block_scan_warp_scans3.cuh
19 KB
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
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
/******************************************************************************
* 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::BlockScanWarpscans provides warpscan-based variants of parallel prefix scan across a CUDA thread block.
*/
#pragma once
#include "../../util_arch.cuh"
#include "../../util_ptx.cuh"
#include "../../warp/warp_scan.cuh"
#include "../../util_namespace.cuh"
/// Optional outer namespace(s)
CUB_NS_PREFIX
/// CUB namespace
namespace cub {
/**
* \brief BlockScanWarpScans provides warpscan-based variants of parallel prefix scan across a CUDA thread block.
*/
template <
typename T,
int BLOCK_DIM_X, ///< The thread block length in threads along the X dimension
int BLOCK_DIM_Y, ///< The thread block length in threads along the Y dimension
int BLOCK_DIM_Z, ///< The thread block length in threads along the Z dimension
int PTX_ARCH> ///< The PTX compute capability for which to to specialize this collective
struct BlockScanWarpScans
{
//---------------------------------------------------------------------
// Types and constants
//---------------------------------------------------------------------
/// Constants
enum
{
/// The thread block size in threads
BLOCK_THREADS = BLOCK_DIM_X * BLOCK_DIM_Y * BLOCK_DIM_Z,
/// Number of warp threads
INNER_WARP_THREADS = CUB_WARP_THREADS(PTX_ARCH),
OUTER_WARP_THREADS = BLOCK_THREADS / INNER_WARP_THREADS,
/// Number of outer scan warps
OUTER_WARPS = INNER_WARP_THREADS
};
/// Outer WarpScan utility type
typedef WarpScan<T, OUTER_WARP_THREADS, PTX_ARCH> OuterWarpScanT;
/// Inner WarpScan utility type
typedef WarpScan<T, INNER_WARP_THREADS, PTX_ARCH> InnerWarpScanT;
typedef typename OuterWarpScanT::TempStorage OuterScanArray[OUTER_WARPS];
/// Shared memory storage layout type
struct _TempStorage
{
union Aliasable
{
Uninitialized<OuterScanArray> outer_warp_scan; ///< Buffer for warp-synchronous outer scans
typename InnerWarpScanT::TempStorage inner_warp_scan; ///< Buffer for warp-synchronous inner scan
} aliasable;
T warp_aggregates[OUTER_WARPS];
T block_aggregate; ///< Shared prefix for the entire thread block
};
/// Alias wrapper allowing storage to be unioned
struct TempStorage : Uninitialized<_TempStorage> {};
//---------------------------------------------------------------------
// Per-thread fields
//---------------------------------------------------------------------
// Thread fields
_TempStorage &temp_storage;
unsigned int linear_tid;
unsigned int warp_id;
unsigned int lane_id;
//---------------------------------------------------------------------
// Constructors
//---------------------------------------------------------------------
/// Constructor
__device__ __forceinline__ BlockScanWarpScans(
TempStorage &temp_storage)
:
temp_storage(temp_storage.Alias()),
linear_tid(RowMajorTid(BLOCK_DIM_X, BLOCK_DIM_Y, BLOCK_DIM_Z)),
warp_id((OUTER_WARPS == 1) ? 0 : linear_tid / OUTER_WARP_THREADS),
lane_id((OUTER_WARPS == 1) ? linear_tid : linear_tid % OUTER_WARP_THREADS)
{}
//---------------------------------------------------------------------
// Exclusive scans
//---------------------------------------------------------------------
/// Computes an exclusive thread block-wide prefix scan using the specified binary \p scan_op functor. Each thread contributes one input element. With no initial 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 &exclusive_output, ///< [out] Calling thread's output item (may be aliased to \p input)
ScanOp scan_op) ///< [in] Binary scan operator
{
// Compute block-wide exclusive scan. The exclusive output from tid0 is invalid.
T block_aggregate;
ExclusiveScan(input, exclusive_output, scan_op, block_aggregate);
}
/// Computes an exclusive thread block-wide prefix scan using the specified binary \p scan_op functor. Each thread contributes one input element.
template <typename ScanOp>
__device__ __forceinline__ void ExclusiveScan(
T input, ///< [in] Calling thread's input items
T &exclusive_output, ///< [out] Calling thread's output items (may be aliased to \p input)
const T &initial_value, ///< [in] Initial value to seed the exclusive scan
ScanOp scan_op) ///< [in] Binary scan operator
{
T block_aggregate;
ExclusiveScan(input, exclusive_output, initial_value, scan_op, block_aggregate);
}
/// Computes an exclusive thread block-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 initial 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 &exclusive_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
{
// Compute warp scan in each warp. The exclusive output from each lane0 is invalid.
