Spaces:
Runtime error
Runtime error
File size: 8,485 Bytes
be11144 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 |
/******************************************************************************
* 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)
|