/****************************************************************************** * 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 * cub::DeviceRadixSort provides device-wide, parallel operations for computing a radix sort across a sequence of data items residing within device-accessible memory. */ #pragma once #include #include #include "dispatch/dispatch_radix_sort.cuh" #include "../util_arch.cuh" #include "../util_namespace.cuh" /// Optional outer namespace(s) CUB_NS_PREFIX /// CUB namespace namespace cub { /** * \brief DeviceRadixSort provides device-wide, parallel operations for computing a radix sort across a sequence of data items residing within device-accessible memory. ![](sorting_logo.png) * \ingroup SingleModule * * \par Overview * The [radix sorting method](http://en.wikipedia.org/wiki/Radix_sort) arranges * items into ascending (or descending) order. The algorithm relies upon a positional representation for * keys, i.e., each key is comprised of an ordered sequence of symbols (e.g., digits, * characters, etc.) specified from least-significant to most-significant. For a * given input sequence of keys and a set of rules specifying a total ordering * of the symbolic alphabet, the radix sorting method produces a lexicographic * ordering of those keys. * * \par * DeviceRadixSort can sort all of the built-in C++ numeric primitive types * (unsigned char, \p int, \p double, etc.) as well as CUDA's \p __half * half-precision floating-point type. Although the direct radix sorting * method can only be applied to unsigned integral types, DeviceRadixSort * is able to sort signed and floating-point types via simple bit-wise transformations * that ensure lexicographic key ordering. * * \par Usage Considerations * \cdp_class{DeviceRadixSort} * * \par Performance * \linear_performance{radix sort} The following chart illustrates DeviceRadixSort::SortKeys * performance across different CUDA architectures for uniform-random \p uint32 keys. * \plots_below * * \image html lsb_radix_sort_int32_keys.png * */ struct DeviceRadixSort { /******************************************************************//** * \name KeyT-value pairs *********************************************************************/ //@{ /** * \brief Sorts key-value pairs into ascending order. (~2N auxiliary storage required) * * \par * - The contents of the input data are not altered by the sorting operation * - An optional bit subrange [begin_bit, end_bit) of differentiating key bits can be specified. This can reduce overall sorting overhead and yield a corresponding performance improvement. * - \devicestorageNP For sorting using only O(P) temporary storage, see the sorting interface using DoubleBuffer wrappers below. * - \devicestorage * * \par Performance * The following charts illustrate saturated sorting performance across different * CUDA architectures for uniform-random uint32,uint32 and * uint64,uint64 pairs, respectively. * * \image html lsb_radix_sort_int32_pairs.png * \image html lsb_radix_sort_int64_pairs.png * * \par Snippet * The code snippet below illustrates the sorting of a device vector of \p int keys * with associated vector of \p int values. * \par * \code * #include // or equivalently * * // Declare, allocate, and initialize device-accessible pointers for sorting data * int num_items; // e.g., 7 * int *d_keys_in; // e.g., [8, 6, 7, 5, 3, 0, 9] * int *d_keys_out; // e.g., [ ... ] * int *d_values_in; // e.g., [0, 1, 2, 3, 4, 5, 6] * int *d_values_out; // e.g., [ ... ] * ... * * // Determine temporary device storage requirements * void *d_temp_storage = NULL; * size_t temp_storage_bytes = 0; * cub::DeviceRadixSort::SortPairs(d_temp_storage, temp_storage_bytes, * d_keys_in, d_keys_out, d_values_in, d_values_out, num_items); * * // Allocate temporary storage * cudaMalloc(&d_temp_storage, temp_storage_bytes); * * // Run sorting operation * cub::DeviceRadixSort::SortPairs(d_temp_storage, temp_storage_bytes, * d_keys_in, d_keys_out, d_values_in, d_values_out, num_items); * * // d_keys_out <-- [0, 3, 5, 6, 7, 8, 9] * // d_values_out <-- [5, 4, 3, 1, 2, 0, 6] * * \endcode * * \tparam KeyT [inferred] KeyT type * \tparam ValueT [inferred] ValueT type */ template < typename KeyT, typename ValueT> CUB_RUNTIME_FUNCTION static