpan)
|
|
|
|
: ThePlatform(ASpan.ThePlatform),
|
|
|
|
TheHandle(static_cast<pointer>(ASpan.baseHandle())),
|
|
|
|
TheSize(ASpan.size()), TheOffset(ASpan.offset()),
|
|
|
|
TheSpanHandle(nullptr) {}
|
|
|
|
|
|
|
|
// Intentionally implicit.
|
|
|
|
template <typename OtherElementType>
|
|
|
|
DeviceMemorySpan(DeviceMemory<OtherElementType> &Memory)
|
|
|
|
: ThePlatform(Memory.ThePlatform),
|
|
|
|
TheHandle(static_cast<value_type *>(Memory.handle())),
|
|
|
|
TheSize(Memory.size()), TheOffset(0), TheSpanHandle(nullptr) {}
|
|
|
|
|
|
|
|
~DeviceMemorySpan() {
|
|
|
|
if (TheSpanHandle) {
|
|
|
|
ThePlatform->rawDestroyDeviceMemorySpanHandle(
|
|
|
|
const_cast<value_type *>(TheSpanHandle));
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
/// \name observers
|
|
|
|
/// \{
|
|
|
|
index_type length() const { return TheSize; }
|
|
|
|
index_type size() const { return TheSize; }
|
|
|
|
index_type byte_size() const { // NOLINT
|
|
|
|
return TheSize * sizeof(element_type);
|
|
|
|
}
|
|
|
|
index_type offset() const { return TheOffset; }
|
|
|
|
index_type byte_offset() const { // NOLINT
|
|
|
|
return TheOffset * sizeof(element_type);
|
|
|
|
}
|
|
|
|
bool empty() const { return TheSize == 0; }
|
|
|
|
/// \}
|
|
|
|
|
|
|
|
void *baseHandle() const {
|
|
|
|
return static_cast<void *>(const_cast<value_type *>(TheHandle));
|
|
|
|
}
|
|
|
|
|
|
|
|
/// Casts to a host memory pointer.
|
|
|
|
///
|
|
|
|
/// This is only guaranteed to make sense for the CUDA platform, where device
|
|
|
|
/// pointers can be stored and manipulated much like host pointers. This makes
|
|
|
|
/// it easy to do triple-chevron kernel launches in CUDA because
|
|
|
|
/// DeviceMemorySpan values can be passed to parameters expecting regular
|
|
|
|
/// pointers.
|
|
|
|
///
|
|
|
|
/// If the CUDA platform is using unified memory, it may also be possible to
|
|
|
|
/// dereference this pointer on the host.
|
|
|
|
///
|
|
|
|
/// For platforms other than CUDA, this may return a garbage pointer.
|
|
|
|
operator element_type *() const {
|
|
|
|
if (!TheSpanHandle)
|
|
|
|
TheSpanHandle = ThePlatform->getDeviceMemorySpanHandle(
|
|
|
|
TheHandle, TheSize * sizeof(element_type),
|
|
|
|
TheOffset * sizeof(element_type));
|
|
|
|
return TheSpanHandle;
|
|
|
|
}
|
|
|
|
|
|
|
|
DeviceMemorySpan<element_type> first(index_type Count) const {
|
|
|
|
bool Valid = Count >= 0 && Count <= TheSize;
|
|
|
|
if (!Valid)
|
|
|
|
std::terminate();
|
|
|
|
return DeviceMemorySpan<element_type>(ThePlatform, TheHandle, Count,
|
|
|
|
TheOffset);
|
|
|
|
}
|
|
|
|
|
|
|
|
DeviceMemorySpan<element_type> last(index_type Count) const {
|
|
|
|
bool Valid = Count >= 0 && Count <= TheSize;
|
|
|
|
if (!Valid)
|
|
|
|
std::terminate();
|
|
|
|
return DeviceMemorySpan<element_type>(ThePlatform, TheHandle, Count,
|
|
|
|
TheOffset + TheSize - Count);
|
|
|
|
}
|
|
|
|
|
|
|
|
DeviceMemorySpan<element_type>
|
|
|
|
subspan(index_type Offset, index_type Count = dynamic_extent) const {
|
|
|
|
bool Valid =
|
|
|
|
(Offset == 0 || (Offset > 0 && Offset <= TheSize)) &&
|
