"test/vscode:/vscode.git/clone" did not exist on "5652c565352c73889b3a39a7e2a014ca4c5dafcb"
blockwise_gemm.cuh 26.9 KB
Newer Older
Chao Liu's avatar
Chao Liu committed
1
#pragma once
2
#include "threadwise_gemm.cuh"
Chao Liu's avatar
Chao Liu committed
3
4
5
6

template <unsigned BlockSize,
          class BlockMatrixA,
          class BlockMatrixB,
Chao Liu's avatar
Chao Liu committed
7
          class ThreadMatrixC,
Chao Liu's avatar
Chao Liu committed
8
9
          bool TransA,
          bool TransB,
Chao Liu's avatar
Chao Liu committed
10
          bool TransC,
Chao Liu's avatar
Chao Liu committed
11
12
          unsigned BlockMatrixStrideA,
          unsigned BlockMatrixStrideB,
Chao Liu's avatar
Chao Liu committed
13
14
          unsigned ThreadMatrixStrideC,
          unsigned BatchSize,
Chao Liu's avatar
Chao Liu committed
15
          unsigned BatchPerThread,
Chao Liu's avatar
Chao Liu committed
16
17
          unsigned KPerThreadLoop,
          bool DistributeThreadAlongColumnFirst>
18
struct Blockwise1dStridedBatchedGemmBlockABlockBThreadC
Chao Liu's avatar
Chao Liu committed
19
{
Chao Liu's avatar
Chao Liu committed
20
21
22
    unsigned mMyThreadOffsetA = 0;
    unsigned mMyThreadOffsetB = 0;

Chao Liu's avatar
Chao Liu committed
23
24
    struct MatrixIndex
    {
Chao Liu's avatar
Chao Liu committed
25
26
27
        unsigned batch;
        unsigned row;
        unsigned col;
Chao Liu's avatar
Chao Liu committed
28
29
    };

30
    __device__ Blockwise1dStridedBatchedGemmBlockABlockBThreadC()
Chao Liu's avatar
Chao Liu committed
31
    {
Chao Liu's avatar
Chao Liu committed
32
33
        const auto a_block_mtx = BlockMatrixA{}; // constexpr doesn't compile
        const auto b_block_mtx = BlockMatrixB{}; // constexpr doesn't compile
Chao Liu's avatar
Chao Liu committed
34

Chao Liu's avatar
Chao Liu committed
35
        const auto c_thread_mtx_index = GetBeginOfThreadMatrixC(get_thread_local_1d_id());
Chao Liu's avatar
Chao Liu committed
36

Chao Liu's avatar
Chao Liu committed
37
38
39
        mMyThreadOffsetA = c_thread_mtx_index.batch * BlockMatrixStrideA +
                           ((!TransA) ? a_block_mtx.Get1dIndex(c_thread_mtx_index.row, 0)
                                      : a_block_mtx.Get1dIndex(0, c_thread_mtx_index.row));
Chao Liu's avatar
Chao Liu committed
40

Chao Liu's avatar
Chao Liu committed
41
42
43
        mMyThreadOffsetB = c_thread_mtx_index.batch * BlockMatrixStrideB +
                           ((!TransB) ? b_block_mtx.Get1dIndex(0, c_thread_mtx_index.col)
                                      : b_block_mtx.Get1dIndex(c_thread_mtx_index.col, 0));
Chao Liu's avatar
Chao Liu committed
44
45

#if 0
Chao Liu's avatar
Chao Liu committed
46
47
48
49
50
51
52
53
54
        if(get_thread_local_1d_id() == 0 && get_block_1d_id() == 0)
        {
            print_ConstantMatrixDescriptor(BlockMatrixA{}, "a_block_mtx: ");
            print_ConstantMatrixDescriptor(BlockMatrixB{}, "b_block_mtx: ");
            print_ConstantMatrixDescriptor(ThreadMatrixC{}, "c_thread_mtx: ");

            printf("%u %u, %u %u %u, %u %u\n",
                   get_block_1d_id(),
                   get_thread_local_1d_id(),
Chao Liu's avatar
Chao Liu committed
55
56
57
                   c_thread_mtx_index.batch,
                   c_thread_mtx_index.row,
                   c_thread_mtx_index.col,
Chao Liu's avatar
Chao Liu committed
58
59
60
                   mMyThreadOffsetA,
                   mMyThreadOffsetB);
        }
Chao Liu's avatar
Chao Liu committed
61
#endif
Chao Liu's avatar
Chao Liu committed
62
    }
Chao Liu's avatar
Chao Liu committed
63

