RAW（\u8bfb\u540e\u5199，Read\u2011After\u2011Write）```
\nR2 = R1 + R3;
\nR4 = R2 * R5; \/\/ \u4f9d\u8d56 R2 \u7684\u7ed3\u679c，RAW，\u6700\u5e38\u89c1<\/li>\n<\/ul>\n– **WAR（\u5199\u540e\u8bfb，Write\u2011After\u2011Read）**：\u540e\u5199\u8986\u76d6\u524d\u9762\u8fd8\u672a\u8bfb\u53d6\u7684\u6e90；GPU \u786c\u4ef6\u5bc4\u5b58\u5668\u91cd\u547d\u540d\u81ea\u52a8\u6d88\u89e3\u3002
\n– **WAW（\u5199\u540e\u5199，Write\u2011After\u2011Write）**：\u4e24\u6761\u6307\u4ee4\u5199\u540c\u4e00\u4e2a\u5bc4\u5b58\u5668；\u786c\u4ef6\u91cd\u547d\u540d\u6d88\u89e3\u3002<\/p>\n
>
\n> RAW \u662f Kernel \u6027\u80fd\u8c03\u4f18\u6700\u9700\u8981\u5173\u6ce8\u7684\u4f9d\u8d56\u3002\u7f16\u8bd1\u5668\u4f1a\u81ea\u52a8\u505a\u6307\u4ee4\u91cd\u6392\u7f13\u89e3，\u4f46\u4e0d\u80fd\u6253\u7834\u771f\u5b9e\u6570\u636e\u4f9d\u8d56\u3002<\/p>\n
### 2.3 \u5ef6\u8fdf\u9690\u85cf：TLP vs ILP<\/p>\n
GPU \u4e24\u5957\u5ef6\u8fdf\u9690\u85cf\u673a\u5236：<\/p>\n
1. **TLP \u7ebf\u7a0b\u7ea7\u5e76\u884c**：\u591a\u4e2a Warp \u6765\u56de\u5207\u6362，\u7528\u5176\u4ed6 Warp \u7684\u6307\u4ee4\u586b\u5145\u6d41\u6c34\u7ebf\u6c14\u6ce1；\u4f9d\u9760\u9ad8\u5360\u7528\u7387\u3002
\n2. **ILP \u6307\u4ee4\u7ea7\u5e76\u884c**：**\u540c\u4e00\u4e2a\u7ebf\u7a0b\u5185\u90e8**，\u591a\u6761\u4e92\u76f8\u65e0\u4f9d\u8d56\u7684\u6307\u4ee4\u5e76\u884c\u6267\u884c；\u5355\u7ebf\u7a0b\u5185\u90e8\u6316\u6398\u5e76\u884c\u3002<\/p>\n
– \u5185\u5b58\u5bc6\u96c6：\u4f18\u5148\u9760 TLP；
\n– \u8ba1\u7b97\u5bc6\u96c6\u3001\u957f\u5faa\u73af：TLP \u4e0d\u8db3\u65f6，\u5fc5\u987b\u9760 ILP \u8fdb\u4e00\u6b65\u538b\u69a8\u6027\u80fd\u3002<\/p>\n
—<\/p>\n
## 3. \u5e38\u89c1 Warp \u505c\u6ede\u539f\u56e0<\/p>\n
Nsight Compute \u4f1a\u7edf\u8ba1\u5404\u7c7b Warp \u505c\u6ede\u5360\u6bd4\u3002<\/p>\n
| \u505c\u6ede\u7c7b\u578b | \u542b\u4e49 | \u5e94\u5bf9\u7b56\u7565 |
\n| — | — | — |
\n| `memory_throttle` | \u8bbf\u5b58\u961f\u5217\u5df2\u6ee1，\u7b49\u5f85\u5185\u5b58\u5b50\u7cfb\u7edf | \u4f18\u5316\u5185\u5b58\u8bbf\u95ee，\u4fdd\u8bc1\u5408\u5e76\u8bbf\u95ee，\u51cf\u5c11\u5185\u5b58\u4e8b\u52a1 |
\n| `execution_dependency` | \u7b49\u5f85\u524d\u9762\u6307\u4ee4\u8f93\u51fa\u7ed3\u679c（RAW\u4f9d\u8d56） | \u591a\u7d2f\u52a0\u5668\u3001\u5faa\u73af\u5c55\u5f00，\u6253\u788e\u957f\u4f9d\u8d56\u94fe |
\n| `synchronization` | \u7b49\u5f85`__syncthreads()`\u540c\u6b65\u5c4f\u969c | \u51cf\u5c11\u540c\u6b65\u6b21\u6570，\u4f18\u5316\u5206\u5757\u7c92\u5ea6 |
\n| `pipe_busy` | \u76ee\u6807\u6267\u884c\u5355\u5143\u5fd9\u788c（\u5982SFU） | \u51cf\u5c11\u7279\u6b8a\u51fd\u6570\u8c03\u7528，\u4f7f\u7528\u5feb\u901f\u8fd1\u4f3c\u51fd\u6570 |
