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/******************************************************************************
* Copyright (c) 2011, Duane Merrill. All rights reserved.
* Copyright (c) 2011-2013, 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::BlockScanRaking provides variants of raking-based parallel prefix scan across a CUDA threadblock.
*/
#pragma once
#include "../../util_arch.cuh"
#include "../../block/block_raking_layout.cuh"
#include "../../thread/thread_reduce.cuh"
#include "../../thread/thread_scan.cuh"
#include "../../warp/warp_scan.cuh"
#include "../../util_namespace.cuh"
/// Optional outer namespace(s)
CUB_NS_PREFIX
/// CUB namespace
namespace cub {
/**
* \brief BlockScanRaking provides variants of raking-based parallel prefix scan across a CUDA threadblock.
*/
template <
typename T, ///< Data type being scanned
int BLOCK_THREADS, ///< The thread block size in threads
bool MEMOIZE> ///< Whether or not to buffer outer raking scan partials to incur fewer shared memory reads at the expense of higher register pressure
struct BlockScanRaking
{
/// Layout type for padded threadblock raking grid
typedef BlockRakingLayout<T, BLOCK_THREADS> BlockRakingLayout;
/// Constants
enum
{
/// Number of active warps
WARPS = (BLOCK_THREADS + PtxArchProps::WARP_THREADS - 1) / PtxArchProps::WARP_THREADS,
/// Number of raking threads
RAKING_THREADS = BlockRakingLayout::RAKING_THREADS,
/// Number of raking elements per warp synchronous raking thread
SEGMENT_LENGTH = BlockRakingLayout::SEGMENT_LENGTH,
/// Cooperative work can be entirely warp synchronous
WARP_SYNCHRONOUS = (BLOCK_THREADS == RAKING_THREADS),
};
/// WarpScan utility type
typedef WarpScan<T, 1, RAKING_THREADS> WarpScan;
/// Shared memory storage layout type
struct _TempStorage
{
typename WarpScan::TempStorage warp_scan; ///< Buffer for warp-synchronous scan
typename BlockRakingLayout::TempStorage raking_grid; ///< Padded threadblock raking grid
T block_aggregate; ///< Block aggregate
};
/// Alias wrapper allowing storage to be unioned
struct TempStorage : Uninitialized<_TempStorage> {};
// Thread fields
_TempStorage &temp_storage;
int linear_tid;
T cached_segment[SEGMENT_LENGTH];
/// Constructor
__device__ __forceinline__ BlockScanRaking(
TempStorage &temp_storage,
int linear_tid)
:
temp_storage(temp_storage.Alias()),
linear_tid(linear_tid)
{}
/// Performs upsweep raking reduction, returning the aggregate
template <typename ScanOp>
__device__ __forceinline__ T Upsweep(
ScanOp scan_op)
{
T *smem_raking_ptr = BlockRakingLayout::RakingPtr(temp_storage.raking_grid, linear_tid);
T *raking_ptr;
if (MEMOIZE)
{
// Copy data into registers
#pragma unroll
for (int i = 0; i < SEGMENT_LENGTH; i++)
{
cached_segment[i] = smem_raking_ptr[i];
}
raking_ptr = cached_segment;
}
else
{
raking_ptr = smem_raking_ptr;
}
T raking_partial = raking_ptr[0];
#pragma unroll
for (int i = 1; i < SEGMENT_LENGTH; i++)
{
if ((BlockRakingLayout::UNGUARDED) || (((linear_tid * SEGMENT_LENGTH) + i) < BLOCK_THREADS))
{
raking_partial = scan_op(raking_partial, raking_ptr[i]);
}
}
return raking_partial;
}
/// Performs exclusive downsweep raking scan
template <typename ScanOp>
__device__ __forceinline__ void ExclusiveDownsweep(
ScanOp scan_op,
T raking_partial,
bool apply_prefix = true)
{
T *smem_raking_ptr = BlockRakingLayout::RakingPtr(temp_storage.raking_grid, linear_tid);
T *raking_ptr = (MEMOIZE) ?
