Actual source code: petscdevice_cuda.h

      1: #pragma once

      3: #include <petscdevice.h>
      4: #include <petscpkg_version.h>

      6: #if defined(__NVCC__) || defined(__CUDACC__)
      7:   #define PETSC_USING_NVCC 1
      8: #endif

     10: #if PetscDefined(HAVE_CUDA)
     11:   #include <cuda.h>
     12:   #include <cuda_runtime.h>
     13:   #include <cublas_v2.h>
     14:   #include <cusolverDn.h>
     15:   #include <cusolverSp.h>
     16:   #include <cufft.h>

     18: /* cuBLAS does not have cublasGetErrorName(). We create one on our own. */
     19: PETSC_EXTERN const char *PetscCUBLASGetErrorName(cublasStatus_t); /* PETSC_EXTERN since it is exposed by the CHKERRCUBLAS macro */
     20: PETSC_EXTERN const char *PetscCUSolverGetErrorName(cusolverStatus_t);
     21: PETSC_EXTERN const char *PetscCUFFTGetErrorName(cufftResult);

     23:   /* REMOVE ME */
     24:   #define WaitForCUDA() cudaDeviceSynchronize()

     26:   /* CUDART_VERSION = 1000 x major + 10 x minor version */

     28:   /* Could not find exactly which CUDART_VERSION introduced cudaGetErrorName. At least it was in CUDA 8.0 (Sep. 2016) */
     29:   #if PETSC_PKG_CUDA_VERSION_GE(8, 0, 0)
     30:     #define PetscCallCUDAVoid(...) \
     31:       do { \
     32:         const cudaError_t _p_cuda_err__ = __VA_ARGS__; \
     33:         PetscCheckAbort(_p_cuda_err__ == cudaSuccess, PETSC_COMM_SELF, PETSC_ERR_GPU, "cuda error %d (%s) : %s", (PetscErrorCode)_p_cuda_err__, cudaGetErrorName(_p_cuda_err__), cudaGetErrorString(_p_cuda_err__)); \
     34:       } while (0)

     36:     #define PetscCallCUDA(...) \
     37:       do { \
     38:         const cudaError_t _p_cuda_err__ = __VA_ARGS__; \
     39:         PetscCheck(_p_cuda_err__ == cudaSuccess, PETSC_COMM_SELF, PETSC_ERR_GPU, "cuda error %d (%s) : %s", (PetscErrorCode)_p_cuda_err__, cudaGetErrorName(_p_cuda_err__), cudaGetErrorString(_p_cuda_err__)); \
     40:       } while (0)
     41:   #else /* PETSC_PKG_CUDA_VERSION_GE(8,0,0) */
     42:     #define PetscCallCUDA(...) \
     43:       do { \
     44:         const cudaError_t _p_cuda_err__ = __VA_ARGS__; \
     45:         PetscCheck(_p_cuda_err__ == cudaSuccess, PETSC_COMM_SELF, PETSC_ERR_GPU, "cuda error %d", (PetscErrorCode)_p_cuda_err__); \
     46:       } while (0)

     48:     #define PetscCallCUDAVoid(...) \
     49:       do { \
     50:         const cudaError_t _p_cuda_err__ = __VA_ARGS__; \
     51:         PetscCheckAbort(_p_cuda_err__ == cudaSuccess, PETSC_COMM_SELF, PETSC_ERR_GPU, "cuda error %d", (PetscErrorCode)_p_cuda_err__); \
     52:       } while (0)
     53:   #endif /* PETSC_PKG_CUDA_VERSION_GE(8,0,0) */
     54:   #define CHKERRCUDA(...) PetscCallCUDA(__VA_ARGS__)

     56:   #define PetscCUDACheckLaunch \
     57:     do { \
     58:       /* Check synchronous errors, i.e. pre-launch */ \
     59:       PetscCallCUDA(cudaGetLastError()); \
     60:       /* Check asynchronous errors, i.e. kernel failed (ULF) */ \
     61:       PetscCallCUDA(cudaDeviceSynchronize()); \
     62:     } while (0)

     64:   #define PetscCallCUBLAS(...) \
     65:     do { \
     66:       const cublasStatus_t _p_cublas_stat__ = __VA_ARGS__; \
     67:       if (PetscUnlikely(_p_cublas_stat__ != CUBLAS_STATUS_SUCCESS)) { \
     68:         const char *name = PetscCUBLASGetErrorName(_p_cublas_stat__); \
     69:         if (((_p_cublas_stat__ == CUBLAS_STATUS_NOT_INITIALIZED) || (_p_cublas_stat__ == CUBLAS_STATUS_ALLOC_FAILED)) && PetscDeviceInitialized(PETSC_DEVICE_CUDA)) { \
     70:           SETERRQ(PETSC_COMM_SELF, PETSC_ERR_GPU_RESOURCE, \
     71:                   "cuBLAS error %d (%s). " \
     72:                   "Reports not initialized or alloc failed; " \
     73:                   "this indicates the GPU may have run out resources", \
     74:                   (PetscErrorCode)_p_cublas_stat__, name); \
     75:         } else { \
     76:           SETERRQ(PETSC_COMM_SELF, PETSC_ERR_GPU, "cuBLAS error %d (%s)", (PetscErrorCode)_p_cublas_stat__, name); \
     77:         } \
     78:       } \
     79:     } while (0)
     80:   #define CHKERRCUBLAS(...) PetscCallCUBLAS(__VA_ARGS__)

