MultiGPUBandwidthTest/OpenCLHelper.cpp at master · AMDComputeLibraries/MultiGPUBandwidthTest · GitHub

Repository navigation

History

315 lines (268 loc) · 10.8 KB

Raw

100

101

102

103

104

105

106

107

108

109

110

111

112

113

114

115

116

117

118

119

120

121

122

123

124

125

126

127

128

129

130

131

132

133

134

135

136

137

138

139

140

141

142

143

144

145

146

147

148

149

150

151

152

153

154

155

156

157

158

159

160

161

162

163

164

165

166

167

168

169

170

171

172

173

174

175

176

177

178

179

180

181

182

183

184

185

186

187

188

189

190

191

192

193

194

195

196

197

198

199

200

201

202

203

204

205

206

207

208

209

210

211

212

213

214

215

216

217

218

219

220

221

222

223

224

225

226

227

228

229

230

231

232

233

234

235

236

237

238

239

240

241

242

243

244

245

246

247

248

249

250

251

252

253

254

255

256

257

258

259

260

261

262

263

264

265

266

267

268

269

270

271

272

273

274

275

276

277

278

279

280

281

282

283

284

285

286

287

288

289

290

291

292

293

294

295

296

297

298

299

300

301

302

303

304

305

306

307

308

309

310

311

312

313

314

315

Redistribution and use in source and binary forms, with or without modification,

are permitted provided that the following are met:

You must reproduce the above copyright notice.

Neither the name of the copyright holder nor the names of its contributors may

be used to endorse or promote products derived from this software without

specific, prior, written permission from at least the copyright holder.

You must include the following terms in your license and/or other materials

provided with the software.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"

AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE

IMPLIED WARRANTIES OF MERCHANTABILITY, NON-INFRINGEMENT, AND FITNESS FOR A

PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR

CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,

EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,

PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;

OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,

WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR

OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF

ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

Without limiting the foregoing, the software may implement third party

technologies for which you must obtain licenses from parties other than AMD.

You agree that AMD has not obtained or conveyed to you, and that you shall be

responsible for obtaining the rights to use and/or distribute the applicable

underlying intellectual property rights related to the third party

technologies. These third party technologies are not licensed hereunder.

If you use the software (in whole or in part), you shall adhere to all

applicable U.S., European, and other export laws, including but not limited to

the U.S. Export Administration Regulations (EAR) (15 C.F.R Sections

730-774), and E.U. Council Regulation (EC) No 428/2009 of 5 May 2009. Further,

pursuant to Section 740.6 of the EAR, you hereby certify that, except pursuant

to a license granted by the United States Department of Commerce Bureau of

Industry and Security or as otherwise permitted pursuant to a License Exception

under the U.S. Export Administration Regulations ("EAR"), you will not (1)

export, re-export or release to a national of a country in Country Groups D:1,

E:1 or E:2 any restricted technology, software, or source code you receive

hereunder, or (2) export to Country Groups D:1, E:1 or E:2 the direct product

of such technology or software, if such foreign produced direct product is

subject to national security controls as identified on the Commerce Control

List (currently found in Supplement 1 to Part 774 of EAR). For the most

current Country Group listings, or for additional information about the EAR

or your obligations under those regulations, please refer to the U.S. Bureau

of Industry and Securitys website at http://www.bis.doc.gov/.

#include "OpenCLHelper.h"

#include <cstring>

#include <string>

#include <iostream>

cl_context CLHelper::context = NULL;

cl_command_queue* CLHelper::commandQueue = NULL;

void convertToStr(char **source, size_t* sourceSize, const std::string fname)

{

FILE *fp = fopen(fname.c_str(), "r");

fseek(fp, 0, SEEK_END);

*sourceSize = ftell(fp);

fseek(fp , 0, SEEK_SET);

*source = (char *)malloc(*sourceSize * sizeof(char));

fread(*source, 1, *sourceSize, fp);

fclose(fp);

}

int CLHelper::Init(const std::string &filename,

InputFlags &in_flags,

std::vector<int> gpu_list)

{

cl_int status = 0;

size_t deviceListSize;

unsigned int i;

