forked from OSchip/llvm-project
520 lines
16 KiB
C
520 lines
16 KiB
C
/******************** GPUJIT.c - GPUJIT Execution Engine **********************/
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/* */
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/* The LLVM Compiler Infrastructure */
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/* */
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/* This file is dual licensed under the MIT and the University of Illinois */
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/* Open Source License. See LICENSE.TXT for details. */
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/* */
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/******************************************************************************/
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/* */
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/* This file implements GPUJIT, a ptx string execution engine for GPU. */
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/* */
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/******************************************************************************/
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#include "GPUJIT.h"
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#include <cuda.h>
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#include <cuda_runtime.h>
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#include <dlfcn.h>
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#include <stdarg.h>
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#include <stdio.h>
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#include <string.h>
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static int DebugMode;
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static int CacheMode;
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static void debug_print(const char *format, ...) {
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if (!DebugMode)
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return;
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va_list args;
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va_start(args, format);
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vfprintf(stderr, format, args);
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va_end(args);
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}
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#define dump_function() debug_print("-> %s\n", __func__)
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/* Define Polly's GPGPU data types. */
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struct PollyGPUContextT {
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CUcontext Cuda;
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};
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struct PollyGPUFunctionT {
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CUfunction Cuda;
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CUmodule CudaModule;
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const char *PTXString;
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};
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struct PollyGPUDevicePtrT {
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CUdeviceptr Cuda;
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};
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/* Dynamic library handles for the CUDA and CUDA runtime library. */
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static void *HandleCuda;
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static void *HandleCudaRT;
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/* Type-defines of function pointer to CUDA driver APIs. */
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typedef CUresult CUDAAPI CuMemAllocFcnTy(CUdeviceptr *, size_t);
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static CuMemAllocFcnTy *CuMemAllocFcnPtr;
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typedef CUresult CUDAAPI CuLaunchKernelFcnTy(
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CUfunction f, unsigned int gridDimX, unsigned int gridDimY,
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unsigned int gridDimZ, unsigned int blockDimX, unsigned int blockDimY,
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unsigned int blockDimZ, unsigned int sharedMemBytes, CUstream hStream,
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void **kernelParams, void **extra);
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static CuLaunchKernelFcnTy *CuLaunchKernelFcnPtr;
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typedef CUresult CUDAAPI CuMemcpyDtoHFcnTy(void *, CUdeviceptr, size_t);
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static CuMemcpyDtoHFcnTy *CuMemcpyDtoHFcnPtr;
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typedef CUresult CUDAAPI CuMemcpyHtoDFcnTy(CUdeviceptr, const void *, size_t);
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static CuMemcpyHtoDFcnTy *CuMemcpyHtoDFcnPtr;
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typedef CUresult CUDAAPI CuMemFreeFcnTy(CUdeviceptr);
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static CuMemFreeFcnTy *CuMemFreeFcnPtr;
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typedef CUresult CUDAAPI CuModuleUnloadFcnTy(CUmodule);
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static CuModuleUnloadFcnTy *CuModuleUnloadFcnPtr;
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typedef CUresult CUDAAPI CuCtxDestroyFcnTy(CUcontext);
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static CuCtxDestroyFcnTy *CuCtxDestroyFcnPtr;
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typedef CUresult CUDAAPI CuInitFcnTy(unsigned int);
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static CuInitFcnTy *CuInitFcnPtr;
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typedef CUresult CUDAAPI CuDeviceGetCountFcnTy(int *);
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static CuDeviceGetCountFcnTy *CuDeviceGetCountFcnPtr;
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typedef CUresult CUDAAPI CuCtxCreateFcnTy(CUcontext *, unsigned int, CUdevice);
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static CuCtxCreateFcnTy *CuCtxCreateFcnPtr;
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typedef CUresult CUDAAPI CuDeviceGetFcnTy(CUdevice *, int);
