With the advent of GPGPU, many applications are being accelerated by using CUDA programing paradigm. We are able to achieve around 10x -100x speedups by simply porting the application on to the GPU and running the parallel chunk of code on its multi cored SIMT (Single instruction multiple thread) architecture. But for optimal performance it is necessary to make sure that all the GPU resources are efficiently used, and the latencies in the application are minimized.
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- Partial requirement for: M.S., Arizona State University, 2017Note typethesis
- Includes bibliographical references (pages 91-96)Note typebibliography
- Field of study: Engineering