cudaError_t SortPairs( 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] Reference to size in bytes of \p d_temp_storage allocation const KeyT *d_keys_in, ///< [in] Pointer to the input data of key data to sort KeyT *d_keys_out, ///< [out] Pointer to the sorted output sequence of key data const ValueT *d_values_in, ///< [in] Pointer to the corresponding input sequence of associated value items ValueT *d_values_out, ///< [out] Pointer to the correspondingly-reordered output sequence of associated value items int num_items, ///< [in] Number of items to sort int begin_bit = 0, ///< [in] [optional] The least-significant bit index (inclusive) needed for key comparison int end_bit = sizeof(KeyT) * 8, ///< [in] [optional] The most-significant bit index (exclusive) needed for key comparison (e.g., sizeof(unsigned int) * 8) cudaStream_t stream = 0, ///< [in] [optional] CUDA stream to launch kernels within. Default is stream0. bool debug_synchronous = false) ///< [in] [optional] Whether or not to synchronize the stream after every kernel launch to check for errors. Also causes launch configurations to be printed to the console. Default is \p false. { // Signed integer type for global offsets typedef int OffsetT; DoubleBuffer d_keys(const_cast(d_keys_in), d_keys_out); DoubleBuffer d_values(const_cast(d_values_in), d_values_out); return DispatchRadixSort::Dispatch( d_temp_storage, temp_storage_bytes, d_keys, d_values, num_items, begin_bit, end_bit, false, stream, debug_synchronous); } /** * \brief Sorts key-value pairs into ascending order. (~N auxiliary storage required) * * \par * - The sorting operation is given a pair of key buffers and a corresponding * pair of associated value buffers. Each pair is managed by a DoubleBuffer * structure that indicates which of the two buffers is "current" (and thus * contains the input data to be sorted). * - The contents of both buffers within each pair may be altered by the sorting * operation. * - Upon completion, the sorting operation will update the "current" indicator * within each DoubleBuffer wrapper to reference which of the two buffers * now contains the sorted output sequence (a function of the number of key bits * specified and the targeted device architecture). * - An optional bit subrange [begin_bit, end_bit) of differentiating key bits can be specified. This can reduce overall sorting overhead and yield a corresponding performance improvement. * - \devicestorageP * - \devicestorage * * \par Performance * The following charts illustrate saturated sorting performance across different * CUDA architectures for uniform-random uint32,uint32 and * uint64,uint64 pairs, respectively. * * \image html lsb_radix_sort_int32_pairs.png * \image html lsb_radix_sort_int64_pairs.png * * \par Snippet * The code snippet below illustrates the sorting of a device vector of \p int keys * with associated vector of \p int values. * \par * \code * #include // or equivalently * * // Declare, allocate, and initialize device-accessible pointers for sorting data * int num_items; // e.g., 7 * int *d_key_buf; // e.g., [8, 6, 7, 5, 3, 0, 9] * int *d_key_alt_buf; // e.g., [ ... ] * int *d_value_buf; // e.g., [0, 1, 2, 3, 4, 5, 6] * int *d_value_alt_buf; // e.g., [ ... ] * ... * * // Create a set of DoubleBuffers to wrap pairs of device pointers * cub::DoubleBuffer d_keys(d_key_buf, d_key_alt_buf); * cub::DoubleBuffer d_values(d_value_buf, d_value_alt_buf); * * // Determine temporary device storage requirements * void *d_temp_storage = NULL; * size_t temp_storage_bytes = 0; * cub::DeviceRadixSort::SortPairs(d_temp_storage, temp_storage_bytes, d_keys, d_values, num_items); * * // Allocate temporary storage * cudaMalloc(&d_temp_storage, temp_storage_bytes); * * // Run sorting operation * cub::DeviceRadixSort::SortPairs(d_temp_storage, temp_storage_bytes, d_keys, d_values, num_items); * * // d_keys.Current() <-- [0, 3, 5, 6, 7, 8, 9] * // d_values.Current() <-- [5, 4, 3, 1, 2, 0, 6] * * \endcode * * \tparam KeyT [inferred] KeyT type * \tparam ValueT [inferred] ValueT type */ template < typename KeyT, typename ValueT> CUB_RUNTIME_FUNCTION static cudaError_t SortPairs( 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] Reference to size in bytes of \p d_temp_storage allocation DoubleBuffer &d_keys, ///< [in,out] Reference to the double-buffer of keys whose "current" device-accessible buffer contains the unsorted input keys and, upon return, is updated to point to the sorted output keys DoubleBuffer &d_values, ///< [in,out] Double-buffer of values whose "current" device-accessible buffer contains the unsorted input values and, upon return, is updated to point to the sorted output values int num_items, ///< [in] Number of items to sort int begin_bit = 0, ///< [in] [optional] The least-significant bit index (inclusive) needed for key comparison int end_bit = sizeof(KeyT) * 8, ///< [in] [optional] The most-significant bit index (exclusive) needed for key comparison (e.g., sizeof(unsigned int) * 8) cudaStream_t stream = 0, ///< [in] [optional] CUDA stream to launch kernels within. Default is stream0. bool debug_synchronous = false) ///< [in] [optional] Whether or not to synchronize the stream after every kernel launch to check for errors. Also causes launch configurations to be printed to the console. Default is \p false. { // Signed integer type for global offsets typedef int OffsetT; return DispatchRadixSort::Dispatch( d_temp_storage, temp_storage_bytes, d_keys, d_values, num_items, begin_bit, end_bit, true, stream, debug_synchronous); } /** * \brief Sorts key-value pairs into descending order. (~2N auxiliary storage required). * * \par * - The contents of the input data are not altered by the sorting operation * - An optional bit subrange [begin_bit, end_bit) of differentiating key bits can be specified. This can reduce overall sorting overhead and yield a corresponding performance improvement. * - \devicestorageNP For sorting using only O(P) temporary storage, see the sorting interface using DoubleBuffer wrappers below. * - \devicestorage * * \par Performance * Performance is similar to DeviceRadixSort::SortPairs. * * \par Snippet * The code snippet below illustrates the sorting of a device vector of \p int keys * with associated vector of \p int values. * \par * \code * #include // or equivalently * * // Declare, allocate, and initialize device-accessible pointers for sorting data * int num_items; // e.g., 7 * int *d_keys_in; // e.g., [8, 6, 7, 5, 3, 0, 9] * int *d_keys_out; // e.g., [ ... ] * int *d_values_in; // e.g., [0, 1, 2, 3, 4, 5, 6] * int *d_values_out; // e.g., [ ... ] * ... * * // Determine temporary device storage requirements * void *d_temp_storage = NULL; * size_t temp_storage_bytes = 0; * cub::DeviceRadixSort::SortPairsDescending(d_temp_storage, temp_storage_bytes, * d_keys_in, d_keys_out, d_values_in, d_values_out, num_items); * * // Allocate temporary storage * cudaMalloc(&d_temp_storage, temp_storage_bytes); * * // Run sorting operation * cub::DeviceRadixSort::SortPairsDescending(d_temp_storage, temp_storage_bytes, * d_keys_in, d_keys_out, d_values_in, d_values_out, num_items); * * // d_keys_out <-- [9, 8, 7, 6, 5, 3, 0] * // d_values_out <-- [6, 0, 2, 1, 3, 4, 5] * * \endcode * * \tparam KeyT [inferred] KeyT type * \tparam ValueT [inferred] ValueT type */ template < typename KeyT, typename ValueT> CUB_RUNTIME_FUNCTION static cudaError_t SortPairsDescending( 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] Reference to size in bytes of \p d_temp_storage allocation const KeyT *d_keys_in, ///< [in] Pointer to the input data of key data to sort KeyT *d_keys_out, ///< [out] Pointer to the sorted output sequence of key data const ValueT *d_values_in, ///< [in] Pointer to the corresponding input sequence of associated value items ValueT *d_values_out, ///< [out] Pointer to the correspondingly-reordered output sequence of associated value items int num_items, ///< [in] Number of items to sort int begin_bit = 0, ///< [in] [optional] The least-significant bit index (inclusive) needed for key comparison int end_bit = sizeof(KeyT) * 8, ///< [in] [optional] The most-significant bit index (exclusive) needed for key comparison (e.g., sizeof(unsigned int) * 8) cudaStream_t stream = 0, ///< [in] [optional] CUDA stream to launch kernels within. Default is stream0. bool debug_synchronous = false) ///< [in] [optional] Whether or not to synchronize the stream after every kernel launch to check for errors. Also causes launch configurations to be printed to the console. Default