* Have a look at the available platforms and pick either

* the AMD one if available or a reasonable default.

cl_uint numPlatforms;

platform = NULL;

status = clGetPlatformIDs(0, NULL, &numPlatforms);

if(status != CL_SUCCESS)

{

fprintf(stderr,"clGetPlatformIDs failed. %u",numPlatforms);

return 1;

}

if (0 < numPlatforms)

{

cl_platform_id* platforms = (cl_platform_id*)malloc(numPlatforms * sizeof(cl_platform_id));

status = clGetPlatformIDs(numPlatforms, platforms, NULL);

if(status != CL_SUCCESS)

{

perror( "clGetPlatformIDs failed.2");

return 1;

}

for (i = 0; i < numPlatforms; ++i)

{

char pbuf[100];

status = clGetPlatformInfo(platforms[i], CL_PLATFORM_VENDOR, sizeof(pbuf), pbuf, NULL);

if(status != CL_SUCCESS)

{

perror("clGetPlatformInfo failed.");

return 1;

}

platform = platforms[i];

if (!strcmp(pbuf, "Advanced Micro Devices, Inc."))

{

break;

}

free(platforms);

}

/////////////////////////////////////////////////////////////////

// Create an OpenCL context

/////////////////////////////////////////////////////////////////

cl_context_properties cps[3] = { CL_CONTEXT_PLATFORM, (cl_context_properties)platform, 0 };

cl_context_properties* cprops = (NULL == platform) ? NULL : cps;

context = clCreateContextFromType(cprops, CL_DEVICE_TYPE_GPU, NULL, NULL, &status);

if(status != CL_SUCCESS)

{

printf("status: %d", status);

perror("Error: Creating Context. (clCreateContextFromType)");

return 1;

}

/* First, get the size of device list data */

status = clGetContextInfo(context, CL_CONTEXT_NUM_DEVICES, sizeof(size_t), &deviceListSize, NULL);

if(status != CL_SUCCESS)

{

perror("Error: Getting Context Info (device list size, clGetContextInfo)");

return 1;

}

/////////////////////////////////////////////////////////////////

// Detect OpenCL devices

/////////////////////////////////////////////////////////////////

devices = (cl_device_id *)malloc(deviceListSize * sizeof(cl_device_id));

if(devices == 0)

{

perror("Error: No devices found.");

return 1;

}

/* Now, get the device list data */

status = clGetContextInfo( context, CL_CONTEXT_DEVICES, deviceListSize*sizeof(cl_device_id), devices, NULL);

if(status != CL_SUCCESS)

{

perror("Error: Getting Context Info (device list, clGetContextInfo)");

return 1;

}

int nGPUs = gpu_list.size();

if(nGPUs > deviceListSize) {

printf("Requested number of GPUs are not available ! \n");

exit(1);

}

char deviceName[100];

for(int i = 0; i < nGPUs; i++) {

clGetDeviceInfo(devices[gpu_list[i]], CL_DEVICE_NAME, sizeof(deviceName), deviceName, NULL);

cl_device_topology_amd devid;

clGetDeviceInfo(devices[gpu_list[i]], CL_DEVICE_TOPOLOGY_AMD, sizeof(devid), &devid, NULL);

printf("GPU: %d Name: %s PCIe: %d\n", i, deviceName, (int)devid.pcie.bus);

}

/////////////////////////////////////////////////////////////////

// Create an OpenCL command queue

/////////////////////////////////////////////////////////////////

commandQueue = new cl_command_queue[nGPUs];

for(int i = 0 ; i < nGPUs; i++) {

commandQueue[i] = clCreateCommandQueue(context, devices[gpu_list[i]], CL_QUEUE_PROFILING_ENABLE, &status);

if(status != CL_SUCCESS)

{

perror("Creating Command Queue. (clCreateCommandQueue) !");

return 1;

}

if(! filename.empty()) {

/////////////////////////////////////////////////////////////////

// Load CL file, build CL program object, create CL kernel object

/////////////////////////////////////////////////////////////////

char* source;

size_t sourceSize;

convertToStr(&source, &sourceSize, filename);

