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* Copyright (c) 2011, Duane Merrill. All rights reserved.
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/**
* \file
* The cub::BlockExchange class provides [<em>collective</em>](index.html#sec0) methods for rearranging data partitioned across a CUDA thread block.
*/
#pragma once
#include "../util_ptx.cuh"
#include "../util_arch.cuh"
#include "../util_macro.cuh"
#include "../util_type.cuh"
#include "../util_namespace.cuh"
/// Optional outer namespace(s)
CUB_NS_PREFIX
/// CUB namespace
namespace cub {
/**
* \brief The BlockExchange class provides [<em>collective</em>](index.html#sec0) methods for rearranging 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 ITEMS_PER_THREAD The number of items partitioned onto each thread.
* \tparam WARP_TIME_SLICING <b>[optional]</b> When \p true, only use enough shared memory for a single warp's worth of tile data, time-slicing the block-wide exchange over multiple synchronized rounds. Yields a smaller memory footprint at the ex...
* \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. For example, the device-accessible memory subsystem prefers access patterns
* where data items are "striped" across threads (where consecutive threads access consecutive items),
* yet most block-wide operations prefer a "blocked" partitioning of items across threads
* (where consecutive items belong to a single thread).
* - BlockExchange supports the following types of data exchanges:
* - Transposing between [<em>blocked</em>](index.html#sec5sec3) and [<em>striped</em>](index.html#sec5sec3) arrangements
* - Transposing between [<em>blocked</em>](index.html#sec5sec3) and [<em>warp-striped</em>](index.html#sec5sec3) arrangements
* - Scattering ranked items to a [<em>blocked arrangement</em>](index.html#sec5sec3)
* - Scattering ranked items to a [<em>striped arrangement</em>](index.html#sec5sec3)
* - \rowmajor
*
* \par A Simple Example
* \blockcollective{BlockExchange}
* \par
* The code snippet below illustrates the conversion from a "blocked" to a "striped" arrangement
* of 512 integer items partitioned across 128 threads where each thread owns 4 items.
* \par
* \code
* #include <cub/cub.cuh> // or equivalently <cub/block/block_exchange.cuh>
*
* __global__ void ExampleKernel(int *d_data, ...)
* {
* // Specialize BlockExchange for a 1D block of 128 threads owning 4 integer items each
* typedef cub::BlockExchange<int, 128, 4> BlockExchange;
*
* // Allocate shared memory for BlockExchange
* __shared__ typename BlockExchange::TempStorage temp_storage;
*
* // Load a tile of data striped across threads
* int thread_data[4];
* cub::LoadDirectStriped<128>(threadIdx.x, d_data, thread_data);
*
* // Collectively exchange data into a blocked arrangement across threads
* BlockExchange(temp_storage).StripedToBlocked(thread_data);
*
* \endcode
* \par
* Suppose the set of striped input \p thread_data across the block of threads is
* <tt>{ [0,128,256,384], [1,129,257,385], ..., [127,255,383,511] }</tt>.
* The corresponding output \p thread_data in those threads will be
* <tt>{ [0,1,2,3], [4,5,6,7], [8,9,10,11], ..., [508,509,510,511] }</tt>.
*
* \par Performance Considerations
* - Proper device-specific padding ensures zero bank conflicts for most types.
*
*/
template <
typename InputT,
int BLOCK_DIM_X,
int ITEMS_PER_THREAD,
bool WARP_TIME_SLICING = false,
int BLOCK_DIM_Y = 1,
int BLOCK_DIM_Z = 1,
int PTX_ARCH = CUB_PTX_ARCH>
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