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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
* The cub::BlockShuffle class provides [<em>collective</em>](index.html#sec0) methods for shuffling
* data partitioned across a CUDA thread block.
*/
#pragma once
#include <cub/config.cuh>
#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 <cub/util_ptx.cuh>
#include <cub/util_type.cuh>
CUB_NAMESPACE_BEGIN
/**
* @brief The BlockShuffle class provides [<em>collective</em>](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
* <b>[optional]</b> The thread block length in threads along the Y dimension (default: 1)
*
* @tparam BLOCK_DIM_Z
* <b>[optional]</b> The thread block length in threads along the Z dimension (default: 1)
*
* @tparam LEGACY_PTX_ARCH
* <b>[optional]</b> 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 <em>thread<sub>i</sub></em> obtains the @p input provided by
* <em>thread</em><sub><em>i</em>+<tt>distance</tt></sub>.
* The offset @p distance may be negative.
*
* @par
* - @smemreuse
*
* @param[in] input
* The input item from the calling thread (<em>thread<sub>i</sub></em>)
*
* @param[out] output
* The @p input item from the successor (or predecessor) thread
* <em>thread</em><sub><em>i</em>+<tt>distance</tt></sub> (may be aliased to @p input).
* This value is only updated for for <em>thread<sub>i</sub></em> when
* 0 <= (<em>i</em> + \p distance) < <tt>BLOCK_THREADS-1</tt>
*
* @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<int>(linear_tid) + distance;
if ((offset_tid >= 0) && (offset_tid < BLOCK_THREADS))
{
output = temp_storage[static_cast<size_t>(offset_tid)];
}
}
/**
* @brief Each <em>thread<sub>i</sub></em> obtains the @p input
* provided by <em>thread</em><sub><em>i</em>+<tt>distance</tt></sub>.
*
* @par
* - @smemreuse
*
* @param[in] input
* The calling thread's input item
*
* @param[out] output
* The @p input item from thread
* <em>thread</em><sub>(<em>i</em>+<tt>distance></tt>)%<tt>BLOCK_THREADS</tt></sub>
* (may be aliased to @p input). This value is not updated for
* <em>thread</em><sub>BLOCK_THREADS-1</sub>
*
* @param[in] distance
* Offset distance (0 < @p distance < <tt>BLOCK_THREADS</tt>)
*/
__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
* [<em>blocked arrangement</em>](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 <em>thread</em><sub>0</sub>.
*/
template <int ITEMS_PER_THREAD>
__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 [<em>blocked arrangement</em>](index.html#sec5sec3) of \p input items, shifting it up by one item. All threads receive the \p input provided by <em>thread</em><sub><tt>BLOCK_THREADS-1</tt></sub>.
*
* \par
* - \blocked
* - \granularity
* - \smemreuse
*/
template <int ITEMS_PER_THREAD>
__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 <em>thread</em><sub>0</sub>.
T &block_suffix) ///< [out] The item \p input[ITEMS_PER_THREAD-1] from <em>thread</em><sub><tt>BLOCK_THREADS-1</tt></sub>, provided to all threads
{
Up(input, prev);
block_suffix = temp_storage[BLOCK_THREADS - 1];
}
/**
* @brief The thread block rotates its
* [<em>blocked arrangement</em>](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 <em>thread</em><sub>BLOCK_THREADS-1</sub>.
*/
template <int ITEMS_PER_THREAD>
__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
* [<em>blocked arrangement</em>](index.html#sec5sec3) of input items,
* shifting it down by one item. All threads receive @p input[0]
* provided by <em>thread</em><sub><tt>0</tt></sub>.
*
* @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 <em>thread</em><sub>BLOCK_THREADS-1</sub>.
*
* @param[out] block_prefix
* The item @p input[0] from <em>thread</em><sub><tt>0</tt></sub>, provided to all threads
*/
template <int ITEMS_PER_THREAD>
__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