How can I launch multiple kernels in parallel using cuda?

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Kamran Karimi

Newer CUDA GPUs have better support for concurrent kernel execution. Running each kernel in a separate stream is an indication that they can run in parallel. You can specify the stream as the last argument when launching a kernel. For more details see http://on-demand.gputechconf.com/gtc-express/2011/presentations/StreamsAndConcurrencyWebinar.pdf

Sunando Sengupta

thanks. I have got it working. now I have another problem. I use atomicadd() functions. I am seeing that they are not thread safe for concurrent streams. is there any other way to perform atomic operation on a global memory location across streams

Lauro Cássio Martins de Paula

Hello, Sunando! Kamran is right. Newer CUDA GPUs have better support. However, if you have an older GPU, the only way is lauching a kernel soon after another without using the cudaKernelSynchronize() function. Using this function, you force your code to wait the last kernel finish its execution before lauching the next.