1405 строки
54 KiB
C
1405 строки
54 KiB
C
/*
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* Copyright (c) 2004-2006 The Trustees of Indiana University and Indiana
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* University Research and Technology
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* Corporation. All rights reserved.
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* Copyright (c) 2004-2005 The University of Tennessee and The University
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* of Tennessee Research Foundation. All rights
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* reserved.
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* Copyright (c) 2004-2005 High Performance Computing Center Stuttgart,
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* University of Stuttgart. All rights reserved.
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* Copyright (c) 2004-2006 The Regents of the University of California.
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* All rights reserved.
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* Copyright (c) 2011-2013 NVIDIA Corporation. All rights reserved.
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* $COPYRIGHT$
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*
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* Additional copyrights may follow
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*
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* $HEADER$
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*/
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/**
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* This file contains various support functions for doing CUDA
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* operations. Some of the features are only available in CUDA 4.1
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* and later, so some code is conditionalized around the
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* OMPI_CUDA_SUPPORT_41 macro.
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*/
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#include "ompi_config.h"
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#include <errno.h>
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#include <unistd.h>
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#include <cuda.h>
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#include "opal/align.h"
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#include "opal/mca/base/mca_base_param.h"
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#include "opal/datatype/opal_convertor.h"
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#include "opal/datatype/opal_datatype_cuda.h"
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#include "opal/util/output.h"
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#include "opal/util/lt_interface.h"
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#include "opal/util/show_help.h"
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#include "ompi/mca/mpool/base/base.h"
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#include "ompi/mca/rte/rte.h"
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#include "ompi/runtime/params.h"
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#include "common_cuda.h"
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/**
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* Since function names can get redefined in cuda.h file, we need to do this
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* stringifying to get the latest function name from the header file. For
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* example, cuda.h may have something like this:
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* #define cuMemFree cuMemFree_v2
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* We want to make sure we find cuMemFree_v2, not cuMemFree.
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*/
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#define STRINGIFY2(x) #x
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#define STRINGIFY(x) STRINGIFY2(x)
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#define OMPI_CUDA_DLSYM(libhandle, funcName) \
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do { \
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*(void **)(&cuFunc.funcName) = opal_lt_dlsym(libhandle, STRINGIFY(funcName)); \
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if (NULL == cuFunc.funcName) { \
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opal_show_help("help-mpi-common-cuda.txt", "dlsym failed", true, \
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STRINGIFY(funcName)); \
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return 1; \
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} else { \
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opal_output_verbose(15, mca_common_cuda_output, \
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"CUDA: successful dlsym of %s", \
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STRINGIFY(funcName)); \
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} \
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} while (0)
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/* Structure to hold CUDA function pointers that get dynamically loaded. */
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struct cudaFunctionTable {
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int (*cuPointerGetAttribute)(void *, CUpointer_attribute, CUdeviceptr);
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int (*cuMemcpyAsync)(CUdeviceptr, CUdeviceptr, size_t, CUstream);
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int (*cuMemcpy)(CUdeviceptr, CUdeviceptr, size_t);
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int (*cuMemAlloc)(CUdeviceptr *, unsigned int);
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int (*cuMemFree)(CUdeviceptr buf);
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int (*cuCtxGetCurrent)(void *cuContext);
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int (*cuStreamCreate)(CUstream *, int);
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int (*cuEventCreate)(CUevent *, int);
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int (*cuEventRecord)(CUevent, CUstream);
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int (*cuMemHostRegister)(void *, size_t, unsigned int);
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int (*cuMemHostUnregister)(void *);
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int (*cuEventQuery)(CUevent);
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int (*cuEventDestroy)(CUevent);
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int (*cuStreamWaitEvent)(CUstream, CUevent, unsigned int);
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int (*cuMemGetAddressRange)(CUdeviceptr*, size_t*, CUdeviceptr);
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#if OMPI_CUDA_SUPPORT_41
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int (*cuIpcGetEventHandle)(CUipcEventHandle*, CUevent);
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int (*cuIpcOpenEventHandle)(CUevent*, CUipcEventHandle);
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int (*cuIpcOpenMemHandle)(CUdeviceptr*, CUipcMemHandle, unsigned int);
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int (*cuIpcCloseMemHandle)(CUdeviceptr);
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int (*cuIpcGetMemHandle)(CUipcMemHandle*, CUdeviceptr);
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#endif /* OMPI_CUDA_SUPPORT_41 */
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} cudaFunctionTable;
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typedef struct cudaFunctionTable cudaFunctionTable_t;
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cudaFunctionTable_t cuFunc;
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static bool common_cuda_initialized = false;
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static bool common_cuda_init_function_added = false;
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static int mca_common_cuda_verbose;
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static int mca_common_cuda_output = 0;
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static bool mca_common_cuda_enabled = false;
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static bool mca_common_cuda_register_memory = true;
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static bool mca_common_cuda_warning = false;
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static opal_list_t common_cuda_memory_registrations;
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static CUstream ipcStream;
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static CUstream dtohStream;
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static CUstream htodStream;
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/* Functions called by opal layer - plugged into opal function table */
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static int mca_common_cuda_is_gpu_buffer(const void*);
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static int mca_common_cuda_memmove(void*, void*, size_t);
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static int mca_common_cuda_cu_memcpy_async(void*, const void*, size_t, opal_convertor_t*);
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static int mca_common_cuda_cu_memcpy(void*, const void*, size_t);
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/* Structure to hold memory registrations that are delayed until first
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* call to send or receive a GPU pointer */
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struct common_cuda_mem_regs_t {
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opal_list_item_t super;
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void *ptr;
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size_t amount;
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char *msg;
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};
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typedef struct common_cuda_mem_regs_t common_cuda_mem_regs_t;
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OBJ_CLASS_DECLARATION(common_cuda_mem_regs_t);
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OBJ_CLASS_INSTANCE( common_cuda_mem_regs_t,
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opal_list_item_t,
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NULL,
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NULL );
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#if OMPI_CUDA_SUPPORT_41
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static int mca_common_cuda_async = 1;
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/* Array of CUDA events to be queried for IPC stream, sending side and
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* receiving side. */
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CUevent *cuda_event_ipc_array;
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CUevent *cuda_event_dtoh_array;
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CUevent *cuda_event_htod_array;
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/* Array of fragments currently being moved by cuda async non-blocking
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* operations */
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struct mca_btl_base_descriptor_t **cuda_event_ipc_frag_array;
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struct mca_btl_base_descriptor_t **cuda_event_dtoh_frag_array;
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struct mca_btl_base_descriptor_t **cuda_event_htod_frag_array;
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/* First free/available location in cuda_event_status_array */
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int cuda_event_ipc_first_avail, cuda_event_dtoh_first_avail, cuda_event_htod_first_avail;
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/* First currently-being used location in the cuda_event_status_array */
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int cuda_event_ipc_first_used, cuda_event_dtoh_first_used, cuda_event_htod_first_used;
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/* Number of status items currently in use */
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int cuda_event_ipc_num_used, cuda_event_dtoh_num_used, cuda_event_htod_num_used;
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/* Size of array holding events */
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int cuda_event_max = 200;
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/* Handle to libcuda.so */
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opal_lt_dlhandle libcuda_handle;
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#define CUDA_COMMON_TIMING 0
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#if CUDA_COMMON_TIMING
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/* Some timing support structures. Enable this to help analyze
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* internal performance issues. */
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static struct timespec ts_start;
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static struct timespec ts_end;
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static double accum;
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#define THOUSAND 1000L
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#define MILLION 1000000L
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static float mydifftime(struct timespec ts_start, struct timespec ts_end);
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#endif /* CUDA_COMMON_TIMING */
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static int mca_common_cuda_load_libcuda(void);
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/* These functions are typically unused in the optimized builds. */
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static void cuda_dump_evthandle(int, void *, char *) __opal_attribute_unused__ ;
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static void cuda_dump_memhandle(int, void *, char *) __opal_attribute_unused__ ;
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#if OPAL_ENABLE_DEBUG
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#define CUDA_DUMP_MEMHANDLE(a) cuda_dump_memhandle a
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#define CUDA_DUMP_EVTHANDLE(a) cuda_dump_evthandle a
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#else
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#define CUDA_DUMP_MEMHANDLE(a)
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#define CUDA_DUMP_EVTHANDLE(a)
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#endif /* OPAL_ENABLE_DEBUG */
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#endif /* OMPI_CUDA_SUPPORT_41 */
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/**
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* This function is registered with the OPAL CUDA support. In that way,
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* we will complete initialization when OPAL detects the first GPU memory
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* access. In the case that no GPU memory access happens, then this function
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* never gets called.
