/****************************************************************************** * 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 * The cub::BlockShuffle class provides [collective](index.html#sec0) methods for shuffling * data partitioned across a CUDA thread block. */ #pragma once #include #if defined(_CCCL_IMPLICIT_SYSTEM_HEADER_GCC) # pragma GCC system_header #elif defined(_CCCL_IMPLICIT_SYSTEM_HEADER_CLANG) # pragma clang system_header #elif defined(_CCCL_IMPLICIT_SYSTEM_HEADER_MSVC) # pragma system_header #endif // no system header #include #include CUB_NAMESPACE_BEGIN /** * @brief The BlockShuffle class provides [collective](index.html#sec0) * methods for shuffling data partitioned across a CUDA thread block. * * @ingroup BlockModule * * @tparam T * The data type to be exchanged. * * @tparam BLOCK_DIM_X * The thread block length in threads along the X dimension * * @tparam BLOCK_DIM_Y * [optional] The thread block length in threads along the Y dimension (default: 1) * * @tparam BLOCK_DIM_Z * [optional] The thread block length in threads along the Z dimension (default: 1) * * @tparam LEGACY_PTX_ARCH * [optional] Unused. * * @par Overview * It is commonplace for blocks of threads to rearrange data items between * threads. The BlockShuffle abstraction allows threads to efficiently shift items * either (a) up to their successor or (b) down to their predecessor. * */ template < typename T, int BLOCK_DIM_X, int BLOCK_DIM_Y = 1, int BLOCK_DIM_Z = 1, int LEGACY_PTX_ARCH = 0> class BlockShuffle { private: /****************************************************************************** * Constants ******************************************************************************/ enum { BLOCK_THREADS = BLOCK_DIM_X * BLOCK_DIM_Y * BLOCK_DIM_Z, LOG_WARP_THREADS = CUB_LOG_WARP_THREADS(0), WARP_THREADS = 1 << LOG_WARP_THREADS, WARPS = (BLOCK_THREADS + WARP_THREADS - 1) / WARP_THREADS, }; /****************************************************************************** * Type definitions ******************************************************************************/ /// Shared memory storage layout type (last element from each thread's input) typedef T _TempStorage[BLOCK_THREADS]; public: /// \smemstorage{BlockShuffle} struct TempStorage : Uninitialized<_TempStorage> {}; private: /****************************************************************************** * Thread fields ******************************************************************************/ /// Shared storage reference _TempStorage &temp_storage; /// Linear thread-id unsigned int linear_tid; /****************************************************************************** * Utility methods ******************************************************************************/ /// Internal storage allocator __device__ __forceinline__ _TempStorage& PrivateStorage() { __shared__ _TempStorage private_storage; return private_storage; } public: /******************************************************************//** * @name Collective constructors *********************************************************************/ //@{ /** * @brief Collective constructor using a private static allocation of * shared memory as temporary storage. */ __device__ __forceinline__ BlockShuffle() : temp_storage(PrivateStorage()), linear_tid(RowMajorTid(BLOCK_DIM_X, BLOCK_DIM_Y, BLOCK_DIM_Z)) {} /** * @brief Collective constructor using the specified memory allocation * as temporary storage. * * @param[in] temp_storage * Reference to memory allocation having layout type TempStorage */ __device__ __forceinline__ BlockShuffle(TempStorage &temp_storage) : temp_storage(temp_storage.Alias()) , linear_tid(RowMajorTid(BLOCK_DIM_X, BLOCK_DIM_Y, BLOCK_DIM_Z)) {} //@} end member group /******************************************************************//** * @name Shuffle movement *********************************************************************/ //@{ /** * @brief Each threadi obtains the @p input provided by * threadi+distance. * The offset @p distance may be negative. * * @par * - @smemreuse * * @param[in] input * The input item from the calling thread (threadi) * * @param[out] output * The @p input