cached_segment :
smem_raking_ptr;
ThreadScanExclusive<SEGMENT_LENGTH>(raking_ptr, raking_ptr, scan_op, raking_partial, apply_prefix);
if (MEMOIZE)
{
// Copy data back to smem
#pragma unroll
for (int i = 0; i < SEGMENT_LENGTH; i++)
{
smem_raking_ptr[i] = cached_segment[i];
}
}
}
/// Performs inclusive downsweep raking scan
template <typename ScanOp>
__device__ __forceinline__ void InclusiveDownsweep(
ScanOp scan_op,
T raking_partial,
bool apply_prefix = true)
{
T *smem_raking_ptr = BlockRakingLayout::RakingPtr(temp_storage.raking_grid, linear_tid);
T *raking_ptr = (MEMOIZE) ?
cached_segment :
smem_raking_ptr;
ThreadScanInclusive<SEGMENT_LENGTH>(raking_ptr, raking_ptr, scan_op, raking_partial, apply_prefix);
if (MEMOIZE)
{
// Copy data back to smem
#pragma unroll
for (int i = 0; i < SEGMENT_LENGTH; i++)
{
smem_raking_ptr[i] = cached_segment[i];
}
}
}
/// Computes an exclusive threadblock-wide prefix scan using the specified binary \p scan_op functor. Each thread contributes one input element. Also provides every thread with the block-wide \p block_aggregate of all inputs.
template <typename ScanOp>
__device__ __forceinline__ void ExclusiveScan(
T input, ///< [in] Calling thread's input items
T &output, ///< [out] Calling thread's output items (may be aliased to \p input)
const T &identity, ///< [in] Identity value
ScanOp scan_op, ///< [in] Binary scan operator
T &block_aggregate) ///< [out] Threadblock-wide aggregate reduction of input items
{
if (WARP_SYNCHRONOUS)
{
// Short-circuit directly to warp scan
WarpScan(temp_storage.warp_scan, 0, linear_tid).ExclusiveScan(
input,
output,
identity,
scan_op,
block_aggregate);
}
else
{
// Place thread partial into shared memory raking grid
T *placement_ptr = BlockRakingLayout::PlacementPtr(temp_storage.raking_grid, linear_tid);
*placement_ptr = input;
__syncthreads();
// Reduce parallelism down to just raking threads
if (linear_tid < RAKING_THREADS)
{
// Raking upsweep reduction in grid
T raking_partial = Upsweep(scan_op);
// Exclusive warp synchronous scan
WarpScan(temp_storage.warp_scan, 0, linear_tid).ExclusiveScan(
raking_partial,
raking_partial,
identity,
scan_op,
temp_storage.block_aggregate);
// Exclusive raking downsweep scan
ExclusiveDownsweep(scan_op, raking_partial);
}
__syncthreads();
// Grab thread prefix from shared memory
output = *placement_ptr;
// Retrieve block aggregate
block_aggregate = temp_storage.block_aggregate;
}
}
/// Computes an exclusive threadblock-wide prefix scan using the specified binary \p scan_op functor. Each thread contributes one input element. the call-back functor \p block_prefix_op is invoked by the first warp in the block, and the value returned by <em>lane</em><sub>0</sub> in that warp is used as the "seed" value that logically prefixes the threadblock's scan inputs. Also provides every thread with the block-wide \p block_aggregate of all inputs.
template <
typename ScanOp,
typename BlockPrefixOp>
__device__ __forceinline__ void ExclusiveScan(
T input, ///< [in] Calling thread's input item
T &output, ///< [out] Calling thread's output item (may be aliased to \p input)
T identity, ///< [in] Identity value
ScanOp scan_op, ///< [in] Binary scan operator
T &block_aggregate, ///< [out] Threadblock-wide aggregate reduction of input items (exclusive of the \p block_prefix_op value)
BlockPrefixOp &block_prefix_op) ///< [in-out] <b>[<em>warp</em><sub>0</sub> only]</b> Call-back functor for specifying a threadblock-wide prefix to be applied to all inputs.