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*/
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static int mca_common_cuda_init(opal_common_cuda_function_table_t *ftable)
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{
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int id, value, i, s;
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CUresult res;
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CUcontext cuContext;
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common_cuda_mem_regs_t *mem_reg;
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if (!ompi_mpi_cuda_support) {
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return OMPI_ERROR;
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}
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if (common_cuda_initialized) {
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return OMPI_SUCCESS;
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}
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ftable->gpu_is_gpu_buffer = &mca_common_cuda_is_gpu_buffer;
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ftable->gpu_cu_memcpy_async = &mca_common_cuda_cu_memcpy_async;
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ftable->gpu_cu_memcpy = &mca_common_cuda_cu_memcpy;
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ftable->gpu_memmove = &mca_common_cuda_memmove;
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/* Set different levels of verbosity in the cuda related code. */
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id = mca_base_param_reg_int_name("mpi", "common_cuda_verbose",
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"Set level of common cuda verbosity",
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false, false, 0, &mca_common_cuda_verbose);
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mca_common_cuda_output = opal_output_open(NULL);
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opal_output_set_verbosity(mca_common_cuda_output, mca_common_cuda_verbose);
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/* Control whether system buffers get CUDA pinned or not. Allows for
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* performance analysis. */
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id = mca_base_param_reg_int_name("mpi", "common_cuda_register_memory",
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"Whether to cuMemHostRegister preallocated BTL buffers",
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false, false,
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(int) mca_common_cuda_register_memory, &value);
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mca_common_cuda_register_memory = OPAL_INT_TO_BOOL(value);
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/* Control whether we see warnings when CUDA memory registration fails. This is
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* useful when CUDA support is configured in, but we are running a regular MPI
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* application without CUDA. */
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id = mca_base_param_reg_int_name("mpi", "common_cuda_warning",
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"Whether to print warnings when CUDA registration fails",
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false, false,
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(int) mca_common_cuda_warning, &value);
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mca_common_cuda_warning = OPAL_INT_TO_BOOL(value);
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/* If we cannot load the libary, then disable support */
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if (0 != mca_common_cuda_load_libcuda()) {
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common_cuda_initialized = true;
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ompi_mpi_cuda_support = 0;
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return OMPI_ERROR;
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}
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#if OMPI_CUDA_SUPPORT_41
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/* Use this flag to test async vs sync copies */
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id = mca_base_param_reg_int_name("mpi", "common_cuda_memcpy_async",
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"Set to 0 to force CUDA sync copy instead of async",
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false, false, mca_common_cuda_async, &i);
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mca_common_cuda_async = i;
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/* Use this parameter to increase the number of outstanding events allows */
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id = mca_base_param_reg_int_name("mpi", "common_cuda_event_max",
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"Set number of oustanding CUDA events",
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false, false, cuda_event_max, &i);
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cuda_event_max = i;
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#endif /* OMPI_CUDA_SUPPORT_41 */
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/* Check to see if this process is running in a CUDA context. If
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* so, all is good. If not, then disable registration of memory. */
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res = cuFunc.cuCtxGetCurrent(&cuContext);
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if (CUDA_SUCCESS != res) {
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if (mca_common_cuda_warning) {
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/* Check for the not initialized error since we can make suggestions to
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* user for this error. */
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if (CUDA_ERROR_NOT_INITIALIZED == res) {
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opal_show_help("help-mpi-common-cuda.txt", "cuCtxGetCurrent failed not initialized",
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true);
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} else {
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opal_show_help("help-mpi-common-cuda.txt", "cuCtxGetCurrent failed",
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true, res);
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}
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}
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mca_common_cuda_enabled = false;
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mca_common_cuda_register_memory = false;
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} else if ((CUDA_SUCCESS == res) && (NULL == cuContext)) {
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if (mca_common_cuda_warning) {
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opal_show_help("help-mpi-common-cuda.txt", "cuCtxGetCurrent returned NULL",
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true);
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}
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mca_common_cuda_enabled = false;
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mca_common_cuda_register_memory = false;
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} else {
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/* All is good. mca_common_cuda_register_memory will retain its original
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* value. Normally, that is 1, but the user can override it to disable
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* registration of the internal buffers. */
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mca_common_cuda_enabled = true;
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opal_output_verbose(20, mca_common_cuda_output,
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"CUDA: cuCtxGetCurrent succeeded");
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}
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/* No need to go on at this point. If we cannot create a context and we are at
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* the point where we are making MPI calls, it is time to fully disable
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* CUDA support.
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*/
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if (false == mca_common_cuda_enabled) {
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return OMPI_ERROR;
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}
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#if OMPI_CUDA_SUPPORT_41
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if (true == mca_common_cuda_enabled) {
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/* Set up an array to store outstanding IPC async copy events */
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cuda_event_ipc_array = NULL;
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cuda_event_ipc_frag_array = NULL;
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cuda_event_ipc_num_used = 0;
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cuda_event_ipc_first_avail = 0;
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cuda_event_ipc_first_used = 0;
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cuda_event_ipc_array = (CUevent *) malloc(sizeof(CUevent) * cuda_event_max);
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if (NULL == cuda_event_ipc_array) {
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opal_show_help("help-mpi-common-cuda.txt", "No memory",
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true, errno, strerror(errno));
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return OMPI_ERROR;
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}
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/* Create the events since they can be reused. */
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for (i = 0; i < cuda_event_max; i++) {
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res = cuFunc.cuEventCreate(&cuda_event_ipc_array[i], CU_EVENT_DISABLE_TIMING);
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if (CUDA_SUCCESS != res) {
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opal_show_help("help-mpi-common-cuda.txt", "cuEventCreate failed",
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true, res);
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return OMPI_ERROR;
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}
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}
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/* The first available status index is 0. Make an empty frag
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array. */
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cuda_event_ipc_frag_array = (struct mca_btl_base_descriptor_t **)
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malloc(sizeof(struct mca_btl_base_descriptor_t *) * cuda_event_max);
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if (NULL == cuda_event_ipc_frag_array) {
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opal_show_help("help-mpi-common-cuda.txt", "No memory",
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true, errno, strerror(errno));
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return OMPI_ERROR;
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}
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}
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#endif /* OMPI_CUDA_SUPPORT_41 */
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if (true == mca_common_cuda_enabled) {
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/* Set up an array to store outstanding async dtoh events. Used on the
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* sending side for asynchronous copies. */
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cuda_event_dtoh_array = NULL;
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cuda_event_dtoh_frag_array = NULL;
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cuda_event_dtoh_num_used = 0;
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cuda_event_dtoh_first_avail = 0;
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cuda_event_dtoh_first_used = 0;
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cuda_event_dtoh_array = (CUevent *) malloc(sizeof(CUevent) * cuda_event_max);
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if (NULL == cuda_event_dtoh_array) {
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opal_show_help("help-mpi-common-cuda.txt", "No memory",
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true, errno, strerror(errno));
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return OMPI_ERROR;
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}
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/* Create the events since they can be reused. */
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for (i = 0; i < cuda_event_max; i++) {
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res = cuFunc.cuEventCreate(&cuda_event_dtoh_array[i], CU_EVENT_DISABLE_TIMING);
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if (CUDA_SUCCESS != res) {
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opal_show_help("help-mpi-common-cuda.txt", "cuEventCreate failed",
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true, res);
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return OMPI_ERROR;
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}
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}
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/* The first available status index is 0. Make an empty frag
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array. */
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cuda_event_dtoh_frag_array = (struct mca_btl_base_descriptor_t **)
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malloc(sizeof(struct mca_btl_base_descriptor_t *) * cuda_event_max);
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if (NULL == cuda_event_dtoh_frag_array) {
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opal_show_help("help-mpi-common-cuda.txt", "No memory",
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true, errno, strerror(errno));
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return OMPI_ERROR;
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}
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/* Set up an array to store outstanding async htod events. Used on the
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* receiving side for asynchronous copies. */
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cuda_event_htod_array = NULL;
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cuda_event_htod_frag_array = NULL;
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cuda_event_htod_num_used = 0;
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cuda_event_htod_first_avail = 0;
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cuda_event_htod_first_used = 0;
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cuda_event_htod_array = (CUevent *) malloc(sizeof(CUevent) * cuda_event_max);
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if (NULL == cuda_event_htod_array) {
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opal_show_help("help-mpi-common-cuda.txt", "No memory",
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true, errno, strerror(errno));
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return OMPI_ERROR;
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}
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/* Create the events since they can be reused. */
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for (i = 0; i < cuda_event_max; i++) {
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res = cuFunc.cuEventCreate(&cuda_event_htod_array[i], CU_EVENT_DISABLE_TIMING);
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if (CUDA_SUCCESS != res) {
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opal_show_help("help-mpi-common-cuda.txt", "cuEventCreate failed",
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true, res);
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return OMPI_ERROR;
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}
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}
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/* The first available status index is 0. Make an empty frag
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array. */
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cuda_event_htod_frag_array = (struct mca_btl_base_descriptor_t **)
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malloc(sizeof(struct mca_btl_base_descriptor_t *) * cuda_event_max);
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if (NULL == cuda_event_htod_frag_array) {
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opal_show_help("help-mpi-common-cuda.txt", "No memory",
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true, errno, strerror(errno));
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return OMPI_ERROR;
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}
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}
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s = opal_list_get_size(&common_cuda_memory_registrations);
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for(i = 0; i < s; i++) {
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mem_reg = (common_cuda_mem_regs_t *)
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opal_list_remove_first(&common_cuda_memory_registrations);
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if (mca_common_cuda_enabled && mca_common_cuda_register_memory) {
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res = cuFunc.cuMemHostRegister(mem_reg->ptr, mem_reg->amount, 0);
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if (res != CUDA_SUCCESS) {
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/* If registering the memory fails, print a message and continue.
