我想在 cuda 中实现关键部分。我阅读了很多关于这个主题的问题和答案，答案通常涉及 atomicCAS 和 atomicExch。
但是，这在 warp 级别不起作用，因为 warp 中的所有线程在 atomicCAS 之后都获取相同的锁，从而导致死锁。
我认为有一种方法可以通过使用 warp __ballot 或 __any 指令来真正锁定 cuda。
但是，经过多次尝试，我没有得到令人满意的（阅读工作）解决方案。
这里有人对此有很好的答案吗？
ps：我知道扭曲发散很糟糕，所以不要告诉我改变我的算法。
原子可以在经线级别上工作。锁的内部扭曲协商的危险与锁的获取方式与锁的释放方式有关。诸如this和this和this之类的问题指出了这种危险，但您不应将其混为一谈，因为这是使用原子的限制。由于条件代码在 GPU(*) 上的执行方式以及条件构造中 2 条路径之间的依赖关系，会产生危险。
为了避免扭曲中的上述危险，有必要打破条件构造中两条路径之间的依赖关系。锁的获取必须能够独立于临界区和锁的释放进行。
但是，由于您只希望在经线内进行协调，因此原子操作是多余的。我们已经拥有__ballot()你提到的许多强大的经纱通信和协调机制。
接下来是一个__ballot()在机制中使用以确保只有 1 个线程（每个 warp）将“获取锁”的工作示例。由于这一切都只发生在扭曲级别，我们可以再次利用它来完全免除锁的释放。我们可以知道当关键部分完成时锁被释放（因为我们只需要跟踪整个 warp 的完成情况）。
此示例在 warp 级别执行流压缩，使用一种__ballot()机制确保一次只有 1 个线程进入“临界区”：
$ cat t398.cu
#include <stdio.h>
#include <stdlib.h>
const int num_threads = 1024; // should be 1024 or less for this demo
// returns true if the thread acquired the lock
// will return true for at most 1 thread per warp
__device__ bool warp_lock(int req){
return ((__ffs(__ballot(req))) == ((threadIdx.x & 31)+1));
}
__global__ void test_lock(int *pattern, int *result){
__shared__ int done;
__shared__ int warp_index[32];
int myreq = pattern[threadIdx.x];
done = 1;
if ((threadIdx.x & 31) == 0) warp_index[threadIdx.x>>5] = 0;
do {
done = 1;
__syncthreads();
// attempt to "acquire lock"
bool mylock = warp_lock(myreq);
// if lock acquired, do "critical section"
if (mylock){
done = 0;
int my_index = (warp_index[threadIdx.x>>5]++) + ((threadIdx.x>>5)*32);
result[my_index] = threadIdx.x;
myreq = 0;
}
__syncthreads();
} while (!done);
}
int main(){
int *h_pattern, *d_pattern, *h_result, *d_result;
h_pattern = (int *)malloc(num_threads*sizeof(int));
h_result = (int *)malloc(num_threads*sizeof(int));
cudaMalloc(&d_pattern, num_threads*sizeof(int));
cudaMalloc(&d_result, num_threads*sizeof(int));
for (int i = 0; i < num_threads; i++) {h_pattern[i] = rand()&1;}
cudaMemcpy(d_pattern, h_pattern, num_threads*sizeof(int), cudaMemcpyHostToDevice);
cudaMemset(d_result, 0, num_threads*sizeof(int));
test_lock<<<1, num_threads>>>(d_pattern, d_result);
cudaMemcpy(h_result, d_result, num_threads*sizeof(int), cudaMemcpyDeviceToHost);
printf("index, in, out\n");
for (int i = 0; i < num_threads; i++)
printf("%4d, %d, %4d\n", i, h_pattern[i], h_result[i]);
return 0;
