cudaStreamSynchronize vs CudaDeviceSynchronize vs cudaThreadSynchronize CUDA中的屏障同步

本文详细解释了CUDA中的三种同步机制:cudaDeviceSynchronize、cudaStreamSynchronize和cudaThreadSynchronize的功能及使用区别。cudaDeviceSynchronize使主机线程暂停直至GPU完成所有先前请求的任务;cudaStreamSynchronize同样等待GPU完成指定流中的任务,但不影响其他流;cudaThreadSynchronize为已弃用的cudaDeviceSynchronize。

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These are all barriers. Barriers prevent code execution beyond the barrier until some condition is met.

  1. cudaDeviceSynchronize() halts execution in the CPU/host thread (that the cudaDeviceSynchronize was issued in) until the GPU has finished processing all previously requested cuda tasks (kernels, data copies, etc.)
  2. cudaThreadSynchronize() as you've discovered, is just a deprecated version of cudaDeviceSynchronize. Deprecated just means that it still works for now, but it's recommended not to use it (use cudaDeviceSynchronize instead) and in the future, it may become unsupported. But cudaThreadSynchronize() and cudaDeviceSynchronize() are basically identical.
  3. cudaStreamSynchronize() is similar to the above two functions, but it prevents further execution in the CPU host thread until the GPU has finished processing all previously requested cuda tasks that were issued in the referenced stream. So cudaStreamSynchronize() takes a stream id as it's only parameter. cuda tasks issued in other streams may or may not be complete when CPU code execution continues beyond this barrier.
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