     82:   #if (CUSPARSE_VER_MAJOR > 10 || CUSPARSE_VER_MAJOR == 10 && CUSPARSE_VER_MINOR >= 2) /* According to cuda/10.1.168 on OLCF Summit */
     83:     #define PetscCallCUSPARSE(...) \
     84:       do { \
     85:         const cusparseStatus_t _p_cusparse_stat__ = __VA_ARGS__; \
     86:         if (PetscUnlikely(_p_cusparse_stat__)) { \
     87:           const char *name  = cusparseGetErrorName(_p_cusparse_stat__); \
     88:           const char *descr = cusparseGetErrorString(_p_cusparse_stat__); \
     89:           PetscCheck((_p_cusparse_stat__ != CUSPARSE_STATUS_NOT_INITIALIZED) && (_p_cusparse_stat__ != CUSPARSE_STATUS_ALLOC_FAILED), PETSC_COMM_SELF, PETSC_ERR_GPU_RESOURCE, \
     90:                      "cuSPARSE errorcode %d (%s) : %s.; " \
     91:                      "this indicates the GPU has run out resources", \
     92:                      (int)_p_cusparse_stat__, name, descr); \
     93:           SETERRQ(PETSC_COMM_SELF, PETSC_ERR_GPU, "cuSPARSE errorcode %d (%s) : %s", (int)_p_cusparse_stat__, name, descr); \
     94:         } \
     95:       } while (0)
     96:   #else /* (CUSPARSE_VER_MAJOR > 10 || CUSPARSE_VER_MAJOR == 10 && CUSPARSE_VER_MINOR >= 2) */
     97:     #define PetscCallCUSPARSE(...) \
     98:       do { \
     99:         const cusparseStatus_t _p_cusparse_stat__ = __VA_ARGS__; \
    100:         PetscCheck(_p_cusparse_stat__ == CUSPARSE_STATUS_SUCCESS, PETSC_COMM_SELF, PETSC_ERR_GPU, "cuSPARSE errorcode %d", (PetscErrorCode)_p_cusparse_stat__); \
    101:       } while (0)
    102:   #endif /* (CUSPARSE_VER_MAJOR > 10 || CUSPARSE_VER_MAJOR == 10 && CUSPARSE_VER_MINOR >= 2) */
    103:   #define CHKERRCUSPARSE(...) PetscCallCUSPARSE(__VA_ARGS__)

    105:   #define PetscCallCUSOLVER(...) \
    106:     do { \
    107:       const cusolverStatus_t _p_cusolver_stat__ = __VA_ARGS__; \
    108:       if (PetscUnlikely(_p_cusolver_stat__ != CUSOLVER_STATUS_SUCCESS)) { \
    109:         const char *name = PetscCUSolverGetErrorName(_p_cusolver_stat__); \
    110:         if (((_p_cusolver_stat__ == CUSOLVER_STATUS_NOT_INITIALIZED) || (_p_cusolver_stat__ == CUSOLVER_STATUS_ALLOC_FAILED) || (_p_cusolver_stat__ == CUSOLVER_STATUS_INTERNAL_ERROR)) && PetscDeviceInitialized(PETSC_DEVICE_CUDA)) { \
    111:           SETERRQ(PETSC_COMM_SELF, PETSC_ERR_GPU_RESOURCE, \
    112:                   "cuSolver error %d (%s). " \
    113:                   "This indicates the GPU may have run out resources", \
    114:                   (PetscErrorCode)_p_cusolver_stat__, name); \
    115:         } else { \
    116:           SETERRQ(PETSC_COMM_SELF, PETSC_ERR_GPU, "cuSolver error %d (%s)", (PetscErrorCode)_p_cusolver_stat__, name); \
    117:         } \
    118:       } \
    119:     } while (0)
    120:   #define CHKERRCUSOLVER(...) PetscCallCUSOLVER(__VA_ARGS__)