}
$ nvcc -arch=sm_61 -o t398 t398.cu
$ cuda-memcheck ./t398
========= CUDA-MEMCHECK
index, in, out
0, 1, 0
1, 0, 2
2, 1, 3
3, 1, 4
4, 1, 5
5, 1, 8
6, 0, 9
7, 0, 11
8, 1, 13
9, 1, 14
10, 0, 20
11, 1, 22
12, 0, 23
13, 1, 27
14, 1, 28
15, 0, 29
16, 0, 30
17, 0, 0
18, 0, 0
19, 0, 0
20, 1, 0
21, 0, 0
22, 1, 0
23, 1, 0
24, 0, 0
25, 0, 0
26, 0, 0
27, 1, 0
28, 1, 0
29, 1, 0
30, 1, 0
31, 0, 0
32, 0, 34
33, 0, 35
34, 1, 36
35, 1, 38
36, 1, 40
37, 0, 41
38, 1, 42
39, 0, 43
40, 1, 45
41, 1, 48
42, 1, 50
43, 1, 52
44, 0, 55
45, 1, 59
46, 0, 60
47, 0, 61
48, 1, 63
49, 0, 0
50, 1, 0
51, 0, 0
52, 1, 0
53, 0, 0
54, 0, 0
55, 1, 0
56, 0, 0
57, 0, 0
58, 0, 0
59, 1, 0
60, 1, 0
61, 1, 0
62, 0, 0
63, 1, 0
64, 0, 65
65, 1, 67
66, 0, 68
67, 1, 69
68, 1, 71
69, 1, 73
70, 0, 75
71, 1, 78
72, 0, 80
73, 1, 86
74, 0, 87
75, 1, 89
76, 0, 94
77, 0, 0
78, 1, 0
79, 0, 0
80, 1, 0
81, 0, 0
82, 0, 0
83, 0, 0
84, 0, 0
85, 0, 0
86, 1, 0
87, 1, 0
88, 0, 0
89, 1, 0
90, 0, 0
91, 0, 0
92, 0, 0
93, 0, 0
94, 1, 0
95, 0, 0
96, 0, 99
97, 0, 100
98, 0, 104
99, 1, 105
100, 1, 106
101, 0, 108
102, 0, 112
103, 0, 115
104, 1, 116
105, 1, 117
106, 1, 119
107, 0, 121
108, 1, 122
109, 0, 123
110, 0, 124
111, 0, 125
112, 1, 126
113, 0, 127
114, 0, 0
115, 1, 0
116, 1, 0
117, 1, 0
118, 0, 0
119, 1, 0
120, 0, 0
121, 1, 0
122, 1, 0
123, 1, 0
124, 1, 0
125, 1, 0
126, 1, 0
127, 1, 0
128, 1, 128
129, 1, 129
130, 1, 130
131, 0, 132
132, 1, 133
133, 1, 135
134, 0, 137
135, 1, 138
136, 0, 141
137, 1, 143
138, 1, 144
139, 0, 145
140, 0, 149
141, 1, 151
142, 0, 153
143, 1, 155
144, 1, 157
145, 1, 158
146, 0, 159
147, 0, 0
148, 0, 0
149, 1, 0
150, 0, 0
151, 1, 0
152, 0, 0
153, 1, 0
154, 0, 0
155, 1, 0
156, 0, 0
157, 1, 0
158, 1, 0
159, 1, 0
160, 1, 160
161, 0, 164
162, 0, 166
163, 0, 172
164, 1, 174
165, 0, 175
166, 1, 176
167, 0, 177
168, 0, 178
169, 0, 181
170, 0, 182
171, 0, 184
172, 1, 185
173, 0, 187
174, 1, 189
175, 1, 190
176, 1, 191
177, 1, 0
178, 1, 0
179, 0, 0
180, 0, 0
181, 1, 0
182, 1, 0
183, 0, 0
184, 1, 0
185, 1, 0
186, 0, 0
187, 1, 0
188, 0, 0
189, 1, 0
190, 1, 0
191, 1, 0
192, 1, 192
193, 1, 193
194, 0, 196
195, 0, 197
196, 1, 199
197, 1, 202
198, 0, 203
199, 1, 204
200, 0, 212
201, 0, 213
202, 1, 214
203, 1, 217
204, 1, 219
205, 0, 221
206, 0, 223
207, 0, 0
208, 0, 0
209, 0, 0
