*
* Copyright (c) 1991-2000, University of Groningen, The Netherlands.
* Copyright (c) 2001-2010, The GROMACS development team.
- * Copyright (c) 2012,2013,2014,2015,2016,2017,2018, by the GROMACS development team, led by
+ * Copyright (c) 2012,2013,2014,2015,2016 by the GROMACS development team.
+ * Copyright (c) 2017,2018,2019,2020,2021, by the GROMACS development team, led by
* Mark Abraham, David van der Spoel, Berk Hess, and Erik Lindahl,
* and including many others, as listed in the AUTHORS file in the
* top-level source directory and at http://www.gromacs.org.
#include "gromacs/gpu_utils/gpu_macros.h"
#include "gromacs/utility/basedefinitions.h"
-struct gmx_device_info_t;
-struct gmx_gpu_info_t;
-
namespace gmx
{
class MDLogger;
}
//! Enum which is only used to describe transfer calls at the moment
-enum class GpuApiCallBehavior
+enum class GpuApiCallBehavior : int
{
+ //! Synchronous
Sync,
- Async
+ //! Asynchronous
+ Async,
+ //! Size of the enumeration
+ Count
};
+//! String corresponding to GPU API call behavior
+const char* enumValueToString(GpuApiCallBehavior enumValue);
+
//! Types of actions associated to waiting or checking the completion of GPU tasks
enum class GpuTaskCompletion
{
Check /*<< Only check whether the task has completed */
};
-/*! \brief Return whether GPUs can be detected
- *
- * Returns true when this is a build of \Gromacs configured to support
- * GPU usage, and a valid device driver, ICD, and/or runtime was detected.
- *
- * This function is not intended to be called from build
- * configurations that do not support GPUs, and there will be no
- * descriptive message in that case.
- *
- * \param[out] errorMessage When returning false on a build configured with
- * GPU support and non-nullptr was passed,
- * the string contains a descriptive message about
- * why GPUs cannot be detected.
- *
- * Does not throw. */
-GPU_FUNC_QUALIFIER
-bool canDetectGpus(std::string *GPU_FUNC_ARGUMENT(errorMessage)) GPU_FUNC_TERM_WITH_RETURN(false);
-
-/*! \brief Find all GPUs in the system.
- *
- * Will detect every GPU supported by the device driver in use. Must
- * only be called if canDetectGpus() has returned true. This routine
- * also checks for the compatibility of each and fill the
- * gpu_info->gpu_dev array with the required information on each the
- * device: ID, device properties, status.
- *
- * Note that this function leaves the GPU runtime API error state clean;
- * this is implemented ATM in the CUDA flavor.
- * TODO: check if errors do propagate in OpenCL as they do in CUDA and
- * whether there is a mechanism to "clear" them.
- *
- * \param[in] gpu_info pointer to structure holding GPU information.
- *
- * \throws InternalError if a GPU API returns an unexpected failure (because
- * the call to canDetectGpus() should always prevent this occuring)
- */
-GPU_FUNC_QUALIFIER
-void findGpus(gmx_gpu_info_t *GPU_FUNC_ARGUMENT(gpu_info)) GPU_FUNC_TERM
-
-/*! \brief Return a container of the detected GPUs that are compatible.
- *
- * This function filters the result of the detection for compatible
- * GPUs, based on the previously run compatibility tests.
- *
- * \param[in] gpu_info Information detected about GPUs, including compatibility.
- * \return vector of IDs of GPUs already recorded as compatible */
-std::vector<int> getCompatibleGpus(const gmx_gpu_info_t &gpu_info);
-
-/*! \brief Return a string describing how compatible the GPU with given \c index is.
- *
- * \param[in] gpu_info Information about detected GPUs
- * \param[in] index index of GPU to ask about
- * \returns A null-terminated C string describing the compatibility status, useful for error messages.
- */
-const char *getGpuCompatibilityDescription(const gmx_gpu_info_t &gpu_info,
- int index);
-
-/*! \brief Frees the gpu_dev and dev_use array fields of \p gpu_info.
- *
- * \param[in] gpu_info pointer to structure holding GPU information
- */
-void free_gpu_info(const gmx_gpu_info_t *gpu_info);
-
-/*! \brief Initializes the GPU described by \c deviceInfo.
- *
- * TODO Doxygen complains about these - probably a Doxygen bug, since
- * the patterns here are the same as elsewhere in this header.
- *
- * param[in] mdlog log file to write to
- * \param[inout] deviceInfo device info of the GPU to initialize
- *
- * Issues a fatal error for any critical errors that occur during
- * initialization.
- */
-GPU_FUNC_QUALIFIER
-void init_gpu(const gmx::MDLogger &GPU_FUNC_ARGUMENT(mdlog),
- gmx_device_info_t *GPU_FUNC_ARGUMENT(deviceInfo)) GPU_FUNC_TERM
-
-/*! \brief Frees up the CUDA GPU used by the active context at the time of calling.
- *
- * If \c deviceInfo is nullptr, then it is understood that no device
- * was selected so no context is active to be freed. Otherwise, the
- * context is explicitly destroyed and therefore all data uploaded to
- * the GPU is lost. This must only be called when none of this data is
- * required anymore, because subsequent attempts to free memory
- * associated with the context will otherwise fail.
- *
- * Calls gmx_warning upon errors.
- *
- * \param[in] deviceInfo device info of the GPU to clean up for
- *
- * \returns true if no error occurs during the freeing.