    122:   #define PetscCallCUFFT(...) \
    123:     do { \
    124:       const cufftResult_t _p_cufft_stat__ = __VA_ARGS__; \
    125:       if (PetscUnlikely(_p_cufft_stat__ != CUFFT_SUCCESS)) { \
    126:         const char *name = PetscCUFFTGetErrorName(_p_cufft_stat__); \
    127:         if (((_p_cufft_stat__ == CUFFT_SETUP_FAILED) || (_p_cufft_stat__ == CUFFT_ALLOC_FAILED)) && PetscDeviceInitialized(PETSC_DEVICE_CUDA)) { \
    128:           SETERRQ(PETSC_COMM_SELF, PETSC_ERR_GPU_RESOURCE, \
    129:                   "cuFFT error %d (%s). " \
    130:                   "Reports not initialized or alloc failed; " \
    131:                   "this indicates the GPU has run out resources", \
    132:                   (PetscErrorCode)_p_cufft_stat__, name); \
    133:         } else { \
    134:           SETERRQ(PETSC_COMM_SELF, PETSC_ERR_GPU, "cuFFT error %d (%s)", (PetscErrorCode)_p_cufft_stat__, name); \
    135:         } \
    136:       } \
    137:     } while (0)
    138:   #define CHKERRCUFFT(...) PetscCallCUFFT(__VA_ARGS__)

    140:   #define PetscCallCURAND(...) \
    141:     do { \
    142:       const curandStatus_t _p_curand_stat__ = __VA_ARGS__; \
    143:       if (PetscUnlikely(_p_curand_stat__ != CURAND_STATUS_SUCCESS)) { \
    144:         if (((_p_curand_stat__ == CURAND_STATUS_INITIALIZATION_FAILED) || (_p_curand_stat__ == CURAND_STATUS_ALLOCATION_FAILED)) && PetscDeviceInitialized(PETSC_DEVICE_CUDA)) { \
    145:           SETERRQ(PETSC_COMM_SELF, PETSC_ERR_GPU_RESOURCE, \
    146:                   "cuRAND error %d. " \
    147:                   "Reports not initialized or alloc failed; " \
    148:                   "this indicates the GPU has run out resources", \
    149:                   (PetscErrorCode)_p_curand_stat__); \
    150:         } else { \
    151:           SETERRQ(PETSC_COMM_SELF, PETSC_ERR_GPU, "cuRand error %d", (PetscErrorCode)_p_curand_stat__); \
    152:         } \
    153:       } \
    154:     } while (0)
    155:   #define CHKERRCURAND(...) PetscCallCURAND(__VA_ARGS__)

    157: PETSC_EXTERN cudaStream_t   PetscDefaultCudaStream; // The default stream used by PETSc
    158: PETSC_EXTERN PetscErrorCode PetscCUBLASGetHandle(cublasHandle_t *);
    159: PETSC_EXTERN PetscErrorCode PetscCUSOLVERDnGetHandle(cusolverDnHandle_t *);
    160: PETSC_EXTERN PetscErrorCode PetscGetCurrentCUDAStream(cudaStream_t *);

    162: #endif // PETSC_HAVE_CUDA

    164: // these can also be defined in petscdevice_hip.h so we undef and define them *only* if the
    165: // current compiler is NVCC. In this case if petscdevice_hip.h is included first, the macros
    166: // would already be defined, but they would be empty since we cannot be using HCC at the same
    167: // time.
    168: #if PetscDefined(USING_NVCC)
    169:   #undef PETSC_HOST_DECL
    170:   #undef PETSC_DEVICE_DECL
    171:   #undef PETSC_KERNEL_DECL
    172:   #undef PETSC_SHAREDMEM_DECL
    173:   #undef PETSC_FORCEINLINE
    174:   #undef PETSC_CONSTMEM_DECL

    176:   #define PETSC_HOST_DECL      __host__
    177:   #define PETSC_DEVICE_DECL    __device__
    178:   #define PETSC_KERNEL_DECL    __global__
    179:   #define PETSC_SHAREDMEM_DECL __shared__
    180:   #define PETSC_FORCEINLINE    __forceinline__
    181:   #define PETSC_CONSTMEM_DECL  __constant__
    182: #endif

    184: #ifndef PETSC_HOST_DECL // use HOST_DECL as canary
    185:   #define PETSC_HOST_DECL
    186:   #define PETSC_DEVICE_DECL
    187:   #define PETSC_KERNEL_DECL
    188:   #define PETSC_SHAREDMEM_DECL
    189:   #define PETSC_FORCEINLINE inline
    190:   #define PETSC_CONSTMEM_DECL
    191: #endif

    193: #ifndef PETSC_DEVICE_DEFINED_DECLS_PRIVATE
    194:   #define PETSC_DEVICE_DEFINED_DECLS_PRIVATE
    195:   #define PETSC_HOSTDEVICE_DECL        PETSC_HOST_DECL PETSC_DEVICE_DECL
    196:   #define PETSC_DEVICE_INLINE_DECL     PETSC_DEVICE_DECL PETSC_FORCEINLINE
    197:   #define PETSC_HOSTDEVICE_INLINE_DECL PETSC_HOSTDEVICE_DECL PETSC_FORCEINLINE
    198: #endif