is \p false. { // Signed integer type for global offsets typedef int OffsetT; DoubleBuffer d_keys(const_cast(d_keys_in), d_keys_out); DoubleBuffer d_values(const_cast(d_values_in), d_values_out); return DispatchRadixSort::Dispatch( d_temp_storage, temp_storage_bytes, d_keys, d_values, num_items, begin_bit, end_bit, false, stream, debug_synchronous); } /** * \brief Sorts key-value pairs into descending order. (~N auxiliary storage required). * * \par * - The sorting operation is given a pair of key buffers and a corresponding * pair of associated value buffers. Each pair is managed by a DoubleBuffer * structure that indicates which of the two buffers is "current" (and thus * contains the input data to be sorted). * - The contents of both buffers within each pair may be altered by the sorting * operation. * - Upon completion, the sorting operation will update the "current" indicator * within each DoubleBuffer wrapper to reference which of the two buffers * now contains the sorted output sequence (a function of the number of key bits * specified and the targeted device architecture). * - An optional bit subrange [begin_bit, end_bit) of differentiating key bits can be specified. This can reduce overall sorting overhead and yield a corresponding performance improvement. * - \devicestorageP * - \devicestorage * * \par Performance * Performance is similar to DeviceRadixSort::SortPairs. * * \par Snippet * The code snippet below illustrates the sorting of a device vector of \p int keys * with associated vector of \p int values. * \par * \code * #include // or equivalently * * // Declare, allocate, and initialize device-accessible pointers for sorting data * int num_items; // e.g., 7 * int *d_key_buf; // e.g., [8, 6, 7, 5, 3, 0, 9] * int *d_key_alt_buf; // e.g., [ ... ] * int *d_value_buf; // e.g., [0, 1, 2, 3, 4, 5, 6] * int *d_value_alt_buf; // e.g., [ ... ] * ... * * // Create a set of DoubleBuffers to wrap pairs of device pointers * cub::DoubleBuffer d_keys(d_key_buf, d_key_alt_buf); * cub::DoubleBuffer d_values(d_value_buf, d_value_alt_buf); * * // Determine temporary device storage requirements * void *d_temp_storage = NULL; * size_t temp_storage_bytes = 0; * cub::DeviceRadixSort::SortPairsDescending(d_temp_storage, temp_storage_bytes, d_keys, d_values, num_items); * * // Allocate temporary storage * cudaMalloc(&d_temp_storage, temp_storage_bytes); * * // Run sorting operation * cub::DeviceRadixSort::SortPairsDescending(d_temp_storage, temp_storage_bytes, d_keys, d_values, num_items); * * // d_keys.Current() <-- [9, 8, 7, 6, 5, 3, 0] * // d_values.Current() <-- [6, 0, 2, 1, 3, 4, 5] * * \endcode * * \tparam KeyT [inferred] KeyT type * \tparam ValueT [inferred] ValueT type */ template < typename KeyT, typename ValueT> CUB_RUNTIME_FUNCTION static cudaError_t SortPairsDescending( 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] Reference to size in bytes of \p d_temp_storage allocation DoubleBuffer &d_keys, ///< [in,out] Reference to the double-buffer of keys whose "current" device-accessible buffer contains the unsorted input keys and, upon return, is updated to point to the sorted output keys DoubleBuffer &d_values, ///< [in,out] Double-buffer of values whose "current" device-accessible buffer contains the unsorted input values and, upon return, is updated to point to the sorted output values int num_items, ///< [in] Number of items to sort int begin_bit = 0, ///< [in] [optional] The least-significant bit index (inclusive) needed for key comparison int end_bit = sizeof(KeyT) * 8, ///< [in] [optional] The most-significant bit index (exclusive) needed for key comparison (e.g., sizeof(unsigned int) * 8) cudaStream_t stream = 0, ///< [in] [optional] CUDA stream to launch kernels within. Default is stream0. bool debug_synchronous = false) ///< [in] [optional] Whether or not to synchronize the stream after every kernel launch to check for errors. Also causes launch configurations to be printed to the console. Default is \p false. { // Signed integer type for global offsets typedef int OffsetT; return DispatchRadixSort::Dispatch( d_temp_storage, temp_storage_bytes, d_keys, d_values, num_items, begin_bit, end_bit, true, stream, debug_synchronous); } //@} end member group /******************************************************************//** * \name Keys-only *********************************************************************/ //@{ /** * \brief Sorts keys into ascending order. (~2N auxiliary storage required) * * \par * - The contents of the input data are not altered by the sorting operation * - An optional bit subrange [begin_bit, end_bit) of differentiating key bits can be specified. This can reduce overall sorting overhead and yield a corresponding performance improvement. * - \devicestorageNP For sorting using only O(P) temporary storage, see the sorting interface using DoubleBuffer wrappers below. * - \devicestorage * * \par Performance * The following charts illustrate saturated sorting performance across different * CUDA architectures for uniform-random \p uint32 and \p uint64 keys, respectively. * * \image html lsb_radix_sort_int32_keys.png * \image html lsb_radix_sort_int64_keys.png * * \par Snippet * The code snippet below illustrates the sorting of a device vector of \p int keys. * \par * \code * #include // or equivalently * * // Declare, allocate, and initialize device-accessible pointers for sorting data * int num_items; // e.g., 7 * int *d_keys_in; // e.g., [8, 6, 7, 5, 3, 0, 9] * int *d_keys_out; // e.g., [ ... ] * ... * * // Determine temporary device storage requirements * void *d_temp_storage = NULL; * size_t temp_storage_bytes = 0; * cub::DeviceRadixSort::SortKeys(d_temp_storage, temp_storage_bytes, d_keys_in, d_keys_out, num_items); * * // Allocate temporary storage * cudaMalloc(&d_temp_storage, temp_storage_bytes); * * // Run sorting operation * cub::DeviceRadixSort::SortKeys(d_temp_storage, temp_storage_bytes, d_keys_in, d_keys_out, num_items); * * // d_keys_out <-- [0, 3, 5, 6, 7, 8, 9] * * \endcode * * \tparam KeyT [inferred] KeyT type */ template CUB_RUNTIME_FUNCTION static cudaError_t SortKeys( 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] Reference to size in bytes of \p d_temp_storage allocation const KeyT *d_keys_in, ///< [in] Pointer to the input data of key data to sort KeyT *d_keys_out, ///< [out] Pointer to the sorted output sequence of key data int num_items, ///< [in] Number of items to sort int begin_bit = 0, ///< [in] [optional] The least-significant bit index (inclusive) needed for key comparison int end_bit = sizeof(KeyT) * 8, ///< [in] [optional] The most-significant bit index (exclusive) needed for key comparison (e.g., sizeof(unsigned int) * 8) cudaStream_t stream = 0, ///< [in] [optional] CUDA stream to launch kernels within. Default is stream0. bool debug_synchronous = false) ///< [in] [optional] Whether or not to synchronize the stream after every kernel launch to check for errors. Also causes launch configurations to be printed to the console. Default is \p false. { // Signed integer type for global offsets typedef int OffsetT; // Null value type DoubleBuffer d_keys(const_cast(d_keys_in), d_keys_out); DoubleBuffer d_values; return DispatchRadixSort::Dispatch( d_temp_storage, temp_storage_bytes, d_keys, d_values, num_items, begin_bit, end_bit, false, stream, debug_synchronous); } /** * \brief Sorts keys into ascending order. (~N auxiliary storage required). * * \par * - The sorting operation is given a pair of key buffers managed by a * DoubleBuffer structure that indicates which of the two buffers is * "current" (and thus contains the input data to be sorted). * - The contents of both buffers may be altered by the sorting operation. * - Upon completion, the sorting operation will update the "current" indicator * within the DoubleBuffer wrapper to reference which of the two buffers * now contains the sorted output sequence (a function of the number of key bits * specified and the targeted device architecture). * - An optional bit subrange [begin_bit, end_bit) of differentiating key bits can be specified. This can reduce overall sorting overhead and yield a corresponding performance improvement. * - \devicestorageP * - \devicestorage * * \par Performance * The following charts illustrate saturated sorting performance across different * CUDA architectures for uniform-random \p uint32 and \p uint64 keys, respectively. * * \image html lsb_radix_sort_int32_keys.png * \image html lsb_radix_sort_int64_keys.png * * \par Snippet * The