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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
* cub::GridQueue is a descriptor utility for dynamic queue management.
*/
#pragma once
#include "../config.cuh"
#include "../util_debug.cuh"
/// Optional outer namespace(s)
CUB_NS_PREFIX
/// CUB namespace
namespace cub {
/**
* \addtogroup GridModule
* @{
*/
/**
* \brief GridQueue is a descriptor utility for dynamic queue management.
*
* \par Overview
* GridQueue descriptors provides abstractions for "filling" or
* "draining" globally-shared vectors.
*
* \par
* A "filling" GridQueue works by atomically-adding to a zero-initialized counter,
* returning a unique offset for the calling thread to write its items.
* The GridQueue maintains the total "fill-size". The fill counter must be reset
* using GridQueue::ResetFill by the host or kernel instance prior to the kernel instance that
* will be filling.
*
* \par
* Similarly, a "draining" GridQueue works by works by atomically-incrementing a
* zero-initialized counter, returning a unique offset for the calling thread to
* read its items. Threads can safely drain until the array's logical fill-size is
* exceeded. The drain counter must be reset using GridQueue::ResetDrain or
* GridQueue::FillAndResetDrain by the host or kernel instance prior to the kernel instance that
* will be filling. (For dynamic work distribution of existing data, the corresponding fill-size
* is simply the number of elements in the array.)
*
* \par
* Iterative work management can be implemented simply with a pair of flip-flopping
* work buffers, each with an associated set of fill and drain GridQueue descriptors.
*
* \tparam OffsetT Signed integer type for global offsets
*/
template <typename OffsetT>
class GridQueue
{
private:
/// Counter indices
enum
{
FILL = 0,
DRAIN = 1,
};
/// Pair of counters
OffsetT *d_counters;
public:
/// Returns the device allocation size in bytes needed to construct a GridQueue instance
__host__ __device__ __forceinline__
static size_t AllocationSize()
{
return sizeof(OffsetT) * 2;
}
/// Constructs an invalid GridQueue descriptor
__host__ __device__ __forceinline__ GridQueue()
:
d_counters(NULL)
{}
/// Constructs a GridQueue descriptor around the device storage allocation
__host__ __device__ __forceinline__ GridQueue(
void *d_storage) ///< Device allocation to back the GridQueue. Must be at least as big as <tt>AllocationSize()</tt>.
:
d_counters((OffsetT*) d_storage)
{}
/// This operation sets the fill-size and resets the drain counter, preparing the GridQueue for draining in the next kernel instance. To be called by the host or by a kernel prior to that which will be draining.
__host__ __device__ __forceinline__ cudaError_t FillAndResetDrain(
OffsetT fill_size,
cudaStream_t stream = 0)
{
cudaError_t result = cudaErrorUnknown;
if (CUB_IS_DEVICE_CODE) {
#if CUB_INCLUDE_DEVICE_CODE
(void)stream;
d_counters[FILL] = fill_size;
d_counters[DRAIN] = 0;
result = cudaSuccess;
#endif
} else {
#if CUB_INCLUDE_HOST_CODE
OffsetT counters[2];
counters[FILL] = fill_size;
counters[DRAIN] = 0;
result = CubDebug(cudaMemcpyAsync(d_counters, counters, sizeof(OffsetT) * 2, cudaMemcpyHostToDevice, stream));
#endif
}
return result;
}
/// This operation resets the drain so that it may advance to meet the existing fill-size. To be called by the host or by a kernel prior to that which will be draining.
__host__ __device__ __forceinline__ cudaError_t ResetDrain(cudaStream_t stream = 0)
{
cudaError_t result = cudaErrorUnknown;
if (CUB_IS_DEVICE_CODE) {
#if CUB_INCLUDE_DEVICE_CODE
(void)stream;
d_counters[DRAIN] = 0;
result = cudaSuccess;
#endif
} else {
#if CUB_INCLUDE_HOST_CODE
result = CubDebug(cudaMemsetAsync(d_counters + DRAIN, 0, sizeof(OffsetT), stream));
#endif
}
return result;
}
/// This operation resets the fill counter. To be called by the host or by a kernel prior to that which will be filling.
__host__ __device__ __forceinline__ cudaError_t ResetFill(cudaStream_t stream = 0)
{
cudaError_t result = cudaErrorUnknown;
if (CUB_IS_DEVICE_CODE) {
#if CUB_INCLUDE_DEVICE_CODE
(void)stream;
d_counters[FILL] = 0;
result = cudaSuccess;
#endif
} else {
#if CUB_INCLUDE_HOST_CODE
result = CubDebug(cudaMemsetAsync(d_counters + FILL, 0, sizeof(OffsetT), stream));
#endif
}
return result;
}
/// Returns the fill-size established by the parent or by the previous kernel.
__host__ __device__ __forceinline__ cudaError_t FillSize(
OffsetT &fill_size,
cudaStream_t stream = 0)
{
cudaError_t result = cudaErrorUnknown;
if (CUB_IS_DEVICE_CODE) {
#if CUB_INCLUDE_DEVICE_CODE
(void)stream;
fill_size = d_counters[FILL];
result = cudaSuccess;
#endif
} else {
#if CUB_INCLUDE_HOST_CODE
result = CubDebug(cudaMemcpyAsync(&fill_size, d_counters + FILL, sizeof(OffsetT), cudaMemcpyDeviceToHost, stream));
#endif
}
return result;
}
/// Drain \p num_items from the queue. Returns offset from which to read items. To be called from CUDA kernel.
__device__ __forceinline__ OffsetT Drain(OffsetT num_items)
{
return atomicAdd(d_counters + DRAIN, num_items);
}
/// Fill \p num_items into the queue. Returns offset from which to write items. To be called from CUDA kernel.
__device__ __forceinline__ OffsetT Fill(OffsetT num_items)
{
return atomicAdd(d_counters + FILL, num_items);
}
};
#ifndef DOXYGEN_SHOULD_SKIP_THIS // Do not document
/**
* Reset grid queue (call with 1 block of 1 thread)
*/
template <typename OffsetT>
__global__ void FillAndResetDrainKernel(
GridQueue<OffsetT> grid_queue,
OffsetT num_items)
{
grid_queue.FillAndResetDrain(num_items);
}
#endif // DOXYGEN_SHOULD_SKIP_THIS
/** @} */ // end group GridModule
} // CUB namespace
CUB_NS_POSTFIX // Optional outer namespace(s)