item from the successor (or predecessor) thread * threadi+distance (may be aliased to @p input). * This value is only updated for for threadi when * 0 <= (i + \p distance) < BLOCK_THREADS-1 * * @param[in] distance * Offset distance (may be negative) */ __device__ __forceinline__ void Offset(T input, T &output, int distance = 1) { temp_storage[linear_tid] = input; CTA_SYNC(); const int offset_tid = static_cast(linear_tid) + distance; if ((offset_tid >= 0) && (offset_tid < BLOCK_THREADS)) { output = temp_storage[static_cast(offset_tid)]; } } /** * @brief Each threadi obtains the @p input * provided by threadi+distance. * * @par * - @smemreuse * * @param[in] input * The calling thread's input item * * @param[out] output * The @p input item from thread * thread(i+distance>)%BLOCK_THREADS * (may be aliased to @p input). This value is not updated for * threadBLOCK_THREADS-1 * * @param[in] distance * Offset distance (0 < @p distance < BLOCK_THREADS) */ __device__ __forceinline__ void Rotate(T input, T &output, unsigned int distance = 1) { temp_storage[linear_tid] = input; CTA_SYNC(); unsigned int offset = linear_tid + distance; if (offset >= BLOCK_THREADS) offset -= BLOCK_THREADS; output = temp_storage[offset]; } /** * @brief The thread block rotates its * [blocked arrangement](index.html#sec5sec3) of * @p input items, shifting it up by one item. * * @par * - @blocked * - @granularity * - @smemreuse * * @param[in] input * The calling thread's input items * * @param[out] prev * The corresponding predecessor items (may be aliased to @p input). * The item @p prev[0] is not updated for thread0. */ template __device__ __forceinline__ void Up(T (&input)[ITEMS_PER_THREAD], T (&prev)[ITEMS_PER_THREAD]) { temp_storage[linear_tid] = input[ITEMS_PER_THREAD - 1]; CTA_SYNC(); #pragma unroll for (int ITEM = ITEMS_PER_THREAD - 1; ITEM > 0; --ITEM) prev[ITEM] = input[ITEM - 1]; if (linear_tid > 0) prev[0] = temp_storage[linear_tid - 1]; } /** * \brief The thread block rotates its [blocked arrangement](index.html#sec5sec3) of \p input items, shifting it up by one item. All threads receive the \p input provided by threadBLOCK_THREADS-1. * * \par * - \blocked * - \granularity * - \smemreuse */ template __device__ __forceinline__ void Up( T (&input)[ITEMS_PER_THREAD], ///< [in] The calling thread's input items T (&prev)[ITEMS_PER_THREAD], ///< [out] The corresponding predecessor items (may be aliased to \p input). The item \p prev[0] is not updated for thread0. T &block_suffix) ///< [out] The item \p input[ITEMS_PER_THREAD-1] from threadBLOCK_THREADS-1, provided to all threads { Up(input, prev); block_suffix = temp_storage[BLOCK_THREADS - 1]; } /** * @brief The thread block rotates its * [blocked arrangement](index.html#sec5sec3) of * @p input items, shifting it down by one item. * * @par * - @blocked * - @granularity * - @smemreuse * * @param[in] input * The calling thread's input items * * @param[out] prev * The corresponding predecessor items (may be aliased to @p input). * The value @p prev[0] is not updated for threadBLOCK_THREADS-1. */ template __device__ __forceinline__ void Down(T (&input)[ITEMS_PER_THREAD], T (&prev)[ITEMS_PER_THREAD]) { temp_storage[linear_tid] = input[0]; CTA_SYNC(); #pragma unroll for (int ITEM = 0; ITEM < ITEMS_PER_THREAD - 1; ITEM++) prev[ITEM] = input[ITEM + 1]; if (linear_tid < BLOCK_THREADS - 1) prev[ITEMS_PER_THREAD - 1] = temp_storage[linear_tid + 1]; } /** * @brief The thread block rotates its * [blocked arrangement](index.html#sec5sec3) of input items, * shifting it down by one item. All threads receive @p input[0] * provided by thread0. * * @par * - @blocked * - @granularity * - @smemreuse * * @param[in] input * The calling thread's input items * * @param[out] prev * The corresponding predecessor items (may be aliased to @p input). * The value @p prev[0] is not updated for threadBLOCK_THREADS-1. * * @param[out] block_prefix * The item @p input[0] from thread0, provided to all threads */ template __device__ __forceinline__ void Down(T (&input)[ITEMS_PER_THREAD], T (&prev)[ITEMS_PER_THREAD], T &block_prefix) { Down(input, prev); block_prefix = temp_storage[0]; } //@} end member group }; CUB_NAMESPACE_END