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static CuDeviceGetFcnTy *CuDeviceGetFcnPtr;
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typedef CUresult CUDAAPI CuModuleLoadDataExFcnTy(CUmodule *, const void *,
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unsigned int, CUjit_option *,
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void **);
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static CuModuleLoadDataExFcnTy *CuModuleLoadDataExFcnPtr;
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typedef CUresult CUDAAPI CuModuleLoadDataFcnTy(CUmodule *module,
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const void *image);
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static CuModuleLoadDataFcnTy *CuModuleLoadDataFcnPtr;
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typedef CUresult CUDAAPI CuModuleGetFunctionFcnTy(CUfunction *, CUmodule,
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const char *);
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static CuModuleGetFunctionFcnTy *CuModuleGetFunctionFcnPtr;
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typedef CUresult CUDAAPI CuDeviceComputeCapabilityFcnTy(int *, int *, CUdevice);
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static CuDeviceComputeCapabilityFcnTy *CuDeviceComputeCapabilityFcnPtr;
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typedef CUresult CUDAAPI CuDeviceGetNameFcnTy(char *, int, CUdevice);
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static CuDeviceGetNameFcnTy *CuDeviceGetNameFcnPtr;
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typedef CUresult CUDAAPI CuLinkAddDataFcnTy(CUlinkState state,
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CUjitInputType type, void *data,
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size_t size, const char *name,
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unsigned int numOptions,
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CUjit_option *options,
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void **optionValues);
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static CuLinkAddDataFcnTy *CuLinkAddDataFcnPtr;
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typedef CUresult CUDAAPI CuLinkCreateFcnTy(unsigned int numOptions,
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CUjit_option *options,
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void **optionValues,
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CUlinkState *stateOut);
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static CuLinkCreateFcnTy *CuLinkCreateFcnPtr;
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typedef CUresult CUDAAPI CuLinkCompleteFcnTy(CUlinkState state, void **cubinOut,
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size_t *sizeOut);
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static CuLinkCompleteFcnTy *CuLinkCompleteFcnPtr;
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typedef CUresult CUDAAPI CuLinkDestroyFcnTy(CUlinkState state);
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static CuLinkDestroyFcnTy *CuLinkDestroyFcnPtr;
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typedef CUresult CUDAAPI CuCtxSynchronizeFcnTy();
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static CuCtxSynchronizeFcnTy *CuCtxSynchronizeFcnPtr;
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/* Type-defines of function pointer ot CUDA runtime APIs. */
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typedef cudaError_t CUDARTAPI CudaThreadSynchronizeFcnTy(void);
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static CudaThreadSynchronizeFcnTy *CudaThreadSynchronizeFcnPtr;
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static void *getAPIHandle(void *Handle, const char *FuncName) {
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char *Err;
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void *FuncPtr;
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dlerror();
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FuncPtr = dlsym(Handle, FuncName);
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if ((Err = dlerror()) != 0) {
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fprintf(stderr, "Load CUDA driver API failed: %s. \n", Err);
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return 0;
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}
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return FuncPtr;
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}
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static int initialDeviceAPILibraries() {
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HandleCuda = dlopen("libcuda.so", RTLD_LAZY);
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if (!HandleCuda) {
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printf("Cannot open library: %s. \n", dlerror());
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return 0;
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}
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HandleCudaRT = dlopen("libcudart.so", RTLD_LAZY);
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if (!HandleCudaRT) {
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printf("Cannot open library: %s. \n", dlerror());
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return 0;
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}
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return 1;
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}
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static int initialDeviceAPIs() {
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if (initialDeviceAPILibraries() == 0)
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return 0;
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/* Get function pointer to CUDA Driver APIs.
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*
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* Note that compilers conforming to the ISO C standard are required to
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* generate a warning if a conversion from a void * pointer to a function
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* pointer is attempted as in the following statements. The warning
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* of this kind of cast may not be emitted by clang and new versions of gcc
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* as it is valid on POSIX 2008.
