jianmu
/
lammps
forked from lijiext/lammps
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity
lammps/lib/gpu/geryon/ocl_device.h

638 lines
23 KiB
C++
Raw Blame History

/***************************************************************************
ocl_device.h
-------------------
W. Michael Brown
Utilities for dealing with OpenCL devices
__________________________________________________________________________
This file is part of the Geryon Unified Coprocessor Library (UCL)
__________________________________________________________________________
begin : Mon Dec 23 2009
copyright : (C) 2009 by W. Michael Brown
email : brownw@ornl.gov
***************************************************************************/
/* -----------------------------------------------------------------------
Copyright (2009) Sandia Corporation. Under the terms of Contract
DE-AC04-94AL85000 with Sandia Corporation, the U.S. Government retains
certain rights in this software. This software is distributed under
the Simplified BSD License.
----------------------------------------------------------------------- */
#ifndef OCL_DEVICE
#define OCL_DEVICE
#include <string>
#include <vector>
#include <iostream>
#ifdef __APPLE__
#include <OpenCL/cl.h>
#include <OpenCL/cl_platform.h>
#else
#include <CL/cl.h>
#include <CL/cl_platform.h>
#endif
#include "ocl_macros.h"
#include "ucl_types.h"
namespace ucl_opencl {
// --------------------------------------------------------------------------
// - COMMAND QUEUE STUFF
// --------------------------------------------------------------------------
typedef cl_command_queue command_queue;
typedef cl_context context_type;
inline void ucl_sync(cl_command_queue &cq) {
CL_SAFE_CALL(clFinish(cq));
}
inline bool _shared_mem_device(cl_device_type &device_type) {
return (device_type==CL_DEVICE_TYPE_CPU);
}
struct OCLProperties {
std::string name;
cl_device_type device_type;
cl_ulong global_mem;
cl_ulong shared_mem;
cl_ulong const_mem;
cl_uint compute_units;
cl_uint clock;
size_t work_group_size;
size_t work_item_size[3];
bool double_precision;
int alignment;
size_t timer_resolution;
bool ecc_support;
std::string c_version;
bool partition_equal, partition_counts, partition_affinity;
cl_uint max_sub_devices;
};
/// Class for looking at data parallel device properties
/** \note Calls to change the device outside of the class results in incorrect
* behavior
* \note There is no error checking for indexing past the number of devices **/
class UCL_Device {
public:
/// Collect properties for every device on the node
/** \note You must set the active GPU with set() before using the device **/
inline UCL_Device();
inline ~UCL_Device();
/// Return the number of platforms (0 if error or no platforms)
inline int num_platforms() { return _num_platforms; }
/// Return a string with name and info of the current platform
inline std::string platform_name();
/// Delete any contexts/data and set the platform number to be used
inline int set_platform(const int pid);
/// Return the number of devices that support OpenCL
inline int num_devices() { return _num_devices; }
/// Set the OpenCL device to the specified device number
/** A context and default command queue will be created for the device *
* Returns UCL_SUCCESS if successful or UCL_ERROR if the device could not
* be allocated for use. clear() is called to delete any contexts and
* associated data from previous calls to set(). **/
inline int set(int num);
/// Delete any context and associated data stored from a call to set()
inline void clear();
/// Get the current device number
inline int device_num() { return _device; }
/// Returns the context for the current device
inline cl_context & context() { return _context; }
/// Returns the default stream for the current device
inline command_queue & cq() { return cq(_default_cq); }
/// Returns the stream indexed by i
inline command_queue & cq(const int i) { return _cq[i]; }
/// Set the default command queue
/** \param i index of the command queue (as added by push_command_queue())
If i is 0, the command queue created with device initialization is
