concurrency - CUDA: Concurrent, Unique Kernels on the Same Multiprocessor? -

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is possible, using streams, have multiple unique kernels on same streaming multiprocessor in kepler 3.5 gpus? i.e run 30 kernels of size <<<1,1024>>> @ same time on kepler gpu 15 sms?

on compute capability 3.5 device, might possible.

those devices support 32 concurrent kernels per gpu , 2048 threads peer multi-processor. 64k registers per multi-processor, 2 blocks of 1024 threads run concurrently if register footprint less 16 per thread, , less 24kb shared memory per block.

you can find of hardware description found in appendices of cuda programming guide.


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