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tools/cub-1.8.0/cub/util_device.cuh
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/****************************************************************************** * Copyright (c) 2011, Duane Merrill. All rights reserved. * Copyright (c) 2011-2018, NVIDIA CORPORATION. All rights reserved. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions are met: * * Redistributions of source code must retain the above copyright * notice, this list of conditions and the following disclaimer. * * Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in the * documentation and/or other materials provided with the distribution. * * Neither the name of the NVIDIA CORPORATION nor the * names of its contributors may be used to endorse or promote products * derived from this software without specific prior written permission. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE * DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY * DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND * ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * ******************************************************************************/ /** * \file * Properties of a given CUDA device and the corresponding PTX bundle */ #pragma once #include "util_type.cuh" #include "util_arch.cuh" #include "util_debug.cuh" #include "util_namespace.cuh" #include "util_macro.cuh" /// Optional outer namespace(s) CUB_NS_PREFIX /// CUB namespace namespace cub { /** * \addtogroup UtilMgmt * @{ */ #ifndef DOXYGEN_SHOULD_SKIP_THIS // Do not document /** * Alias temporaries to externally-allocated device storage (or simply return the amount of storage needed). */ template <int ALLOCATIONS> __host__ __device__ __forceinline__ cudaError_t AliasTemporaries( void *d_temp_storage, ///< [in] %Device-accessible allocation of temporary storage. When NULL, the required allocation size is written to \p temp_storage_bytes and no work is done. size_t &temp_storage_bytes, ///< [in,out] Size in bytes of \t d_temp_storage allocation void* (&allocations)[ALLOCATIONS], ///< [in,out] Pointers to device allocations needed size_t (&allocation_sizes)[ALLOCATIONS]) ///< [in] Sizes in bytes of device allocations needed { const int ALIGN_BYTES = 256; const int ALIGN_MASK = ~(ALIGN_BYTES - 1); // Compute exclusive prefix sum over allocation requests size_t allocation_offsets[ALLOCATIONS]; size_t bytes_needed = 0; for (int i = 0; i < ALLOCATIONS; ++i) { size_t allocation_bytes = (allocation_sizes[i] + ALIGN_BYTES - 1) & ALIGN_MASK; allocation_offsets[i] = bytes_needed; bytes_needed += allocation_bytes; } bytes_needed += ALIGN_BYTES - 1; // Check if the caller is simply requesting the size of the storage allocation if (!d_temp_storage) { temp_storage_bytes = bytes_needed; return cudaSuccess; } // Check if enough storage provided if (temp_storage_bytes < bytes_needed) { return CubDebug(cudaErrorInvalidValue); } // Alias d_temp_storage = (void *) ((size_t(d_temp_storage) + ALIGN_BYTES - 1) & ALIGN_MASK); for (int i = 0; i < ALLOCATIONS; ++i) { allocations[i] = static_cast<char*>(d_temp_storage) + allocation_offsets[i]; } return cudaSuccess; } /** * Empty kernel for querying PTX manifest metadata (e.g., version) for the current device */ template <typename T> __global__ void EmptyKernel(void) { } #endif // DOXYGEN_SHOULD_SKIP_THIS /** * \brief Retrieves the PTX version that will be used on the current device (major * 100 + minor * 10) */ CUB_RUNTIME_FUNCTION __forceinline__ cudaError_t PtxVersion(int &ptx_version) { struct Dummy { /// Type definition of the EmptyKernel kernel entry point typedef void (*EmptyKernelPtr)(); /// Force EmptyKernel<void> to be generated if this class is used CUB_RUNTIME_FUNCTION __forceinline__ EmptyKernelPtr Empty() { return EmptyKernel<void>; } }; #ifndef CUB_RUNTIME_ENABLED (void)ptx_version; // CUDA API calls not supported from this device return cudaErrorInvalidConfiguration; #elif (CUB_PTX_ARCH > 0) ptx_version = CUB_PTX_ARCH; return cudaSuccess; #else cudaError_t error = cudaSuccess; do { cudaFuncAttributes empty_kernel_attrs; if (CubDebug(error = cudaFuncGetAttributes(&empty_kernel_attrs, EmptyKernel<void>))) break; ptx_version = empty_kernel_attrs.ptxVersion * 10; } while (0); return error; #endif } /** * \brief Retrieves the SM version (major * 100 + minor * 10) */ CUB_RUNTIME_FUNCTION __forceinline__ cudaError_t SmVersion(int &sm_version, int device_ordinal) { #ifndef CUB_RUNTIME_ENABLED (void)sm_version; (void)device_ordinal; // CUDA