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*/
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CuLaunchKernelFcnPtr =
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(CuLaunchKernelFcnTy *)getAPIHandle(HandleCuda, "cuLaunchKernel");
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CuMemAllocFcnPtr =
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(CuMemAllocFcnTy *)getAPIHandle(HandleCuda, "cuMemAlloc_v2");
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CuMemFreeFcnPtr = (CuMemFreeFcnTy *)getAPIHandle(HandleCuda, "cuMemFree_v2");
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CuMemcpyDtoHFcnPtr =
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(CuMemcpyDtoHFcnTy *)getAPIHandle(HandleCuda, "cuMemcpyDtoH_v2");
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CuMemcpyHtoDFcnPtr =
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(CuMemcpyHtoDFcnTy *)getAPIHandle(HandleCuda, "cuMemcpyHtoD_v2");
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CuModuleUnloadFcnPtr =
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(CuModuleUnloadFcnTy *)getAPIHandle(HandleCuda, "cuModuleUnload");
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CuCtxDestroyFcnPtr =
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(CuCtxDestroyFcnTy *)getAPIHandle(HandleCuda, "cuCtxDestroy");
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CuInitFcnPtr = (CuInitFcnTy *)getAPIHandle(HandleCuda, "cuInit");
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CuDeviceGetCountFcnPtr =
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(CuDeviceGetCountFcnTy *)getAPIHandle(HandleCuda, "cuDeviceGetCount");
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CuDeviceGetFcnPtr =
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(CuDeviceGetFcnTy *)getAPIHandle(HandleCuda, "cuDeviceGet");
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CuCtxCreateFcnPtr =
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(CuCtxCreateFcnTy *)getAPIHandle(HandleCuda, "cuCtxCreate_v2");
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CuModuleLoadDataExFcnPtr =
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(CuModuleLoadDataExFcnTy *)getAPIHandle(HandleCuda, "cuModuleLoadDataEx");
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CuModuleLoadDataFcnPtr =
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(CuModuleLoadDataFcnTy *)getAPIHandle(HandleCuda, "cuModuleLoadData");
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CuModuleGetFunctionFcnPtr = (CuModuleGetFunctionFcnTy *)getAPIHandle(
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HandleCuda, "cuModuleGetFunction");
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CuDeviceComputeCapabilityFcnPtr =
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(CuDeviceComputeCapabilityFcnTy *)getAPIHandle(
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HandleCuda, "cuDeviceComputeCapability");
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CuDeviceGetNameFcnPtr =
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(CuDeviceGetNameFcnTy *)getAPIHandle(HandleCuda, "cuDeviceGetName");
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CuLinkAddDataFcnPtr =
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(CuLinkAddDataFcnTy *)getAPIHandle(HandleCuda, "cuLinkAddData");
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CuLinkCreateFcnPtr =
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(CuLinkCreateFcnTy *)getAPIHandle(HandleCuda, "cuLinkCreate");
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CuLinkCompleteFcnPtr =
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(CuLinkCompleteFcnTy *)getAPIHandle(HandleCuda, "cuLinkComplete");
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CuLinkDestroyFcnPtr =
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(CuLinkDestroyFcnTy *)getAPIHandle(HandleCuda, "cuLinkDestroy");
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CuCtxSynchronizeFcnPtr =
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(CuCtxSynchronizeFcnTy *)getAPIHandle(HandleCuda, "cuCtxSynchronize");
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/* Get function pointer to CUDA Runtime APIs. */
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CudaThreadSynchronizeFcnPtr = (CudaThreadSynchronizeFcnTy *)getAPIHandle(
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HandleCudaRT, "cudaThreadSynchronize");
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return 1;
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}
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PollyGPUContext *polly_initContext() {
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DebugMode = getenv("POLLY_DEBUG") != 0;
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dump_function();
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PollyGPUContext *Context;
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CUdevice Device;
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int Major = 0, Minor = 0, DeviceID = 0;
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char DeviceName[256];
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int DeviceCount = 0;
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static __thread PollyGPUContext *CurrentContext = NULL;
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if (CurrentContext)
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return CurrentContext;
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/* Get API handles. */
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if (initialDeviceAPIs() == 0) {
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fprintf(stderr, "Getting the \"handle\" for the CUDA driver API failed.\n");
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exit(-1);
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}
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if (CuInitFcnPtr(0) != CUDA_SUCCESS) {
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fprintf(stderr, "Initializing the CUDA driver API failed.\n");
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exit(-1);
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}
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/* Get number of devices that supports CUDA. */
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CuDeviceGetCountFcnPtr(&DeviceCount);
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if (DeviceCount == 0) {
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fprintf(stderr, "There is no device supporting CUDA.\n");
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exit(-1);
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}
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CuDeviceGetFcnPtr(&Device, 0);
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/* Get compute capabilities and the device name. */
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CuDeviceComputeCapabilityFcnPtr(&Major, &Minor, Device);
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CuDeviceGetNameFcnPtr(DeviceName, 256, Device);
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debug_print("> Running on GPU device %d : %s.\n", DeviceID, DeviceName);
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/* Create context on the device. */
