| 1 | /* |
| 2 | * ofp_context.hxx |
| 3 | * |
| 4 | * Created on: Nov 15, 2018 |
| 5 | * Author: i-bird |
| 6 | */ |
| 7 | |
| 8 | #ifndef OFP_CONTEXT_HXX_ |
| 9 | #define OFP_CONTEXT_HXX_ |
| 10 | |
| 11 | #include <iostream> |
| 12 | |
| 13 | #ifdef CUDA_ON_CPU |
| 14 | |
| 15 | namespace mgpu |
| 16 | { |
| 17 | enum gpu_context_opt |
| 18 | { |
| 19 | no_print_props,//!< no_print_props |
| 20 | print_props, //!< print_props |
| 21 | dummy //!< dummy |
| 22 | }; |
| 23 | |
| 24 | struct context_t {}; |
| 25 | |
| 26 | class ofp_context_t : public context_t |
| 27 | { |
| 28 | protected: |
| 29 | |
| 30 | std::string _props; |
| 31 | |
| 32 | openfpm::vector<aggregate<unsigned char>> tmem; |
| 33 | |
| 34 | // Making this a template argument means we won't generate an instance |
| 35 | // of dummy_k for each translation unit. |
| 36 | template<int dummy_arg = 0> |
| 37 | void init(int dev_num, gpu_context_opt opt) |
| 38 | {} |
| 39 | |
| 40 | public: |
| 41 | |
| 42 | /*! \brief gpu context constructor |
| 43 | * |
| 44 | * \param opt options for this gpu context |
| 45 | * |
| 46 | */ |
| 47 | ofp_context_t(gpu_context_opt opt = gpu_context_opt::no_print_props , int dev_num = 0, int stream_ = 0) |
| 48 | {} |
| 49 | |
| 50 | ~ofp_context_t() |
| 51 | {} |
| 52 | |
| 53 | virtual const std::string& props() const |
| 54 | { |
| 55 | return _props; |
| 56 | } |
| 57 | |
| 58 | virtual int ptx_version() const |
| 59 | { |
| 60 | return 0; |
| 61 | } |
| 62 | |
| 63 | virtual int stream() |
| 64 | { |
| 65 | std::cout << __FILE__ << ":" << __LINE__ << " Not implemented" << std::endl; |
| 66 | return 0; |
| 67 | } |
| 68 | |
| 69 | // Alloc GPU memory. |
| 70 | virtual void* alloc(size_t size, int space) |
| 71 | { |
| 72 | std::cout << __FILE__ << ":" << __LINE__ << " Not implemented" << std::endl; |
| 73 | return NULL; |
| 74 | } |
| 75 | |
| 76 | virtual void free(void* p, int space) |
| 77 | { |
| 78 | std::cout << __FILE__ << ":" << __LINE__ << " Not implemented" << std::endl; |
| 79 | } |
| 80 | |
| 81 | virtual void synchronize() |
| 82 | { |
| 83 | std::cout << __FILE__ << ":" << __LINE__ << " Not implemented" << std::endl; |
| 84 | } |
| 85 | |
| 86 | virtual int event() |
| 87 | { |
| 88 | std::cout << __FILE__ << ":" << __LINE__ << " Not implemented" << std::endl; |
| 89 | return 0; |
| 90 | } |
| 91 | |
| 92 | virtual void timer_begin() |
| 93 | { |
| 94 | std::cout << __FILE__ << ":" << __LINE__ << " Not implemented" << std::endl; |
| 95 | } |
| 96 | |
| 97 | virtual double timer_end() |
| 98 | { |
| 99 | std::cout << __FILE__ << ":" << __LINE__ << " Not implemented" << std::endl; |
| 100 | return 0.0; |
| 101 | } |
| 102 | |
| 103 | virtual int getDevice() |
| 104 | { |
| 105 | std::cout << __FILE__ << ":" << __LINE__ << " Not implemented" << std::endl; |
| 106 | return 0; |
| 107 | } |
| 108 | }; |
| 109 | |
| 110 | } |
| 111 | |
| 112 | #else |
| 113 | |
| 114 | #ifdef CUDA_GPU |
| 115 | |
| 116 | #ifdef __NVCC__ |
| 117 | |
| 118 | #include "util/cuda/moderngpu/context.hxx" |
| 119 | |
| 120 | namespace mgpu |
| 121 | { |
| 122 | enum gpu_context_opt |
| 123 | { |
| 124 | no_print_props,//!< no_print_props |
| 125 | print_props, //!< print_props |
| 126 | dummy //!< dummy |
| 127 | }; |
| 128 | |
| 129 | |
