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update bpftime

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officeyutong
2025-05-28 16:11:57 +08:00
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src/47-cuda-events/README.md
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@@ -469,7 +469,7 @@ cudaMemcpyD2H: 383.66 µs
cudaFree: 0.00 µs
```
The tracer adds about 2us overhead to each CUDA API call, which is negligible for most cases.
The tracer adds about 2us overhead to each CUDA API call, which is negligible for most cases. To further reduce the overhead, you can try using the [bpftime](https://github.com/eunomia-bpf/bpftime) userspace runtime to optimize the eBPF program.
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src/47-cuda-events/README.zh.md
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@@ -469,7 +469,7 @@ cudaMemcpyD2H: 383.66 µs
cudaFree: 0.00 µs
```
追踪器为每个CUDA API调用增加了约2微秒的开销，这对大多数情况来说是可以忽略不计的。
追踪器为每个CUDA API调用增加了约2微秒的开销，这对大多数情况来说是可以忽略不计的。为了进一步减少开销，你可以尝试使用[bpftime](https://github.com/eunomia-bpf/bpftime)用户空间运行时来优化eBPF程序。
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