code snippet below illustrates the sorting of a device vector of \p int keys. * \par * \code * #include // or equivalently * * // Declare, allocate, and initialize device-accessible pointers for sorting data * int num_items; // e.g., 7 * int *d_key_buf; // e.g., [8, 6, 7, 5, 3, 0, 9] * int *d_key_alt_buf; // e.g., [ ... ] * ... * * // Create a DoubleBuffer to wrap the pair of device pointers * cub::DoubleBuffer d_keys(d_key_buf, d_key_alt_buf); * * // Determine temporary device storage requirements * void *d_temp_storage = NULL; * size_t temp_storage_bytes = 0; * cub::DeviceRadixSort::SortKeys(d_temp_storage, temp_storage_bytes, d_keys, num_items); * * // Allocate temporary storage * cudaMalloc(&d_temp_storage, temp_storage_bytes); * * // Run sorting operation * cub::DeviceRadixSort::SortKeys(d_temp_storage, temp_storage_bytes, d_keys, num_items); * * // d_keys.Current() <-- [0, 3, 5, 6, 7, 8, 9] * * \endcode * * \tparam KeyT [inferred] KeyT type */ template CUB_RUNTIME_FUNCTION static cudaError_t SortKeys( 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] Reference to size in bytes of \p d_temp_storage allocation DoubleBuffer &d_keys, ///< [in,out] Reference to the double-buffer of keys whose "current" device-accessible buffer contains the unsorted input keys and, upon return, is updated to point to the sorted output keys int num_items, ///< [in] Number of items to sort int begin_bit = 0, ///< [in] [optional] The least-significant bit index (inclusive) needed for key comparison int end_bit = sizeof(KeyT) * 8, ///< [in] [optional] The most-significant bit index (exclusive) needed for key comparison (e.g., sizeof(unsigned int) * 8) cudaStream_t stream = 0, ///< [in] [optional] CUDA stream to launch kernels within. Default is stream0. bool debug_synchronous = false) ///< [in] [optional] Whether or not to synchronize the stream after every kernel launch to check for errors. Also causes launch configurations to be printed to the console. Default is \p false. { // Signed integer type for global offsets typedef int OffsetT; // Null value type DoubleBuffer d_values; return DispatchRadixSort::Dispatch( d_temp_storage, temp_storage_bytes, d_keys, d_values, num_items, begin_bit, end_bit, true, stream, debug_synchronous); } /** * \brief Sorts keys into descending order. (~2N auxiliary storage required). * * \par * - The contents of the input data are not altered by the sorting operation * - An optional bit subrange [begin_bit, end_bit) of differentiating key bits can be specified. This can reduce overall sorting overhead and yield a corresponding performance improvement. * - \devicestorageNP For sorting using only O(P) temporary storage, see the sorting interface using DoubleBuffer wrappers below. * - \devicestorage * * \par Performance * Performance is similar to DeviceRadixSort::SortKeys. * * \par Snippet * The code snippet below illustrates the sorting of a device vector of \p int keys. * \par * \code * #include // or equivalently * * // Declare, allocate, and initialize device-accessible pointers for sorting data * int num_items; // e.g., 7 * int *d_keys_in; // e.g., [8, 6, 7, 5, 3, 0, 9] * int *d_keys_out; // e.g., [ ... ] * ... * * // Create a DoubleBuffer to wrap the pair of device pointers * cub::DoubleBuffer d_keys(d_key_buf, d_key_alt_buf); * * // Determine temporary device storage requirements * void *d_temp_storage = NULL; * size_t temp_storage_bytes = 0; * cub::DeviceRadixSort::SortKeysDescending(d_temp_storage, temp_storage_bytes, d_keys_in, d_keys_out, num_items); * * // Allocate temporary storage * cudaMalloc(&d_temp_storage, temp_storage_bytes); * * // Run sorting operation * cub::DeviceRadixSort::SortKeysDescending(d_temp_storage, temp_storage_bytes, d_keys_in, d_keys_out, num_items); * * // d_keys_out <-- [9, 8, 7, 6, 5, 3, 0]s * * \endcode * * \tparam KeyT [inferred] KeyT type */ template CUB_RUNTIME_FUNCTION static cudaError_t SortKeysDescending( 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] Reference to size in bytes of \p d_temp_storage allocation const KeyT *d_keys_in, ///< [in] Pointer to the input data of key data to sort KeyT *d_keys_out, ///< [out] Pointer to the sorted output sequence of key data int num_items, ///< [in] Number of items to sort int begin_bit = 