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* This is not a fatal error. */
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opal_show_help("help-mpi-common-cuda.txt", "cuMemHostRegister failed",
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true, mem_reg->ptr, mem_reg->amount,
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ompi_process_info.nodename, res, mem_reg->msg);
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} else {
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opal_output_verbose(20, mca_common_cuda_output,
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"CUDA: cuMemHostRegister OK on mpool %s: "
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"address=%p, bufsize=%d",
|
|
mem_reg->msg, mem_reg->ptr, (int)mem_reg->amount);
|
|
}
|
|
}
|
|
free(mem_reg->msg);
|
|
OBJ_RELEASE(mem_reg);
|
|
}
|
|
|
|
/* Create stream for use in ipc asynchronous copies */
|
|
res = cuFunc.cuStreamCreate(&ipcStream, 0);
|
|
if (res != CUDA_SUCCESS) {
|
|
opal_show_help("help-mpi-common-cuda.txt", "cuStreamCreate failed",
|
|
true, res);
|
|
return OMPI_ERROR;
|
|
}
|
|
|
|
/* Create stream for use in dtoh asynchronous copies */
|
|
res = cuFunc.cuStreamCreate(&dtohStream, 0);
|
|
if (res != CUDA_SUCCESS) {
|
|
opal_show_help("help-mpi-common-cuda.txt", "cuStreamCreate failed",
|
|
true, res);
|
|
return OMPI_ERROR;
|
|
|
|
}
|
|
|
|
/* Create stream for use in htod asynchronous copies */
|
|
res = cuFunc.cuStreamCreate(&htodStream, 0);
|
|
if (res != CUDA_SUCCESS) {
|
|
opal_show_help("help-mpi-common-cuda.txt", "cuStreamCreate failed",
|
|
true, res);
|
|
return OMPI_ERROR;
|
|
|
|
}
|
|
|
|
opal_output_verbose(30, mca_common_cuda_output,
|
|
"CUDA: initialized");
|
|
common_cuda_initialized = true;
|
|
return OMPI_SUCCESS;
|
|
}
|
|
|
|
/**
|
|
* This function will open and load the symbols needed from the CUDA driver
|
|
* library. Any failure will result in a message and we will return 1.
|
|
*/
|
|
static int mca_common_cuda_load_libcuda(void)
|
|
{
|
|
opal_lt_dladvise advise;
|
|
int retval;
|
|
int advise_support = 1;
|
|
|
|
if (0 != (retval = opal_lt_dlinit())) {
|
|
if (OPAL_ERR_NOT_SUPPORTED == retval) {
|
|
opal_show_help("help-mpi-common-cuda.txt", "dlopen disabled", true);
|
|
} else {
|
|
opal_show_help("help-mpi-common-cuda.txt", "unknown ltdl error", true,
|
|
"opal_lt_dlinit", retval, opal_lt_dlerror());
|
|
}
|
|
return 1;
|
|
}
|
|
|
|
/* Initialize the lt_dladvise structure. If this does not work, we can
|
|
* proceed without the support. Things should still work. */
|
|
if (0 != (retval = opal_lt_dladvise_init(&advise))) {
|
|
if (OPAL_ERR_NOT_SUPPORTED == retval) {
|
|
advise_support = 0;
|
|
} else {
|
|
opal_show_help("help-mpi-common-cuda.txt", "unknown ltdl error", true,
|
|
"opal_lt_dladvise_init", retval, opal_lt_dlerror());
|
|
return 1;
|
|
}
|
|
}
|
|
|
|
if (advise_support) {
|
|
if (0 != (retval = opal_lt_dladvise_global(&advise))) {
|
|
opal_show_help("help-mpi-common-cuda.txt", "unknown ltdl error", true,
|
|
"opal_lt_dladvise_global", retval, opal_lt_dlerror());
|
|
opal_lt_dladvise_destroy(&advise);
|
|
return 1;
|
|
}
|
|
|
|
/*
|
|
* Try and open libcuda.so and libcuda.so.1. Note that we are not using
|
|
* opal_lt_dladvise_ext() as we do not need ltdl to add any suffixes to
|
|
* the library names being handed in.
|
|
*/
|
|
libcuda_handle = opal_lt_dlopenadvise("libcuda.so", advise);
|
|
|
|
/* If the first open fails, save the error message so that it can be printed
|
|
* out of the second open fails as well. If the second open succeeds, then
|
|
* we do not caer that the first open failed. */
|
|
if (NULL == libcuda_handle) {
|
|
char *err1;
|
|
const char *str1 = opal_lt_dlerror();
|
|
if (NULL != str1) {
|
|
err1 = strdup(str1);
|
|
} else {
|
|
err1 = strdup("lt_dlerror() returned NULL.");
|
|
}
|
|
libcuda_handle = opal_lt_dlopenadvise("libcuda.so.1", advise);
|
|
if (NULL == libcuda_handle) {
|
|
char *err2;
|
|
const char *str2 = opal_lt_dlerror();
|
|
if (NULL != str2) {
|
|
err2 = strdup(str2);
|
|
} else {
|
|
err2 = strdup("lt_dlerror() returned NULL.");
|
|
}
|
|
opal_show_help("help-mpi-common-cuda.txt", "dlopen failed", true,
|
|
"libcuda.so", err1, "libcuda.so.1", err2);
|
|
free(err1);
|
|
free(err2);
|
|
opal_lt_dladvise_destroy(&advise);
|
|
return 1;
|
|
}
|
|
free(err1);
|
|
}
|
|
|
|
opal_lt_dladvise_destroy(&advise);
|
|
} else {
|
|
/* No lt_dladvise support. This should rarely happen. */
|
|
/*
|
|
* Try and open libcuda.so and libcuda.so.1. Note that we are not using
|
|
* opal_lt_dladvise_ext() as we do not need ltdl to add any suffixes to
|
|
* the library names being handed in.