|
|
|
(Count == dynamic_extent || (Count >= 0 && Offset + Count <= TheSize));
|
|
|
|
if (!Valid)
|
|
|
|
std::terminate();
|
|
|
|
return DeviceMemorySpan<element_type>(ThePlatform, TheHandle, Count,
|
|
|
|
TheOffset + Offset);
|
|
|
|
}
|
|
|
|
|
|
|
|
private:
|
|
|
|
template <typename T> friend class DeviceMemory;
|
|
|
|
template <typename T> friend class DeviceMemorySpan;
|
|
|
|
friend class Platform;
|
|
|
|
|
|
|
|
DeviceMemorySpan(Platform *ThePlatform, pointer AHandle, index_type Size,
|
|
|
|
index_type Offset)
|
|
|
|
: ThePlatform(ThePlatform), TheHandle(AHandle), TheSize(Size),
|
|
|
|
TheOffset(Offset), TheSpanHandle(nullptr) {}
|
|
|
|
|
|
|
|
Platform *ThePlatform;
|
|
|
|
pointer TheHandle;
|
|
|
|
index_type TheSize;
|
|
|
|
index_type TheOffset;
|
|
|
|
pointer TheSpanHandle;
|
|
|
|
};
|
|
|
|
|
|
|
|
/// Asynchronous host memory.
|
|
|
|
///
|
|
|
|
/// This memory is pinned or otherwise registered in the host memory space to
|
|
|
|
/// allow for asynchronous copies between it and device memory.
|
|
|
|
///
|
|
|
|
/// This memory unpins/unregisters itself when it goes out of scope, but does
|
|
|
|
/// not free itself.
|
|
|
|
template <typename ElementType> class AsyncHostMemory {
|
|
|
|
public:
|
|
|
|
using value_type = ElementType;
|
|
|
|
using remove_const_type = typename std::remove_const<ElementType>::type;
|
|
|
|
|
|
|
|
AsyncHostMemory(const AsyncHostMemory &) = delete;
|
|
|
|
AsyncHostMemory &operator=(const AsyncHostMemory &) = delete;
|
|
|
|
AsyncHostMemory(AsyncHostMemory &&) noexcept;
|
|
|
|
AsyncHostMemory &operator=(AsyncHostMemory &&) noexcept;
|
|
|
|
~AsyncHostMemory() = default;
|
|
|
|
|
|
|
|
template <typename OtherElementType>
|
|
|
|
AsyncHostMemory(AsyncHostMemory<OtherElementType> &&Other)
|
|
|
|
: ThePointer(std::move(Other.ThePointer)),
|
|
|
|
TheElementCount(Other.TheElementCount) {
|
|
|
|
static_assert(
|
|
|
|
std::is_assignable<ElementType *, OtherElementType *>::value,
|
|
|
|
"cannot assign OtherElementType pointer to ElementType pointer type");
|
|
|
|
}
|
|
|
|
|
|
|
|
ElementType *data() const {
|
|
|
|
return const_cast<ElementType *>(
|
|
|
|
static_cast<remove_const_type *>(ThePointer.get()));
|
|
|
|
}
|
|
|
|
ptrdiff_t size() const { return TheElementCount; }
|
|
|
|
|
|
|
|
private:
|
|
|
|
template <typename U> friend class AsyncHostMemory;
|
|
|
|
friend class Platform;
|
|
|
|
AsyncHostMemory(ElementType *Pointer, ptrdiff_t ElementCount,
|
|
|
|
HandleDestructor Destructor)
|
|
|
|
: ThePointer(
|
|
|
|
static_cast<void *>(const_cast<remove_const_type *>(Pointer)),
|
|
|
|
Destructor),
|
|
|
|
TheElementCount(ElementCount) {}
|
|
|
|
|
|
|
|
std::unique_ptr<void, HandleDestructor> ThePointer;
|
|
|
|
ptrdiff_t TheElementCount;
|
|
|
|
};
|
|
|
|
|
|
|
|
template <typename T>
|
|
|
|
AsyncHostMemory<T>::AsyncHostMemory(AsyncHostMemory &&) noexcept = default;
|
|
|
|
template <typename T>
|
|
|
|
AsyncHostMemory<T> &AsyncHostMemory<T>::
|
|
|
|
operator=(AsyncHostMemory &&) noexcept = default;
|
|
|
|
|
|
|
|
/// Owned registered host memory.
