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Insulating the scientific programmer from perilous parallel architecture

Published: 17 October 2010 Publication History

Abstract

The resource requirements of modern-day scientific applications is making hardware acceleration a requisite design consideration. But typically these applications are created and implemented by scientists trained in other fields, not the intricacies of parallel processing. Consequently, there is a definite need for abstractions.
In this paper, we discuss why the typically object-oriented abstractions that are commonly made available in such settings introduce accidental sequentiality and render the hardware acceleration ineffective. We hence propose a few research directions that we intend to pursue in order to generate new abstractions that better insulate the programmer from implementation details that do not relate to application logic.

References

[1]
Catanzaro, B., Fox, A., Keutzer, K., Patterson, D., Su, B.-Y., Snir, M., Olukotun, K., Hanrahan, P., and Chafi, H. Ubiquitous parallel computing from berkeley, illinois, and stanford. IEEE Micro 30 (2010), 41--55.
[2]
Gardner, H. Design patterns in scientific software. In Computational Science and Its Applications (ICCSA) (2004), Springer/Verlag, pp. 776--785.
[3]
Mattson, T. G., Sanders, B. A., and Massingill, B. L. Patterns for Parallel Programming. Addison-Wesley, 2005.
[4]
Rossi, F. Graphics hardware accelerated transmission line matrix procedures. Master's thesis, University of Victoria, 2010.

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    cover image ACM Conferences
    POOSC '10: Proceedings of the 9th Workshop on Parallel/High-Performance Object-Oriented Scientific Computing
    October 2010
    43 pages
    ISBN:9781450305464
    DOI:10.1145/2039312
    • Conference Chair:
    • Kei Davis
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 17 October 2010

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    Author Tags

    1. abstraction
    2. parallelization
    3. scientific computing

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