{
if (WARP_SYNCHRONOUS)
{
// Short-circuit directly to warp scan
WarpScan(temp_storage.warp_scan, 0, linear_tid).ExclusiveScan(
input,
output,
identity,
scan_op,
block_aggregate,
block_prefix_op);
}
else
{
// Place thread partial into shared memory raking grid
T *placement_ptr = BlockRakingLayout::PlacementPtr(temp_storage.raking_grid, linear_tid);
*placement_ptr = input;
__syncthreads();
// Reduce parallelism down to just raking threads
if (linear_tid < RAKING_THREADS)
{
// Raking upsweep reduction in grid
T raking_partial = Upsweep(scan_op);
// Exclusive warp synchronous scan
WarpScan(temp_storage.warp_scan, 0, linear_tid).ExclusiveScan(
raking_partial,
raking_partial,
identity,
scan_op,
temp_storage.block_aggregate,
block_prefix_op);
// Exclusive raking downsweep scan
ExclusiveDownsweep(scan_op, raking_partial);
}
__syncthreads();
// Grab thread prefix from shared memory
output = *placement_ptr;
// Retrieve block aggregate
block_aggregate = temp_storage.block_aggregate;
}
}
/// Computes an exclusive threadblock-wide prefix scan using the specified binary \p scan_op functor. Each thread contributes one input element. Also provides every thread with the block-wide \p block_aggregate of all inputs. With no identity value, the output computed for <em>thread</em><sub>0</sub> is undefined.
template <typename ScanOp>
__device__ __forceinline__ void ExclusiveScan(
T input, ///< [in] Calling thread's input item
T &output, ///< [out] Calling thread's output item (may be aliased to \p input)
ScanOp scan_op, ///< [in] Binary scan operator
T &block_aggregate) ///< [out] Threadblock-wide aggregate reduction of input items
{
if (WARP_SYNCHRONOUS)
{
// Short-circuit directly to warp scan
WarpScan(temp_storage.warp_scan, 0, linear_tid).ExclusiveScan(
input,
output,
scan_op,
block_aggregate);
}
else
{
// Place thread partial into shared memory raking grid
T *placement_ptr = BlockRakingLayout::PlacementPtr(temp_storage.raking_grid, linear_tid);
*placement_ptr = input;
__syncthreads();
// Reduce parallelism down to just raking threads
if (linear_tid < RAKING_THREADS)
{
// Raking upsweep reduction in grid
T raking_partial = Upsweep(scan_op);
// Exclusive warp synchronous scan
WarpScan(temp_storage.warp_scan, 0, linear_tid).ExclusiveScan(
raking_partial,
raking_partial,
scan_op,
temp_storage.block_aggregate);
// Exclusive raking downsweep scan
ExclusiveDownsweep(scan_op, raking_partial, (linear_tid != 0));
}
__syncthreads();
// Grab thread prefix from shared memory
output = *placement_ptr;
// Retrieve block aggregate
block_aggregate = temp_storage.block_aggregate;
}
}
/// Computes an exclusive threadblock-wide prefix scan using the specified binary \p scan_op functor. Each thread contributes one input element. the call-back functor \p block_prefix_op is invoked by the first warp in the block, and the value returned by <em>lane</em><sub>0</sub> in that warp is used as the "seed" value that logically prefixes the threadblock's scan inputs. Also provides every thread with the block-wide \p block_aggregate of all inputs.
template <
typename ScanOp,
typename BlockPrefixOp>
__device__ __forceinline__ void ExclusiveScan(
T input, ///< [in] Calling thread's input item
T &output, ///< [out] Calling thread's output item (may be aliased to \p input)
ScanOp scan_op, ///< [in] Binary scan operator
T &block_aggregate, ///< [out] Threadblock-wide aggregate reduction of input items (exclusive of the \p block_prefix_op value)
BlockPrefixOp &block_prefix_op) ///< [in-out] <b>[<em>warp</em><sub>0</sub> only]</b> Call-back functor for specifying a threadblock-wide prefix to be applied to all inputs.