|
|
|
|
///
|
|
|
|
/// Like AsyncHostMemory, but this memory also frees itself in addition to
|
|
|
|
/// unpinning/unregistering itself when it goes out of scope.
|
|
|
|
template <typename ElementType> class OwnedAsyncHostMemory {
|
|
|
|
public:
|
|
|
|
using remove_const_type = typename std::remove_const<ElementType>::type;
|
|
|
|
|
|
|
|
OwnedAsyncHostMemory(const OwnedAsyncHostMemory &) = delete;
|
|
|
|
OwnedAsyncHostMemory &operator=(const OwnedAsyncHostMemory &) = delete;
|
|
|
|
OwnedAsyncHostMemory(OwnedAsyncHostMemory &&) noexcept;
|
|
|
|
OwnedAsyncHostMemory &operator=(OwnedAsyncHostMemory &&) noexcept;
|
|
|
|
|
|
|
|
~OwnedAsyncHostMemory() {
|
|
|
|
if (ThePointer.get()) {
|
|
|
|
// We use placement new to construct these objects, so we have to call the
|
|
|
|
// destructors explicitly.
|
|
|
|
for (ptrdiff_t I = 0; I < TheElementCount; ++I)
|
|
|
|
static_cast<ElementType *>(ThePointer.get())[I].~ElementType();
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
ElementType *get() const {
|
|
|
|
return const_cast<ElementType *>(
|
|
|
|
static_cast<remove_const_type *>(ThePointer.get()));
|
|
|
|
}
|
|
|
|
|
|
|
|
ElementType &operator[](ptrdiff_t I) const {
|
|
|
|
assert(I >= 0 && I < TheElementCount);
|
|
|
|
return get()[I];
|
|
|
|
}
|
|
|
|
|
|
|
|
private:
|
|
|
|
template <typename T> friend class AsyncHostMemorySpan;
|
|
|
|
|
|
|
|
friend class Platform;
|
|
|
|
|
|
|
|
OwnedAsyncHostMemory(void *Memory, ptrdiff_t ElementCount,
|
|
|
|
HandleDestructor Destructor)
|
|
|
|
: ThePointer(Memory, Destructor), TheElementCount(ElementCount) {}
|
|
|
|
|
|
|
|
std::unique_ptr<void, HandleDestructor> ThePointer;
|
|
|
|
ptrdiff_t TheElementCount;
|
|
|
|
};
|
|
|
|
|
|
|
|
template <typename T>
|
|
|
|
OwnedAsyncHostMemory<T>::OwnedAsyncHostMemory(
|
|
|
|
OwnedAsyncHostMemory &&) noexcept = default;
|
|
|
|
template <typename T>
|
|
|
|
OwnedAsyncHostMemory<T> &OwnedAsyncHostMemory<T>::
|
|
|
|
operator=(OwnedAsyncHostMemory &&) noexcept = default;
|
|
|
|
|
|
|
|
/// View into registered host memory.
|
|
|
|
///
|
|
|
|
/// Like Span but for registered host memory.
