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Merge pull request #359 from elstehle/feature/device-batch-memcpy
Adds DeviceBatchMemcpy algorithm and tests
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| /****************************************************************************** | ||
| * Copyright (c) 2011-2022, 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. | ||
| * | ||
| ******************************************************************************/ | ||
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| /** | ||
| * \file | ||
| * cub::DeviceMemcpy provides device-wide, parallel operations for copying data. | ||
| */ | ||
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| #pragma once | ||
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| #include <cub/config.cuh> | ||
| #include <cub/device/dispatch/dispatch_batch_memcpy.cuh> | ||
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| #include <cstdint> | ||
| #include <type_traits> | ||
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| CUB_NAMESPACE_BEGIN | ||
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| /** | ||
| * @brief cub::DeviceMemcpy provides device-wide, parallel operations for copying data. | ||
| * \ingroup SingleModule | ||
| */ | ||
| struct DeviceMemcpy | ||
| { | ||
| /** | ||
| * @brief Copies data from a batch of given source buffers to their corresponding destination | ||
| * buffer. | ||
| * @note If any input buffer aliases memory from any output buffer the behavior is undefined. If | ||
| * any output buffer aliases memory of another output buffer the behavior is undefined. Input | ||
| * buffers can alias one another. | ||
| * | ||
| * @par Snippet | ||
| * The code snippet below illustrates usage of DeviceMemcpy::Batched for mutating strings withing | ||
| * a single string buffer. | ||
| * @par | ||
| * @code | ||
| * struct GetPtrToStringItem | ||
| * { | ||
| * __host__ __device__ __forceinline__ void *operator()(uint32_t index) | ||
| * { | ||
| * return &d_string_data_in[d_string_offsets[index]]; | ||
| * } | ||
| * char *d_string_data_in; | ||
| * uint32_t *d_string_offsets; | ||
| * }; | ||
| * | ||
| * struct GetStringItemSize | ||
| * { | ||
| * __host__ __device__ __forceinline__ uint32_t operator()(uint32_t index) | ||
| * { | ||
| * return d_string_offsets[index + 1] - d_string_offsets[index]; | ||
| * } | ||
| * uint32_t *d_string_offsets; | ||
| * }; | ||
| * | ||
| * uint32_t num_strings = 5; | ||
| * char *d_string_data_in; // e.g., "TomatoesBananasApplesOrangesGrapes" | ||
| * char *d_string_data_out; // e.g., " ... " | ||
| * uint32_t *d_string_offsets_old; // e.g., [0, 8, 15, 21, 28, 34] | ||
| * uint32_t *d_string_offsets_new; // e.g., [0, 6, 13, 19, 26, 34] | ||
| * uint32_t *d_gather_index; // e.g., [2, 1, 4, 3, 0] | ||
| * | ||
| * // Initialize an iterator that returns d_gather_index[i] when the i-th item is dereferenced | ||
| * auto gather_iterator = thrust::make_permutation_iterator(thrust::make_counting_iterator(0), | ||
| * d_gather_index); | ||
| * | ||
| * // Returns pointers to the input buffer for each string | ||
| * auto str_ptrs_in = thrust::make_transform_iterator(gather_iterator, | ||
| * GetPtrToStringItem{d_string_data_in, | ||
| * d_string_offsets_old}); | ||
| * | ||
| * // Returns the string size of the i-th string | ||
| * auto str_sizes = thrust::make_transform_iterator(gather_iterator, | ||
| * GetStringItemSize{d_string_offsets_old}); | ||
| * | ||
| * // Returns pointers to the output buffer for each string | ||
| * auto str_ptrs_out = thrust::make_transform_iterator(thrust::make_counting_iterator(0), | ||
| * GetPtrToStringItem{d_string_data_out, | ||
| * d_string_offsets_new}); | ||
| * | ||
| * // Determine temporary device storage requirements | ||
| * void *d_temp_storage = nullptr; | ||
| * size_t temp_storage_bytes = 0; | ||
| * cub::DeviceMemcpy::Batched(d_temp_storage, temp_storage_bytes, str_ptrs_in, str_ptrs_out, | ||
| * str_sizes, num_strings); | ||
| * | ||
| * // Allocate temporary storage | ||
| * cudaMalloc(&d_temp_storage, temp_storage_bytes); | ||
| * | ||
| * // Run batched copy algorithm (used to permute strings) | ||
| * cub::DeviceMemcpy::Batched(d_temp_storage, temp_storage_bytes, str_ptrs_in, str_ptrs_out, | ||
| * str_sizes, num_strings); | ||
| * | ||
| * // d_string_data_out <-- "ApplesBananasGrapesOrangesTomatoe" | ||
| * @endcode | ||
| * @tparam InputBufferIt <b>[inferred]</b> Device-accessible random-access input iterator type | ||
| * providing the pointers to the source memory buffers | ||
| * @tparam OutputBufferIt <b>[inferred]</b> Device-accessible random-access input iterator type | ||
| * providing the pointers to the destination memory buffers | ||
| * @tparam BufferSizeIteratorT <b>[inferred]</b> Device-accessible random-access input iterator | ||
| * type providing the number of bytes to be copied for each pair of buffers | ||
| * @param 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. | ||
| * @param temp_storage_bytes [in,out] Reference to size in bytes of \p d_temp_storage allocation | ||
| * @param input_buffer_it [in] Device-accessible iterator providing the pointers to the source | ||
| * memory buffers | ||
| * @param output_buffer_it [in] Device-accessible iterator providing the pointers to the | ||
| * destination memory buffers | ||
| * @param buffer_sizes [in] Device-accessible iterator providing the number of bytes to be copied | ||
| * for each pair of buffers | ||
| * @param num_buffers [in] The total number of buffer pairs | ||
| * @param stream [in] <b>[optional]</b> CUDA stream to launch kernels within. Default is | ||
| * stream<sub>0</sub>. | ||
| */ | ||
| template <typename InputBufferIt, typename OutputBufferIt, typename BufferSizeIteratorT> | ||
| CUB_RUNTIME_FUNCTION static cudaError_t Batched(void *d_temp_storage, | ||
| size_t &temp_storage_bytes, | ||
| InputBufferIt input_buffer_it, | ||
| OutputBufferIt output_buffer_it, | ||
| BufferSizeIteratorT buffer_sizes, | ||
| uint32_t num_buffers, | ||
| cudaStream_t stream = 0) | ||
| { | ||
| // Integer type large enough to hold any offset in [0, num_buffers) | ||
| using BufferOffsetT = uint32_t; | ||
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| // Integer type large enough to hold any offset in [0, num_thread_blocks_launched), where a safe | ||
| // uppper bound on num_thread_blocks_launched can be assumed to be given by | ||
| // IDIV_CEIL(num_buffers, 64) | ||
| using BlockOffsetT = uint32_t; | ||
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| return detail::DispatchBatchMemcpy<InputBufferIt, | ||
| OutputBufferIt, | ||
| BufferSizeIteratorT, | ||
| BufferOffsetT, | ||
| BlockOffsetT>::Dispatch(d_temp_storage, | ||
| temp_storage_bytes, | ||
| input_buffer_it, | ||
| output_buffer_it, | ||
| buffer_sizes, | ||
| num_buffers, | ||
| stream); | ||
| } | ||
| }; | ||
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| CUB_NAMESPACE_END |
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