used **/
inline void set_command_queue(const int i) { _default_cq=i; }
/// Block until all commands in the default stream have completed
inline void sync() { sync(_default_cq); }
/// Block until all commands in the specified stream have completed
inline void sync(const int i) { ucl_sync(cq(i)); }
/// Get the number of command queues currently available on device
inline int num_queues()
{ return _cq.size(); }
/// Add a command queue for device computations (with profiling enabled)
inline void push_command_queue() {
cl_int errorv;
_cq.push_back(cl_command_queue());
#ifdef CL_VERSION_2_0
cl_queue_properties props[] = {CL_QUEUE_PROPERTIES, CL_QUEUE_PROFILING_ENABLE, 0};
_cq.back()=clCreateCommandQueueWithProperties(_context, _cl_device, props, &errorv);
#else
_cq.back()=clCreateCommandQueue(_context, _cl_device, CL_QUEUE_PROFILING_ENABLE, &errorv);
#endif
if (errorv!=CL_SUCCESS) {
std::cerr << "Could not create command queue on device: " << name()
<< std::endl;
UCL_GERYON_EXIT;
}
}
/// Remove a stream for device computations
/** \note You cannot delete the default stream **/
inline void pop_command_queue() {
if (_cq.size()<2) return;
CL_SAFE_CALL(clReleaseCommandQueue(_cq.back()));
_cq.pop_back();
}
/// Get the current OpenCL device name
inline std::string name() { return name(_device); }
/// Get the OpenCL device name
inline std::string name(const int i) {
return std::string(_properties[i].name); }
/// Get a string telling the type of the current device
inline std::string device_type_name() { return device_type_name(_device); }
/// Get a string telling the type of the device
inline std::string device_type_name(const int i);
/// Get current device type (UCL_CPU, UCL_GPU, UCL_ACCELERATOR, UCL_DEFAULT)
inline int device_type() { return device_type(_device); }
/// Get device type (UCL_CPU, UCL_GPU, UCL_ACCELERATOR, UCL_DEFAULT)
inline int device_type(const int i);
/// Returns true if host memory is efficiently addressable from device
inline bool shared_memory() { return shared_memory(_device); }
/// Returns true if host memory is efficiently addressable from device
inline bool shared_memory(const int i)
{ return _shared_mem_device(_properties[i].device_type); }
/// Returns true if double precision is support for the current device
inline bool double_precision() { return double_precision(_device); }
/// Returns true if double precision is support for the device
inline bool double_precision(const int i)
{return _properties[i].double_precision;}
/// Get the number of compute units on the current device
inline unsigned cus() { return cus(_device); }
/// Get the number of compute units
inline unsigned cus(const int i)
{ return _properties[i].compute_units; }
/// Get the gigabytes of global memory in the current device
inline double gigabytes() { return gigabytes(_device); }
/// Get the gigabytes of global memory
inline double gigabytes(const int i)
{ return static_cast<double>(_properties[i].global_mem)/1073741824; }
/// Get the bytes of global memory in the current device
inline size_t bytes() { return bytes(_device); }
/// Get the bytes of global memory
inline size_t bytes(const int i) { return _properties[i].global_mem; }
/// Return the GPGPU revision number for current device
//inline double revision() { return revision(_device); }
/// Return the GPGPU revision number
//inline double revision(const int i)
// { return //static_cast<double>(_properties[i].minor)/10+_properties[i].major;}
/// Clock rate in GHz for current device
inline double clock_rate() { return clock_rate(_device); }
/// Clock rate in GHz
inline double clock_rate(const int i) { return _properties[i].clock*1e-3;}
/// Return the address alignment in bytes
inline int alignment() { return alignment(_device); }
/// Return the address alignment in bytes
inline int alignment(const int i) { return _properties[i].alignment; }
/// Return the timer resolution
inline size_t timer_resolution() { return timer_resolution(_device); }
/// Return the timer resolution
inline size_t timer_resolution(const int i)
{ return _properties[i].timer_resolution; }
