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CUDA performance optimizations #1530

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merged 8 commits into from
May 25, 2023
Merged

CUDA performance optimizations #1530

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fbf5588
xor hack
JohannesGaessler May 19, 2023
1a78710
block y dim
JohannesGaessler May 19, 2023
82cf01f
loop unrolling
JohannesGaessler May 19, 2023
17dc4c5
Fixed cmake LLAMA_CUDA_BY option
JohannesGaessler May 20, 2023
5d0cf99
Removed hipblas compatibility code
JohannesGaessler May 20, 2023
e199938
Define GGML_CUDA_DMMV_BLOCK_Y if not defined
JohannesGaessler May 20, 2023
98bfee0
Fewer iters, more ops per iter
JohannesGaessler May 21, 2023
d45df1b
Renamed DMMV X/Y compilation options
JohannesGaessler May 23, 2023
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Define GGML_CUDA_DMMV_BLOCK_Y if not defined
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@JohannesGaessler
JohannesGaessler committed May 23, 2023
commit e199938a3a6e0c9515d6cd63b3161926483e84ed
6 changes: 5 additions & 1 deletion ggml-cuda.cu
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Expand Up @@ -85,7 +85,11 @@ static_assert(sizeof(block_q8_0) == sizeof(ggml_fp16_t) + QK8_0, "wrong q8_0 blo

#define CUDA_MUL_BLOCK_SIZE 256
#define CUDA_DEQUANTIZE_BLOCK_SIZE 256
#define GGML_CUDA_DMMV_BLOCK_X 32 // dmmv = dequantize_mul_mat_vec
// dmmv = dequantize_mul_mat_vec
#define GGML_CUDA_DMMV_BLOCK_X 32
#ifndef GGML_CUDA_DMMV_BLOCK_Y
#define GGML_CUDA_DMMV_BLOCK_Y 1 // can by set by compiler option LLAMA_CUDA_BY
#endif

static __global__ void mul_f32(const float * x, const float * y, float * dst, const int kx, const int ky) {
const int i = blockDim.x*blockIdx.x + threadIdx.x;
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