CUDA Pro Tip: Always Set the Current Device to Avoid Multithreading Bugs – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-24T17:31:04Z http://www.open-lab.net/blog/feed/ Justin Luitjens <![CDATA[CUDA Pro Tip: Always Set the Current Device to Avoid Multithreading Bugs]]> http://www.open-lab.net/blog/parallelforall/?p=3619 2022-08-21T23:37:08Z 2014-09-05T00:07:17Z We often say that to reach?high performance on GPUs you should expose as much parallelism in your code as possible, and we don't mean just parallelism...]]> We often say that to reach?high performance on GPUs you should expose as much parallelism in your code as possible, and we don't mean just parallelism...GPU Pro Tip

We often say that to reach high performance on GPUs you should expose as much parallelism in your code as possible, and we don��t mean just parallelism within one GPU, but also across multiple GPUs and CPUs. It��s common for high-performance software to parallelize across multiple GPUs by assigning one or more CPU threads to each GPU. In this post I��ll cover a common but subtle bug and a simple rule��

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