210, 0, 0
211, 0, 0
212, 1, 0
213, 1, 0
214, 1, 0
215, 0, 0
216, 0, 0
217, 1, 0
218, 0, 0
219, 1, 0
220, 0, 0
221, 1, 0
222, 0, 0
223, 1, 0
224, 0, 226
225, 0, 227
226, 1, 230
227, 1, 234
228, 0, 235
229, 0, 236
230, 1, 239
231, 0, 242
232, 0, 243
233, 0, 248
234, 1, 250
235, 1, 251
236, 1, 252
237, 0, 255
238, 0, 0
239, 1, 0
240, 0, 0
241, 0, 0
242, 1, 0
243, 1, 0
244, 0, 0
245, 0, 0
246, 0, 0
247, 0, 0
248, 1, 0
249, 0, 0
250, 1, 0
251, 1, 0
252, 1, 0
253, 0, 0
254, 0, 0
255, 1, 0
256, 0, 261
257, 0, 267
258, 0, 273
259, 0, 274
260, 0, 277
261, 1, 278
262, 0, 279
263, 0, 280
264, 0, 282
265, 0, 285
266, 0, 286
267, 1, 287
268, 0, 0
269, 0, 0
270, 0, 0
271, 0, 0
272, 0, 0
273, 1, 0
274, 1, 0
275, 0, 0
276, 0, 0
277, 1, 0
278, 1, 0
279, 1, 0
280, 1, 0
281, 0, 0
282, 1, 0
283, 0, 0
284, 0, 0
285, 1, 0
286, 1, 0
287, 1, 0
288, 1, 288
289, 0, 290
290, 1, 291
291, 1, 292
292, 1, 295
293, 0, 305
294, 0, 306
295, 1, 308
296, 0, 310
297, 0, 314
298, 0, 315
299, 0, 319
300, 0, 0
301, 0, 0
302, 0, 0
303, 0, 0
304, 0, 0
305, 1, 0
306, 1, 0
307, 0, 0
308, 1, 0
309, 0, 0
310, 1, 0
311, 0, 0
312, 0, 0
313, 0, 0
314, 1, 0
315, 1, 0
316, 0, 0
317, 0, 0
318, 0, 0
319, 1, 0
320, 0, 321
321, 1, 322
322, 1, 324
323, 0, 325
324, 1, 326
325, 1, 327
326, 1, 328
327, 1, 330
328, 1, 331
329, 0, 333
330, 1, 334
331, 1, 336
332, 0, 343
333, 1, 345
334, 1, 0
335, 0, 0
336, 1, 0
337, 0, 0
338, 0, 0
339, 0, 0
340, 0, 0
341, 0, 0
342, 0, 0
343, 1, 0
344, 0, 0
345, 1, 0
346, 0, 0
347, 0, 0
348, 0, 0
349, 0, 0
350, 0, 0
351, 0, 0
352, 1, 352
353, 1, 353
354, 0, 355
355, 1, 359
356, 0, 364
357, 0, 365
358, 0, 366
359, 1, 369
360, 0, 372
361, 0, 373
362, 0, 374
363, 0, 377
364, 1, 380
365, 1, 382
366, 1, 383
367, 0, 0
368, 0, 0
369, 1, 0
370, 0, 0
371, 0, 0
372, 1, 0
373, 1, 0
374, 1, 0
375, 0, 0
376, 0, 0
377, 1, 0
378, 0, 0
379, 0, 0
380, 1, 0
381, 0, 0
382, 1, 0
383, 1, 0
384, 1, 384
385, 1, 385
386, 0, 387
387, 1, 388
388, 1, 391
389, 0, 397
390, 0, 401
391, 1, 408
392, 0, 410
393, 0, 411
394, 0, 412
395, 0, 0
396, 0, 0
397, 1, 0
398, 0, 0
399, 0, 0
400, 0, 0
401, 1, 0
402, 0, 0
403, 0, 0
404, 0, 0
405, 0, 0
406, 0, 0
407, 0, 0
408, 1, 0
409, 0, 0
410, 1, 0
411, 1, 0
412, 1, 0
413, 0, 0
414, 0, 0
415, 0, 0
416, 1, 416
417, 0, 419
418, 0, 423
419, 1, 424
420, 0, 426
