PyCUDA and PyOpenCL: A scripting-based approach to GPU run-time code generation
Courant Institute of Mathematical Sciences · New York University · +6 more institutions
Indexed inarxivcrossref
Abstract
No abstract available for this paper.
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579
total citations
- FWCI
- 29.64
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- References
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Authors
6- AKAndreas KlöcknerCorresponding
Courant Institute of Mathematical Sciences, New York University
- NPNicolas Pinto
Massachusetts Institute of Technology, McGovern Institute for Brain Research, Harvard University
- YLYunsup Lee
University of California, Berkeley
- BCBryan Catanzaro
University of California, Berkeley
- PIPaul Ivanov
University of California, Berkeley, Center for Theoretical Biological Physics
Topics & keywords
Topics
Keywords
- Computer science
- Scripting language
- Graphics
- Code (set theory)
- General-purpose computing on graphics processing units
- Code generation
- Distributed computing
- Simple (philosophy)
UN Sustainable Development Goals
- Industry, innovation and infrastructure
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