Thesis
GpuPy: efficiently using a GPU with Python
Washington State University
Master of Science (MS), Washington State University
2007
Handle:
https://hdl.handle.net/2376/102730
Abstract
Originally intended for graphics, a Graphics Processing Unit (GPU) is a powerful parallel processor capable of performing more floating point calculations per second than a traditional CPU. However, the key drawback against the widespread adoption of GPUs for general purpose computing is the difficulty of programming them. Programming a GPU requires non-traditional programming techniques, new languages, and knowledge of graphics APIs. GpuPy attempts to eliminate these drawbacks while still taking full advantage of a GPU. It does this by providing an implementation of an existing numerical API for the Python programming language using a GPU.
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Details
- Title
- GpuPy
- Creators
- Benjamin Eitzen
- Contributors
- Robert R. Lewis (Degree Supervisor)
- Awarding Institution
- Washington State University
- Academic Unit
- Electrical Engineering and Computer Science, School of
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University; [Pullman, Washington] :
- Identifiers
- 99900525185901842
- Language
- English
- Resource Type
- Thesis