| 130 | //////////////////////////////////////////////////////////////////////////////// |
| 131 | // standard_context_t is a trivial implementation of context_t. Users can |
| 132 | // derive this type to provide a custom allocator. |
| 133 | |
| 134 | class ofp_context_t : public context_t |
| 135 | { |
| 136 | protected: |
| 137 | cudaDeviceProp _props; |
| 138 | int _ptx_version; |
| 139 | cudaStream_t _stream; |
| 140 | |
| 141 | cudaEvent_t _timer[2]; |
| 142 | cudaEvent_t _event; |
| 143 | |
| 144 | openfpm::vector_gpu<aggregate<unsigned char>> tmem; |
| 145 | openfpm::vector_gpu<aggregate<unsigned char>> tmem2; |
| 146 | openfpm::vector_gpu<aggregate<unsigned char>> tmem3; |
| 147 | |
| 148 | // Making this a template argument means we won't generate an instance |
| 149 | // of dummy_k for each translation unit. |
| 150 | template<int dummy_arg = 0> |
| 151 | void init(int dev_num, gpu_context_opt opt) |
| 152 | { |
| 153 | cudaFuncAttributes attr; |
| 154 | cudaError_t result = cudaFuncGetAttributes(&attr, dummy_k<0>); |
| 155 | if(cudaSuccess != result) throw cuda_exception_t(result); |
| 156 | _ptx_version = attr.ptxVersion; |
| 157 | |
| 158 | int num_dev; |
| 159 | cudaGetDeviceCount(&num_dev); |
| 160 | |
| 161 | if (num_dev == 0) {return;} |
| 162 | |
| 163 | if (opt != gpu_context_opt::dummy) |
| 164 | { |
| 165 | cudaSetDevice(dev_num % num_dev); |
| 166 | } |
| 167 | |
| 168 | int ord; |
| 169 | cudaGetDevice(&ord); |
| 170 | cudaGetDeviceProperties(&_props, ord); |
| 171 | |
| 172 | cudaEventCreate(&_timer[0]); |
| 173 | cudaEventCreate(&_timer[1]); |
| 174 | cudaEventCreate(&_event); |
| 175 | } |
| 176 | |
| 177 | public: |
| 178 | |
| 179 | |
| 180 | /*! \brief gpu context constructor |
| 181 | * |
| 182 | * \param opt options for this gpu context |
| 183 | * |
| 184 | */ |
| 185 | ofp_context_t(gpu_context_opt opt = gpu_context_opt::no_print_props , int dev_num = 0, cudaStream_t stream_ = 0) |
| 186 | :context_t(), _stream(stream_) |
| 187 | { |
| 188 | init(dev_num,opt); |
| 189 | if(opt == gpu_context_opt::print_props) |
| 190 | { |
| 191 | printf("%s\n" , device_prop_string(_props).c_str()); |
| 192 | } |
| 193 | } |
| 194 | |
| 195 | ~ofp_context_t() |
| 196 | { |
| 197 | cudaEventDestroy(_timer[0]); |
| 198 | cudaEventDestroy(_timer[1]); |
| 199 | cudaEventDestroy(_event); |
| 200 | } |
| 201 | |
| 202 | virtual const cudaDeviceProp& props() const { return _props; } |
| 203 | virtual int ptx_version() const { return _ptx_version; } |
| 204 | virtual cudaStream_t stream() { return _stream; } |
| 205 | |
| 206 | // Alloc GPU memory. |
| 207 | virtual void* alloc(size_t size, memory_space_t space) |
| 208 | { |
| 209 | void* p = nullptr; |
| 210 | if(size) |
| 211 | { |
| 212 | cudaError_t result = (memory_space_device == space) ?cudaMalloc(&p, size) : cudaMallocHost(&p, size); |
| 213 | if(cudaSuccess != result) throw cuda_exception_t(result); |
| 214 | } |
| 215 | return p; |
| 216 | } |
| 217 | |
| 218 | virtual void free(void* p, memory_space_t space) |
| 219 | { |
| 220 | if(p) |
| 221 | { |
| 222 | cudaError_t result = (memory_space_device == space) ? cudaFree(p) : cudaFreeHost(p); |
| 223 | if(cudaSuccess != result) throw cuda_exception_t(result); |
| 224 | } |
| 225 | } |
| 226 | |
| 227 | virtual void synchronize() |