Chao Liu's avatar
Chao Liu committed
64
    __device__ MatrixIndex GetBeginOfThreadMatrixC(unsigned thread_id) const
Chao Liu's avatar
Chao Liu committed
65
    {
Chao Liu's avatar
Chao Liu committed
66

Chao Liu's avatar
Chao Liu committed
67
68
69
70
        if(TransA && (!TransB) && (!TransC))
        {
            const auto a_block_mtx = BlockMatrixA{}; // constexpr doesn't compile
            const auto b_block_mtx = BlockMatrixB{}; // constexpr doesn't compile
Chao Liu's avatar
Chao Liu committed
71

Chao Liu's avatar
Chao Liu committed
72
73
            static_assert(a_block_mtx.NRow() == b_block_mtx.NRow(),
                          "wrong! k dimension not consistent!");
Chao Liu's avatar
Chao Liu committed
74

Chao Liu's avatar
Chao Liu committed
75
76
            constexpr unsigned MPerBlock = a_block_mtx.NCol();
            constexpr unsigned NPerBlock = b_block_mtx.NCol();
Chao Liu's avatar
Chao Liu committed
77

Chao Liu's avatar
Chao Liu committed
78
            const auto c_thread_mtx = ThreadMatrixC{}; // constexpr doesn't compile
Chao Liu's avatar
Chao Liu committed
79

Chao Liu's avatar
Chao Liu committed
80
81
82
            // divide thread work
            constexpr unsigned MPerThread = c_thread_mtx.NRow();
            constexpr unsigned NPerThread = c_thread_mtx.NCol();
Chao Liu's avatar
Chao Liu committed
83

Chao Liu's avatar
Chao Liu committed
84
85
86
87
            static_assert(BatchSize % BatchPerThread == 0, "BatchSize % BatchPerThread != 0");
            static_assert(MPerBlock % MPerThread == 0, "MPerBlock % MPerThread != 0");
            static_assert(NPerBlock % NPerThread == 0, "NPerBlock % NPerThread != 0");

Chao Liu's avatar
Chao Liu committed
88
89
90
            constexpr unsigned BatchThreadWork = (BatchSize + BatchPerThread - 1) / BatchPerThread;
            constexpr unsigned MThreadWork     = (MPerBlock + MPerThread - 1) / MPerThread;
            constexpr unsigned NThreadWork     = (NPerBlock + NPerThread - 1) / NPerThread;
Chao Liu's avatar
Chao Liu committed
91

Chao Liu's avatar
Chao Liu committed
92
            static_assert(BlockSize == BatchThreadWork * MThreadWork * NThreadWork,
Chao Liu's avatar
Chao Liu committed
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
                          "wrong! wrong BlockSize");

            if(DistributeThreadAlongColumnFirst)
            {
                // num of operations can be reduced
                const unsigned b_work_id = thread_id / (MThreadWork * NThreadWork);
                unsigned itmp            = thread_id - b_work_id * (MThreadWork * NThreadWork);
                const unsigned m_work_id = itmp / NThreadWork;
                const unsigned n_work_id = itmp - m_work_id * NThreadWork;

                return MatrixIndex{
                    b_work_id * BatchPerThread, m_work_id * MPerThread, n_work_id * NPerThread};
            }
            else
            {
                // not implemented
                assert(false);
            }
        }
        else
        {
            // not implemented
            assert(false);
        }
Chao Liu's avatar
Chao Liu committed
117
118
    }

