Description
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.
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Contributors
- Wadekar, Ameya (Author)
- Sohoni, Sohum (Thesis advisor)
- Aukes, Daniel (Committee member)
- Redkar, Sangram (Committee member)
- Arizona State University (Publisher)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2017
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Resource Type
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Note
- Partial requirement for: M.S., Arizona State University, 2017Note typethesis
- Includes bibliographical references (pages 91-96)Note typebibliography
- Field of study: Engineering
Citation and reuse
Statement of Responsibility
by Ameya Wadekar