\n| `not_selected` | Warp\u5c31\u7eea，\u4f46\u8c03\u5ea6\u5668\u6ca1\u6709\u9009\u4e2d\u6267\u884c | \u63d0\u9ad8\u5360\u7528\u7387，\u589e\u52a0\u6d3b\u8dc3 Warp \u6570\u91cf |
\n| `wait` | \u56fa\u5b9a\u5ef6\u8fdf\u7b49\u5f85（\u5e38\u91cf\u5185\u5b58\u7b49） | \u4e00\u822c\u65e0\u9700\u5904\u7406 |
\n| `other` | \u5176\u4ed6\u6742\u9879\u539f\u56e0 | \u7ed3\u5408\u5b8c\u6574profiling\u62a5\u544a\u5b9a\u4f4d |<\/p>\n
>
\n> \u5224\u8bfb\u6280\u5de7：
\n>
\n>
\n> – `execution_dependency`\u5360\u6bd4\u9ad8 \u2192 \u74f6\u9888\u662f**\u6307\u4ee4\u4f9d\u8d56\u94fe\u592a\u957f，\u9700\u8981\u63d0\u5347ILP**
\n> – `memory_throttle`\u5360\u6bd4\u9ad8 \u2192 **\u5185\u5b58\u8bbf\u95ee\u74f6\u9888**<\/p>\n
—<\/p>\n
## 4. \u63d0\u9ad8\u6307\u4ee4\u7ea7\u5e76\u884c\u5ea6\u7684\u65b9\u6cd5<\/p>\n
### 4.1 \u5faa\u73af\u5c55\u5f00 `#pragma unroll`<\/p>\n
\u5faa\u73af\u5c55\u5f00\u51cf\u5c11\u5faa\u73af\u8ba1\u6570\u5668\u5224\u65ad\u3001\u8df3\u8f6c\u6307\u4ee4，\u540c\u65f6\u7ed9\u7f16\u8bd1\u5668\u66f4\u591a\u8c03\u5ea6\u7a7a\u95f4\u3002<\/p>\n
\/\/ \u672a\u5c55\u5f00
\nfor (int i = 0; i < 8; i++) {
\nsum += in[i];
\n}<\/p>\n
\/\/ \u5b8c\u5168\u5c55\u5f00，\u7f16\u8bd1\u671f\u5e38\u91cf\u5faa\u73af\u6b21\u6570
\n#pragma unroll
\nfor (int i = 0; i < 8; i++) {
\nsum += in[i];
\n}<\/p>\n
– `#pragma unroll N`：\u6307\u5b9a\u5c55\u5f00N\u6b21；
\n– \u5faa\u73af\u8fb9\u754c\u4e3a\u8fd0\u884c\u671f\u53d8\u91cf，\u65e0\u6cd5\u5b8c\u5168\u5c55\u5f00\u3002<\/p>\n
### 4.2 \u4f7f\u7528\u591a\u4e2a\u7d2f\u52a0\u5668（\u91cd\u8981）<\/p>\n
\u5355\u7d2f\u52a0\u5668\u4f1a\u5f62\u6210\u4e00\u6761\u5f88\u957f\u7684\u6570\u636e\u4f9d\u8d56\u94fe；\u4f7f\u7528\u591a\u7d2f\u52a0\u5668\u628a\u4e00\u6761\u957f\u94fe\u62c6\u6210\u591a\u6761\u77ed\u94fe，\u6781\u5927\u6539\u5584 ILP\u3002<\/p>\n
\/\/ \u274c \u5355\u7d2f\u52a0\u5668，\u957f\u4f9d\u8d56\u94fe
\nfloat sum = 0.0f;
\nfor (int i = 0; i < N; i++) {
\nsum += in[i];
\n}<\/p>\n
\/\/ \u2705 4\u4e2a\u7d2f\u52a0\u5668，\u62c6\u5206\u62104\u6761\u77ed\u4f9d\u8d56\u94fe
\nfloat sum0 = 0.0f, sum1 = 0.0f, sum2 = 0.0f, sum3 = 0.0f;
\nfor (int i = 0; i < N; i += 4) {
\nsum0 += in[i];
\nsum1 += in[i+1];
\nsum2 += in[i+2];
\nsum3 += in[i+3];
\n}
\nfloat sum = (sum0 + sum1) + (sum2 + sum3);<\/p>\n
>
\n> \u4ee3\u4ef7：\u6d88\u8017\u66f4\u591a\u5bc4\u5b58\u5668；\u9700\u8981\u6743\u8861\u5bc4\u5b58\u5668\u538b\u529b\u548cILP\u6536\u76ca\u3002<\/p>\n
### 4.3 \u6307\u4ee4\u91cd\u6392<\/p>\n
\u7f16\u8bd1\u5668\u9ed8\u8ba4\u4f1a\u91cd\u6392；\u5fc5\u8981\u65f6\u624b\u52a8\u8c03\u6574\u4ee3\u7801\u987a\u5e8f：<\/p>\n
– \u5c06**\u4e92\u76f8\u72ec\u7acb**\u7684\u6307\u4ee4\u653e\u9760\u8fd1；
