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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 "../config.cuh"
#include "../util_ptx.cuh"
#include "../util_type.cuh"
/// Optional outer namespace(s)
CUB_NS_PREFIX
/// CUB namespace
namespace cub {
/**
* \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 PTX_ARCH <b>[optional]</b> \ptxversion
*
* \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 PTX_ARCH = CUB_PTX_ARCH>
class BlockShuffle
{
private:
/******************************************************************************
* Constants
******************************************************************************/
enum
{
BLOCK_THREADS = BLOCK_DIM_X * BLOCK_DIM_Y * BLOCK_DIM_Z,
LOG_WARP_THREADS = CUB_LOG_WARP_THREADS(PTX_ARCH),
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)
struct _TempStorage
{
T prev[BLOCK_THREADS];
T next[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.
*/
__device__ __forceinline__ BlockShuffle(
TempStorage &temp_storage) ///< [in] Reference to memory allocation having layout type TempStorage
:
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
*/
__device__ __forceinline__ void Offset(
T input, ///< [in] The input item from the calling thread (<em>thread<sub>i</sub></em>)
T& output, ///< [out] 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>
int distance = 1) ///< [in] Offset distance (may be negative)
{
temp_storage[linear_tid].prev = 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)].prev;
}
}
/**
* \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
*/
__device__ __forceinline__ void Rotate(
T input, ///< [in] The calling thread's input item
T& output, ///< [out] 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>
unsigned int distance = 1) ///< [in] Offset distance (0 < \p distance < <tt>BLOCK_THREADS</tt>)
{
temp_storage[linear_tid].prev = input;
CTA_SYNC();
unsigned int offset = threadIdx.x + distance;
if (offset >= BLOCK_THREADS)
offset -= BLOCK_THREADS;
output = temp_storage[offset].prev;
}
/**
* \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
*/
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>.
{
temp_storage[linear_tid].prev = 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].prev;
}
/**
* \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].prev;
}
/**
* \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
*/
template <int ITEMS_PER_THREAD>
__device__ __forceinline__ void Down(
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 value \p prev[0] is not updated for <em>thread</em><sub>BLOCK_THREADS-1</sub>.
{
temp_storage[linear_tid].prev = 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].prev;
}
/**
* \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
*/
template <int ITEMS_PER_THREAD>
__device__ __forceinline__ void Down(
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 value \p prev[0] is not updated for <em>thread</em><sub>BLOCK_THREADS-1</sub>.
T &block_prefix) ///< [out] The item \p input[0] from <em>thread</em><sub><tt>0</tt></sub>, provided to all threads
{
Up(input, prev);
block_prefix = temp_storage[BLOCK_THREADS - 1].prev;
}
//@} end member group
};
} // CUB namespace
CUB_NS_POSTFIX // Optional outer namespace(s)