{
if (WARP_SYNCHRONOUS)
{
// Short-circuit directly to warp scan
WarpScan(temp_storage.warp_scan, 0, linear_tid).ExclusiveScan(
input,
output,
scan_op,
block_aggregate,
block_prefix_op);
}
else
{
// Place thread partial into shared memory raking grid
T *placement_ptr = BlockRakingLayout::PlacementPtr(temp_storage.raking_grid, linear_tid);
*placement_ptr = input;
__syncthreads();
// Reduce parallelism down to just raking threads
if (linear_tid < RAKING_THREADS)
{
// Raking upsweep reduction in grid
T raking_partial = Upsweep(scan_op);
// Exclusive warp synchronous scan
WarpScan(temp_storage.warp_scan, 0, linear_tid).ExclusiveScan(
raking_partial,
raking_partial,
scan_op,
temp_storage.block_aggregate,
block_prefix_op);
// Exclusive raking downsweep scan
ExclusiveDownsweep(scan_op, raking_partial);
}
__syncthreads();
// Grab thread prefix from shared memory
output = *placement_ptr;
// Retrieve block aggregate
block_aggregate = temp_storage.block_aggregate;
}
}
/// Computes an exclusive threadblock-wide prefix scan using addition (+) as the scan operator. Each thread contributes one input element. Also provides every thread with the block-wide \p block_aggregate of all inputs.
__device__ __forceinline__ void ExclusiveSum(
T input, ///< [in] Calling thread's input item
T &output, ///< [out] Calling thread's output item (may be aliased to \p input)
T &block_aggregate) ///< [out] Threadblock-wide aggregate reduction of input items
{
if (WARP_SYNCHRONOUS)
{
// Short-circuit directly to warp scan
WarpScan(temp_storage.warp_scan, 0, linear_tid).ExclusiveSum(
input,
output,
block_aggregate);
}
else
{
// Raking scan
Sum scan_op;
// Place thread partial into shared memory raking grid
T *placement_ptr = BlockRakingLayout::PlacementPtr(temp_storage.raking_grid, linear_tid);
*placement_ptr = input;
__syncthreads();
// Reduce parallelism down to just raking threads
if (linear_tid < RAKING_THREADS)
{
// Raking upsweep reduction in grid
T raking_partial = Upsweep(scan_op);
// Exclusive warp synchronous scan
WarpScan(temp_storage.warp_scan, 0, linear_tid).ExclusiveSum(
raking_partial,
raking_partial,
temp_storage.block_aggregate);
// Exclusive raking downsweep scan
ExclusiveDownsweep(scan_op, raking_partial);
}
__syncthreads();
// Grab thread prefix from shared memory
output = *placement_ptr;
// Retrieve block aggregate
block_aggregate = temp_storage.block_aggregate;
}
}
/// Computes an exclusive threadblock-wide prefix scan using addition (+) as the scan operator. Each thread contributes one input element. Instead of using 0 as the threadblock-wide prefix, the call-back functor \p block_prefix_op is invoked by the first warp in the block, and the value returned by <em>lane</em><sub>0</sub> in that warp is used as the "seed" value that logically prefixes the threadblock's scan inputs. Also provides every thread with the block-wide \p block_aggregate of all inputs.
template <typename BlockPrefixOp>
__device__ __forceinline__ void ExclusiveSum(
T input, ///< [in] Calling thread's input item
T &output, ///< [out] Calling thread's output item (may be aliased to \p input)
T &block_aggregate, ///< [out] Threadblock-wide aggregate reduction of input items (exclusive of the \p block_prefix_op value)
BlockPrefixOp &block_prefix_op) ///< [in-out] <b>[<em>warp</em><sub>0</sub> only]</b> Call-back functor for specifying a threadblock-wide prefix to be applied to all inputs.
{
if (WARP_SYNCHRONOUS)
{
// Short-circuit directly to warp scan
WarpScan(temp_storage.warp_scan, 0, linear_tid).ExclusiveSum(
input,
output,
block_aggregate,
block_prefix_op);
}
else
{
// Raking scan
Sum scan_op;
// Place thread partial into shared memory raking grid
T *placement_ptr = BlockRakingLayout::PlacementPtr(temp_storage.raking_grid, linear_tid);
*placement_ptr = input;
__syncthreads();
// Reduce parallelism down to just raking threads
if (linear_tid < RAKING_THREADS)
{
// Raking upsweep reduction in grid
T raking_partial = Upsweep(scan_op);
// Exclusive warp synchronous scan
WarpScan(temp_storage.warp_scan, 0, linear_tid).ExclusiveSum(
raking_partial,
raking_partial,
temp_storage.block_aggregate,
block_prefix_op);
// Exclusive raking downsweep scan
ExclusiveDownsweep(scan_op, raking_partial);
}
__syncthreads();
// Grab thread prefix from shared memory
output = *placement_ptr;
// Retrieve block aggregate
block_aggregate = temp_storage.block_aggregate;
}
}
/// Computes an inclusive threadblock-wide prefix scan using the specified binary \p scan_op functor. Each thread contributes one input element. Also provides every thread with the block-wide \p block_aggregate of all inputs.