Chao Liu's avatar
Chao Liu committed
119
    template <class FloatA, class FloatB, class FloatC, class Accumulator>
120
    __device__ void Run(FloatA* const p_a_block,
Chao Liu's avatar
Chao Liu committed
121
122
123
                        FloatB* const p_b_block,
                        FloatC* p_c_thread,
                        Accumulator f_accum) const
Chao Liu's avatar
Chao Liu committed
124
    {
Chao Liu's avatar
Chao Liu committed
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
        if(TransA && (!TransB) && (!TransC))
        {
            constexpr auto True  = Constant<bool, true>{};
            constexpr auto False = Constant<bool, false>{};

            const auto a_block_mtx  = BlockMatrixA{};  // constexpr doesn't compile
            const auto b_block_mtx  = BlockMatrixB{};  // constexpr doesn't compile
            const auto c_thread_mtx = ThreadMatrixC{}; // constexpr doesn't compile

            constexpr unsigned KPerBlock = a_block_mtx.NRow(); // A is transposed

            constexpr unsigned MPerThread = c_thread_mtx.NRow();
            constexpr unsigned NPerThread = c_thread_mtx.NCol();

            // a is transposed, b is not
            const auto a_thread_mtx = make_ConstantMatrixDescriptor(
                Number<KPerThreadLoop>{}, Number<MPerThread>{}); // constexpr doesn't compile

            const auto b_thread_mtx = make_ConstantMatrixDescriptor(
                Number<KPerThreadLoop>{}, Number<NPerThread>{}); // constexpr doesn't compile

            FloatA p_a_thread[a_thread_mtx.GetElementSpace()];
            FloatB p_b_thread[b_thread_mtx.GetElementSpace()];

            // loop over k
            for(unsigned k_begin = 0; k_begin < KPerBlock; k_begin += KPerThreadLoop)
            {
                // read first batch of a, b
                threadwise_matrix_copy(a_block_mtx,
                                       p_a_block + mMyThreadOffsetA +
                                           k_begin * a_block_mtx.RowStride(),
                                       a_thread_mtx,
                                       p_a_thread,
                                       a_thread_mtx.GetLengths());

                threadwise_matrix_copy(b_block_mtx,
                                       p_b_block + mMyThreadOffsetB +
                                           k_begin * b_block_mtx.RowStride(),
                                       b_thread_mtx,
                                       p_b_thread,
                                       b_thread_mtx.GetLengths());

                // loop over batch
                for(unsigned ib = 0; ib + 1 < BatchPerThread; ++ib)
                {
                    // do current batch of gemm
                    threadwise_gemm(a_thread_mtx,
                                    True,
                                    p_a_thread,
                                    b_thread_mtx,
                                    False,
                                    p_b_thread,
                                    c_thread_mtx,
                                    False,
                                    p_c_thread + ib * ThreadMatrixStrideC,
                                    f_accum);

                    // read next batch of a, b
                    if(BlockMatrixStrideA != 0)
                    {
                        threadwise_matrix_copy(a_block_mtx,
                                               p_a_block + mMyThreadOffsetA +
                                                   (ib + 1) * BlockMatrixStrideA +
                                                   +k_begin * a_block_mtx.RowStride(),
                                               a_thread_mtx,
                                               p_a_thread,
                                               a_thread_mtx.GetLengths());
                    }

                    if(BlockMatrixStrideB != 0)
                    {
                        threadwise_matrix_copy(b_block_mtx,
                                               p_b_block + mMyThreadOffsetB +
                                                   (ib + 1) * BlockMatrixStrideB +
                                                   k_begin * b_block_mtx.RowStride(),
                                               b_thread_mtx,
                                               p_b_thread,
                                               b_thread_mtx.GetLengths());
                    }
                }