421, 0, 427
422, 0, 428
423, 1, 429
424, 1, 430
425, 0, 433
426, 1, 436
427, 1, 438
428, 1, 439
429, 1, 443
430, 1, 447
431, 0, 0
432, 0, 0
433, 1, 0
434, 0, 0
435, 0, 0
436, 1, 0
437, 0, 0
438, 1, 0
439, 1, 0
440, 0, 0
441, 0, 0
442, 0, 0
443, 1, 0
444, 0, 0
445, 0, 0
446, 0, 0
447, 1, 0
448, 0, 453
449, 0, 454
450, 0, 455
451, 0, 456
452, 0, 459
453, 1, 461
454, 1, 462
455, 1, 464
456, 1, 465
457, 0, 466
458, 0, 468
459, 1, 470
460, 0, 471
461, 1, 473
462, 1, 474
463, 0, 476
464, 1, 477
465, 1, 478
466, 1, 479
467, 0, 0
468, 1, 0
469, 0, 0
470, 1, 0
471, 1, 0
472, 0, 0
473, 1, 0
474, 1, 0
475, 0, 0
476, 1, 0
477, 1, 0
478, 1, 0
479, 1, 0
480, 1, 480
481, 0, 483
482, 0, 484
483, 1, 485
484, 1, 486
485, 1, 489
486, 1, 490
487, 0, 492
488, 0, 496
489, 1, 497
490, 1, 500
491, 0, 503
492, 1, 504
493, 0, 505
494, 0, 506
495, 0, 507
496, 1, 509
497, 1, 511
498, 0, 0
499, 0, 0
500, 1, 0
501, 0, 0
502, 0, 0
503, 1, 0
504, 1, 0
505, 1, 0
506, 1, 0
507, 1, 0
508, 0, 0
509, 1, 0
510, 0, 0
511, 1, 0
512, 1, 512
513, 0, 517
514, 0, 520
515, 0, 531
516, 0, 534
517, 1, 536
518, 0, 538
519, 0, 539
520, 1, 540
521, 0, 541
522, 0, 0
523, 0, 0
524, 0, 0
525, 0, 0
526, 0, 0
527, 0, 0
528, 0, 0
529, 0, 0
530, 0, 0
531, 1, 0
532, 0, 0
533, 0, 0
534, 1, 0
535, 0, 0
536, 1, 0
537, 0, 0
538, 1, 0
539, 1, 0
540, 1, 0
541, 1, 0
542, 0, 0
543, 0, 0
544, 0, 545
545, 1, 549
546, 0, 551
547, 0, 552
548, 0, 554
549, 1, 555
550, 0, 557
551, 1, 558
552, 1, 565
553, 0, 568
554, 1, 569
555, 1, 570
556, 0, 571
557, 1, 572
558, 1, 574
559, 0, 575
560, 0, 0
561, 0, 0
562, 0, 0
563, 0, 0
564, 0, 0
565, 1, 0
566, 0, 0
567, 0, 0
568, 1, 0
569, 1, 0
570, 1, 0
571, 1, 0
572, 1, 0
573, 0, 0
574, 1, 0
575, 1, 0
576, 1, 576
577, 0, 578
578, 1, 579
579, 1, 580
580, 1, 581
581, 1, 582
582, 1, 584
583, 0, 586
584, 1, 587
585, 0, 589
586, 1, 592
587, 1, 595
588, 0, 596
589, 1, 597
590, 0, 598
591, 0, 601
592, 1, 602
593, 0, 603
594, 0, 604
595, 1, 605
596, 1, 0
597, 1, 0
598, 1, 0
599, 0, 0
600, 0, 0
601, 1, 0
602, 1, 0
603, 1, 0
604, 1, 0
605, 1, 0
606, 0, 0
607, 0, 0
608, 1, 608
609, 1, 609
610, 1, 610
611, 0, 615
612, 0, 616
613, 0, 617
614, 0, 618
615, 1, 619
616, 1, 621
617, 1, 622
618, 1, 623
619, 1, 624
620, 0, 625
621, 1, 626
622, 1, 631
623, 1, 632
624, 1, 636
625, 1, 637