|
|
*/
|
|
libcuda_handle = opal_lt_dlopen("libcuda.so");
|
|
|
|
/* If the first open fails, save the error message so that it can be printed
|
|
* out of the second open fails as well. If the second open succeeds, then
|
|
* we do not caer that the first open failed. */
|
|
if (NULL == libcuda_handle) {
|
|
char *err1;
|
|
const char *str1 = opal_lt_dlerror();
|
|
if (NULL != str1) {
|
|
err1 = strdup(str1);
|
|
} else {
|
|
err1 = strdup("lt_dlerror() returned NULL.");
|
|
}
|
|
libcuda_handle = opal_lt_dlopen("libcuda.so.1");
|
|
if (NULL == libcuda_handle) {
|
|
char *err2;
|
|
const char *str2 = opal_lt_dlerror();
|
|
if (NULL != str2) {
|
|
err2 = strdup(str2);
|
|
} else {
|
|
err2 = strdup("lt_dlerror() returned NULL.");
|
|
}
|
|
opal_show_help("help-mpi-common-cuda.txt", "dlopen failed", true,
|
|
"libcuda.so", err1, "libcuda.so.1", err2);
|
|
free(err1);
|
|
free(err2);
|
|
return 1;
|
|
}
|
|
free(err1);
|
|
}
|
|
}
|
|
|
|
/* Map in the functions that we need */
|
|
OMPI_CUDA_DLSYM(libcuda_handle, cuStreamCreate);
|
|
OMPI_CUDA_DLSYM(libcuda_handle, cuCtxGetCurrent);
|
|
OMPI_CUDA_DLSYM(libcuda_handle, cuEventCreate);
|
|
OMPI_CUDA_DLSYM(libcuda_handle, cuEventRecord);
|
|
OMPI_CUDA_DLSYM(libcuda_handle, cuMemHostRegister);
|
|
OMPI_CUDA_DLSYM(libcuda_handle, cuMemHostUnregister);
|
|
OMPI_CUDA_DLSYM(libcuda_handle, cuPointerGetAttribute);
|
|
OMPI_CUDA_DLSYM(libcuda_handle, cuEventQuery);
|
|
OMPI_CUDA_DLSYM(libcuda_handle, cuEventDestroy);
|
|
OMPI_CUDA_DLSYM(libcuda_handle, cuStreamWaitEvent);
|
|
OMPI_CUDA_DLSYM(libcuda_handle, cuMemcpyAsync);
|
|
OMPI_CUDA_DLSYM(libcuda_handle, cuMemcpy);
|
|
OMPI_CUDA_DLSYM(libcuda_handle, cuMemFree);
|
|
OMPI_CUDA_DLSYM(libcuda_handle, cuMemAlloc);
|
|
OMPI_CUDA_DLSYM(libcuda_handle, cuMemGetAddressRange);
|
|
#if OMPI_CUDA_SUPPORT_41
|
|
OMPI_CUDA_DLSYM(libcuda_handle, cuIpcGetEventHandle);
|
|
OMPI_CUDA_DLSYM(libcuda_handle, cuIpcOpenEventHandle);
|
|
OMPI_CUDA_DLSYM(libcuda_handle, cuIpcOpenMemHandle);
|
|
OMPI_CUDA_DLSYM(libcuda_handle, cuIpcCloseMemHandle);
|
|
OMPI_CUDA_DLSYM(libcuda_handle, cuIpcGetMemHandle);
|
|
#endif /* OMPI_CUDA_SUPPORT_41 */
|
|
return 0;
|
|
}
|
|
|
|
/**
|
|
* Call the CUDA register function so we pin the memory in the CUDA
|
|
* space.
|
|
*/
|
|
void mca_common_cuda_register(void *ptr, size_t amount, char *msg) {
|
|
int res;
|
|
|
|
if (!common_cuda_initialized) {
|
|
common_cuda_mem_regs_t *regptr;
|
|
if (!common_cuda_init_function_added) {
|
|
opal_cuda_add_initialization_function(&mca_common_cuda_init);
|
|
OBJ_CONSTRUCT(&common_cuda_memory_registrations, opal_list_t);
|
|
common_cuda_init_function_added = true;
|
|
}
|
|
regptr = OBJ_NEW(common_cuda_mem_regs_t);
|
|
regptr->ptr = ptr;
|
|
regptr->amount = amount;
|
|
regptr->msg = strdup(msg);
|
|
opal_list_append(&common_cuda_memory_registrations,
|
|
(opal_list_item_t*)regptr);
|
|
return;
|
|
}
|
|
|
|
if (mca_common_cuda_enabled && mca_common_cuda_register_memory) {
|
|
res = cuFunc.cuMemHostRegister(ptr, amount, 0);
|
|
if (res != CUDA_SUCCESS) {
|
|
/* If registering the memory fails, print a message and continue.
|
|
* This is not a fatal error. */
|
|
opal_show_help("help-mpi-common-cuda.txt", "cuMemHostRegister failed",
|
|
true, ptr, amount,
|
|
ompi_process_info.nodename, res, msg);
|
|
} else {
|
|
opal_output_verbose(20, mca_common_cuda_output,
|
|
"CUDA: cuMemHostRegister OK on mpool %s: "
|
|
"address=%p, bufsize=%d",
|
|
msg, ptr, (int)amount);
|
|
}
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Call the CUDA unregister function so we unpin the memory in the CUDA
|
|
* space.
|
|
*/
|
|
void mca_common_cuda_unregister(void *ptr, char *msg) {
|
|
int res, i, s;
|
|
common_cuda_mem_regs_t *mem_reg;
|
|
|
|
/* This can happen if memory was queued up to be registered, but
|
|
* no CUDA operations happened, so it never was registered.
|
|
* Therefore, just release any of the resources. */
|
|
if (false == common_cuda_initialized) {
|
|
s = opal_list_get_size(&common_cuda_memory_registrations);
|
|
for(i = 0; i < s; i++) {
|
|
mem_reg = (common_cuda_mem_regs_t *)
|
|
opal_list_remove_first(&common_cuda_memory_registrations);
|
|
free(mem_reg->msg);
|
|
OBJ_RELEASE(mem_reg);
|
|
}
|
|
return;
|
|
}
|
|
|
|
if (mca_common_cuda_enabled && mca_common_cuda_register_memory) {
|
|
res = cuFunc.cuMemHostUnregister(ptr);
|
|
if (res != CUDA_SUCCESS) {
|
|
/* If unregistering the memory fails, print a message and continue.
|
|
* This is not a fatal error. */
|
|
opal_show_help("help-mpi-common-cuda.txt", "cuMemHostUnregister failed",
|
|
true, ptr,
|
|
ompi_process_info.nodename, res, msg);
|
|
} else {
|
|
opal_output_verbose(20, mca_common_cuda_output,
|
|
"CUDA: cuMemHostUnregister OK on mpool %s: "
|
|
"address=%p",
|
|
msg, ptr);
|
|
}
|
|
}
|
|
}
|
|
|
|
#if OMPI_CUDA_SUPPORT_41
|
|
/*
|
|
* Get the memory handle of a local section of memory that can be sent
|
|
* to the remote size so it can access the memory. This is the
|
|
* registration function for the sending side of a message transfer.
|
|
*/
|
|
int cuda_getmemhandle(void *base, size_t size, mca_mpool_base_registration_t *newreg,
|
|
mca_mpool_base_registration_t *hdrreg)
|
|
|
|
{
|
|
CUmemorytype memType;
|
|
CUresult result;
|
|
CUipcMemHandle memHandle;
|
|
CUdeviceptr pbase;
|
|
size_t psize;
|
|
|
|
mca_mpool_common_cuda_reg_t *cuda_reg = (mca_mpool_common_cuda_reg_t*)newreg;
|
|
|
|
/* We should only be there if this is a CUDA device pointer */
|
|
result = cuFunc.cuPointerGetAttribute(&memType,
|
|
CU_POINTER_ATTRIBUTE_MEMORY_TYPE, (CUdeviceptr)base);
|
|
assert(CUDA_SUCCESS == result);
|
|
assert(CU_MEMORYTYPE_DEVICE == memType);
|
|
|
|
/* Get the memory handle so we can send it to the remote process. */
|
|
result = cuFunc.cuIpcGetMemHandle(&memHandle, (CUdeviceptr)base);
|
|
CUDA_DUMP_MEMHANDLE((100, &memHandle, "GetMemHandle-After"));
|
|
|
|
if (CUDA_SUCCESS != result) {
|
|
opal_show_help("help-mpi-common-cuda.txt", "cuIpcGetMemHandle failed",
|
|
true, result, base);
|
|
return OMPI_ERROR;
|
|
} else {
|
|
opal_output_verbose(20, mca_common_cuda_output,
|
|
"CUDA: cuIpcGetMemHandle passed: base=%p size=%d",
|
|
base, (int)size);
|
|
}
|
|
|
|
/* Need to get the real base and size of the memory handle. This is
|
|
* how the remote side saves the handles in a cache. */
|
|
result = cuFunc.cuMemGetAddressRange(&pbase, &psize, (CUdeviceptr)base);
|
|
if (CUDA_SUCCESS != result) {
|
|
opal_show_help("help-mpi-common-cuda.txt", "cuMemGetAddressRange failed",
|
|
true, result, base);
|
|
return OMPI_ERROR;
|
|
} else {
|
|
opal_output_verbose(10, mca_common_cuda_output,
|
|
"CUDA: cuMemGetAddressRange passed: addr=%p, size=%d, pbase=%p, psize=%d ",
|
|
base, (int)size, (void *)pbase, (int)psize);
|
|
}
|
|
|
|
/* Store all the information in the registration */
|
|
cuda_reg->base.base = (void *)pbase;
|
|
cuda_reg->base.bound = (unsigned char *)pbase + psize - 1;
|
|
memcpy(&cuda_reg->memHandle, &memHandle, sizeof(memHandle));
|
|
|
|
/* Need to record the event to ensure that any memcopies into the
|
|
* device memory have completed. The event handle associated with
|
|
* this event is sent to the remote process so that it will wait
|
|
* on this event prior to copying data out of the device memory.