                // do last batch of gemm
                threadwise_gemm(a_thread_mtx,
                                True,
                                p_a_thread,
                                b_thread_mtx,
                                False,
                                p_b_thread,
                                c_thread_mtx,
                                False,
                                p_c_thread + (BatchPerThread - 1) * ThreadMatrixStrideC,
                                f_accum);
            }
        }
Chao Liu's avatar
Chao Liu committed
219
    }
Chao Liu's avatar
Chao Liu committed
220
};
Chao Liu's avatar
Chao Liu committed
221
222
223
224
225
226
227
228
229
230
231
232

template <unsigned BlockSize,
          class BlockMatrixA,
          class BlockMatrixB,
          class ThreadMatrixC,
          bool TransA,
          bool TransB,
          bool TransC,
          unsigned KPerThreadLoop,
          unsigned MThreadPerCluster,
          unsigned NThreadPerCluster,
          bool DistributeThreadAlongColumnFirst>
233
struct BlockwiseGemmBlockABlockBThreadC
Chao Liu's avatar
Chao Liu committed
234
235
236
237
238
239
{
    unsigned mMyThreadOffsetA = 0;
    unsigned mMyThreadOffsetB = 0;

    struct MatrixIndex
    {
Chao Liu's avatar
Chao Liu committed
240
241
        unsigned row;
        unsigned col;
Chao Liu's avatar
Chao Liu committed
242
243
    };

244
    __device__ BlockwiseGemmBlockABlockBThreadC()
Chao Liu's avatar
Chao Liu committed
245
246
247
248
    {
        const auto a_block_mtx = BlockMatrixA{}; // constexpr doesn't compile
        const auto b_block_mtx = BlockMatrixB{}; // constexpr doesn't compile

Chao Liu's avatar
Chao Liu committed
249
        const auto c_thread_mtx_index = GetBeginOfThreadMatrixC(get_thread_local_1d_id());
Chao Liu's avatar
Chao Liu committed
250

Chao Liu's avatar
Chao Liu committed
251
252
        mMyThreadOffsetA = (!TransA) ? a_block_mtx.Get1dIndex(c_thread_mtx_index.row, 0)
                                     : a_block_mtx.Get1dIndex(0, c_thread_mtx_index.row);
Chao Liu's avatar
Chao Liu committed
253

Chao Liu's avatar
Chao Liu committed
254
255
        mMyThreadOffsetB = (!TransB) ? b_block_mtx.Get1dIndex(0, c_thread_mtx_index.col)
                                     : b_block_mtx.Get1dIndex(c_thread_mtx_index.col, 0);
Chao Liu's avatar
Chao Liu committed
256
257
258
259
260
261
262
263
264
265
266

#if 0
        if(get_thread_local_1d_id() == 0 && get_block_1d_id() == 0)
        {
            print_ConstantMatrixDescriptor(BlockMatrixA{}, "a_block_mtx: ");
            print_ConstantMatrixDescriptor(BlockMatrixB{}, "b_block_mtx: ");
            print_ConstantMatrixDescriptor(ThreadMatrixC{}, "c_thread_mtx: ");

            printf("%u %u, %u %u %u, %u %u\n",
                   get_block_1d_id(),
                   get_thread_local_1d_id(),
Chao Liu's avatar
Chao Liu committed
267
268
269
                   c_thread_mtx_index.batch,
                   c_thread_mtx_index.row,
                   c_thread_mtx_index.col,
Chao Liu's avatar
Chao Liu committed
270
271
272
273
274
275
                   mMyThreadOffsetA,
                   mMyThreadOffsetB);
        }
#endif
    }

Chao Liu's avatar
Chao Liu committed
276
    __device__ MatrixIndex GetBeginOfThreadMatrixC(unsigned thread_id) const
Chao Liu's avatar
Chao Liu committed
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
    {

        if(TransA && (!TransB) && (!TransC))
        {
            const auto a_block_mtx = BlockMatrixA{}; // constexpr doesn't compile
            const auto b_block_mtx = BlockMatrixB{}; // constexpr doesn't compile

            static_assert(a_block_mtx.NRow() == b_block_mtx.NRow(),
                          "wrong! k dimension not consistent!");

            constexpr unsigned MPerBlock = a_block_mtx.NCol();
            constexpr unsigned NPerBlock = b_block_mtx.NCol();

            const auto c_thread_mtx = ThreadMatrixC{}; // constexpr doesn't compile

            // divide thread work
            constexpr unsigned MPerThread = c_thread_mtx.NRow();
            constexpr unsigned NPerThread = c_thread_mtx.NCol();

            static_assert(MPerBlock % (MPerThread * MThreadPerCluster) == 0,
                          "MPerBlock % (MPerThread * MThreadPerCluster) != 0");