|
|
|
|
template <typename ElementType> class AsyncHostMemorySpan {
|
|
|
|
public:
|
|
|
|
/// \name constants and types
|
|
|
|
/// \{
|
|
|
|
using element_type = ElementType;
|
|
|
|
using index_type = std::ptrdiff_t;
|
|
|
|
using pointer = element_type *;
|
|
|
|
using reference = element_type &;
|
|
|
|
using iterator = element_type *;
|
|
|
|
using const_iterator = const element_type *;
|
|
|
|
using value_type = typename std::remove_const<element_type>::type;
|
|
|
|
/// \}
|
|
|
|
|
|
|
|
AsyncHostMemorySpan() : TheSpan() {}
|
|
|
|
|
|
|
|
// Intentionally implicit.
|
|
|
|
template <typename OtherElementType>
|
|
|
|
AsyncHostMemorySpan(AsyncHostMemory<OtherElementType> &Memory)
|
|
|
|
: TheSpan(Memory.data(), Memory.size()) {}
|
|
|
|
|
|
|
|
// Intentionally implicit.
|
|
|
|
template <typename OtherElementType>
|
|
|
|
AsyncHostMemorySpan(OwnedAsyncHostMemory<OtherElementType> &Owned)
|
|
|
|
: TheSpan(Owned.get(), Owned.TheElementCount) {}
|
|
|
|
|
|
|
|
// Intentionally implicit.
|
|
|
|
template <typename OtherElementType>
|
|
|
|
AsyncHostMemorySpan(AsyncHostMemorySpan<OtherElementType> &ASpan)
|
|
|
|
: TheSpan(ASpan) {}
|
|
|
|
|
|
|
|
// Intentionally implicit.
|
|
|
|
template <typename OtherElementType>
|
|
|
|
AsyncHostMemorySpan(AsyncHostMemorySpan<OtherElementType> &&Span)
|
|
|
|
: TheSpan(Span) {}
|
|
|
|
|
|
|
|
/// \name observers
|
|
|
|
/// \{
|
|
|
|
index_type length() const { return TheSpan.length(); }
|
|
|
|
index_type size() const { return TheSpan.size(); }
|
|
|
|
index_type byte_size() const { // NOLINT
|
|
|
|
return TheSpan.size() * sizeof(element_type);
|
|
|
|
}
|
|
|
|
bool empty() const { return TheSpan.empty(); }
|
|
|
|
/// \}
|
|
|
|
|
|
|
|
pointer data() const noexcept { return TheSpan.data(); }
|
|
|
|
operator element_type *() const { return TheSpan.data(); }
|
|
|
|
|
|
|
|
AsyncHostMemorySpan<element_type> first(index_type Count) const {
|
|
|
|
return AsyncHostMemorySpan<element_type>(TheSpan.first(Count));
|
|
|
|
}
|
|
|
|
|
|
|
|
AsyncHostMemorySpan<element_type> last(index_type Count) const {
|
|
|
|
return AsyncHostMemorySpan<element_type>(TheSpan.last(Count));
|
|
|
|
}
|
|
|
|
|
|
|
|
AsyncHostMemorySpan<element_type>
|
|
|
|
subspan(index_type Offset, index_type Count = dynamic_extent) const {
|
|
|
|
return AsyncHostMemorySpan<element_type>(TheSpan.subspan(Offset, Count));
|
|
|
|
}
|
|
|
|
|
|
|
|
private:
|
|
|
|
template <typename T> friend class AsyncHostMemory;
|
|
|
|
|
|
|
|
explicit AsyncHostMemorySpan(Span<ElementType> ArraySpan)
|
|
|
|
: TheSpan(ArraySpan) {}
|
|
|
|
|
|
|
|
Span<ElementType> TheSpan;
|
|
|
|
};
|
|
|
|
|
|
|
|
} // namespace acxxel
|
|
|
|
|
|
|
|
#endif // ACXXEL_ACXXEL_H
|