/// Get the maximum number of threads per block
inline size_t group_size() { return group_size(_device); }
/// Get the maximum number of threads per block
inline size_t group_size(const int i)
{ return _properties[i].work_group_size; }
/// Return the maximum memory pitch in bytes for current device
inline size_t max_pitch() { return max_pitch(_device); }
/// Return the maximum memory pitch in bytes
inline size_t max_pitch(const int i) { return 0; }
/// Returns false if accelerator cannot be shared by multiple processes
/** If it cannot be determined, true is returned **/
inline bool sharing_supported() { return sharing_supported(_device); }
/// Returns false if accelerator cannot be shared by multiple processes
/** If it cannot be determined, true is returned **/
inline bool sharing_supported(const int i)
{ return true; }
/// True if splitting device into equal subdevices supported
inline bool fission_equal()
{ return fission_equal(_device); }
/// True if splitting device into equal subdevices supported
inline bool fission_equal(const int i)
{ return _properties[i].partition_equal; }
/// True if splitting device into subdevices by specified counts supported
inline bool fission_by_counts()
{ return fission_by_counts(_device); }
/// True if splitting device into subdevices by specified counts supported
inline bool fission_by_counts(const int i)
{ return _properties[i].partition_counts; }
/// True if splitting device into subdevices by affinity domains supported
inline bool fission_by_affinity()
{ return fission_by_affinity(_device); }
/// True if splitting device into subdevices by affinity domains supported
inline bool fission_by_affinity(const int i)
{ return _properties[i].partition_affinity; }
/// Maximum number of subdevices allowed from device fission
inline int max_sub_devices()
{ return max_sub_devices(_device); }
/// Maximum number of subdevices allowed from device fission
inline int max_sub_devices(const int i)
{ return _properties[i].max_sub_devices; }
/// List all devices along with all properties
inline void print_all(std::ostream &out);
/// Return the OpenCL type for the device
inline cl_device_id & cl_device() { return _cl_device; }
/// Select the platform that has accelerators
inline int set_platform_accelerator(int pid=-1);
private:
int _num_platforms; // Number of platforms
int _platform; // UCL_Device ID for current platform
cl_platform_id _cl_platform; // OpenCL ID for current platform
cl_platform_id _cl_platforms[20]; // OpenCL IDs for all platforms
cl_context _context; // Context used for accessing the device
std::vector<cl_command_queue> _cq;// The default command queue for this device
int _device; // UCL_Device ID for current device
cl_device_id _cl_device; // OpenCL ID for current device
std::vector<cl_device_id> _cl_devices; // OpenCL IDs for all devices
int _num_devices; // Number of devices
std::vector<OCLProperties> _properties; // Properties for each device
inline void add_properties(cl_device_id);
inline int create_context();
int _default_cq;
};
// Grabs the properties for all devices
UCL_Device::UCL_Device() {
_device=-1;
// --- Get Number of Platforms
cl_uint nplatforms;
cl_int errorv=clGetPlatformIDs(20,_cl_platforms,&nplatforms);
if (errorv!=CL_SUCCESS) {
_num_platforms=0;
return;
} else
_num_platforms=static_cast<int>(nplatforms);
// note that platform 0 may not necessarily be associated with accelerators
set_platform_accelerator();
}
UCL_Device::~UCL_Device() {
clear();
}
void UCL_Device::clear() {
_properties.clear();
_cl_devices.clear();
if (_device>-1) {
for (size_t i=0; i<_cq.size(); i++) {
CL_DESTRUCT_CALL(clReleaseCommandQueue(_cq.back()));
_cq.pop_back();
}
CL_DESTRUCT_CALL(clReleaseContext(_context));
}
_device=-1;
}
int UCL_Device::set_platform(int pid) {
clear();
cl_int errorv;
_cl_device=0;
_device=-1;
_num_devices=0;
_default_cq=0;
#ifdef UCL_DEBUG
assert(pid<num_platforms());
#endif
_platform=pid;
_cl_platform=_cl_platforms[_platform];
// --- Get Number of Devices
cl_uint n;
errorv=clGetDeviceIDs(_cl_platform,CL_DEVICE_TYPE_ALL,0,NULL,&n);
