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OREGAMI: Tools for mapping parallel computations to parallel architectures

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Abstract

The OREGAMI project involves the design, implementation, and testing of algorithms for mapping parallel computations to message-passing parallel architectures. OREGAMI addresses the mapping problem by exploiting regularity and by allowing the user to guide and evaluate mapping decisions made by OREGAMI's efficient combinatorial mapping algorithms. OREGAMI's approach to mapping is based on a new graph theoretic model of parallel computation called the Temporal Communication Graph. The OREGAMI software tools include three components: (1) LaRCS is a graph description language which allows the user to describe regularity in the communication topology as well as the temporal communication behavior (the pattern of message-passing over time). (2) MAPPER is our library of mapping algorithms which utilize information provided by LaRCS to perform contraction, embedding, and routing. (3) METRICS is an interactive graphics tool for display and analysis of mappings. This paper gives an overview of the OREGAMI project, the software tools, and OREGAMI's mapping algorithms.

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Authors and Affiliations

  1. Department of Computer and Information Science, University of Oregon, 97403-1202, Eugene, Oregon

    Virginia M. Lo

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  1. Virginia M. Lo
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  2. Sanjay Rajopadhye
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  3. Samik Gupta
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  4. David Keldsen
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  5. Moataz A. Mohamed
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  6. Bill Nitzberg
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  7. Jan Arne Telle
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  8. Xiaoxiong Zhong
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Additional information

This research is sponsored by NSF grant MIP91-08528 and the Oregon Advanced Computing Institute.

Partially supported by NSF Grant CCR-8808532.

Partially supported by NSF Grant MIP-8802454.

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Lo, V.M., Rajopadhye, S., Gupta, S. et al. OREGAMI: Tools for mapping parallel computations to parallel architectures. Int J Parallel Prog 20, 237–270 (1991). https://doi.org/10.1007/BF01379319

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  • DOI: https://doi.org/10.1007/BF01379319

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