\n– \u5c06\u6709\u6570\u636e\u4f9d\u8d56\u7684\u6307\u4ee4\u4e92\u76f8\u9694\u5f00，\u62c9\u5f00\u8ddd\u79bb\u3002<\/p>\n
### 4.4 \u51cf\u5c11SFU\u7279\u6b8a\u51fd\u6570\u8c03\u7528<\/p>\n
`sinf`\u3001`cosf`\u3001`expf`\u3001`sqrtf`\u5360\u7528SFU\u5355\u5143，\u541e\u5410\u4f4e，\u5bb9\u6613\u89e6\u53d1`pipe_busy`\u505c\u6ede\u3002
\n\u4f18\u5148\u4f7f\u7528\u786c\u4ef6\u5feb\u901f\u8fd1\u4f3c\u7248\u672c：`__sinf`\u3001`__expf`\u3001`__fsqrt_rn`\u3002<\/p>\n
—<\/p>\n
## 5. \u4ee3\u7801\u6f14\u793a：\u5faa\u73af\u5c55\u5f00\u4e0e\u591a\u7d2f\u52a0\u5668\u6027\u80fd\u5bf9\u6bd4<\/p>\n
#include
\n#include <cuda_runtime.h><\/p>\n
#define CUDA_CHECK(call)
\ndo {
\ncudaError_t err = call;
\nif (err != cudaSuccess) {
\nfprintf(stderr, \u201cCUDA error at %s:%d: %s\\\\n\u201d, FILE, LINE, cudaGetErrorString(err));
\nexit(EXIT_FAILURE);
\n}
\n} while (0)<\/p>\n
\/\/ 1. \u5355\u7d2f\u52a0\u5668，\u65e0\u5c55\u5f00
\nglobal void reduceSingle(float *in, float *out, int N) {
\nint idx = blockIdx.x * blockDim.x + threadIdx.x;
\nfloat sum = 0.0f;
\nfor (int i = idx; i < N; i += blockDim.x * gridDim.x) {
\nsum += in[i];
\n}
\n\/\/ \u7b80\u5316，\u4e0d\u505a\u5b8c\u6574\u5757\u5185\u5f52\u7ea6
\nif (sum > 0) out[idx] = sum;
\n}<\/p>\n
\/\/ 2. \u56db\u4e2a\u7d2f\u52a0\u5668
\nglobal void reduceMultiUnroll(float *in, float *out, int N) {
\nint idx = blockIdx.x * blockDim.x + threadIdx.x;
\nint stride = blockDim.x * gridDim.x;
\nfloat sum0 = 0.0f, sum1 = 0.0f, sum2 = 0.0f, sum3 = 0.0f;<\/p>\n
int i = idx;
\nfor (; i < N – 3; i += stride * 4) {
\n sum0 += in[i];
\n sum1 += in[i + stride];
\n sum2 += in[i + 2 * stride];
\n sum3 += in[i + 3 * stride];
\n}
\n\/\/ \u5904\u7406\u5269\u4f59\u5143\u7d20
\nfor (; i < N; i += stride) {
\n sum0 += in[i];
\n}
\nfloat sum = sum0 + sum1 + sum2 + sum3;
\nif (sum > 0) out[idx] = sum;<\/p>\n
}<\/p>\n
int main() {
\nconst int N = 1 << 24; \/\/ 16M \u5143\u7d20
\nsize_t bytes = N * sizeof(float);
\nfloat *d_in, *d_out;
\nCUDA_CHECK(cudaMalloc(&d_in, bytes));
\nCUDA_CHECK(cudaMalloc(&d_out, N * sizeof(float)));<\/p>\n
\/\/ \u4e3b\u673a\u521d\u59cb\u5316\u7701\u7565<\/p>\n
int blockSize = 256;
\nint gridSize = 256;<\/p>\n
cudaEvent_t start, end;
\nCUDA_CHECK(cudaEventCreate(&start));
\nCUDA_CHECK(cudaEventCreate(&end));
\nfloat ms;<\/p>\n
CUDA_CHECK(cudaEventRecord(start));
\nreduceSingle<<<gridSize, blockSize>>>(d_in, d_out, N);
\nCUDA_CHECK(cudaEventRecord(end));
\nCUDA_CHECK(cudaEventSynchronize(end));
\nCUDA_CHECK(cudaEventElapsedTime(&ms, start, end));
\nprintf("Single accumulator: %f ms\\\\n", ms);<\/p>\n
