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GTC ON-DEMAND

Tools & Libraries
Presentation
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Copperhead: Data-Parallel Python for the GPU
Speakers:
Bryan Catanzaro
- University of California, Berkeley
Abstract:
Learn how to write Python programs that execute highly efficiently on GPUs using Copperhead, a data-parallel Python runtime. Using standard Python constructs like map and reduce, we will see how to construct data-parallel computations and embed them in Python programs that interoperate with numerical and visualization libraries such as NumPy, SciPy and Matplotlib. We will examine how to express computations using Copperhead, explore the performance of Copperhead programs running on GPUs, and discuss Copperhead''s runtime model, which enables data-parallel execution from within Python.
 
Topics:
Tools & Libraries
Type:
Talk
Event:
GTC Silicon Valley
Year:
2010
Session ID:
2050
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