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Context = (PollyGPUContext *)malloc(sizeof(PollyGPUContext));
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if (Context == 0) {
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fprintf(stderr, "Allocate memory for Polly GPU context failed.\n");
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exit(-1);
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}
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CuCtxCreateFcnPtr(&(Context->Cuda), 0, Device);
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CacheMode = getenv("POLLY_NOCACHE") == 0;
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if (CacheMode)
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CurrentContext = Context;
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return Context;
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}
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static void freeKernel(PollyGPUFunction *Kernel) {
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if (Kernel->CudaModule)
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CuModuleUnloadFcnPtr(Kernel->CudaModule);
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if (Kernel)
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free(Kernel);
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}
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#define KERNEL_CACHE_SIZE 10
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PollyGPUFunction *polly_getKernel(const char *PTXBuffer,
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const char *KernelName) {
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dump_function();
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static __thread PollyGPUFunction *KernelCache[KERNEL_CACHE_SIZE];
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static __thread int NextCacheItem = 0;
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for (long i = 0; i < KERNEL_CACHE_SIZE; i++) {
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// We exploit here the property that all Polly-ACC kernels are allocated
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// as global constants, hence a pointer comparision is sufficient to
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// determin equality.
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if (KernelCache[i] && KernelCache[i]->PTXString == PTXBuffer) {
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debug_print(" -> using cached kernel\n");
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return KernelCache[i];
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}
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}
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PollyGPUFunction *Function = malloc(sizeof(PollyGPUFunction));
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if (Function == 0) {
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fprintf(stderr, "Allocate memory for Polly GPU function failed.\n");
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exit(-1);
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}
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CUresult Res;
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CUlinkState LState;
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CUjit_option Options[6];
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void *OptionVals[6];
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float Walltime = 0;
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unsigned long LogSize = 8192;
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char ErrorLog[8192], InfoLog[8192];
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void *CuOut;
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size_t OutSize;
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// Setup linker options
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// Return walltime from JIT compilation
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Options[0] = CU_JIT_WALL_TIME;
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OptionVals[0] = (void *)&Walltime;
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// Pass a buffer for info messages
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Options[1] = CU_JIT_INFO_LOG_BUFFER;
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OptionVals[1] = (void *)InfoLog;
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// Pass the size of the info buffer
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Options[2] = CU_JIT_INFO_LOG_BUFFER_SIZE_BYTES;
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OptionVals[2] = (void *)LogSize;
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// Pass a buffer for error message
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Options[3] = CU_JIT_ERROR_LOG_BUFFER;
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OptionVals[3] = (void *)ErrorLog;
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// Pass the size of the error buffer
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Options[4] = CU_JIT_ERROR_LOG_BUFFER_SIZE_BYTES;
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OptionVals[4] = (void *)LogSize;
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// Make the linker verbose
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Options[5] = CU_JIT_LOG_VERBOSE;
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OptionVals[5] = (void *)1;
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memset(ErrorLog, 0, sizeof(ErrorLog));
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CuLinkCreateFcnPtr(6, Options, OptionVals, &LState);
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Res = CuLinkAddDataFcnPtr(LState, CU_JIT_INPUT_PTX, (void *)PTXBuffer,
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strlen(PTXBuffer) + 1, 0, 0, 0, 0);
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if (Res != CUDA_SUCCESS) {
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fprintf(stderr, "PTX Linker Error:\n%s\n%s", ErrorLog, InfoLog);
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exit(-1);
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}
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Res = CuLinkCompleteFcnPtr(LState, &CuOut, &OutSize);
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if (Res != CUDA_SUCCESS) {
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fprintf(stderr, "Complete ptx linker step failed.\n");
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fprintf(stderr, "\n%s\n", ErrorLog);
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exit(-1);
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}
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debug_print("CUDA Link Completed in %fms. Linker Output:\n%s\n", Walltime,
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InfoLog);
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Res = CuModuleLoadDataFcnPtr(&(Function->CudaModule), CuOut);
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if (Res != CUDA_SUCCESS) {
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fprintf(stderr, "Loading ptx assembly text failed.\n");
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exit(-1);
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}