            static_assert(NPerBlock % (NPerThread * NThreadPerCluster) == 0,
                          "NPerBlock % (NPerThread * NThreadPerCluster) != 0");

            constexpr unsigned MClusterWork =
                (MPerBlock + MPerThread * MThreadPerCluster - 1) / (MPerThread * MThreadPerCluster);

            constexpr unsigned NClusterWork =
                (NPerBlock + NPerThread * NThreadPerCluster - 1) / (NPerThread * NThreadPerCluster);

            static_assert(BlockSize == (MClusterWork * MThreadPerCluster) *
                                           (NClusterWork * NThreadPerCluster),
                          "wrong! wrong BlockSize");

            if(DistributeThreadAlongColumnFirst)
            {
                const unsigned cluster_work_block_id =
                    thread_id / (MThreadPerCluster * NThreadPerCluster);

                const unsigned thread_work_cluster_id =
                    thread_id - cluster_work_block_id * (MThreadPerCluster * NThreadPerCluster);

Chao Liu's avatar
tune  
Chao Liu committed
320
                const unsigned m_cluster_work_block_id = cluster_work_block_id / NClusterWork;
Chao Liu's avatar
Chao Liu committed
321
                const unsigned n_cluster_work_block_id =
Chao Liu's avatar
tune  
Chao Liu committed
322
                    cluster_work_block_id - m_cluster_work_block_id * NClusterWork;
Chao Liu's avatar
Chao Liu committed
323
324
325
326
327
328
329
330
331
332

                const unsigned m_thread_work_cluster_id =
                    thread_work_cluster_id / NThreadPerCluster;
                const unsigned n_thread_work_cluster_id =
                    thread_work_cluster_id - m_thread_work_cluster_id * NThreadPerCluster;

#if 0
                if(get_block_1d_id() == 0)
                {
                    printf("%u %u, \t"
Chao Liu's avatar
tune  
Chao Liu committed
333
                           "MClusterWork %u MThreadPerCluster %u NClusterWork %u NThreadPerCluster %u \t"
Chao Liu's avatar
Chao Liu committed
334
335
336
337
                           "m_cluster_work_block_id %u n_cluster_work_block_id %u \t"
                           "m_thread_work_cluster_id %u n_thread_work_cluster_id %u \t"
                            "\n",
                            get_block_1d_id(), get_thread_local_1d_id(),
Chao Liu's avatar
tune  
Chao Liu committed
338
                            MClusterWork, MThreadPerCluster, NClusterWork, NThreadPerCluster,
Chao Liu's avatar
Chao Liu committed
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
                            m_cluster_work_block_id, n_cluster_work_block_id,
                            m_thread_work_cluster_id, n_thread_work_cluster_id);
                }
#endif

                return MatrixIndex{m_cluster_work_block_id * (MThreadPerCluster * MPerThread) +
                                       m_thread_work_cluster_id * MPerThread,
                                   n_cluster_work_block_id * (NThreadPerCluster * NPerThread) +
                                       n_thread_work_cluster_id * NPerThread};
            }
            else
            {
                // not implemented
                assert(false);
            }
        }
        else
        {
            // not implemented
            assert(false);
        }
    }

Chao Liu's avatar
Chao Liu committed
362
363
364
365
366
367
368
    // this should be optimized away if input is known
    __device__ static MatrixIndex GetDistanceFromBeginOfThreadMatrixC(unsigned m_in_c,
                                                                      unsigned n_in_c)
    {
        return MatrixIndex{m_in_c, n_in_c};
    }

Chao Liu's avatar
Chao Liu committed
369
    template <class FloatA, class FloatB, class FloatC, class Accumulator>
370
    __device__ void Run(FloatA* const p_a_block,
Chao Liu's avatar
Chao Liu committed
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
419
420
421
422
423
424
425
426
427
428
429
                        FloatB* const p_b_block,
                        FloatC* p_c_thread,
                        Accumulator f_accum) const
    {
        if(TransA && (!TransB) && (!TransC))
        {
            constexpr auto True  = Constant<bool, true>{};
            constexpr auto False = Constant<bool, false>{};

            const auto a_block_mtx  = BlockMatrixA{};  // constexpr doesn't compile
            const auto b_block_mtx  = BlockMatrixB{};  // constexpr doesn't compile
            const auto c_thread_mtx = ThreadMatrixC{}; // constexpr doesn't compile

            constexpr unsigned KPerBlock = a_block_mtx.NRow(); // A is transposed

            constexpr unsigned MPerThread = c_thread_mtx.NRow();
            constexpr unsigned NPerThread = c_thread_mtx.NCol();