626, 1, 0
627, 0, 0
628, 0, 0
629, 0, 0
630, 0, 0
631, 1, 0
632, 1, 0
633, 0, 0
634, 0, 0
635, 0, 0
636, 1, 0
637, 1, 0
638, 0, 0
639, 0, 0
640, 0, 643
641, 0, 647
642, 0, 648
643, 1, 649
644, 0, 653
645, 0, 654
646, 0, 655
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648, 1, 658
649, 1, 659
650, 0, 660
651, 0, 665
652, 0, 666
653, 1, 667
654, 1, 669
655, 1, 670
656, 1, 0
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659, 1, 0
660, 1, 0
661, 0, 0
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714, 1, 720
715, 1, 721
716, 0, 726
717, 0, 727
718, 1, 728
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720, 1, 730
721, 1, 731
722, 0, 733
723, 0, 734
724, 0, 0
725, 0, 0
726, 1, 0
727, 1, 0
728, 1, 0
729, 1, 0
730, 1, 0
731, 1, 0
732, 0, 0
733, 1, 0
734, 1, 0
735, 0, 0
736, 0, 737
737, 1, 738
738, 1, 740
739, 0, 741
740, 1, 742
741, 1, 744
742, 1, 746
743, 0, 747
744, 1, 749
745, 0, 750
746, 1, 753
747, 1, 756
748, 0, 760
749, 1, 761
750, 1, 765
751, 0, 0
752, 0, 0
753, 1, 0
754, 0, 0
755, 0, 0
756, 1, 0
757, 0, 0
758, 0, 0
759, 0, 0
760, 1, 0
761, 1, 0
762, 0, 0
763, 0, 0
764, 0, 0
765, 1, 0
766, 0, 0
767, 0, 0
768, 1, 768
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773, 1, 780
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779, 0, 798
780, 1, 0
781, 0, 0
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783, 1, 0
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790, 0, 0
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793, 0, 0
794, 0, 0
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796, 1, 0
797, 0, 0
798, 1, 0
799, 0, 0
800, 0, 803
801, 0, 804
802, 0, 805
803, 1, 806
804, 1, 807
805, 1, 808
806, 1, 810
807, 1, 812
808, 1, 813
809, 0, 814
810, 1, 815
811, 0, 816
812, 1, 817
813, 1, 820
814, 1, 826
815, 1, 829
816, 1, 831
817, 1, 0
818, 0, 0
819, 0, 0
820, 1, 0
821, 0, 0
822, 0, 0
823, 0, 0
824, 0, 0
825, 0, 0
826, 1, 0
827, 0, 0
828, 0, 0
829, 1, 0
830, 0, 0
831, 1, 0
832, 1, 832
833, 1, 833
834, 0, 838
835, 0, 839
836, 0, 842
837, 0, 843
838, 1, 844
839, 1, 847
840, 0, 849
841, 0, 850
842, 1, 851
843, 1, 852
844, 1, 853
845, 0, 856
846, 0, 857
847, 1, 859
848, 0, 863
849, 1, 0
850, 1, 0
851, 1, 0
852, 1, 0
853, 1, 0
854, 0, 0
855, 0, 0
856, 1, 0
857, 1, 0
858, 0, 0