|
|
* Note that this needs to be the NULL stream to make since it is
|
|
* unknown what stream any copies into the device memory were done
|
|
* with. */
|
|
result = cuFunc.cuEventRecord((CUevent)cuda_reg->event, 0);
|
|
if (CUDA_SUCCESS != result) {
|
|
opal_show_help("help-mpi-common-cuda.txt", "cuEventRecord failed",
|
|
true, result, base);
|
|
return OMPI_ERROR;
|
|
}
|
|
|
|
return OMPI_SUCCESS;
|
|
}
|
|
|
|
/*
|
|
* This function is called by the local side that called the cuda_getmemhandle.
|
|
* There is nothing to be done so just return.
|
|
*/
|
|
int cuda_ungetmemhandle(void *reg_data, mca_mpool_base_registration_t *reg)
|
|
{
|
|
CUDA_DUMP_EVTHANDLE((100, ((mca_mpool_common_cuda_reg_t *)reg)->evtHandle, "cuda_ungetmemhandle"));
|
|
opal_output_verbose(10, mca_common_cuda_output,
|
|
"CUDA: cuda_ungetmemhandle (no-op): base=%p", reg->base);
|
|
|
|
return OMPI_SUCCESS;
|
|
}
|
|
|
|
/*
|
|
* Open a memory handle that refers to remote memory so we can get an address
|
|
* that works on the local side. This is the registration function for the
|
|
* remote side of a transfer. newreg contains the new handle. hddrreg contains
|
|
* the memory handle that was received from the remote side.
|
|
*/
|
|
int cuda_openmemhandle(void *base, size_t size, mca_mpool_base_registration_t *newreg,
|
|
mca_mpool_base_registration_t *hdrreg)
|
|
{
|
|
CUresult result;
|
|
CUipcMemHandle memHandle;
|
|
mca_mpool_common_cuda_reg_t *cuda_newreg = (mca_mpool_common_cuda_reg_t*)newreg;
|
|
|
|
/* Need to copy into memory handle for call into CUDA library. */
|
|
memcpy(&memHandle, cuda_newreg->memHandle, sizeof(memHandle));
|
|
CUDA_DUMP_MEMHANDLE((100, &memHandle, "Before call to cuIpcOpenMemHandle"));
|
|
|
|
/* Open the memory handle and store it into the registration structure. */
|
|
result = cuFunc.cuIpcOpenMemHandle((CUdeviceptr *)&newreg->alloc_base, memHandle,
|
|
CU_IPC_MEM_LAZY_ENABLE_PEER_ACCESS);
|
|
|
|
/* If there are some stale entries in the cache, they can cause other
|
|
* registrations to fail. Let the caller know that so that can attempt
|
|
* to clear them out. */
|
|
if (CUDA_ERROR_ALREADY_MAPPED == result) {
|
|
opal_output_verbose(10, mca_common_cuda_output,
|
|
"CUDA: cuIpcOpenMemHandle returned CUDA_ERROR_ALREADY_MAPPED for "
|
|
"p=%p,size=%d: notify memory pool\n", base, (int)size);
|
|
return OMPI_ERR_WOULD_BLOCK;
|
|
}
|
|
if (CUDA_SUCCESS != result) {
|
|
opal_show_help("help-mpi-common-cuda.txt", "cuIpcOpenMemHandle failed",
|
|
true, result, base);
|
|
/* Currently, this is a non-recoverable error */
|
|
return OMPI_ERROR;
|
|
} else {
|
|
opal_output_verbose(10, mca_common_cuda_output,
|
|
"CUDA: cuIpcOpenMemHandle passed: base=%p (remote base=%p,size=%d)",
|
|
newreg->alloc_base, base, (int)size);
|
|
CUDA_DUMP_MEMHANDLE((200, &memHandle, "cuIpcOpenMemHandle"));
|
|
}
|
|
|
|
return OMPI_SUCCESS;
|
|
}
|
|
|
|
/*
|
|
* Close a memory handle that refers to remote memory.
|
|
*/
|
|
int cuda_closememhandle(void *reg_data, mca_mpool_base_registration_t *reg)
|
|
{
|
|
CUresult result;
|
|
mca_mpool_common_cuda_reg_t *cuda_reg = (mca_mpool_common_cuda_reg_t*)reg;
|
|
|
|
result = cuFunc.cuIpcCloseMemHandle((CUdeviceptr)cuda_reg->base.alloc_base);
|
|
if (CUDA_SUCCESS != result) {
|
|
opal_show_help("help-mpi-common-cuda.txt", "cuIpcCloseMemHandle failed",
|
|
true, result, cuda_reg->base.alloc_base);
|
|
/* We will just continue on and hope things continue to work. */
|
|
} else {
|
|
opal_output_verbose(10, mca_common_cuda_output,
|
|
"CUDA: cuIpcCloseMemHandle passed: base=%p",
|
|
cuda_reg->base.alloc_base);
|
|
CUDA_DUMP_MEMHANDLE((100, cuda_reg->memHandle, "cuIpcCloseMemHandle"));
|
|
}
|
|
|
|
return OMPI_SUCCESS;
|
|
}
|
|
|
|
void mca_common_cuda_construct_event_and_handle(uint64_t **event, void **handle)
|
|
{
|
|
CUresult result;
|
|
|
|
result = cuFunc.cuEventCreate((CUevent *)event, CU_EVENT_INTERPROCESS | CU_EVENT_DISABLE_TIMING);
|
|
if (CUDA_SUCCESS != result) {
|
|
opal_show_help("help-mpi-common-cuda.txt", "cuEventCreate failed",
|
|
true, result);
|
|
}
|
|
|
|
result = cuFunc.cuIpcGetEventHandle((CUipcEventHandle *)handle, (CUevent)*event);
|
|
if (CUDA_SUCCESS != result){
|
|
opal_show_help("help-mpi-common-cuda.txt", "cuIpcGetEventHandle failed",
|
|
true, result);
|
|
}
|
|
|
|
CUDA_DUMP_EVTHANDLE((10, handle, "construct_event_and_handle"));
|
|
|
|
}
|
|
|
|
void mca_common_cuda_destruct_event(uint64_t *event)
|
|
{
|
|
CUresult result;
|
|
|
|
result = cuFunc.cuEventDestroy((CUevent)event);
|
|
if (CUDA_SUCCESS != result) {
|
|
opal_show_help("help-mpi-common-cuda.txt", "cuEventDestroy failed",
|
|
true, result);
|
|
}
|
|
}
|
|
|
|
|
|
/*
|
|
* Put remote event on stream to ensure that the the start of the
|
|
* copy does not start until the completion of the event.