            // a is transposed, b is not
            const auto a_thread_mtx = make_ConstantMatrixDescriptor(
                Number<KPerThreadLoop>{}, Number<MPerThread>{}); // constexpr doesn't compile

            const auto b_thread_mtx = make_ConstantMatrixDescriptor(
                Number<KPerThreadLoop>{}, Number<NPerThread>{}); // constexpr doesn't compile

            FloatA p_a_thread[a_thread_mtx.GetElementSpace()];
            FloatB p_b_thread[b_thread_mtx.GetElementSpace()];

            // loop over k
            for(unsigned k_begin = 0; k_begin < KPerBlock; k_begin += KPerThreadLoop)
            {
                threadwise_matrix_copy(a_block_mtx,
                                       p_a_block + mMyThreadOffsetA +
                                           k_begin * a_block_mtx.RowStride(),
                                       a_thread_mtx,
                                       p_a_thread,
                                       a_thread_mtx.GetLengths());

                threadwise_matrix_copy(b_block_mtx,
                                       p_b_block + mMyThreadOffsetB +
                                           k_begin * b_block_mtx.RowStride(),
                                       b_thread_mtx,
                                       p_b_thread,
                                       b_thread_mtx.GetLengths());

                threadwise_gemm(a_thread_mtx,
                                True,
                                p_a_thread,
                                b_thread_mtx,
                                False,
                                p_b_thread,
                                c_thread_mtx,
                                False,
                                p_c_thread,
                                f_accum);
            }
        }
    }
};
Chao Liu's avatar
Chao Liu committed
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641

// if following number are power of 2, index calculation shall be greatly reduced:
//    MPerThreadSubC, NPerThreadSubC, MLevel0Cluster, NLevel0Cluster, MLevel1Cluster, NLevel1Cluster
template <unsigned BlockSize,
          class BlockMatrixA,
          class BlockMatrixB,
          class ThreadMatrixC,
          unsigned MPerThreadSubC,
          unsigned NPerThreadSubC,
          unsigned MLevel0Cluster,
          unsigned NLevel0Cluster,
          unsigned MLevel1Cluster,
          unsigned NLevel1Cluster,
          unsigned KPerThreadLoop>
struct BlockwiseGemmBlockABlockBThreadCTransANormalBNormalC_v2
{
    struct MatrixIndex
    {
        unsigned row;
        unsigned col;
    };

    unsigned mMyThreadOffsetA;
    unsigned mMyThreadOffsetB;

    __device__ BlockwiseGemmBlockABlockBThreadCTransANormalBNormalC_v2()
    {
        constexpr unsigned ThreadPerLevel1Cluster =
            MLevel0Cluster * NLevel0Cluster * MLevel1Cluster * NLevel1Cluster;

        static_assert(BlockSize == ThreadPerLevel1Cluster, "wrong! wrong blocksize\n");

        const auto a_block_mtx  = BlockMatrixA{};  // constexpr doesn't compile
        const auto b_block_mtx  = BlockMatrixB{};  // constexpr doesn't compile
        const auto c_thread_mtx = ThreadMatrixC{}; // constexpr doesn't compile

        static_assert(a_block_mtx.NRow() == b_block_mtx.NRow(),
                      "wrong! K dimension not consistent\n");

        constexpr unsigned M = a_block_mtx.NCol(); // A is transposed
        constexpr unsigned N = b_block_mtx.NCol();
        constexpr unsigned K = a_block_mtx.NRow();

        constexpr unsigned MPerThread = c_thread_mtx.NRow();
        constexpr unsigned NPerThread = c_thread_mtx.NCol();