859, 1, 0
860, 0, 0
861, 0, 0
862, 0, 0
863, 1, 0
864, 1, 864
865, 1, 865
866, 0, 867
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868, 1, 869
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870, 0, 873
871, 1, 874
872, 0, 875
873, 1, 877
874, 1, 881
875, 1, 882
876, 0, 885
877, 1, 887
878, 0, 888
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881, 1, 893
882, 1, 894
883, 0, 0
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885, 1, 0
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888, 1, 0
889, 0, 0
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891, 1, 0
892, 0, 0
893, 1, 0
894, 1, 0
895, 0, 0
896, 0, 897
897, 1, 898
898, 1, 899
899, 1, 902
900, 0, 904
901, 0, 907
902, 1, 908
903, 0, 910
904, 1, 913
905, 0, 919
906, 0, 921
907, 1, 922
908, 1, 927
909, 0, 0
910, 1, 0
911, 0, 0
912, 0, 0
913, 1, 0
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915, 0, 0
916, 0, 0
917, 0, 0
918, 0, 0
919, 1, 0
920, 0, 0
921, 1, 0
922, 1, 0
923, 0, 0
924, 0, 0
925, 0, 0
926, 0, 0
927, 1, 0
928, 1, 928
929, 0, 931
930, 0, 933
931, 1, 935
932, 0, 936
933, 1, 938
934, 0, 939
935, 1, 942
936, 1, 944
937, 0, 945
938, 1, 946
939, 1, 948
940, 0, 949
941, 0, 950
942, 1, 951
943, 0, 954
944, 1, 958
945, 1, 959
946, 1, 0
947, 0, 0
948, 1, 0
949, 1, 0
950, 1, 0
951, 1, 0
952, 0, 0
953, 0, 0
954, 1, 0
955, 0, 0
956, 0, 0
957, 0, 0
958, 1, 0
959, 1, 0
960, 0, 962
961, 0, 964
962, 1, 965
963, 0, 966
964, 1, 967
965, 1, 968
966, 1, 971
967, 1, 972
968, 1, 973
969, 0, 977
970, 0, 979
971, 1, 985
972, 1, 987
973, 1, 988
974, 0, 991
975, 0, 0
976, 0, 0
977, 1, 0
978, 0, 0
979, 1, 0
980, 0, 0
981, 0, 0
982, 0, 0
983, 0, 0
984, 0, 0
985, 1, 0
986, 0, 0
987, 1, 0
988, 1, 0
989, 0, 0
990, 0, 0
991, 1, 0
992, 0, 993
993, 1, 994
994, 1, 995
995, 1, 997
996, 0, 999
997, 1, 1000
998, 0, 1002
999, 1, 1004
1000, 1, 1005
1001, 0, 1006
1002, 1, 1007
1003, 0, 1009
1004, 1, 1012
1005, 1, 1018
1006, 1, 1019
1007, 1, 1021
1008, 0, 1022
1009, 1, 0
1010, 0, 0
1011, 0, 0
1012, 1, 0
1013, 0, 0
1014, 0, 0
1015, 0, 0
1016, 0, 0
1017, 0, 0
1018, 1, 0
1019, 1, 0
1020, 0, 0
1021, 1, 0
1022, 1, 0
1023, 0, 0
========= ERROR SUMMARY: 0 errors
$
请注意，所有线程都可以继续通过“获取锁”部分而没有任何线程间依赖关系（尽管一次只有一个线程会“获胜”），并注意所有线程都可以继续通过“关键部分”而没有任何线程间依赖。线程依赖。
(*) 请注意，这种情况在 Volta 中得到缓解