T inclusive_output;
OuterWarpScanT(temp_storage.aliasable.outer_warp_scan.Alias()[warp_id]).Scan(
input, inclusive_output, exclusive_output, scan_op);
// Share outer warp total
if (lane_id == OUTER_WARP_THREADS - 1)
temp_storage.warp_aggregates[warp_id] = inclusive_output;
CTA_SYNC();
if (linear_tid < INNER_WARP_THREADS)
{
T outer_warp_input = temp_storage.warp_aggregates[linear_tid];
T outer_warp_exclusive;
InnerWarpScanT(temp_storage.aliasable.inner_warp_scan).ExclusiveScan(
outer_warp_input, outer_warp_exclusive, scan_op, block_aggregate);
temp_storage.block_aggregate = block_aggregate;
temp_storage.warp_aggregates[linear_tid] = outer_warp_exclusive;
}
CTA_SYNC();
if (warp_id != 0)
{
// Retrieve block aggregate
block_aggregate = temp_storage.block_aggregate;
// Apply warp prefix to our lane's partial
T outer_warp_exclusive = temp_storage.warp_aggregates[warp_id];
exclusive_output = scan_op(outer_warp_exclusive, exclusive_output);
if (lane_id == 0)
exclusive_output = outer_warp_exclusive;
}
}
/// Computes an exclusive thread block-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 &exclusive_output, ///< [out] Calling thread's output items (may be aliased to \p input)
const T &initial_value, ///< [in] Initial value to seed the exclusive scan
ScanOp scan_op, ///< [in] Binary scan operator
T &block_aggregate) ///< [out] Threadblock-wide aggregate reduction of input items
{
// Compute warp scan in each warp. The exclusive output from each lane0 is invalid.
T inclusive_output;
OuterWarpScanT(temp_storage.aliasable.outer_warp_scan.Alias()[warp_id]).Scan(
input, inclusive_output, exclusive_output, scan_op);
// Share outer warp total
if (lane_id == OUTER_WARP_THREADS - 1)
{
temp_storage.warp_aggregates[warp_id] = inclusive_output;
}
CTA_SYNC();
if (linear_tid < INNER_WARP_THREADS)
{
T outer_warp_input = temp_storage.warp_aggregates[linear_tid];
T outer_warp_exclusive;
InnerWarpScanT(temp_storage.aliasable.inner_warp_scan).ExclusiveScan(
outer_warp_input, outer_warp_exclusive, initial_value, scan_op, block_aggregate);
temp_storage.block_aggregate = block_aggregate;
temp_storage.warp_aggregates[linear_tid] = outer_warp_exclusive;
}
CTA_SYNC();
// Retrieve block aggregate
block_aggregate = temp_storage.block_aggregate;
// Apply warp prefix to our lane's partial
T outer_warp_exclusive = temp_storage.warp_aggregates[warp_id];
exclusive_output = scan_op(outer_warp_exclusive, exclusive_output);
if (lane_id == 0)
exclusive_output = outer_warp_exclusive;
}
/// Computes an exclusive thread block-wide prefix scan using the specified binary \p scan_op functor. Each thread contributes one input element. The call-back functor \p block_prefix_callback_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 thread block's scan inputs.
template <
typename ScanOp,
typename BlockPrefixCallbackOp>
__device__ __forceinline__ void ExclusiveScan(
T input, ///< [in] Calling thread's input item
T &exclusive_output, ///< [out] Calling thread's output item (may be aliased to \p input)
ScanOp scan_op, ///< [in] Binary scan operator
BlockPrefixCallbackOp &block_prefix_callback_op) ///< [in-out] <b>[<em>warp</em><sub>0</sub> only]</b> Call-back functor for specifying a thread block-wide prefix to be applied to all inputs.
{
// Compute warp scan in each warp. The exclusive output from each lane0 is invalid.
T inclusive_output;
OuterWarpScanT(temp_storage.aliasable.outer_warp_scan.Alias()[warp_id]).Scan(
input, inclusive_output, exclusive_output, scan_op);
// Share outer warp total
if (lane_id == OUTER_WARP_THREADS - 1)
temp_storage.warp_aggregates[warp_id] = inclusive_output;
CTA_SYNC();
if (linear_tid < INNER_WARP_THREADS)
{
InnerWarpScanT inner_scan(temp_storage.aliasable.inner_warp_scan);
T upsweep = temp_storage.warp_aggregates[linear_tid];
T downsweep_prefix, block_aggregate;
inner_scan.ExclusiveScan(upsweep, downsweep_prefix, scan_op, block_aggregate);
// Use callback functor to get block prefix in lane0 and then broadcast to other lanes
T block_prefix = block_prefix_callback_op(block_aggregate);
block_prefix = inner_scan.Broadcast(block_prefix, 0);
downsweep_prefix = scan_op(block_prefix, downsweep_prefix);
if (linear_tid == 0)
downsweep_prefix = block_prefix;
temp_storage.warp_aggregates[linear_tid] = downsweep_prefix;
}
CTA_SYNC();
// Apply warp prefix to our lane's partial (or assign it if partial is invalid)
T outer_warp_exclusive = temp_storage.warp_aggregates[warp_id];
exclusive_output = scan_op(outer_warp_exclusive, exclusive_output);
if (lane_id == 0)
exclusive_output = outer_warp_exclusive;
}
//---------------------------------------------------------------------
// Inclusive scans
//---------------------------------------------------------------------
/// Computes an inclusive thread block-wide prefix scan using the specified binary \p scan_op functor. Each thread contributes one input element.