CUDA_CHECK(cudaEventRecord(start));
\nreduceMultiUnroll<<<gridSize, blockSize>>>(d_in, d_out, N);
\nCUDA_CHECK(cudaEventRecord(end));
\nCUDA_CHECK(cudaEventSynchronize(end));
\nCUDA_CHECK(cudaEventElapsedTime(&ms, start, end));
\nprintf("Multi accumulator unroll: %f ms\\\\n", ms);<\/p>\n
CUDA_CHECK(cudaFree(d_in));
\nCUDA_CHECK(cudaFree(d_out));
\nreturn 0;<\/p>\n
}<\/p>\n
>
\n> \u9884\u671f：\u591a\u7d2f\u52a0\u5668\u7248\u672c\u6027\u80fd\u901a\u5e38\u63d0\u5347 **2~3\u500d**；\u6253\u788e\u957f\u4f9d\u8d56\u94fe，\u63d0\u5347ILP\u3002<\/p>\n
\u7f16\u8bd1：<\/p>\n
nvcc -arch=sm_80 ilp_demo.cu -o ilp_demo
\n.\/ilp_demo<\/p>\n
—<\/p>\n
## 6. \u4f7f\u7528 Nsight Compute \u5206\u6790 Warp \u505c\u6ede<\/p>\n
### 6.1 \u5173\u952emetrics\u6307\u6807<\/p>\n
\u6838\u5fc3\u6307\u6807\u524d\u7f00：`smsp__average_warps_issue_stalled_*_per_issue_active.ratio`<\/p>\n
\u793a\u4f8b\u547d\u4ee4\u884c\u8c03\u7528：<\/p>\n
ncu –metrics
\nsmsp__average_warps_issue_stalled_execution_dependency_per_issue_active.ratio,
\nsmsp__average_warps_issue_stalled_memory_throttle_per_issue_active.ratio,
\nsmsp__average_warps_issue_stalled_synchronization_per_issue_active.ratio
\n.\/ilp_demo<\/p>\n
\u8f93\u51fa\u6570\u503c\u8303\u56f4 `0~1`，\u4ee3\u8868\u6d3b\u8dc3Warp\u4e2d\u8be5\u539f\u56e0\u505c\u6ede\u7684\u5360\u6bd4\u3002<\/p>\n
### 6.2 \u6807\u51c6\u5206\u6790\u6d41\u7a0b<\/p>\n
1. `ncu –set full .\/binary` \u83b7\u53d6\u5b8c\u6574profiling\u62a5\u544a
\n2. \u627e\u5230\u9762\u677f：`Warp State Statistics`
\n3. \u5bf9\u6bd4\u5404\u9879\u505c\u6ede\u5360\u6bd4，\u5b9a\u4f4d\u6700\u9ad8\u5360\u6bd4\u9879
\n4. \u6839\u636e\u505c\u6ede\u7c7b\u578b\u9488\u5bf9\u6027\u4f18\u5316
\n5. \u91cd\u8dd1ncu\u9a8c\u8bc1\u4f18\u5316\u6548\u679c<\/p>\n
—<\/p>\n
## 7. \u8bfe\u540e\u7ec3\u4e60<\/p>\n
**\u7ec3\u4e601：\u5faa\u73af\u5c55\u5f00\u5b9e\u9a8c**
\n\u7f16\u5199\u5411\u91cf\u6c42\u548cKernel，\u5206\u522b：\u4e0d\u5c55\u5f00\u3001`#pragma unroll 4`\u3001\u5b8c\u5168\u5c55\u5f00\u3002\u5bf9\u6bd4\u6027\u80fd，\u4f7f\u7528`–ptxas-options=-v`\u89c2\u5bdf\u5bc4\u5b58\u5668\u6d88\u8017\u3002<\/p>\n
**\u7ec3\u4e602：\u591a\u7d2f\u52a0\u5668\u4f18\u5316**
\n\u5c06\u793a\u4f8b\u4ee3\u7801\u4fee\u6539\u4e3a2\u30014\u30018\u4e2a\u7d2f\u52a0\u5668，\u6d4b\u8bd5\u6027\u80fd，\u5bfb\u627e\u6700\u4f18\u6570\u76ee；\u4f7f\u7528ncu\u89c2\u5bdf`execution_dependency`\u6307\u6807\u53d8\u5316\u3002<\/p>\n
**\u7ec3\u4e603：\u6307\u4ee4\u91cd\u6392\u7ec3\u4e60**
\n\u7f16\u5199\u5b58\u5728\u8fde\u7eedRAW\u4f9d\u8d56\u7684\u8ba1\u7b97\u7247\u6bb5，\u624b\u52a8\u91cd\u6392\u6307\u4ee4，\u5bf9\u6bd4\u6027\u80fd\u3002<\/p>\n