| 228 | { |
| 229 | cudaError_t result = _stream ? |
| 230 | cudaStreamSynchronize(_stream) : |
| 231 | cudaDeviceSynchronize(); |
| 232 | if(cudaSuccess != result) throw cuda_exception_t(result); |
| 233 | } |
| 234 | |
| 235 | virtual cudaEvent_t event() |
| 236 | { |
| 237 | return _event; |
| 238 | } |
| 239 | |
| 240 | virtual void timer_begin() |
| 241 | { |
| 242 | cudaEventRecord(_timer[0], _stream); |
| 243 | } |
| 244 | |
| 245 | virtual double timer_end() |
| 246 | { |
| 247 | cudaEventRecord(_timer[1], _stream); |
| 248 | cudaEventSynchronize(_timer[1]); |
| 249 | float ms; |
| 250 | cudaEventElapsedTime(&ms, _timer[0], _timer[1]); |
| 251 | return ms / 1.0e3; |
| 252 | } |
| 253 | |
| 254 | virtual int getDevice() |
| 255 | { |
| 256 | int dev = 0; |
| 257 | |
| 258 | cudaGetDevice(&dev); |
| 259 | |
| 260 | return dev; |
| 261 | } |
| 262 | |
| 263 | virtual int getNDevice() |
| 264 | { |
| 265 | int num_dev; |
| 266 | cudaGetDeviceCount(&num_dev); |
| 267 | |
| 268 | return num_dev; |
| 269 | } |
| 270 | |
| 271 | openfpm::vector_gpu<aggregate<unsigned char>> & getTemporalCUB() |
| 272 | { |
| 273 | return tmem; |
| 274 | } |
| 275 | |
| 276 | openfpm::vector_gpu<aggregate<unsigned char>> & getTemporalCUB2() |
| 277 | { |
| 278 | return tmem2; |
| 279 | } |
| 280 | |
| 281 | openfpm::vector_gpu<aggregate<unsigned char>> & getTemporalCUB3() |
| 282 | { |
| 283 | return tmem3; |
| 284 | } |
| 285 | }; |
| 286 | |
| 287 | } |
| 288 | |
| 289 | #else |
| 290 | |
| 291 | #include "util/cuda/moderngpu/context_reduced.hxx" |
| 292 | |
| 293 | namespace mgpu |
| 294 | { |
| 295 | enum gpu_context_opt |
| 296 | { |
| 297 | no_print_props,//!< no_print_props |
| 298 | print_props, //!< print_props |
| 299 | dummy //!< dummy |
| 300 | }; |
| 301 | |
| 302 | |
| 303 | //////////////////////////////////////////////////////////////////////////////// |
| 304 | // standard_context_t is a trivial implementation of context_t. Users can |
| 305 | // derive this type to provide a custom allocator. |
| 306 | |
| 307 | class ofp_context_t : public context_t |
| 308 | { |
| 309 | protected: |
| 310 | cudaDeviceProp _props; |
| 311 | int _ptx_version; |
| 312 | cudaStream_t _stream; |
| 313 | |
| 314 | cudaEvent_t _timer[2]; |
| 315 | cudaEvent_t _event; |
| 316 | |
| 317 | openfpm::vector<aggregate<unsigned char>> tmem; |
| 318 | |
| 319 | // Making this a template argument means we won't generate an instance |
| 320 | // of dummy_k for each translation unit. |
| 321 | template<int dummy_arg = 0> |
| 322 | void init(int dev_num, gpu_context_opt opt) |
| 323 | { |
| 324 | cudaFuncAttributes attr; |
| 325 | |
| 326 | _ptx_version = 0; |
| 327 | |
| 328 | int num_dev; |
| 329 | cudaGetDeviceCount(&num_dev); |
| 330 | |
| 331 | if (num_dev == 0) {return;} |
| 332 | |
| 333 | if (opt != gpu_context_opt::dummy) |
| 334 | { |
| 335 | cudaSetDevice(dev_num % num_dev); |
| 336 | } |
| 337 | |
| 338 | int ord; |
| 339 | cudaGetDevice(&ord); |
| 340 | cudaGetDeviceProperties(&_props, ord); |
| 341 | |
| 342 | cudaEventCreate(&_timer[0]); |
| 343 | cudaEventCreate(&_timer[1]); |
| 344 | cudaEventCreate(&_event); |
| 345 | } |
| 346 | |
| 347 | public: |
| 348 | |
| 349 | /*! \brief gpu context constructor |
| 350 | * |