|
|
*/
|
|
void mca_common_wait_stream_synchronize(mca_mpool_common_cuda_reg_t *rget_reg)
|
|
{
|
|
CUipcEventHandle evtHandle;
|
|
CUevent event;
|
|
CUresult result;
|
|
|
|
memcpy(&evtHandle, rget_reg->evtHandle, sizeof(evtHandle));
|
|
CUDA_DUMP_EVTHANDLE((100, &evtHandle, "stream_synchronize"));
|
|
|
|
result = cuFunc.cuIpcOpenEventHandle(&event, evtHandle);
|
|
if (CUDA_SUCCESS != result){
|
|
opal_show_help("help-mpi-common-cuda.txt", "cuIpcOpenEventHandle failed",
|
|
true, result);
|
|
}
|
|
|
|
/* BEGIN of Workaround - There is a bug in CUDA 4.1 RC2 and earlier
|
|
* versions. Need to record an event on the stream, even though
|
|
* it is not used, to make sure we do not short circuit our way
|
|
* out of the cuStreamWaitEvent test.
|
|
*/
|
|
result = cuFunc.cuEventRecord(event, 0);
|
|
if (CUDA_SUCCESS != result) {
|
|
opal_show_help("help-mpi-common-cuda.txt", "cuEventRecord failed",
|
|
true, result);
|
|
}
|
|
/* END of Workaround */
|
|
|
|
result = cuFunc.cuStreamWaitEvent(0, event, 0);
|
|
if (CUDA_SUCCESS != result) {
|
|
opal_show_help("help-mpi-common-cuda.txt", "cuStreamWaitEvent failed",
|
|
true, result);
|
|
}
|
|
|
|
/* All done with this event. */
|
|
result = cuFunc.cuEventDestroy(event);
|
|
if (CUDA_SUCCESS != result) {
|
|
opal_show_help("help-mpi-common-cuda.txt", "cuEventDestroy failed",
|
|
true, result);
|
|
}
|
|
}
|
|
|
|
/*
|
|
* Start the asynchronous copy. Then record and save away an event that will
|
|
* be queried to indicate the copy has completed.
|
|
*/
|
|
int mca_common_cuda_memcpy(void *dst, void *src, size_t amount, char *msg,
|
|
struct mca_btl_base_descriptor_t *frag, int *done)
|
|
{
|
|
CUresult result;
|
|
int iter;
|
|
|
|
/* First make sure there is room to store the event. If not, then
|
|
* return an error. The error message will tell the user to try and
|
|
* run again, but with a larger array for storing events. */
|
|
if (cuda_event_ipc_num_used == cuda_event_max) {
|
|
opal_show_help("help-mpi-common-cuda.txt", "Out of cuEvent handles",
|
|
true, cuda_event_max, cuda_event_max+100, cuda_event_max+100);
|
|
return OMPI_ERR_OUT_OF_RESOURCE;
|
|
}
|
|
|
|
/* This is the standard way to run. Running with synchronous copies is available
|
|
* to measure the advantages of asynchronous copies. */
|
|
if (OPAL_LIKELY(mca_common_cuda_async)) {
|
|
result = cuFunc.cuMemcpyAsync((CUdeviceptr)dst, (CUdeviceptr)src, amount, ipcStream);
|
|
if (CUDA_SUCCESS != result) {
|
|
opal_show_help("help-mpi-common-cuda.txt", "cuMemcpyAsync failed",
|
|
true, dst, src, amount, result);
|
|
return OMPI_ERROR;
|
|
} else {
|
|
opal_output_verbose(20, mca_common_cuda_output,
|
|
"CUDA: cuMemcpyAsync passed: dst=%p, src=%p, size=%d",
|
|
dst, src, (int)amount);
|
|
}
|
|
result = cuFunc.cuEventRecord(cuda_event_ipc_array[cuda_event_ipc_first_avail], ipcStream);
|
|
if (CUDA_SUCCESS != result) {
|
|
opal_show_help("help-mpi-common-cuda.txt", "cuEventRecord failed",
|
|
true, result);
|
|
return OMPI_ERROR;
|
|
}
|
|
cuda_event_ipc_frag_array[cuda_event_ipc_first_avail] = frag;
|
|
|
|
/* Bump up the first available slot and number used by 1 */
|
|
cuda_event_ipc_first_avail++;
|
|
if (cuda_event_ipc_first_avail >= cuda_event_max) {
|
|
cuda_event_ipc_first_avail = 0;
|
|
}
|
|
cuda_event_ipc_num_used++;
|
|
|
|
*done = 0;
|
|
} else {
|
|
/* Mimic the async function so they use the same memcpy call. */
|
|
result = cuFunc.cuMemcpyAsync((CUdeviceptr)dst, (CUdeviceptr)src, amount, ipcStream);
|
|
if (CUDA_SUCCESS != result) {
|
|
opal_show_help("help-mpi-common-cuda.txt", "cuMemcpyAsync failed",
|
|
true, dst, src, amount, result);
|
|
return OMPI_ERROR;
|
|
} else {
|
|
opal_output_verbose(20, mca_common_cuda_output,
|
|
"CUDA: cuMemcpyAsync passed: dst=%p, src=%p, size=%d",
|
|
dst, src, (int)amount);
|
|
}
|
|
|
|
/* Record an event, then wait for it to complete with calls to cuEventQuery */
|
|
result = cuFunc.cuEventRecord(cuda_event_ipc_array[cuda_event_ipc_first_avail], ipcStream);
|
|
if (CUDA_SUCCESS != result) {
|
|
opal_show_help("help-mpi-common-cuda.txt", "cuEventRecord failed",
|
|
true, result);
|
|
return OMPI_ERROR;
|
|
}
|
|
|
|
cuda_event_ipc_frag_array[cuda_event_ipc_first_avail] = frag;
|
|
|
|
/* Bump up the first available slot and number used by 1 */
|
|
cuda_event_ipc_first_avail++;
|
|
if (cuda_event_ipc_first_avail >= cuda_event_max) {
|
|
cuda_event_ipc_first_avail = 0;
|
|
}
|
|
cuda_event_ipc_num_used++;
|
|
|
|
result = cuFunc.cuEventQuery(cuda_event_ipc_array[cuda_event_ipc_first_used]);
|
|
if ((CUDA_SUCCESS != result) && (CUDA_ERROR_NOT_READY != result)) {
|
|
opal_show_help("help-mpi-common-cuda.txt", "cuEventQuery failed",
|
|
true, result);
|
|
return OMPI_ERROR;
|
|
}
|
|
|
|
iter = 0;
|
|
while (CUDA_ERROR_NOT_READY == result) {
|
|
if (0 == (iter % 10)) {
|
|
opal_output(-1, "EVENT NOT DONE (iter=%d)", iter);
|
|
}
|
|
result = cuFunc.cuEventQuery(cuda_event_ipc_array[cuda_event_ipc_first_used]);
|
|
if ((CUDA_SUCCESS != result) && (CUDA_ERROR_NOT_READY != result)) {
|
|
opal_show_help("help-mpi-common-cuda.txt", "cuEventQuery failed",
|
|
true, result);
|
|
return OMPI_ERROR;
|
|
}
|
|
iter++;
|
|
}
|
|
|
|
--cuda_event_ipc_num_used;
|
|
++cuda_event_ipc_first_used;
|
|
if (cuda_event_ipc_first_used >= cuda_event_max) {
|
|
cuda_event_ipc_first_used = 0;
|
|
}
|
|
*done = 1;
|
|
}
|
|
return OMPI_SUCCESS;
|
|
}
|
|
|
|
/*
|
|
* Record an event and save the frag. This is called by the sending side and
|
|
* is used to queue an event when a htod copy has been initiated.