API calls not supported from this device return cudaErrorInvalidConfiguration; #else cudaError_t error = cudaSuccess; do { // Fill in SM version int major, minor; if (CubDebug(error = cudaDeviceGetAttribute(&major, cudaDevAttrComputeCapabilityMajor, device_ordinal))) break; if (CubDebug(error = cudaDeviceGetAttribute(&minor, cudaDevAttrComputeCapabilityMinor, device_ordinal))) break; sm_version = major * 100 + minor * 10; } while (0); return error; #endif } #ifndef DOXYGEN_SHOULD_SKIP_THIS // Do not document /** * Synchronize the stream if specified */ CUB_RUNTIME_FUNCTION __forceinline__ static cudaError_t SyncStream(cudaStream_t stream) { #if (CUB_PTX_ARCH == 0) return cudaStreamSynchronize(stream); #else (void)stream; // Device can't yet sync on a specific stream return cudaDeviceSynchronize(); #endif } /** * \brief Computes maximum SM occupancy in thread blocks for executing the given kernel function pointer \p kernel_ptr on the current device with \p block_threads per thread block. * * \par Snippet * The code snippet below illustrates the use of the MaxSmOccupancy function. * \par * \code * #include <cub/cub.cuh> // or equivalently <cub/util_device.cuh> * * template <typename T> * __global__ void ExampleKernel() * { * // Allocate shared memory for BlockScan * __shared__ volatile T buffer[4096]; * * ... * } * * ... * * // Determine SM occupancy for ExampleKernel specialized for unsigned char * int max_sm_occupancy; * MaxSmOccupancy(max_sm_occupancy, ExampleKernel<unsigned char>, 64); * * // max_sm_occupancy <-- 4 on SM10 * // max_sm_occupancy <-- 8 on SM20 * // max_sm_occupancy <-- 12 on SM35 * * \endcode * */ template <typename KernelPtr> CUB_RUNTIME_FUNCTION __forceinline__ cudaError_t MaxSmOccupancy( int &max_sm_occupancy, ///< [out] maximum number of thread blocks that can reside on a single SM KernelPtr kernel_ptr, ///< [in] Kernel pointer for which to compute SM occupancy int block_threads, ///< [in] Number of threads per thread block int dynamic_smem_bytes = 0) { #ifndef CUB_RUNTIME_ENABLED (void)dynamic_smem_bytes; (void)block_threads; (void)kernel_ptr; (void)max_sm_occupancy; // CUDA API calls not supported from this device return CubDebug(cudaErrorInvalidConfiguration); #else return cudaOccupancyMaxActiveBlocksPerMultiprocessor ( &max_sm_occupancy, kernel_ptr, block_threads, dynamic_smem_bytes); #endif // CUB_RUNTIME_ENABLED } /****************************************************************************** * Policy management ******************************************************************************/ /** * Kernel dispatch configuration */ struct KernelConfig { int block_threads; int items_per_thread; int tile_size; int sm_occupancy; CUB_RUNTIME_FUNCTION __forceinline__ KernelConfig() : block_threads(0), items_per_thread(0), tile_size(0), sm_occupancy(0) {} template <typename AgentPolicyT, typename KernelPtrT> CUB_RUNTIME_FUNCTION __forceinline__ cudaError_t Init(KernelPtrT kernel_ptr) { block_threads = AgentPolicyT::BLOCK_THREADS; items_per_thread = AgentPolicyT::ITEMS_PER_THREAD; tile_size = block_threads * items_per_thread; cudaError_t retval = MaxSmOccupancy(sm_occupancy, kernel_ptr, block_threads); return retval; } }; /// Helper for dispatching into a policy chain template <int PTX_VERSION, typename PolicyT, typename PrevPolicyT> struct ChainedPolicy { /// The policy for the active compiler pass typedef typename If<(CUB_PTX_ARCH < PTX_VERSION), typename PrevPolicyT::ActivePolicy, PolicyT>::Type ActivePolicy; /// Specializes and dispatches op in accordance to the first policy in the chain of adequate PTX version template <typename FunctorT> CUB_RUNTIME_FUNCTION __forceinline__ static cudaError_t Invoke(int ptx_version, FunctorT &op) { if (ptx_version < PTX_VERSION) { return PrevPolicyT::Invoke(ptx_version, op); } return op.template Invoke<PolicyT>(); } }; /// Helper for dispatching into a policy chain (end-of-chain specialization) template <int PTX_VERSION, typename PolicyT> struct ChainedPolicy<PTX_VERSION, PolicyT, PolicyT> { /// The policy for the active compiler pass typedef PolicyT ActivePolicy; /// Specializes and dispatches op in accordance to the first policy in the chain of adequate PTX version template <typename FunctorT> CUB_RUNTIME_FUNCTION __forceinline__ static cudaError_t Invoke(int /*ptx_version*/, FunctorT &op) { return op.template Invoke<PolicyT>(); } }; #endif // Do not document /** @} */ // end group UtilMgmt } // CUB namespace CUB_NS_POSTFIX // Optional outer namespace(s) |