        static_assert((MPerThread % MPerThreadSubC == 0) && (NPerThread % NPerThreadSubC == 0),
                      "wrong! Cannot evenly divide thread work among repeat \n");

        constexpr unsigned MRepeat = MPerThread / MPerThreadSubC;
        constexpr unsigned NRepeat = NPerThread / NPerThreadSubC;

        static_assert((M % MRepeat == 0) && (N % NRepeat == 0),
                      "wrong! Cannot evenly divide work among repeat\n");

        constexpr unsigned MPerLevel1Cluster = M / MRepeat;
        constexpr unsigned NPerLevel1Cluster = N / NRepeat;

        static_assert((MPerLevel1Cluster % MLevel1Cluster == 0) &&
                          (NPerLevel1Cluster % NLevel1Cluster == 0),
                      "wrong! Cannot evenly divide work among Level1Cluster\n");

        constexpr unsigned MPerLevel0Cluster = MPerLevel1Cluster / MLevel1Cluster;
        constexpr unsigned NPerLevel0Cluster = NPerLevel1Cluster / NLevel1Cluster;

        static_assert((MPerLevel0Cluster % MLevel0Cluster == 0) &&
                          (NPerLevel0Cluster % NLevel0Cluster == 0),
                      "wrong! Cannot evenly divide work among Level0Cluster\n");

        static_assert((MPerThreadSubC == MPerLevel0Cluster / MLevel0Cluster) &&
                          (NPerThreadSubC == NPerLevel0Cluster / NLevel0Cluster),
                      "wrong! thread work size is wrong\n");

        auto c_thread_mtx_index = GetBeginOfThreadMatrixC(get_thread_local_1d_id());

        mMyThreadOffsetA = a_block_mtx.Get1dIndex(0, c_thread_mtx_index.row);
        mMyThreadOffsetB = b_block_mtx.Get1dIndex(0, c_thread_mtx_index.col);
    }

    __device__ static MatrixIndex GetBeginOfThreadMatrixC(unsigned thread_id)
    {
        constexpr unsigned ThreadPerLevel0Cluster = MLevel0Cluster * NLevel0Cluster;

        unsigned level1_id   = thread_id / ThreadPerLevel0Cluster;
        unsigned level1_m_id = level1_id / NLevel1Cluster;
        unsigned level1_n_id = level1_id % NLevel1Cluster;

        unsigned level0_id   = thread_id % ThreadPerLevel0Cluster;
        unsigned level0_m_id = level0_id / NLevel0Cluster;
        unsigned level0_n_id = level0_id % NLevel0Cluster;

        constexpr unsigned MPerLevel0Cluster = MPerThreadSubC * MLevel0Cluster;
        constexpr unsigned NPerLevel0Cluster = NPerThreadSubC * NLevel0Cluster;

        return MatrixIndex{level1_m_id * MPerLevel0Cluster + level0_m_id * MPerThreadSubC,
                           level1_n_id * NPerLevel0Cluster + level0_n_id * NPerThreadSubC};
    }

    // this should be optimized away if input is known
    __device__ static MatrixIndex GetDistanceFromBeginOfThreadMatrixC(unsigned m_in_c,
                                                                      unsigned n_in_c)
    {
        const auto c_thread_mtx = ThreadMatrixC{}; // constexpr doesn't compile

        constexpr unsigned MPerThread = c_thread_mtx.NRow();
        constexpr unsigned NPerThread = c_thread_mtx.NCol();

        constexpr unsigned MRepeat = MPerThread / MPerThreadSubC;
        constexpr unsigned NRepeat = NPerThread / NPerThreadSubC;

        constexpr unsigned MPerLevel1Cluster = MPerThreadSubC * MLevel0Cluster * MLevel1Cluster;
        constexpr unsigned NPerLevel1Cluster = NPerThreadSubC * NLevel0Cluster * NLevel1Cluster;

        unsigned m_repeat = m_in_c / MPerThreadSubC;
        unsigned n_repeat = n_in_c / NPerThreadSubC;

        unsigned m_in_sub_c = m_in_c % MPerThreadSubC;
        unsigned n_in_sub_c = n_in_c % NPerThreadSubC;