|
|
*/
|
|
int mca_common_cuda_record_dtoh_event(char *msg, struct mca_btl_base_descriptor_t *frag)
|
|
{
|
|
CUresult result;
|
|
|
|
/* First make sure there is room to store the event. If not, then
|
|
* return an error. The error message will tell the user to try and
|
|
* run again, but with a larger array for storing events. */
|
|
if (cuda_event_dtoh_num_used == cuda_event_max) {
|
|
opal_show_help("help-mpi-common-cuda.txt", "Out of cuEvent handles",
|
|
true, cuda_event_max, cuda_event_max+100, cuda_event_max+100);
|
|
return OMPI_ERR_OUT_OF_RESOURCE;
|
|
}
|
|
|
|
result = cuFunc.cuEventRecord(cuda_event_dtoh_array[cuda_event_dtoh_first_avail], dtohStream);
|
|
if (CUDA_SUCCESS != result) {
|
|
opal_show_help("help-mpi-common-cuda.txt", "cuEventRecord failed",
|
|
true, result);
|
|
return OMPI_ERROR;
|
|
}
|
|
cuda_event_dtoh_frag_array[cuda_event_dtoh_first_avail] = frag;
|
|
|
|
/* Bump up the first available slot and number used by 1 */
|
|
cuda_event_dtoh_first_avail++;
|
|
if (cuda_event_dtoh_first_avail >= cuda_event_max) {
|
|
cuda_event_dtoh_first_avail = 0;
|
|
}
|
|
cuda_event_dtoh_num_used++;
|
|
|
|
return OMPI_SUCCESS;
|
|
}
|
|
|
|
/*
|
|
* Record an event and save the frag. This is called by the receiving side and
|
|
* is used to queue an event when a dtoh copy has been initiated.
|
|
*/
|
|
int mca_common_cuda_record_htod_event(char *msg, struct mca_btl_base_descriptor_t *frag)
|
|
{
|
|
CUresult result;
|
|
|
|
/* First make sure there is room to store the event. If not, then
|
|
* return an error. The error message will tell the user to try and
|
|
* run again, but with a larger array for storing events. */
|
|
if (cuda_event_htod_num_used == cuda_event_max) {
|
|
opal_show_help("help-mpi-common-cuda.txt", "Out of cuEvent handles",
|
|
true, cuda_event_max, cuda_event_max+100, cuda_event_max+100);
|
|
return OMPI_ERR_OUT_OF_RESOURCE;
|
|
}
|
|
|
|
result = cuFunc.cuEventRecord(cuda_event_htod_array[cuda_event_htod_first_avail], htodStream);
|
|
if (CUDA_SUCCESS != result) {
|
|
opal_show_help("help-mpi-common-cuda.txt", "cuEventRecord failed",
|
|
true, result);
|
|
return OMPI_ERROR;
|
|
}
|
|
cuda_event_htod_frag_array[cuda_event_htod_first_avail] = frag;
|
|
|
|
/* Bump up the first available slot and number used by 1 */
|
|
cuda_event_htod_first_avail++;
|
|
if (cuda_event_htod_first_avail >= cuda_event_max) {
|
|
cuda_event_htod_first_avail = 0;
|
|
}
|
|
cuda_event_htod_num_used++;
|
|
|
|
return OMPI_SUCCESS;
|
|
}
|
|
|
|
/**
|
|
* Used to get the dtoh stream for initiating asynchronous copies.
|
|
*/
|
|
void *mca_common_cuda_get_dtoh_stream(void) {
|
|
return (void *)dtohStream;
|
|
}
|
|
|
|
/**
|
|
* Used to get the htod stream for initiating asynchronous copies.
|
|
*/
|
|
void *mca_common_cuda_get_htod_stream(void) {
|
|
return (void *)htodStream;
|
|
}
|
|
|
|
/*
|
|
* Function is called every time progress is called with the sm BTL. If there
|
|
* are outstanding events, check to see if one has completed. If so, hand
|
|
* back the fragment for further processing.
|
|
*/
|
|
int progress_one_cuda_ipc_event(struct mca_btl_base_descriptor_t **frag) {
|
|
CUresult result;
|
|
|
|
if (cuda_event_ipc_num_used > 0) {
|
|
opal_output_verbose(20, mca_common_cuda_output,
|
|
"CUDA: progress_one_cuda_ipc_event, outstanding_events=%d",
|
|
cuda_event_ipc_num_used);
|
|
|
|
result = cuFunc.cuEventQuery(cuda_event_ipc_array[cuda_event_ipc_first_used]);
|
|
|
|
/* We found an event that is not ready, so return. */
|
|
if (CUDA_ERROR_NOT_READY == result) {
|
|
opal_output_verbose(20, mca_common_cuda_output,
|
|
"CUDA: cuEventQuery returned CUDA_ERROR_NOT_READY");
|
|
*frag = NULL;
|
|
return 0;
|
|
} else if (CUDA_SUCCESS != result) {
|
|
opal_show_help("help-mpi-common-cuda.txt", "cuEventQuery failed",
|
|
true, result);
|
|
*frag = NULL;
|
|
return OMPI_ERROR;
|
|
}
|
|
|
|
*frag = cuda_event_ipc_frag_array[cuda_event_ipc_first_used];
|
|
opal_output_verbose(10, mca_common_cuda_output,
|
|
"CUDA: cuEventQuery returned %d", result);
|
|
|
|
/* Bump counters, loop around the circular buffer if necessary */
|
|
--cuda_event_ipc_num_used;
|
|
++cuda_event_ipc_first_used;
|
|
if (cuda_event_ipc_first_used >= cuda_event_max) {
|
|
cuda_event_ipc_first_used = 0;
|
|
}
|
|
/* A return value of 1 indicates an event completed and a frag was returned */
|
|
return 1;
|
|
}
|
|
return 0;
|
|
}
|
|
|
|
/**
|
|
* Progress any dtoh event completions.
|
|
*/
|
|
int progress_one_cuda_dtoh_event(struct mca_btl_base_descriptor_t **frag) {
|
|
CUresult result;
|
|
|
|
if (cuda_event_dtoh_num_used > 0) {
|
|
opal_output_verbose(20, mca_common_cuda_output,
|
|
"CUDA: progress_one_cuda_dtoh_event, outstanding_events=%d",
|
|
cuda_event_dtoh_num_used);
|
|
|
|
result = cuFunc.cuEventQuery(cuda_event_dtoh_array[cuda_event_dtoh_first_used]);
|
|
|
|
/* We found an event that is not ready, so return. */
|
|
if (CUDA_ERROR_NOT_READY == result) {
|
|
opal_output_verbose(20, mca_common_cuda_output,
|
|
"CUDA: cuEventQuery returned CUDA_ERROR_NOT_READY");
|
|
*frag = NULL;
|
|
return 0;
|
|
} else if (CUDA_SUCCESS != result) {
|
|
opal_show_help("help-mpi-common-cuda.txt", "cuEventQuery failed",
|
|
true, result);
|
|
*frag = NULL;
|
|
return OMPI_ERROR;
|
|
}
|
|
|
|
*frag = cuda_event_dtoh_frag_array[cuda_event_dtoh_first_used];
|
|
opal_output_verbose(10, mca_common_cuda_output,
|
|
"CUDA: cuEventQuery returned %d", result);
|
|
|
|
/* Bump counters, loop around the circular buffer if necessary */
|
|
--cuda_event_dtoh_num_used;
|
|
++cuda_event_dtoh_first_used;
|
|
if (cuda_event_dtoh_first_used >= cuda_event_max) {
|
|
cuda_event_dtoh_first_used = 0;
|
|
}
|
|
/* A return value of 1 indicates an event completed and a frag was returned */
|
|
return 1;
|
|
}
|
|
return 0;
|
|
}
|
|
|
|
/**
|
|
* Progress any dtoh event completions.
|
|
*/
|
|
int progress_one_cuda_htod_event(struct mca_btl_base_descriptor_t **frag) {
|
|
CUresult result;
|
|
|
|
if (cuda_event_htod_num_used > 0) {
|
|
opal_output_verbose(20, mca_common_cuda_output,
|
|
"CUDA: progress_one_cuda_htod_event, outstanding_events=%d",
|
|
cuda_event_htod_num_used);
|
|
|
|
result = cuFunc.cuEventQuery(cuda_event_htod_array[cuda_event_htod_first_used]);
|
|
|
|
/* We found an event that is not ready, so return. */
|
|
if (CUDA_ERROR_NOT_READY == result) {
|
|
opal_output_verbose(20, mca_common_cuda_output,
|
|
"CUDA: cuEventQuery returned CUDA_ERROR_NOT_READY");
|
|
*frag = NULL;
|
|
return 0;
|
|
} else if (CUDA_SUCCESS != result) {
|
|
opal_show_help("help-mpi-common-cuda.txt", "cuEventQuery failed",
|
|
true, result);
|
|
*frag = NULL;
|
|
return OMPI_ERROR;
|
|
}
|
|
|
|
*frag = cuda_event_htod_frag_array[cuda_event_htod_first_used];
|
|
opal_output_verbose(10, mca_common_cuda_output,
|
|
"CUDA: cuEventQuery returned %d", result);
|
|
|
|
/* Bump counters, loop around the circular buffer if necessary */
|
|
--cuda_event_htod_num_used;
|
|
++cuda_event_htod_first_used;
|
|
if (cuda_event_htod_first_used >= cuda_event_max) {
|
|
cuda_event_htod_first_used = 0;
|
|
}
|
|
/* A return value of 1 indicates an event completed and a frag was returned */
|
|
return 1;
|
|
}
|
|
return 0;
|
|
}
|
|
|
|
|
|
/**
|
|
* Need to make sure the handle we are retrieving from the cache is still
|
|
* valid. Compare the cached handle to the one received.