- */
-CUDA_FUNC_QUALIFIER
-void free_gpu(const gmx_device_info_t *CUDA_FUNC_ARGUMENT(deviceInfo)) CUDA_FUNC_TERM
-
-/*! \brief Return a pointer to the device info for \c deviceId
- *
- * \param[in] gpu_info GPU info of all detected devices in the system.
- * \param[in] deviceId ID for the GPU device requested.
- *
- * \returns Pointer to the device info for \c deviceId.
- */
-GPU_FUNC_QUALIFIER
-gmx_device_info_t *getDeviceInfo(const gmx_gpu_info_t &GPU_FUNC_ARGUMENT(gpu_info),
- int GPU_FUNC_ARGUMENT(deviceId)) GPU_FUNC_TERM_WITH_RETURN(nullptr)
-
-/*! \brief Returns the device ID of the CUDA GPU currently in use.
- *
- * The GPU used is the one that is active at the time of the call in the active context.
- *
- * \returns device ID of the GPU in use at the time of the call
- */
-CUDA_FUNC_QUALIFIER
-int get_current_cuda_gpu_device_id(void) CUDA_FUNC_TERM_WITH_RETURN(-1)
-
-/*! \brief Formats and returns a device information string for a given GPU.
- *
- * Given an index *directly* into the array of available GPUs (gpu_dev)
- * returns a formatted info string for the respective GPU which includes
- * ID, name, compute capability, and detection status.
- *
- * \param[out] s pointer to output string (has to be allocated externally)
- * \param[in] gpu_info Information about detected GPUs
- * \param[in] index an index *directly* into the array of available GPUs
- */
-GPU_FUNC_QUALIFIER
-void get_gpu_device_info_string(char *GPU_FUNC_ARGUMENT(s),
- const gmx_gpu_info_t &GPU_FUNC_ARGUMENT(gpu_info),
- int GPU_FUNC_ARGUMENT(index)) GPU_FUNC_TERM
-
-/*! \brief Returns the size of the gpu_dev_info struct.
- *
- * The size of gpu_dev_info can be used for allocation and communication.
- *
- * \returns size in bytes of gpu_dev_info
- */
-GPU_FUNC_QUALIFIER
-size_t sizeof_gpu_dev_info() GPU_FUNC_TERM_WITH_RETURN(0)
-
-/*! \brief Returns a pointer *ptr to page-locked memory of size nbytes.
- *
- * The allocated memory is suitable to be used for data transfers between host
- * and GPU.
- * Error handling should be done within this function.
- */
-typedef void gmx_host_alloc_t (void **ptr, size_t nbytes);
-
-/*! \brief Frees page-locked memory pointed to by *ptr.
- *
- * NULL should not be passed to this function.
- */
-typedef void gmx_host_free_t (void *ptr);
-
-/*! \brief Set page-locked memory allocation functions used by the GPU host. */
-void gpu_set_host_malloc_and_free(bool bUseGpuKernels,
- gmx_host_alloc_t **nb_alloc,
- gmx_host_free_t **nb_free);
-
-//! Get status of device with specified index
-int gpu_info_get_stat(const gmx_gpu_info_t &info, int index);
-
/*! \brief Starts the GPU profiler if mdrun is being profiled.
*
* When a profiler run is in progress (based on the presence of the NVPROF_ID
* Note that this is implemented only for the CUDA API.
*/
CUDA_FUNC_QUALIFIER
-void startGpuProfiler(void) CUDA_FUNC_TERM
+void startGpuProfiler() CUDA_FUNC_TERM;
/*! \brief Resets the GPU profiler if mdrun is being profiled.
* Note that this is implemented only for the CUDA API.
*/
CUDA_FUNC_QUALIFIER
-void resetGpuProfiler(void) CUDA_FUNC_TERM
+void resetGpuProfiler() CUDA_FUNC_TERM;
/*! \brief Stops the CUDA profiler if mdrun is being profiled.
* Note that this is implemented only for the CUDA API.
*/
CUDA_FUNC_QUALIFIER
-void stopGpuProfiler(void) CUDA_FUNC_TERM
+void stopGpuProfiler() CUDA_FUNC_TERM;
//! Tells whether the host buffer was pinned for non-blocking transfers. Only implemented for CUDA.
CUDA_FUNC_QUALIFIER
-bool isHostMemoryPinned(const void *CUDA_FUNC_ARGUMENT(h_ptr)) CUDA_FUNC_TERM_WITH_RETURN(false)
+bool isHostMemoryPinned(const void* CUDA_FUNC_ARGUMENT(h_ptr)) CUDA_FUNC_TERM_WITH_RETURN(false);
+
+/*! \brief Enable peer access between GPUs where supported
+ * \param[in] gpuIdsToUse List of GPU IDs in use
+ * \param[in] mdlog Logger object
+ */
+CUDA_FUNC_QUALIFIER
+void setupGpuDevicePeerAccess(const std::vector<int>& CUDA_FUNC_ARGUMENT(gpuIdsToUse),
+ const gmx::MDLogger& CUDA_FUNC_ARGUMENT(mdlog)) CUDA_FUNC_TERM;
+
+/*! \brief Check the platform-defaults and environment variable to decide whether GPU timings
+ * should be enabled.
+ *
+ * Currently, timings are enabled for OpenCL, but disabled for CUDA and SYCL. This can be overridden
+ * by \c GMX_ENABLE_GPU_TIMING and \c GMX_DISABLE_GPU_TIMING environment variables.
+ */
+bool decideGpuTimingsUsage();
#endif
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