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TimDettmersTimDettmers
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Warp specalization 362.
1 parent cabcd9b commit 7cc8ff4

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3 files changed

+60
-51
lines changed

3 files changed

+60
-51
lines changed

‎csrc/kernels.cu‎

Lines changed: 54 additions & 46 deletions
Original file line numberDiff line numberDiff line change
@@ -3041,7 +3041,7 @@ template <typename T, typename TCAST, int ITEMS> __device__ inline void vector_l
30413041
}
30423042
}
30433043

3044-
#define WARPS 2
3044+
#define WARPS 4
30453045
template <typename T, int BITS, int THREADS> __global__ void gemm_device(int M, int N, int K, T * __restrict__ const A, T* B, T * out, int lda, int ldb, int ldc)
30463046
{
30473047

@@ -3056,17 +3056,18 @@ template <typename T, int BITS, int THREADS> __global__ void gemm_device(int M,
30563056
const int warp_id = threadIdx.x / 32;
30573057
const int half_warp_id = threadIdx.x / 16;
30583058
const int half_warp_lane = threadIdx.x % 16;
3059+
const int batch_size_warps = (WARPS-1)*2;
30593060

30603061
T local_A[1];
30613062
T local_B[8];
30623063

3063-
const int a_tile_offset = 32*16 + 16;
3064-
const int b_tile_offset = 16*8 + 16;
3064+
const int a_tile_offset = (32*16 + 16);
3065+
const int b_tile_offset = (16*8 + 16);
30653066
const int c_tile_offset = 32*8 + 24;
30663067

3067-
__shared__ T smem_A[WARPS*32*16 + (16*(WARPS-1))];
3068-
__shared__ T smem_B[WARPS*16*8 + (16*(WARPS-1))];
3069-
__shared__ T smem_C[WARPS*32*8 + (24*(WARPS-1))];
3068+
__shared__ T smem_A[2*batch_size_warps*32*16 + (2*16*(batch_size_warps-1))];
3069+
__shared__ T smem_B[2*batch_size_warps*16*8 + (2*16*(batch_size_warps-1))];
3070+
__shared__ T smem_C[32*8];
30703071

30713072
wmma::fragment<wmma::matrix_a, 32, 8, 16, half, wmma::row_major> a_frag;
30723073
wmma::fragment<wmma::matrix_b, 32, 8, 16, half, wmma::col_major> b_frag;
@@ -3091,63 +3092,68 @@ template <typename T, int BITS, int THREADS> __global__ void gemm_device(int M,
30913092

30923093
//int block_idx = 0;
30933094
//for(int base_idx = 0; base_idx < K; base_idx+=blockDim.x)
3094-
for(int base_idx = 0; base_idx < K; base_idx+=blockDim.x)
3095+
int ticktock = 0;
3096+
int idx = 0 + threadIdx.x;
3097+
// prefetch
3098+
if(idx < K && warp_id < (WARPS-1))
30953099
{
3096-
int idx = base_idx + threadIdx.x;
3100+
local_A[0] = A[idx];
30973101

3098-
for(int k = 0; k < 2; k++)
3099-
{
3100-
if(k == 0)
3101-
{
3102-
if(idx < K)
3103-
{
3104-
local_A[0] = A[idx];
3102+
#pragma unroll 8
3103+
for(int col = 0; col < 8; col++)
3104+
local_B[col] = B[(col_offset+col)*ldb+idx];
31053105

3106-
#pragma unroll 8
3107-
for(int col = 0; col < 8; col++)
3108-
local_B[col] = B[(col_offset+col)*ldb+idx];
3109-
}
3106+
smem_A[half_warp_lane + (half_warp_id*a_tile_offset)] = local_A[0];
31103107

3111-
}
3112-
3113-
if(idx >= K)
3114-
{
3115-
smem_A[threadIdx.x] = 0.0f;
3116-
//smem_B[threadIdx.x] = 0.0f;
3117-
}
3118-
else
3119-
{
3120-
if((k == 0 && half_warp_id % 2 == 0) ||
3121-
(k == 1 && half_warp_id % 2 == 1))
3122-
{
3123-
smem_A[half_warp_lane + (warp_id*a_tile_offset)] = local_A[0];
3108+
#pragma unroll 8
3109+
for(int col = 0; col < 8; col++)
3110+
smem_B[half_warp_lane + (half_warp_id*b_tile_offset) + (col*16)] = local_B[col];
3111+
}
3112+
ticktock = ticktock == 0 ? 1 : 0;
31243113