_num_devices=n;
if (errorv!=CL_SUCCESS || _num_devices==0) {
_num_devices=0;
return UCL_ERROR;
}
cl_device_id *device_list = new cl_device_id[_num_devices];
CL_SAFE_CALL(clGetDeviceIDs(_cl_platform,CL_DEVICE_TYPE_ALL,n,device_list,
&n));
// --- Store properties for each device
for (int i=0; i<_num_devices; i++) {
_cl_devices.push_back(device_list[i]);
add_properties(device_list[i]);
}
delete[] device_list;
return UCL_SUCCESS;
}
int UCL_Device::create_context() {
cl_int errorv;
cl_context_properties props[3];
props[0]=CL_CONTEXT_PLATFORM;
props[1]=_platform;
props[2]=0;
_context=clCreateContext(0,1,&_cl_device,NULL,NULL,&errorv);
if (errorv!=CL_SUCCESS) {
#ifndef UCL_NO_EXIT
std::cerr << "UCL Error: Could not access accelerator number " << _device
<< " for use.\n";
UCL_GERYON_EXIT;
#endif
return UCL_ERROR;
}
push_command_queue();
_default_cq=0;
return UCL_SUCCESS;
}
void UCL_Device::add_properties(cl_device_id device_list) {
OCLProperties op;
char buffer[1024];
cl_bool ans_bool;
CL_SAFE_CALL(clGetDeviceInfo(device_list,CL_DEVICE_NAME,1024,buffer,NULL));
op.name=buffer;
CL_SAFE_CALL(clGetDeviceInfo(device_list,CL_DEVICE_GLOBAL_MEM_SIZE,
sizeof(op.global_mem),&op.global_mem,NULL));
CL_SAFE_CALL(clGetDeviceInfo(device_list,CL_DEVICE_LOCAL_MEM_SIZE,
sizeof(op.shared_mem),&op.shared_mem,NULL));
CL_SAFE_CALL(clGetDeviceInfo(device_list,CL_DEVICE_MAX_CONSTANT_BUFFER_SIZE,
sizeof(op.const_mem),&op.const_mem,NULL));
CL_SAFE_CALL(clGetDeviceInfo(device_list,CL_DEVICE_TYPE,
sizeof(op.device_type),&op.device_type,NULL));
CL_SAFE_CALL(clGetDeviceInfo(device_list,CL_DEVICE_MAX_COMPUTE_UNITS,
sizeof(op.compute_units),&op.compute_units,
NULL));
CL_SAFE_CALL(clGetDeviceInfo(device_list,CL_DEVICE_MAX_CLOCK_FREQUENCY,
sizeof(op.clock),&op.clock,NULL));
CL_SAFE_CALL(clGetDeviceInfo(device_list,CL_DEVICE_MAX_WORK_GROUP_SIZE,
sizeof(op.work_group_size),&op.work_group_size,
NULL));
CL_SAFE_CALL(clGetDeviceInfo(device_list,CL_DEVICE_MAX_WORK_ITEM_SIZES,
3*sizeof(op.work_item_size[0]),op.work_item_size,
NULL));
CL_SAFE_CALL(clGetDeviceInfo(device_list,CL_DEVICE_MEM_BASE_ADDR_ALIGN,
sizeof(cl_uint),&op.alignment,NULL));
op.alignment/=8;
// Determine if double precision is supported
cl_uint double_width;
CL_SAFE_CALL(clGetDeviceInfo(device_list,
CL_DEVICE_PREFERRED_VECTOR_WIDTH_DOUBLE,
sizeof(double_width),&double_width,NULL));
if (double_width==0)
op.double_precision=false;
else
op.double_precision=true;
CL_SAFE_CALL(clGetDeviceInfo(device_list,
CL_DEVICE_PROFILING_TIMER_RESOLUTION,
sizeof(size_t),&op.timer_resolution,NULL));
op.ecc_support=false;
CL_SAFE_CALL(clGetDeviceInfo(device_list,
CL_DEVICE_ERROR_CORRECTION_SUPPORT,
sizeof(ans_bool),&ans_bool,NULL));
if (ans_bool==CL_TRUE)
op.ecc_support=true;
op.c_version="";
op.partition_equal=false;
op.partition_counts=false;
op.partition_affinity=false;
#ifdef CL_VERSION_1_2
size_t return_bytes;
CL_SAFE_CALL(clGetDeviceInfo(device_list,CL_DEVICE_OPENCL_C_VERSION,1024,
buffer,NULL));
op.c_version=buffer;
cl_device_partition_property pinfo[4];
CL_SAFE_CALL(clGetDeviceInfo(device_list,
CL_DEVICE_PARTITION_PROPERTIES,
4*sizeof(cl_device_partition_property),
pinfo,&return_bytes));
int nprops=return_bytes/sizeof(cl_device_partition_property);
for (int i=0; i<nprops; i++) {
if (pinfo[i]==CL_DEVICE_PARTITION_EQUALLY)
op.partition_equal=true;
else if (pinfo[i]==CL_DEVICE_PARTITION_BY_COUNTS)
op.partition_counts=true;
else if (pinfo[i]==CL_DEVICE_PARTITION_BY_AFFINITY_DOMAIN)
op.partition_affinity=true;
}
CL_SAFE_CALL(clGetDeviceInfo(device_list,
CL_DEVICE_PARTITION_MAX_SUB_DEVICES,
sizeof(cl_uint),&op.max_sub_devices,NULL));
#endif
_properties.push_back(op);
}
std::string UCL_Device::platform_name() {
char info[1024];
CL_SAFE_CALL(clGetPlatformInfo(_cl_platform,CL_PLATFORM_VENDOR,1024,info,
NULL));
std::string ans=std::string(info)+' ';
CL_SAFE_CALL(clGetPlatformInfo(_cl_platform,CL_PLATFORM_NAME,1024,info,
NULL));
ans+=std::string(info)+' ';
CL_SAFE_CALL(clGetPlatformInfo(_cl_platform,CL_PLATFORM_VERSION,1024,info,
NULL));
ans+=std::string(info);
return ans;
}
// Get a string telling the type of the device