**\u7ec3\u4e604：\u5206\u6790\u4f60\u81ea\u5df1\u7684Kernel**
\n\u6311\u9009\u4e00\u4efd\u4e4b\u524d\u5199\u8fc7\u7684CUDA Kernel，\u7528ncu\u5206\u6790Warp\u505c\u6ede\u4e3b\u8981\u6765\u6e90，\u505a\u81f3\u5c11\u4e00\u9879\u9488\u5bf9\u6027\u4f18\u5316\u3002<\/p>\n
**\u7ec3\u4e605：SFU\u74f6\u9888\u786e\u8ba4**
\n\u7f16\u5199Kernel\u5927\u91cf\u8c03\u7528`sinf()`\/`cosf()`，ncu\u89c2\u5bdf`pipe_busy`；\u66ff\u6362\u6210`__sinf`\/`__cosf`\u518d\u6b21\u5bf9\u6bd4\u6307\u6807\u4e0e\u8017\u65f6\u3002<\/p>\n
—<\/p>\n
## 8. \u4e0b\u4e00\u6b65<\/p>\n
\u4e0b\u4e00\u8282\u5c06\u6df1\u5165 **Tensor Core \u786c\u4ef6\u539f\u7406\u4e0e\u7f16\u7a0b\u6a21\u578b**，\u5b66\u4e60：<\/p>\n
– Tensor Core \u7684\u77e9\u9635\u4e58\u52a0\u80fd\u529b\u4e0e\u6570\u636e\u683c\u5f0f
\n– \u4f7f\u7528 CUDA WMMA API \u8c03\u7528 Tensor Core
\n– Tensor Core \u5728\u6df7\u5408\u7cbe\u5ea6\u8ba1\u7b97\u4e2d\u7684\u5e94\u7528
\n– \u5982\u4f55\u5229\u7528 Tensor Core \u52a0\u901f GEMM\u3001\u5377\u79ef\u7b49\u7b97\u5b50<\/p>\n","protected":false},"excerpt":{"rendered":"
\u5b66\u4e60\u76ee\u6807
\n\u5b66\u5b8c\u672c\u8282\u4f60\u5c06\u80fd\u591f：
\n\u7406\u89e3 Warp \u8c03\u5ea6\u5668\u5728 SM \u4e2d\u7684\u89d2\u8272\u4e0e\u5de5\u4f5c\u65b9\u5f0f\u8bc6\u522b\u5e38\u89c1\u7684 Warp \u505c\u6ede\u539f\u56e0（\u5185\u5b58\u7b49\u5f85\u3001\u6307\u4ee4\u4f9d\u8d56\u3001\u6267\u884c\u5355\u5143\u5fd9\u7b49）\u638c\u63e1\u901a\u8fc7\u5faa\u73af\u5c55\u5f00\u3001\u591a\u7d2f\u52a0\u5668\u3001\u6307\u4ee4\u91cd\u6392\u63d0\u9ad8\u6307\u4ee4\u7ea7\u5e76\u884c\u5ea6（ILP）\u7684\u65b9\u6cd5\u4f7f\u7528 Nsight Compute \u5206\u6790 Warp \u505c\u6ede\u6307\u6807，\u5b9a\u4f4d\u8c03\u5ea6\u74f6\u98881. Warp \u8c03\u5ea6\u5668\u7684\u5de5\u4f5c\u673a\u5236
\n1.1 \u8c03\u5ea6\u5668\u6570\u91cf\u4e0e\u5206\u5de5
\n\u73b0\u4ee3 GPU \u6bcf\u4e2a SM \u5185\u6709\u591a\u4e2a Warp \u8c03<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[55,208,50],"topic":[],"class_list":["post-104654","post","type-post","status-publish","format-standard","hentry","category-server","tag-c","tag-gpu","tag-50"],"yoast_head":"\n
\u7b2c4\u677f\u5757\u00b7\u7b2c2\u8282\uff1aWarp \u8c03\u5ea6\u5668\u4e0e\u6307\u4ee4\u7ea7\u5e76\u884c - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.wsisp.com\/helps\/104654.html\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u7b2c4\u677f\u5757\u00b7\u7b2c2\u8282\uff1aWarp \u8c03\u5ea6\u5668\u4e0e\u6307\u4ee4\u7ea7\u5e76\u884c - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\" \/>\n<meta property=\"og:description\" content=\"\u5b66\u4e60\u76ee\u6807 \u5b66\u5b8c\u672c\u8282\u4f60\u5c06\u80fd\u591f： \u7406\u89e3 