template <typename ScanOp>
__device__ __forceinline__ void InclusiveScan(
T input, ///< [in] Calling thread's input item
T &output, ///< [out] Calling thread's output item (may be aliased to \p input)
ScanOp scan_op, ///< [in] Binary scan operator
T &block_aggregate) ///< [out] Threadblock-wide aggregate reduction of input items
{
if (WARP_SYNCHRONOUS)
{
// Short-circuit directly to warp scan
WarpScan(temp_storage.warp_scan, 0, linear_tid).InclusiveScan(
input,
output,
scan_op,
block_aggregate);
}
else
{
// Place thread partial into shared memory raking grid
T *placement_ptr = BlockRakingLayout::PlacementPtr(temp_storage.raking_grid, linear_tid);
*placement_ptr = input;
__syncthreads();
// Reduce parallelism down to just raking threads
if (linear_tid < RAKING_THREADS)
{
// Raking upsweep reduction in grid
T raking_partial = Upsweep(scan_op);
// Exclusive warp synchronous scan
WarpScan(temp_storage.warp_scan, 0, linear_tid).ExclusiveScan(
raking_partial,
raking_partial,
scan_op,
temp_storage.block_aggregate);
// Inclusive raking downsweep scan
InclusiveDownsweep(scan_op, raking_partial, (linear_tid != 0));
}
__syncthreads();
// Grab thread prefix from shared memory
output = *placement_ptr;
// Retrieve block aggregate
block_aggregate = temp_storage.block_aggregate;
}
}
/// Computes an inclusive threadblock-wide prefix scan using the specified binary \p scan_op functor. Each thread contributes one input element. the call-back functor \p block_prefix_op is invoked by the first warp in the block, and the value returned by <em>lane</em><sub>0</sub> in that warp is used as the "seed" value that logically prefixes the threadblock's scan inputs. Also provides every thread with the block-wide \p block_aggregate of all inputs.
template <
typename ScanOp,
typename BlockPrefixOp>
__device__ __forceinline__ void InclusiveScan(
T input, ///< [in] Calling thread's input item
T &output, ///< [out] Calling thread's output item (may be aliased to \p input)
ScanOp scan_op, ///< [in] Binary scan operator
T &block_aggregate, ///< [out] Threadblock-wide aggregate reduction of input items (exclusive of the \p block_prefix_op value)
BlockPrefixOp &block_prefix_op) ///< [in-out] <b>[<em>warp</em><sub>0</sub> only]</b> Call-back functor for specifying a threadblock-wide prefix to be applied to all inputs.
{
if (WARP_SYNCHRONOUS)
{
// Short-circuit directly to warp scan
WarpScan(temp_storage.warp_scan, 0, linear_tid).InclusiveScan(
input,
output,
scan_op,
block_aggregate,
block_prefix_op);
}
else
{
// Place thread partial into shared memory raking grid
T *placement_ptr = BlockRakingLayout::PlacementPtr(temp_storage.raking_grid, linear_tid);
*placement_ptr = input;
__syncthreads();
// Reduce parallelism down to just raking threads
if (linear_tid < RAKING_THREADS)
{
// Raking upsweep reduction in grid
T raking_partial = Upsweep(scan_op);
// Warp synchronous scan
WarpScan(temp_storage.warp_scan, 0, linear_tid).ExclusiveScan(
raking_partial,
raking_partial,
scan_op,
temp_storage.block_aggregate,
block_prefix_op);
// Inclusive raking downsweep scan
InclusiveDownsweep(scan_op, raking_partial);
}
__syncthreads();
// Grab thread prefix from shared memory
output = *placement_ptr;
// Retrieve block aggregate
block_aggregate = temp_storage.block_aggregate;
}
}
/// Computes an inclusive threadblock-wide prefix scan using the specified binary \p scan_op functor. Each thread contributes one input element. Also provides every thread with the block-wide \p block_aggregate of all inputs.