std::string UCL_Device::device_type_name(const int i) {
if (_properties[i].device_type==CL_DEVICE_TYPE_CPU)
return "CPU";
else if (_properties[i].device_type==CL_DEVICE_TYPE_GPU)
return "GPU";
else if (_properties[i].device_type==CL_DEVICE_TYPE_ACCELERATOR)
return "ACCELERATOR";
else
return "DEFAULT";
}
// Get a string telling the type of the device
int UCL_Device::device_type(const int i) {
if (_properties[i].device_type==CL_DEVICE_TYPE_CPU)
return UCL_CPU;
else if (_properties[i].device_type==CL_DEVICE_TYPE_GPU)
return UCL_GPU;
else if (_properties[i].device_type==CL_DEVICE_TYPE_ACCELERATOR)
return UCL_ACCELERATOR;
else
return UCL_DEFAULT;
}
// Set the CUDA device to the specified device number
int UCL_Device::set(int num) {
cl_device_id *device_list = new cl_device_id[_num_devices];
cl_uint n;
CL_SAFE_CALL(clGetDeviceIDs(_cl_platform,CL_DEVICE_TYPE_ALL,_num_devices,
device_list,&n));
_device=num;
_cl_device=device_list[_device];
delete[] device_list;
return create_context();
}
// List all devices from all platforms along with all properties
void UCL_Device::print_all(std::ostream &out) {
// --- loop through the platforms
for (int n=0; n<_num_platforms; n++) {
set_platform(n);
out << "\nPlatform " << n << ":\n";
if (num_devices() == 0)
out << "There is no device supporting OpenCL\n";
for (int i=0; i<num_devices(); ++i) {
out << "\nDevice " << i << ": \"" << name(i).c_str() << "\"\n";
out << " Type of device: "
<< device_type_name(i).c_str() << std::endl;
out << " Double precision support: ";
if (double_precision(i))
out << "Yes\n";
else
out << "No\n";
out << " Total amount of global memory: "
<< gigabytes(i) << " GB\n";
out << " Number of compute units/multiprocessors: "
<< _properties[i].compute_units << std::endl;
//out << " Number of cores: "
// << cores(i) << std::endl;
out << " Total amount of constant memory: "
<< _properties[i].const_mem << " bytes\n";
out << " Total amount of local/shared memory per block: "
<< _properties[i].shared_mem << " bytes\n";
//out << " Total number of registers available per block: "
// << _properties[i].regsPerBlock << std::endl;
//out << " Warp size: "
// << _properties[i].warpSize << std::endl;
out << " Maximum group size (# of threads per block) "
<< _properties[i].work_group_size << std::endl;
out << " Maximum item sizes (# threads for each dim) "
<< _properties[i].work_item_size[0] << " x "
<< _properties[i].work_item_size[1] << " x "
<< _properties[i].work_item_size[2] << std::endl;
//out << " Maximum sizes of each dimension of a grid: "
// << _properties[i].maxGridSize[0] << " x "
// << _properties[i].maxGridSize[1] << " x "
// << _properties[i].maxGridSize[2] << std::endl;
//out << " Maximum memory pitch: "
// << _properties[i].memPitch) << " bytes\n";
//out << " Texture alignment: "
// << _properties[i].textureAlignment << " bytes\n";
out << " Clock rate: "
<< clock_rate(i) << " GHz\n";
//out << " Concurrent copy and execution: ";
out << " ECC support: ";
if (_properties[i].ecc_support)
out << "Yes\n";
else
out << "No\n";
out << " Device fission into equal partitions: ";
if (fission_equal(i))
out << "Yes\n";
else
out << "No\n";
out << " Device fission by counts: ";
if (fission_by_counts(i))
out << "Yes\n";
else
out << "No\n";
out << " Device fission by affinity: ";
if (fission_by_affinity(i))
out << "Yes\n";
else
out << "No\n";
out << " Maximum subdevices from fission: "
<< max_sub_devices(i) << std::endl;
}
}
}
// Select the platform that is associated with accelerators
// if pid < 0, select the first platform
int UCL_Device::set_platform_accelerator(int pid) {
if (pid < 0) {
int found = 0;
for (int n=0; n<_num_platforms; n++) {
set_platform(n);
for (int i=0; i<num_devices(); i++) {
if (_properties[i].device_type==CL_DEVICE_TYPE_CPU ||
_properties[i].device_type==CL_DEVICE_TYPE_GPU ||
_properties[i].device_type==CL_DEVICE_TYPE_ACCELERATOR) {
found = 1;
break;
}
}
if (found) return UCL_SUCCESS;
}
return UCL_ERROR;
} else {
return set_platform(pid);
}
}
} // namespace ucl_opencl
#endif
Reference in New Issue View Git Blame Copy Permalink