3125-
#pragma unroll 8
3126-
for(int col = 0; col < 8; col++)
3127-
smem_B[half_warp_lane + (warp_id*b_tile_offset) + (col*16)] = local_B[col];
3128-
}
3129-
}
3114+
for(int base_idx = 0; base_idx < K; base_idx+=blockDim.x-32)
3115+
{
3116+
idx = base_idx + threadIdx.x;
31303117

3131-
__syncthreads();
3118+
__syncthreads();
3119+
if(idx < K && warp_id < (WARPS-1))
3120+
{
3121+
local_A[0] = A[idx];
31323122

3133-
wmma::load_matrix_sync(a_frag, &(smem_A[warp_id*a_tile_offset]), 16); // 111 mu
3134-
wmma::load_matrix_sync(b_frag, &(smem_B[warp_id*b_tile_offset]), 16); // 35 mu
3135-
wmma::mma_sync(c_frag, a_frag, b_frag, c_frag);
3123+
#pragma unroll 8
3124+
for(int col = 0; col < 8; col++)
3125+
local_B[col] = B[(col_offset+col)*ldb+idx];
3126+
3127+
smem_A[half_warp_lane + (((batch_size_warps*ticktock)+half_warp_id)*a_tile_offset)] = local_A[0];
3128+
3129+
#pragma unroll 8
3130+
for(int col = 0; col < 8; col++)
3131+
smem_B[half_warp_lane + (((batch_size_warps*ticktock)+half_warp_id)*b_tile_offset) + (col*16)] = local_B[col];
31363132
}
3133+
ticktock = ticktock == 0 ? 1 : 0;
3134+
3135+
if(warp_id == (WARPS-1))
3136+
for(int k = 0; k < batch_size_warps; k++)
3137+
{
3138+
wmma::load_matrix_sync(a_frag, &(smem_A[(ticktock*batch_size_warps + k)*a_tile_offset]), 16); // 111 mu
3139+
wmma::load_matrix_sync(b_frag, &(smem_B[(ticktock*batch_size_warps + k)*b_tile_offset]), 16); // 35 mu
3140+
wmma::mma_sync(c_frag, a_frag, b_frag, c_frag);
3141+
}
31373142
}
31383143

31393144
// 129 mu
3140-
wmma::store_matrix_sync(&(smem_C[half_warp_id*c_tile_offset]), c_frag, 8, wmma::mem_row_major);
3145+
if(warp_id == (WARPS-1))
3146+
wmma::store_matrix_sync(&(smem_C[0]), c_frag, 8, wmma::mem_row_major);
31413147
__syncthreads();
31423148

31433149
//if(threadIdx.x >= 16){ return; }
31443150
//printf("%i %f\n", threadIdx.x, (float)smem_C[threadIdx.x]);
31453151

31463152
//if(threadIdx.x < 32)
3147-
if(half_warp_lane < 8 && half_warp_id > 0)
3148-
//local_C[warp_lane] = smem_C[warp_lane + (warp_id*32*8)];
3149-
atomicAdd(&(smem_C[half_warp_lane]), smem_C[half_warp_lane + (half_warp_id*c_tile_offset)]);
3150-
__syncthreads();
3153+
//if(half_warp_lane < 8 && half_warp_id > 0)
3154+
// //local_C[warp_lane] = smem_C[warp_lane + (warp_id*32*8)];
3155+
// atomicAdd(&(smem_C[half_warp_lane]), smem_C[half_warp_lane + (half_warp_id*c_tile_offset)]);
3156+
//__syncthreads();
31513157

31523158
//local_accC[row] = BlockReduce(temp_storage.reduce).Reduce(local_accC[row], cub::Sum());
31533159
//if(threadIdx.x == 0)
@@ -3463,13 +3469,15 @@ __global__ void with_staging_unified(float const* global_in, float * global_out,
34633469