        return MatrixIndex{m_repeat * MPerLevel1Cluster + m_in_sub_c,
                           n_repeat * NPerLevel1Cluster + n_in_sub_c};
    }

    template <class FloatA, class FloatB, class FloatC, class Accumulator>
    __device__ void Run(FloatA* const p_a_block,
                        FloatB* const p_b_block,
                        FloatC* p_c_thread,
                        Accumulator f_accum) const
    {
        constexpr auto True  = Constant<bool, true>{};
        constexpr auto False = Constant<bool, false>{};

        const auto a_block_mtx  = BlockMatrixA{};  // constexpr doesn't compile
        const auto b_block_mtx  = BlockMatrixB{};  // constexpr doesn't compile
        const auto c_thread_mtx = ThreadMatrixC{}; // constexpr doesn't compile

        constexpr unsigned M = a_block_mtx.NCol();
        constexpr unsigned N = b_block_mtx.NCol();
        constexpr unsigned K = a_block_mtx.NRow();

        constexpr unsigned MPerThread = c_thread_mtx.NRow();
        constexpr unsigned NPerThread = c_thread_mtx.NCol();

        // thread A, B for GEMM
        const auto a_thread_mtx = make_ConstantMatrixDescriptor(
            Number<KPerThreadLoop>{}, Number<MPerThread>{}); // constexpr doesn't compile

        const auto b_thread_mtx = make_ConstantMatrixDescriptor(
            Number<KPerThreadLoop>{}, Number<NPerThread>{}); // constexpr doesn't compile

        // thread A-sub, B-sub for copy
        const auto a_thread_sub_mtx =
            make_ConstantMatrixDescriptor(Number<KPerThreadLoop>{},
                                          Number<MPerThreadSubC>{},
                                          Number<MPerThread>{}); // constexpr doesn't compile

        const auto b_thread_sub_mtx =
            make_ConstantMatrixDescriptor(Number<KPerThreadLoop>{},
                                          Number<NPerThreadSubC>{},
                                          Number<NPerThread>{}); // constexpr doesn't compile

        FloatA p_a_thread[a_thread_mtx.GetElementSpace()];
        FloatB p_b_thread[b_thread_mtx.GetElementSpace()];

        constexpr unsigned MPerLevel1Cluster = MPerThreadSubC * MLevel0Cluster * MLevel1Cluster;

        constexpr unsigned NPerLevel1Cluster = NPerThreadSubC * NLevel0Cluster * NLevel1Cluster;

        constexpr unsigned MRepeat = MPerThread / MPerThreadSubC;
        constexpr unsigned NRepeat = NPerThread / NPerThreadSubC;

        // loop over k
        for(unsigned k_begin = 0; k_begin < K; k_begin += KPerThreadLoop)
        {
            // copy A-sub to form A
            for(unsigned m_repeat = 0; m_repeat < MRepeat; ++m_repeat)
            {
                threadwise_matrix_copy(a_block_mtx,
                                       p_a_block + mMyThreadOffsetA +
                                           k_begin * a_block_mtx.RowStride() +
                                           m_repeat * MPerLevel1Cluster,
                                       a_thread_sub_mtx,
                                       p_a_thread + m_repeat * MPerThreadSubC,
                                       a_thread_sub_mtx.GetLengths());
            }

            // copy B-sub to form B
            for(unsigned n_repeat = 0; n_repeat < NRepeat; ++n_repeat)
            {
                threadwise_matrix_copy(b_block_mtx,
                                       p_b_block + mMyThreadOffsetB +
                                           k_begin * b_block_mtx.RowStride() +
                                           n_repeat * NPerLevel1Cluster,
                                       b_thread_sub_mtx,
                                       p_b_thread + n_repeat * NPerThreadSubC,
                                       b_thread_sub_mtx.GetLengths());
            }

            // C = A * B
            threadwise_gemm(a_thread_mtx,
                            True,
                            p_a_thread,
                            b_thread_mtx,
                            False,
                            p_b_thread,
                            c_thread_mtx,
                            False,
                            p_c_thread,
                            f_accum);
        }
    }
};