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Abstractions and Middleware for Petascale Computing and Beyond

Abstractions and Middleware for Petascale Computing and Beyond

Ivo F. Sbalzarini
Copyright: © 2010 |Volume: 1 |Issue: 2 |Pages: 17
ISSN: 1947-3532|EISSN: 1947-3540|EISBN13: 9781609604349|DOI: 10.4018/jdst.2010040103
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MLA

Sbalzarini, Ivo F. "Abstractions and Middleware for Petascale Computing and Beyond." IJDST vol.1, no.2 2010: pp.40-56. http://doi.org/10.4018/jdst.2010040103

APA

Sbalzarini, I. F. (2010). Abstractions and Middleware for Petascale Computing and Beyond. International Journal of Distributed Systems and Technologies (IJDST), 1(2), 40-56. http://doi.org/10.4018/jdst.2010040103

Chicago

Sbalzarini, Ivo F. "Abstractions and Middleware for Petascale Computing and Beyond," International Journal of Distributed Systems and Technologies (IJDST) 1, no.2: 40-56. http://doi.org/10.4018/jdst.2010040103

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Abstract

As high-performance computing moves to the petascale and beyond, a number of algorithmic and software challenges need to be addressed. This paper reviews the main performance-limiting factors in today’s high-performance computing software and outlines a possible new programming paradigm to address them. The proposed paradigm is based on abstract parallel data structures and operations that encapsulate much of the complexity of an application, but still make communication overhead explicit. The authors argue that all numerical simulations can be formulated in terms of the presented abstractions, which thus define an abstract semantic specification language for parallel numerical simulations. Simulations defined in this language can automatically be translated to source code containing the appropriate calls to a middleware that implements the underlying abstractions. Finally, the structure and functionality of such a middleware are outlined while demonstrating its feasibility on the example of the parallel particle-mesh library (PPM).

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