//printf("Kernel %s\n", source);

program = clCreateProgramWithSource(context, 1, (const char**)&source, &sourceSize, &status);

if(status != CL_SUCCESS)

{

perror("Error: Loading Binary into cl_program (clCreateProgramWithBinary)");

return 1;

}

std::string buildFlags = "-x clc++ -Dcl_khr_int64_base_atomics=1";

// buildFlags += " -DROWBITS=" + std::to_string(ROW_BITS);

// buildFlags += " -DWGBITS=" + std::to_string(WG_BITS);

// buildFlags += " -DBLOCKSIZE=" + std::to_string(in_flags.GetValueInt("blocksize"));

// buildFlags += " -DBLOCK_MULTIPLIER=" + std::to_string(in_flags.GetValueInt("blocksize_multiplier"));

// buildFlags += " -DROWS_VECTOR=" + std::to_string(in_flags.GetValueInt("rows_vector"));

#ifdef DOUBLE

buildFlags += " -DDOUBLE";

#endif

/* create a cl program executable for all the devices specified */

status = clBuildProgram(program, deviceListSize, devices, buildFlags.c_str(), NULL, NULL);

if(status != CL_SUCCESS)

{

printf("Error: Building Program (clBuildProgram): %d", status);

char * errorbuf = (char*)calloc(sizeof(char),1024*1024);

size_t size;

clGetProgramBuildInfo(program, devices[0], CL_PROGRAM_BUILD_LOG, 1024*1024, errorbuf, &size);

printf("%s ", errorbuf);

return 1;

}

// All good

return 0;

}

void CLHelper::clCheckStatus(cl_int status, const std::string errString)

{

if (status != CL_SUCCESS)

{

std::cout<<status<<", "<<errString<<"\n";

exit(-1);

}

cl_mem CLHelper::AllocateMem(const std::string name,

size_t size,

cl_mem_flags flags,

void *hostBuffer)

{

cl_mem buf;

cl_int status;

buf = clCreateBuffer(context, flags, size, hostBuffer, &status);

std::string errString = "OpenCL error allocating " + name + " !";

clCheckStatus(status, errString);

return buf;

}

void* CLHelper::MapMem(const std::string name,

size_t size,

cl_map_flags flags,

int num_gpu,

cl_mem devBuffer)

{

void* buf;

cl_int status;

buf = clEnqueueMapBuffer(commandQueue[num_gpu], devBuffer, CL_TRUE, flags, 0, size, 0, NULL, NULL, &status);

std::string errString = "OpenCL error mapping " + name + " !";

clCheckStatus(status, errString);

return buf;

}

void CLHelper::CopyToDevice(cl_mem devBuffer,

void *hostBuffer,

size_t size,

size_t offset,

cl_bool blocking,

int num_gpu,

cl_event *ev)

{

cl_int status;

status = clEnqueueWriteBuffer(commandQueue[num_gpu], devBuffer, blocking, offset, size, hostBuffer, 0, NULL, ev);

clCheckStatus(status, "OpenCL error copying data to device !");

}

void CLHelper::CopyToHost(cl_mem devBuffer,

void *hostBuffer,

size_t size,

size_t offset,

cl_bool blocking,

int num_gpu,

cl_event *ev)

{

cl_int status;

status = clEnqueueReadBuffer(commandQueue[num_gpu], devBuffer, blocking, offset, size, hostBuffer, 0, NULL, ev);

clCheckStatus(status, "OpenCL error copying data to device !");

}

int64_t CLHelper::ComputeTime(cl_event event)

{

int64_t start_time, end_time;

clGetEventProfilingInfo(event, CL_PROFILING_COMMAND_START, sizeof(int64_t), &start_time, NULL);

clGetEventProfilingInfo(event, CL_PROFILING_COMMAND_END, sizeof(int64_t), &end_time, NULL);

return end_time - start_time;

}

MultiGPUBandwidthTest/OpenCLHelper.cpp at master · AMDComputeLibraries/MultiGPUBandwidthTest · GitHub

Repository navigation

Expand file tree

Breadcrumbs

OpenCLHelper.cpp

Latest commit

History

Breadcrumbs

OpenCLHelper.cpp

File metadata and controls