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Res = CuModuleGetFunctionFcnPtr(&(Function->Cuda), Function->CudaModule,
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KernelName);
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if (Res != CUDA_SUCCESS) {
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fprintf(stderr, "Loading kernel function failed.\n");
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exit(-1);
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}
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CuLinkDestroyFcnPtr(LState);
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Function->PTXString = PTXBuffer;
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if (CacheMode) {
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if (KernelCache[NextCacheItem])
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freeKernel(KernelCache[NextCacheItem]);
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KernelCache[NextCacheItem] = Function;
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NextCacheItem = (NextCacheItem + 1) % KERNEL_CACHE_SIZE;
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}
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return Function;
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}
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void polly_freeKernel(PollyGPUFunction *Kernel) {
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dump_function();
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if (CacheMode)
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return;
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freeKernel(Kernel);
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}
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void polly_copyFromHostToDevice(void *HostData, PollyGPUDevicePtr *DevData,
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long MemSize) {
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dump_function();
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CUdeviceptr CuDevData = DevData->Cuda;
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CuMemcpyHtoDFcnPtr(CuDevData, HostData, MemSize);
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}
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void polly_copyFromDeviceToHost(PollyGPUDevicePtr *DevData, void *HostData,
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long MemSize) {
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dump_function();
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if (CuMemcpyDtoHFcnPtr(HostData, DevData->Cuda, MemSize) != CUDA_SUCCESS) {
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fprintf(stderr, "Copying results from device to host memory failed.\n");
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exit(-1);
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}
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}
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void polly_synchronizeDevice() {
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dump_function();
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if (CuCtxSynchronizeFcnPtr() != CUDA_SUCCESS) {
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fprintf(stderr, "Synchronizing device and host memory failed.\n");
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exit(-1);
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}
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}
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void polly_launchKernel(PollyGPUFunction *Kernel, unsigned int GridDimX,
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unsigned int GridDimY, unsigned int BlockDimX,
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unsigned int BlockDimY, unsigned int BlockDimZ,
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void **Parameters) {
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dump_function();
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unsigned GridDimZ = 1;
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unsigned int SharedMemBytes = CU_SHARED_MEM_CONFIG_DEFAULT_BANK_SIZE;
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CUstream Stream = 0;
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void **Extra = 0;
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CUresult Res;
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Res = CuLaunchKernelFcnPtr(Kernel->Cuda, GridDimX, GridDimY, GridDimZ,
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BlockDimX, BlockDimY, BlockDimZ, SharedMemBytes,
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Stream, Parameters, Extra);
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if (Res != CUDA_SUCCESS) {
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fprintf(stderr, "Launching CUDA kernel failed.\n");
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exit(-1);
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}
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}
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void polly_freeDeviceMemory(PollyGPUDevicePtr *Allocation) {
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dump_function();
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CuMemFreeFcnPtr((CUdeviceptr)Allocation->Cuda);
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free(Allocation);
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}
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PollyGPUDevicePtr *polly_allocateMemoryForDevice(long MemSize) {
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dump_function();
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PollyGPUDevicePtr *DevData = malloc(sizeof(PollyGPUDevicePtr));
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if (DevData == 0) {
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fprintf(stderr, "Allocate memory for GPU device memory pointer failed.\n");
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exit(-1);
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}
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CUresult Res = CuMemAllocFcnPtr(&(DevData->Cuda), MemSize);
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if (Res != CUDA_SUCCESS) {
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fprintf(stderr, "Allocate memory for GPU device memory pointer failed.\n");
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exit(-1);
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}
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return DevData;
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}
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void *polly_getDevicePtr(PollyGPUDevicePtr *Allocation) {
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dump_function();
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return (void *)Allocation->Cuda;
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}
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void polly_freeContext(PollyGPUContext *Context) {
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dump_function();
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|
|
if (CacheMode)
|
|
return;
|
|
|
|
if (Context->Cuda) {
|
|
CuCtxDestroyFcnPtr(Context->Cuda);
|
|
free(Context);
|
|
}
|
|
|
|
dlclose(HandleCuda);
|
|
dlclose(HandleCudaRT);
|
|
}
|