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| 1 | +/** |
| 2 | + * MIT License |
| 3 | + * |
| 4 | + * Copyright (c) 2025 MetaX Integrated Circuits (Shanghai) Co., Ltd. |
| 5 | + * All rights reserved. |
| 6 | + * |
| 7 | + * Permission is hereby granted, free of charge, to any person obtaining a copy |
| 8 | + * of this software and associated documentation files (the "Software"), to deal |
| 9 | + * in the Software without restriction, including without limitation the rights |
| 10 | + * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell |
| 11 | + * copies of the Software, and to permit persons to whom the Software is |
| 12 | + * furnished to do so, subject to the following conditions: |
| 13 | + * |
| 14 | + * The above copyright notice and this permission notice shall be included in all |
| 15 | + * copies or substantial portions of the Software. |
| 16 | + * |
| 17 | + * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| 18 | + * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| 19 | + * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| 20 | + * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| 21 | + * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| 22 | + * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| 23 | + * SOFTWARE. |
| 24 | + * */ |
| 25 | +#include <cstdint> |
| 26 | +#include "../cuda/cuda_sm_kernel.h" |
| 27 | + |
| 28 | +namespace UC::Trans { |
| 29 | + |
| 30 | +#define CUDA_TRANS_UNIT_SIZE (sizeof(uint4) * 2) |
| 31 | +#define CUDA_TRANS_BLOCK_NUMBER (32) |
| 32 | +#define CUDA_TRANS_BLOCK_SIZE (256) |
| 33 | +#define CUDA_TRANS_THREAD_NUMBER (CUDA_TRANS_BLOCK_NUMBER * CUDA_TRANS_BLOCK_SIZE) |
| 34 | + |
| 35 | +inline __device__ void CudaCopyUnit(const uint8_t* __restrict__ src, |
| 36 | + volatile uint8_t* __restrict__ dst) |
| 37 | +{ |
| 38 | + const uint4* src4 = reinterpret_cast<const uint4*>(src); |
| 39 | + uint4 lo = __ldcs(src4); |
| 40 | + uint4 hi = __ldcs(src4 + 1); |
| 41 | + |
| 42 | + uint8_t* nv_dst = const_cast<uint8_t*>(dst); |
| 43 | + uint4* dst4 = reinterpret_cast<uint4*>(nv_dst); |
| 44 | + __stcg(dst4, lo); |
| 45 | + __stcg(dst4 + 1, hi); |
| 46 | +} |
| 47 | + |
| 48 | +__global__ void CudaCopyKernel(const void** src, void** dst, size_t size, size_t num) |
| 49 | +{ |
| 50 | + auto length = size * num; |
| 51 | + auto offset = (blockIdx.x * blockDim.x + threadIdx.x) * CUDA_TRANS_UNIT_SIZE; |
| 52 | + while (offset + CUDA_TRANS_UNIT_SIZE <= length) { |
| 53 | + auto idx = offset / size; |
| 54 | + auto off = offset % size; |
| 55 | + auto host = ((const uint8_t*)src[idx]) + off; |
| 56 | + auto device = ((uint8_t*)dst[idx]) + off; |
| 57 | + CudaCopyUnit(host, device); |
| 58 | + offset += CUDA_TRANS_THREAD_NUMBER * CUDA_TRANS_UNIT_SIZE; |
| 59 | + } |
| 60 | +} |
| 61 | + |
| 62 | +__global__ void CudaCopyKernel(const void** src, void* dst, size_t size, size_t num) |
| 63 | +{ |
| 64 | + auto length = size * num; |
| 65 | + auto offset = (blockIdx.x * blockDim.x + threadIdx.x) * CUDA_TRANS_UNIT_SIZE; |
| 66 | + while (offset + CUDA_TRANS_UNIT_SIZE <= length) { |
| 67 | + auto idx = offset / size; |
| 68 | + auto off = offset % size; |
| 69 | + auto host = ((const uint8_t*)src[idx]) + off; |
| 70 | + auto device = ((uint8_t*)dst) + offset; |
| 71 | + CudaCopyUnit(host, device); |
| 72 | + offset += CUDA_TRANS_THREAD_NUMBER * CUDA_TRANS_UNIT_SIZE; |
| 73 | + } |
| 74 | +} |
| 75 | + |
| 76 | +__global__ void CudaCopyKernel(const void* src, void** dst, size_t size, size_t num) |
| 77 | +{ |
| 78 | + auto length = size * num; |
| 79 | + auto offset = (blockIdx.x * blockDim.x + threadIdx.x) * CUDA_TRANS_UNIT_SIZE; |
| 80 | + while (offset + CUDA_TRANS_UNIT_SIZE <= length) { |
| 81 | + auto idx = offset / size; |
| 82 | + auto off = offset % size; |
| 83 | + auto host = ((const uint8_t*)src) + offset; |
| 84 | + auto device = ((uint8_t*)dst[idx]) + off; |
| 85 | + CudaCopyUnit(host, device); |
| 86 | + offset += CUDA_TRANS_THREAD_NUMBER * CUDA_TRANS_UNIT_SIZE; |
| 87 | + } |
| 88 | +} |
| 89 | + |
| 90 | +cudaError_t CudaSMCopyAsync(void* src[], void* dst[], size_t size, size_t number, |
| 91 | + cudaStream_t stream) |
| 92 | +{ |
| 93 | + CudaCopyKernel<<<CUDA_TRANS_BLOCK_NUMBER, CUDA_TRANS_BLOCK_SIZE, 0, stream>>>(src, dst, size, |
| 94 | + number); |
| 95 | + return cudaGetLastError(); |
| 96 | +} |
| 97 | + |
| 98 | +cudaError_t CudaSMCopyAsync(void* src[], void* dst, size_t size, size_t number, cudaStream_t stream) |
| 99 | +{ |
| 100 | + CudaCopyKernel<<<CUDA_TRANS_BLOCK_NUMBER, CUDA_TRANS_BLOCK_SIZE, 0, stream>>>( |
| 101 | + (const void**)src, dst, size, number); |
| 102 | + return cudaGetLastError(); |
| 103 | +} |
| 104 | + |
| 105 | +cudaError_t CudaSMCopyAsync(void* src, void* dst[], size_t size, size_t number, cudaStream_t stream) |
| 106 | +{ |
| 107 | + CudaCopyKernel<<<CUDA_TRANS_BLOCK_NUMBER, CUDA_TRANS_BLOCK_SIZE, 0, stream>>>(src, dst, size, |
| 108 | + number); |
| 109 | + return cudaGetLastError(); |
| 110 | +} |
| 111 | + |
| 112 | +} // namespace UC::Trans |
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