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Simple CUDA code by Oaklab

Posted by | December 5, 2012 | Newest Projects

This project should be very easy to a any CUDA developer, it’s purpose is to demonstrate the a difference in run time of a simple matrix multiplication program when it’s written once without shared memory and another time with shared memory… (Budget: $30-$250 USD, Jobs: C Programming, CUDA, GPGPU)

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