Open AccessUsing the Global Arrays Toolkit to Reimplement NumPy for Distributed Computation
Author(s) -
Jeff Daily,
Robert R. Lewis
Publication year - 2011
Publication title -
proceedings of the python in science conferences
Language(s) - English
Resource type - Conference proceedings
ISSN - 2575-9752
DOI - 10.25080/majora-ebaa42b7-004
Subject(s) - scalability , computer science , parallel computing , computation , distributed memory , computational science , software , distributed computing , operating system , shared memory , programming language
Global Arrays (GA) is a software system from Pacific Northwest National Laboratory that enables an efficient, portable, and parallel shared memory programming interface to manipulate distributed defense arrays. Using a combination of GA and NumPy, we have reimplemented NumPy as a distributed drop-in replacement called Global Arrays in NumPy (GAiN). Scalability studies will be presented showing the utility of developing serial NumPy codes which can later run on more capable clusters or supercomputers.
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