SCHEDULE: NOV 12-18, 2011

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Automatic Parallelization of Numerical Python Applications using the Global Arrays Toolkit

SESSION: Research Poster Reception

EVENT TYPE: ACM Student Research Competition Poster, Poster, Electronic Poster

TIME: 5:15PM - 7:00PM

SESSION CHAIR: Bernd Mohr

AUTHOR(S):Jeff A. Daily, Robert R. Lewis

ROOM:WSCC North Galleria 2nd/3rd Floors

ABSTRACT:
Global Arrays is a software system from Pacific Northwest National Laboratory that enables an efficient, portable, and parallel shared-memory programming interface to manipulate distributed dense arrays. The NumPy module is the de facto standard for numerical calculation in the Python programming language, a language whose use is growing rapidly in the scientific and engineering communities. NumPy provides a powerful N-dimensional array class as well as other scientific computing capabilities. However, like the majority of the core Python modules, NumPy is inherently serial. Using a combination of Global Arrays and NumPy, we have reimplemented NumPy as a distributed drop-in replacement called Global Arrays in NumPy (GAiN). Serial NumPy applications can become parallel, scalable GAiN applications with only minor source code changes. Scalability studies of several different GAiN applications will be presented showing the utility of developing serial NumPy codes which can later run on more capable clusters or supercomputers.

Chair/Author Details:

Bernd Mohr (Chair) - Juelich Supercomputing Centre

Jeff A. Daily - Pacific Northwest National Laboratory

Robert R. Lewis - Washington State University Tricities

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