|
|
*/
|
|
int mca_common_cuda_memhandle_matches(mca_mpool_common_cuda_reg_t *new_reg,
|
|
mca_mpool_common_cuda_reg_t *old_reg)
|
|
{
|
|
|
|
if (0 == memcmp(new_reg->memHandle, old_reg->memHandle, sizeof(new_reg->memHandle))) {
|
|
return 1;
|
|
} else {
|
|
return 0;
|
|
}
|
|
|
|
}
|
|
|
|
/*
|
|
* Function to dump memory handle information. This is based on
|
|
* definitions from cuiinterprocess_private.h.
|
|
*/
|
|
static void cuda_dump_memhandle(int verbose, void *memHandle, char *str) {
|
|
|
|
struct InterprocessMemHandleInternal
|
|
{
|
|
/* The first two entries are the CUinterprocessCtxHandle */
|
|
int64_t ctxId; /* unique (within a process) id of the sharing context */
|
|
int pid; /* pid of sharing context */
|
|
|
|
int64_t size;
|
|
int64_t blocksize;
|
|
int64_t offset;
|
|
int gpuId;
|
|
int subDeviceIndex;
|
|
int64_t serial;
|
|
} memH;
|
|
|
|
if (NULL == str) {
|
|
str = "CUDA";
|
|
}
|
|
memcpy(&memH, memHandle, sizeof(memH));
|
|
opal_output_verbose(verbose, mca_common_cuda_output,
|
|
"%s:ctxId=%d, pid=%d, size=%d, blocksize=%d, offset=%d, gpuId=%d, "
|
|
"subDeviceIndex=%d, serial=%d",
|
|
str, (int)memH.ctxId, memH.pid, (int)memH.size, (int)memH.blocksize, (int)memH.offset,
|
|
memH.gpuId, memH.subDeviceIndex, (int)memH.serial);
|
|
}
|
|
|
|
/*
|
|
* Function to dump memory handle information. This is based on
|
|
* definitions from cuiinterprocess_private.h.
|
|
*/
|
|
static void cuda_dump_evthandle(int verbose, void *evtHandle, char *str) {
|
|
|
|
struct InterprocessEventHandleInternal
|
|
{
|
|
/* The first two entries are the CUinterprocessCtxHandle */
|
|
int64_t ctxId; /* unique (within a process) id of the sharing context */
|
|
int pid; /* pid of sharing context */
|
|
|
|
int pad; /* pad to match the structure */
|
|
int index;
|
|
} evtH;
|
|
|
|
if (NULL == str) {
|
|
str = "CUDA";
|
|
}
|
|
memcpy(&evtH, evtHandle, sizeof(evtH));
|
|
opal_output_verbose(verbose, mca_common_cuda_output,
|
|
"CUDA: %s:ctxId=%d, pid=%d, index=%d",
|
|
str, (int)evtH.ctxId, evtH.pid, (int)evtH.index);
|
|
}
|
|
|
|
|
|
/* Return microseconds of elapsed time. Microseconds are relevant when
|
|
* trying to understand the fixed overhead of the communication. Used
|
|
* when trying to time various functions.
|
|
*
|
|
* Cut and past the following to get timings where wanted.
|
|
*
|
|
* clock_gettime(CLOCK_MONOTONIC, &ts_start);
|
|
* FUNCTION OF INTEREST
|
|
* clock_gettime(CLOCK_MONOTONIC, &ts_end);
|
|
* accum = mydifftime(ts_start, ts_end);
|
|
* opal_output(0, "Function took %7.2f usecs\n", accum);
|
|
*
|
|
*/
|
|
#if CUDA_COMMON_TIMING
|
|
static float mydifftime(struct timespec ts_start, struct timespec ts_end) {
|
|
float seconds;
|
|
float microseconds;
|
|
float nanoseconds;
|
|
|
|
/* If we did not rollover the seconds clock, then we just take
|
|
* the difference between the nanoseconds clock for actual time */
|
|
if (0 == (ts_end.tv_sec - ts_start.tv_sec)) {
|
|
nanoseconds = (float)(ts_end.tv_nsec - ts_start.tv_nsec);
|
|
return nanoseconds / THOUSAND;
|
|
} else {
|
|
seconds = (float)(ts_end.tv_sec - ts_start.tv_sec);
|
|
|
|
/* Note that this value can be negative or positive
|
|
* which is fine. In the case that it is negative, it
|
|
* just gets subtracted from the difference which is what
|
|
* we want. */
|
|
nanoseconds = (float)(ts_end.tv_nsec - ts_start.tv_nsec);
|
|
microseconds = (seconds * MILLION) + (nanoseconds/THOUSAND);
|
|
return microseconds;
|
|
}
|
|
}
|
|
#endif /* CUDA_COMMON_TIMING */
|
|
|
|
#endif /* OMPI_CUDA_SUPPORT_41 */
|
|
|
|
/* Routines that get plugged into the opal datatype code */
|
|
static int mca_common_cuda_is_gpu_buffer(const void *pUserBuf)
|
|
{
|
|
int res;
|
|
CUmemorytype memType;
|
|
CUdeviceptr dbuf = (CUdeviceptr)pUserBuf;
|
|
|
|
res = cuFunc.cuPointerGetAttribute(&memType,
|
|
CU_POINTER_ATTRIBUTE_MEMORY_TYPE, dbuf);
|
|
if (res != CUDA_SUCCESS) {
|
|
/* If we cannot determine it is device pointer,
|
|
* just assume it is not. */
|
|
return 0;
|
|
} else if (memType == CU_MEMORYTYPE_HOST) {
|
|
/* Host memory, nothing to do here */
|
|
return 0;
|
|
}
|
|
/* Must be a device pointer */
|
|
assert(memType == CU_MEMORYTYPE_DEVICE);
|
|
return 1;
|
|
}
|
|
|
|
static int mca_common_cuda_cu_memcpy_async(void *dest, const void *src, size_t size,
|
|
opal_convertor_t* convertor)
|
|
{
|
|
return cuFunc.cuMemcpyAsync((CUdeviceptr)dest, (CUdeviceptr)src, size,
|
|
(CUstream)convertor->stream);
|
|
}
|
|
|
|
static int mca_common_cuda_cu_memcpy(void *dest, const void *src, size_t size)
|
|
{
|
|
return cuFunc.cuMemcpy((CUdeviceptr)dest, (CUdeviceptr)src, size);
|
|
}
|
|
|
|
static int mca_common_cuda_memmove(void *dest, void *src, size_t size)
|
|
{
|
|
CUdeviceptr tmp;
|
|
int res;
|
|
|
|
res = cuFunc.cuMemAlloc(&tmp,size);
|
|
res = cuFunc.cuMemcpy(tmp, (CUdeviceptr)src, size);
|
|
if(res != CUDA_SUCCESS){
|
|
opal_output(0, "CUDA: memmove-Error in cuMemcpy: res=%d, dest=%p, src=%p, size=%d",
|
|
res, (void *)tmp, src, (int)size);
|
|
return res;
|
|
}
|
|
res = cuFunc.cuMemcpy((CUdeviceptr)dest, tmp, size);
|
|
if(res != CUDA_SUCCESS){
|
|
opal_output(0, "CUDA: memmove-Error in cuMemcpy: res=%d, dest=%p, src=%p, size=%d",
|
|
res, dest, (void *)tmp, (int)size);
|
|
return res;
|
|
}
|
|
cuFunc.cuMemFree(tmp);
|
|
return 0;
|
|
}
|