Warp \u8c03\u5ea6\u5668\u5728 SM \u4e2d\u7684\u89d2\u8272\u4e0e\u5de5\u4f5c\u65b9\u5f0f\u8bc6\u522b\u5e38\u89c1\u7684 Warp \u505c\u6ede\u539f\u56e0（\u5185\u5b58\u7b49\u5f85\u3001\u6307\u4ee4\u4f9d\u8d56\u3001\u6267\u884c\u5355\u5143\u5fd9\u7b49）\u638c\u63e1\u901a\u8fc7\u5faa\u73af\u5c55\u5f00\u3001\u591a\u7d2f\u52a0\u5668\u3001\u6307\u4ee4\u91cd\u6392\u63d0\u9ad8\u6307\u4ee4\u7ea7\u5e76\u884c\u5ea6（ILP）\u7684\u65b9\u6cd5\u4f7f\u7528 Nsight Compute \u5206\u6790 Warp \u505c\u6ede\u6307\u6807，\u5b9a\u4f4d\u8c03\u5ea6\u74f6\u98881. Warp \u8c03\u5ea6\u5668\u7684\u5de5\u4f5c\u673a\u5236 1.1 \u8c03\u5ea6\u5668\u6570\u91cf\u4e0e\u5206\u5de5 \u73b0\u4ee3 GPU \u6bcf\u4e2a SM \u5185\u6709\u591a\u4e2a Warp \u8c03\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.wsisp.com\/helps\/104654.html\" \/>\n<meta property=\"og:site_name\" content=\"\u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\" \/>\n<meta property=\"article:published_time\" content=\"2026-09-12T14:25:11+00:00\" \/>\n<meta name=\"author\" content=\"admin\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u4f5c\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"admin\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u9884\u8ba1\u9605\u8bfb\u65f6\u95f4\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 \u5206\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.wsisp.com\/helps\/104654.html\",\"url\":\"https:\/\/www.wsisp.com\/helps\/104654.html\",\"name\":\"\u7b2c4\u677f\u5757\u00b7\u7b2c2\u8282\uff1aWarp \u8c03\u5ea6\u5668\u4e0e\u6307\u4ee4\u7ea7\u5e76\u884c - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\",\"isPartOf\":{\"@id\":\"https:\/\/www.wsisp.com\/helps\/#website\"},\"datePublished\":\"2026-09-12T14:25:11+00:00\",\"dateModified\":\"2026-09-12T14:25:11+00:00\",\"author\":{\"@id\":\"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/358e386c577a3ab51c4493330a20ad41\"},\"breadcrumb\":{\"@id\":\"https:\/\/www.wsisp.com\/helps\/104654.html#breadcrumb\"},\"inLanguage\":\"zh-Hans\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.wsisp.com\/helps\/104654.html\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.wsisp.com\/helps\/104654.html#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\u9996\u9875\",\"item\":\"https:\/\/www.wsisp.com\/helps\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"\u7b2c4\u677f\u5757\u00b7\u7b2c2\u8282\uff1aWarp \u8c03\u5ea6\u5668\u4e0e\u6307\u4ee4\u7ea7\u5e76\u884c\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.wsisp.com\/helps\/#website\",\"url\":\"https:\/\/www.wsisp.com\/helps\/\",\"name\":\"\u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\",\"description\":\"\u9999\u6e2f\u670d\u52a1\u5668_\u9999\u6e2f\u4e91\u670d\u52a1\u5668\u8d44\u8baf_\u670d\u52a1\u5668\u5e2e\u52a9\u6587\u6863_\u670d\u52a1\u5668\u6559\u7a0b\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.wsisp.com\/helps\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"zh-Hans\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/358e386c577a3ab51c4493330a20ad41\",\"name\":\"admin\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"zh-Hans\",\"@id\":\"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/gravatar.wp-china-yes.net\/avatar\/?s=96&d=mystery\",\"contentUrl\":\"https:\/\/gravatar.wp-china-yes.net\/avatar\/?s=96&d=mystery\",\"caption\":\"admin\"},\"sameAs\":[\"http:\/\/wp.wsisp.com\"],\"url\":\"https:\/\/www.wsisp.com\/helps\/author\/admin\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"\u7b2c4\u677f\u5757\u00b7\u7b2c2\u8282\uff1aWarp \u8c03\u5ea6\u5668\u4e0e\u6307\u4ee4\u7ea7\u5e76\u884c - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.wsisp.com\/helps\/104654.html","og_locale":"zh_CN","og_type":"article","og_title":"\u7b2c4\u677f\u5757\u00b7\u7b2c2\u8282\uff1aWarp \u8c03\u5ea6\u5668\u4e0e\u6307\u4ee4\u7ea7\u5e76\u884c - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3","og_description":"\u5b66\u4e60\u76ee\u6807 \u5b66\u5b8c\u672c\u8282\u4f60\u5c06\u80fd\u591f： \u7406\u89e3 Warp \u8c03\u5ea6\u5668\u5728 SM \u4e2d\u7684\u89d2\u8272\u4e0e\u5de5\u4f5c\u65b9\u5f0f\u8bc6\u522b\u5e38\u89c1\u7684 Warp \u505c\u6ede\u539f\u56e0（\u5185\u5b58\u7b49\u5f85\u3001\u6307\u4ee4\u4f9d\u8d56\u3001\u6267\u884c\u5355\u5143\u5fd9\u7b49）\u638c\u63e1\u901a\u8fc7\u5faa\u73af\u5c55\u5f00\u3001\u591a\u7d2f\u52a0\u5668\u3001\u6307\u4ee4\u91cd\u6392\u63d0\u9ad8\u6307\u4ee4\u7ea7\u5e76\u884c\u5ea6（ILP）\u7684\u65b9\u6cd5\u4f7f\u7528 Nsight Compute \u5206\u6790 Warp \u505c\u6ede\u6307\u6807，\u5b9a\u4f4d\u8c03\u5ea6\u74f6\u98881. Warp \u8c03\u5ea6\u5668\u7684\u5de5\u4f5c\u673a\u5236 1.1 \u8c03\u5ea6\u5668\u6570\u91cf\u4e0e\u5206\u5de5 \u73b0\u4ee3 GPU \u6bcf\u4e2a SM \u5185\u6709\u591a\u4e2a Warp \u8c03","og_url":"https:\/\/www.wsisp.com\/helps\/104654.html","og_site_name":"\u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3","article_published_time":"2026-09-12T14:25:11+00:00","author":"admin","twitter_card":"summary_large_image","twitter_misc":{"\u4f5c\u8005":"admin","\u9884\u8ba1\u9605\u8bfb\u65f6\u95f4":"4 \u5206"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.wsisp.com\/helps\/104654.html","url":"https:\/\/www.wsisp.com\/helps\/104654.html","name":"\u7b2c4\u677f\u5757\u00b7\u7b2c2\u8282\uff1aWarp \u8c03\u5ea6\u5668\u4e0e\u6307\u4ee4\u7ea7\u5e76\u884c - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3","isPartOf":{"@id":"https:\/\/www.wsisp.com\/helps\/#website"},"datePublished":"2026-09-12T14:25:11+00:00","dateModified":"2026-09-12T14:25:11+00:00","author":{"@id":"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/358e386c577a3ab51c4493330a20ad41"},"breadcrumb":{"@id":"https:\/\/www.wsisp.com\/helps\/104654.html#breadcrumb"},"inLanguage":"zh-Hans","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.wsisp.com\/helps\/104654.html"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/www.wsisp.com\/helps\/104654.html#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"\u9996\u9875","item":"https:\/\/www.wsisp.com\/helps"},{"@type":"ListItem","position":2,"name":"\u7b2c4\u677f\u5757\u00b7\u7b2c2\u8282\uff1aWarp \u8c03\u5ea6\u5668\u4e0e\u6307\u4ee4\u7ea7\u5e76\u884c"}]},{"@type":"WebSite","@id":"https:\/\/www.wsisp.com\/helps\/#website","url":"https:\/\/www.wsisp.com\/helps\/","name":"\u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3","description":"\u9999\u6e2f\u670d\u52a1\u5668_\u9999\u6e2f\u4e91\u670d\u52a1\u5668\u8d44\u8baf_\u670d\u52a1\u5668\u5e2e\u52a9\u6587\u6863_\u670d\u52a1\u5668\u6559\u7a0b","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.wsisp.com\/helps\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"zh-Hans"},{"@type":"Person","@id":"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/358e386c577a3ab51c4493330a20ad41","name":"admin","image":{"@type":"ImageObject","inLanguage":"zh-Hans","@id":"https:\/\/www.wsisp.com\/helps\/#\/schema\/person\/image\/","url":"https:\/\/gravatar.wp-china-yes.net\/avatar\/?s=96&d=mystery","contentUrl":"https:\/\/gravatar.wp-china-yes.net\/avatar\/?s=96&d=mystery","caption":"admin"},"sameAs":["http:\/\/wp.wsisp.com"],"url":"https:\/\/www.wsisp.com\/helps\/author\/admin"}]}},"_links":{"self":[{"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/posts\/104654","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/comments?post=104654"}],"version-history":[{"count":0,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/posts\/104654\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/media?parent=104654"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/categories?post=104654"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/tags?post=104654"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/www.wsisp.com\/helps\/wp-json\/wp\/v2\/topic?post=104654"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}