0, ///< [in] [optional] The least-significant bit index (inclusive) needed for key comparison int end_bit = sizeof(KeyT) * 8, ///< [in] [optional] The most-significant bit index (exclusive) needed for key comparison (e.g., sizeof(unsigned int) * 8) cudaStream_t stream = 0, ///< [in] [optional] CUDA stream to launch kernels within. Default is stream0. bool debug_synchronous = false) ///< [in] [optional] Whether or not to synchronize the stream after every kernel launch to check for errors. Also causes launch configurations to be printed to the console. Default is \p false. { // Signed integer type for global offsets typedef int OffsetT; DoubleBuffer d_keys(const_cast(d_keys_in), d_keys_out); DoubleBuffer d_values; return DispatchRadixSort::Dispatch( d_temp_storage, temp_storage_bytes, d_keys, d_values, num_items, begin_bit, end_bit, false, stream, debug_synchronous); } /** * \brief Sorts keys into descending order. (~N auxiliary storage required). * * \par * - The sorting operation is given a pair of key buffers managed by a * DoubleBuffer structure that indicates which of the two buffers is * "current" (and thus contains the input data to be sorted). * - The contents of both buffers may be altered by the sorting operation. * - Upon completion, the sorting operation will update the "current" indicator * within the DoubleBuffer wrapper to reference which of the two buffers * now contains the sorted output sequence (a function of the number of key bits * specified and the targeted device architecture). * - An optional bit subrange [begin_bit, end_bit) of differentiating key bits can be specified. This can reduce overall sorting overhead and yield a corresponding performance improvement. * - \devicestorageP * - \devicestorage * * \par Performance * Performance is similar to DeviceRadixSort::SortKeys. * * \par Snippet * The code snippet below illustrates the sorting of a device vector of \p int keys. * \par * \code * #include // or equivalently * * // Declare, allocate, and initialize device-accessible pointers for sorting data * int num_items; // e.g., 7 * int *d_key_buf; // e.g., [8, 6, 7, 5, 3, 0, 9] * int *d_key_alt_buf; // e.g., [ ... ] * ... * * // Create a DoubleBuffer to wrap the pair of device pointers * cub::DoubleBuffer d_keys(d_key_buf, d_key_alt_buf); * * // Determine temporary device storage requirements * void *d_temp_storage = NULL; * size_t temp_storage_bytes = 0; * cub::DeviceRadixSort::SortKeysDescending(d_temp_storage, temp_storage_bytes, d_keys, num_items); * * // Allocate temporary storage * cudaMalloc(&d_temp_storage, temp_storage_bytes); * * // Run sorting operation * cub::DeviceRadixSort::SortKeysDescending(d_temp_storage, temp_storage_bytes, d_keys, num_items); * * // d_keys.Current() <-- [9, 8, 7, 6, 5, 3, 0] * * \endcode * * \tparam KeyT [inferred] KeyT type */ template CUB_RUNTIME_FUNCTION static cudaError_t SortKeysDescending( 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] Reference to size in bytes of \p d_temp_storage allocation DoubleBuffer &d_keys, ///< [in,out] Reference to the double-buffer of keys whose "current" device-accessible buffer contains the unsorted input keys and, upon return, is updated to point to the sorted output keys int num_items, ///< [in] Number of items to sort int begin_bit = 0, ///< [in] [optional] The least-significant bit index (inclusive) needed for key comparison int end_bit = sizeof(KeyT) * 8, ///< [in] [optional] The most-significant bit index (exclusive) needed for key comparison (e.g., sizeof(unsigned int) * 8) cudaStream_t stream = 0, ///< [in] [optional] CUDA stream to launch kernels within. Default is stream0. bool debug_synchronous = false) ///< [in] [optional] Whether or not to synchronize the stream after every kernel launch to check for errors. Also causes launch configurations to be printed to the console. Default is \p false. { // Signed integer type for global offsets typedef int OffsetT; // Null value type DoubleBuffer d_values; return DispatchRadixSort::Dispatch( d_temp_storage, temp_storage_bytes, d_keys, d_values, num_items, begin_bit, end_bit, true, stream, debug_synchronous); } //@} end member group }; /** * \example example_device_radix_sort.cu */ } // CUB namespace CUB_NS_POSTFIX // Optional outer namespace(s)