| 351 | * \param opt options for this gpu context |
| 352 | * |
| 353 | */ |
| 354 | ofp_context_t(gpu_context_opt opt = gpu_context_opt::no_print_props , int dev_num = 0, cudaStream_t stream_ = 0) |
| 355 | :context_t(), _stream(stream_) |
| 356 | { |
| 357 | init(dev_num,opt); |
| 358 | if(opt == gpu_context_opt::print_props) |
| 359 | { |
| 360 | printf("%s\n" , device_prop_string(_props).c_str()); |
| 361 | } |
| 362 | } |
| 363 | |
| 364 | ~ofp_context_t() |
| 365 | { |
| 366 | cudaEventDestroy(_timer[0]); |
| 367 | cudaEventDestroy(_timer[1]); |
| 368 | cudaEventDestroy(_event); |
| 369 | } |
| 370 | |
| 371 | virtual const cudaDeviceProp& props() const |
| 372 | { |
| 373 | return _props; |
| 374 | } |
| 375 | |
| 376 | virtual int ptx_version() const |
| 377 | { |
| 378 | std::cout << __FILE__ << ":" << __LINE__ << " error to use this function you must compile the class ofp_context_t with NVCC" << std::endl; |
| 379 | return 0; |
| 380 | } |
| 381 | |
| 382 | virtual cudaStream_t stream() { return _stream; } |
| 383 | |
| 384 | // Alloc GPU memory. |
| 385 | virtual void* alloc(size_t size, memory_space_t space) |
| 386 | { |
| 387 | void* p = nullptr; |
| 388 | if(size) |
| 389 | { |
| 390 | cudaError_t result = (memory_space_device == space) ?cudaMalloc(&p, size) : cudaMallocHost(&p, size); |
| 391 | if(cudaSuccess != result) throw cuda_exception_t(result); |
| 392 | } |
| 393 | return p; |
| 394 | } |
| 395 | |
| 396 | virtual void free(void* p, memory_space_t space) |
| 397 | { |
| 398 | if(p) |
| 399 | { |
| 400 | cudaError_t result = (memory_space_device == space) ? cudaFree(p) : cudaFreeHost(p); |
| 401 | if(cudaSuccess != result) throw cuda_exception_t(result); |
| 402 | } |
| 403 | } |
| 404 | |
| 405 | virtual void synchronize() |
| 406 | { |
| 407 | cudaError_t result = _stream ? |
| 408 | cudaStreamSynchronize(_stream) : |
| 409 | cudaDeviceSynchronize(); |
| 410 | if(cudaSuccess != result) throw cuda_exception_t(result); |
| 411 | } |
| 412 | |
| 413 | virtual cudaEvent_t event() |
| 414 | { |
| 415 | return _event; |
| 416 | } |
| 417 | |
| 418 | virtual void timer_begin() |
| 419 | { |
| 420 | cudaEventRecord(_timer[0], _stream); |
| 421 | } |
| 422 | |
| 423 | virtual double timer_end() |
| 424 | { |
| 425 | cudaEventRecord(_timer[1], _stream); |
| 426 | cudaEventSynchronize(_timer[1]); |
| 427 | float ms; |
| 428 | cudaEventElapsedTime(&ms, _timer[0], _timer[1]); |
| 429 | return ms / 1.0e3; |
| 430 | } |
| 431 | |
| 432 | virtual int getDevice() |
| 433 | { |
| 434 | int dev = 0; |
| 435 | |
| 436 | cudaGetDevice(&dev); |
| 437 | |
| 438 | return dev; |
| 439 | } |
| 440 | }; |
| 441 | |
| 442 | } |
| 443 | |
| 444 | #endif |
| 445 | |
| 446 | #else |
| 447 | |
| 448 | namespace mgpu |
| 449 | { |
| 450 | |
| 451 | enum gpu_context_opt |
| 452 | { |
| 453 | no_print_props,//!< no_print_props |
| 454 | print_props, //!< print_props |
| 455 | dummy //!< dummy |
| 456 | }; |
| 457 | |
| 458 | // Stub class for modern gpu |
| 459 | |
| 460 | struct ofp_context_t |
| 461 | { |
| 462 | ofp_context_t(gpu_context_opt opt = gpu_context_opt::no_print_props , int dev_num = 0) |
| 463 | {} |
| 464 | }; |
| 465 | } |
| 466 | |
| 467 | #endif |
| 468 | |
| 469 | #endif |
| 470 | |
| 471 | |
| 472 | #endif /* OFP_CONTEXT_HXX_ */ |
| 473 | |