__device__ __forceinline__ void InclusiveSum(
T input, ///< [in] Calling thread's input item
T &output, ///< [out] Calling thread's output item (may be aliased to \p input)
T &block_aggregate) ///< [out] Threadblock-wide aggregate reduction of input items
{
if (WARP_SYNCHRONOUS)
{
// Short-circuit directly to warp scan
WarpScan(temp_storage.warp_scan, 0, linear_tid).InclusiveSum(
input,
output,
block_aggregate);
}
else
{
// Raking scan
Sum scan_op;
// Place thread partial into shared memory raking grid
T *placement_ptr = BlockRakingLayout::PlacementPtr(temp_storage.raking_grid, linear_tid);
*placement_ptr = input;
__syncthreads();
// Reduce parallelism down to just raking threads
if (linear_tid < RAKING_THREADS)
{
// Raking upsweep reduction in grid
T raking_partial = Upsweep(scan_op);
// Exclusive warp synchronous scan
WarpScan(temp_storage.warp_scan, 0, linear_tid).ExclusiveSum(
raking_partial,
raking_partial,
temp_storage.block_aggregate);
// Inclusive raking downsweep scan
InclusiveDownsweep(scan_op, raking_partial, (linear_tid != 0));
}
__syncthreads();
// Grab thread prefix from shared memory
output = *placement_ptr;
// Retrieve block aggregate
block_aggregate = temp_storage.block_aggregate;
}
}
/// Computes an inclusive threadblock-wide prefix scan using the specified binary \p scan_op functor. Each thread contributes one input element. Instead of using 0 as the threadblock-wide prefix, the call-back functor \p block_prefix_op is invoked by the first warp in the block, and the value returned by <em>lane</em><sub>0</sub> in that warp is used as the "seed" value that logically prefixes the threadblock's scan inputs. Also provides every thread with the block-wide \p block_aggregate of all inputs.
template <typename BlockPrefixOp>
__device__ __forceinline__ void InclusiveSum(
T input, ///< [in] Calling thread's input item
T &output, ///< [out] Calling thread's output item (may be aliased to \p input)
T &block_aggregate, ///< [out] Threadblock-wide aggregate reduction of input items (exclusive of the \p block_prefix_op value)
BlockPrefixOp &block_prefix_op) ///< [in-out] <b>[<em>warp</em><sub>0</sub> only]</b> Call-back functor for specifying a threadblock-wide prefix to be applied to all inputs.
{
if (WARP_SYNCHRONOUS)
{
// Short-circuit directly to warp scan
WarpScan(temp_storage.warp_scan, 0, linear_tid).InclusiveSum(
input,
output,
block_aggregate,
block_prefix_op);
}
else
{
// Raking scan
Sum scan_op;
// Place thread partial into shared memory raking grid
T *placement_ptr = BlockRakingLayout::PlacementPtr(temp_storage.raking_grid, linear_tid);
*placement_ptr = input;
__syncthreads();
// Reduce parallelism down to just raking threads
if (linear_tid < RAKING_THREADS)
{
// Raking upsweep reduction in grid
T raking_partial = Upsweep(scan_op);
// Warp synchronous scan
WarpScan(temp_storage.warp_scan, 0, linear_tid).ExclusiveSum(
raking_partial,
raking_partial,
temp_storage.block_aggregate,
block_prefix_op);
// Inclusive raking downsweep scan
InclusiveDownsweep(scan_op, raking_partial);
}
__syncthreads();
// Grab thread prefix from shared memory
output = *placement_ptr;
// Retrieve block aggregate
block_aggregate = temp_storage.block_aggregate;
}
}
};
} // CUB namespace
CUB_NS_POSTFIX // Optional outer namespace(s)
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