34643470
// these are not used and make no sense, but the compiler needs them
34653471
//template __global__ void gemm_device<float, 16, 128>(int M, int N, int K, float * __restrict__ const A, float* B, float * out, int lda, int ldb, int ldc);
3472+
template __global__ void gemm_device<half, 32, 256>(int M, int N, int K, half * __restrict__ const A, half* B, half * out, int lda, int ldb, int ldc);
34663473
template __global__ void gemm_device<half, 32, 128>(int M, int N, int K, half * __restrict__ const A, half* B, half * out, int lda, int ldb, int ldc);
34673474
//template __global__ void gemm_device<float, 16, 32>(int M, int N, int K, float * __restrict__ const A, float* B, float * out, int lda, int ldb, int ldc);
34683475
template __global__ void gemm_device<half, 32, 32>(int M, int N, int K, half * __restrict__ const A, half* B, half * out, int lda, int ldb, int ldc);
34693476
template __global__ void gemm_device<half, 32, 64>(int M, int N, int K, half * __restrict__ const A, half* B, half * out, int lda, int ldb, int ldc);
34703477
// these are not used and make no sense, but the compiler needs them
34713478

34723479
//template __global__ void gemm_device<float, 32, 128>(int M, int N, int K, float * __restrict__ const A, float* B, float * out, int lda, int ldb, int ldc);
3480+
template __global__ void gemm_device<half, 16, 256>(int M, int N, int K, half * __restrict__ const A, half* B, half * out, int lda, int ldb, int ldc);
34733481
template __global__ void gemm_device<half, 16, 128>(int M, int N, int K, half * __restrict__ const A, half* B, half * out, int lda, int ldb, int ldc);
34743482
//template __global__ void gemm_device<float, 32, 32>(int M, int N, int K, float * __restrict__ const A, float* B, float * out, int lda, int ldb, int ldc);
34753483
template __global__ void gemm_device<half, 16, 32>(int M, int N, int K, half * __restrict__ const A, half* B, half * out, int lda, int ldb, int ldc);

‎csrc/ops.cu‎

Lines changed: 3 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -692,9 +692,10 @@ template <typename T> void gemm_host(int m, int n, int k, T * A, T* B, T * out
692692
//gemm_device<T, 32, 128><<< num_blocks, 128, 0, 0 >>>(m, n, k, A, B, out, lda, ldb, ldc);
693693
//gemm_device<T, 32, 32><<< num_blocks, 32, 0, 0 >>>(m, n, k, A, B, out, lda, ldb, ldc);
694694
if(bits == 16)
695-
//gemm_device<T, 16, 128><<< num_blocks, 128, 0, 0 >>>(m, n, k, A, B, out, lda, ldb, ldc);
695+
//gemm_device<T, 16, 256><<< num_blocks, 256, 0, 0 >>>(m, n, k, A, B, out, lda, ldb, ldc);
696+
gemm_device<T, 16, 128><<< num_blocks, 128, 0, 0 >>>(m, n, k, A, B, out, lda, ldb, ldc);
696697
//gemm_device<T, 16, 32><<< num_blocks, 32, 0, 0 >>>(m, n, k, A, B, out, lda, ldb, ldc);
697-
gemm_device<T, 16, 64><<< num_blocks, 32, 0, 0 >>>(m, n, k, A, B, out, lda, ldb, ldc);
698+
//gemm_device<T, 16, 64><<< num_blocks, 64, 0, 0 >>>(m, n, k, A, B, out, lda, ldb, ldc);
698699
}
699700

700701
template <typename T> void gemm_4bit_inference(int m, int n, int k, T * A, unsigned char* B, float *absmax, T * out, int lda, int ldb, int ldc, int blocksize)

‎tests/test_functional.py‎

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -2370,10 +2370,10 @@ def test_cutlass3_gemm(dtype):
23702370

23712371
C1 = torch.matmul(A, B.t())
23722372
C2 = F.cutlass3_gemm(A, B.t())
2373-
#print(C1)
2374-
#print(C2)
2373+
print(C1)
2374+
print(C2)
23752375

2376-
torch.testing.assert_close(C1, C2, atol=1e-05, rtol=0.05)
2376+
torch.testing.assert_close(C1, C2, atol=1e-05, rtol=0.06)
23772377

23782378
#@pytest.mark.parametrize("dtype", [torch.float32, torch.float16], ids=['fp32', 'fp16'])
23792379
@pytest.mark.parametrize("dtype", [torch.float16], ids=['fp16'])

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