template <typename ScanOp>
__device__ __forceinline__ void InclusiveScan(
T input, ///< [in] Calling thread's input item
T &inclusive_output, ///< [out] Calling thread's output item (may be aliased to \p input)
ScanOp scan_op) ///< [in] Binary scan operator
{
T block_aggregate;
InclusiveScan(input, inclusive_output, scan_op, block_aggregate);
}
/// Computes an inclusive thread block-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 &inclusive_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
{
// Compute warp scan in each warp. The exclusive output from each lane0 is invalid.
OuterWarpScanT(temp_storage.aliasable.outer_warp_scan.Alias()[warp_id]).InclusiveScan(
input, inclusive_output, scan_op);
// Share outer warp total
if (lane_id == OUTER_WARP_THREADS - 1)
temp_storage.warp_aggregates[warp_id] = inclusive_output;
CTA_SYNC();
if (linear_tid < INNER_WARP_THREADS)
{
T outer_warp_input = temp_storage.warp_aggregates[linear_tid];
T outer_warp_exclusive;
InnerWarpScanT(temp_storage.aliasable.inner_warp_scan).ExclusiveScan(
outer_warp_input, outer_warp_exclusive, scan_op, block_aggregate);
temp_storage.block_aggregate = block_aggregate;
temp_storage.warp_aggregates[linear_tid] = outer_warp_exclusive;
}
CTA_SYNC();
if (warp_id != 0)
{
// Retrieve block aggregate
block_aggregate = temp_storage.block_aggregate;
// Apply warp prefix to our lane's partial
T outer_warp_exclusive = temp_storage.warp_aggregates[warp_id];
inclusive_output = scan_op(outer_warp_exclusive, inclusive_output);
}
}
/// Computes an inclusive thread block-wide prefix scan using the specified binary \p scan_op functor. Each thread contributes one input element. the call-back functor \p block_prefix_callback_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 thread block's scan inputs.
template <
typename ScanOp,
typename BlockPrefixCallbackOp>
__device__ __forceinline__ void InclusiveScan(
T input, ///< [in] Calling thread's input item
T &inclusive_output, ///< [out] Calling thread's output item (may be aliased to \p input)
ScanOp scan_op, ///< [in] Binary scan operator
BlockPrefixCallbackOp &block_prefix_callback_op) ///< [in-out] <b>[<em>warp</em><sub>0</sub> only]</b> Call-back functor for specifying a thread block-wide prefix to be applied to all inputs.
{
// Compute warp scan in each warp. The exclusive output from each lane0 is invalid.
OuterWarpScanT(temp_storage.aliasable.outer_warp_scan.Alias()[warp_id]).InclusiveScan(
input, inclusive_output, scan_op);
// Share outer warp total
if (lane_id == OUTER_WARP_THREADS - 1)
temp_storage.warp_aggregates[warp_id] = inclusive_output;
CTA_SYNC();
if (linear_tid < INNER_WARP_THREADS)
{
InnerWarpScanT inner_scan(temp_storage.aliasable.inner_warp_scan);
T upsweep = temp_storage.warp_aggregates[linear_tid];
T downsweep_prefix, block_aggregate;
inner_scan.ExclusiveScan(upsweep, downsweep_prefix, scan_op, block_aggregate);
// Use callback functor to get block prefix in lane0 and then broadcast to other lanes
T block_prefix = block_prefix_callback_op(block_aggregate);
block_prefix = inner_scan.Broadcast(block_prefix, 0);
downsweep_prefix = scan_op(block_prefix, downsweep_prefix);
if (linear_tid == 0)
downsweep_prefix = block_prefix;
temp_storage.warp_aggregates[linear_tid] = downsweep_prefix;
}
CTA_SYNC();
// Apply warp prefix to our lane's partial
T outer_warp_exclusive = temp_storage.warp_aggregates[warp_id];
inclusive_output = scan_op(outer_warp_exclusive, inclusive_output);
}
};
} // CUB namespace
CUB_NS_POSTFIX // Optional outer namespace(s)