OPTIMIZING SKELETAL STREAM PROCESSING FOR DIVIDE AND CONQUER

Michael Poldner; Herbert Kuchen

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Paper

OPTIMIZING SKELETAL STREAM PROCESSING FOR DIVIDE AND CONQUER

Topics: High Performance Computing; Load Balancing

In Proceedings of the Third International Conference on Software and Data Technologies - Volume 1: ICSOFT, 181-189, 2008 , Porto, Portugal

Authors: Michael Poldner and Herbert Kuchen

Affiliation: University of Münster, Germany

Keyword(s): Parallel Computing, Algorithmic Skeletons, Divide & Conquer.

Related Ontology Subjects/Areas/Topics: Distributed and Mobile Software Systems ; Energy and Economy ; Load Balancing in Smart Grids ; Parallel and High Performance Computing ; Smart Grids ; Software Engineering

Abstract: Algorithmic skeletons intend to simplify parallel programming by providing recurring forms of program structure as predefined components. We present a new distributed task parallel skeleton for a very general class of divide and conquer algorithms for MIMD machines with distributed memory. Our approach combines skeletal internal task parallelism with stream parallelism. This approach is compared to alternative topologies for a task parallel divide and conquer skeleton with respect to their aptitude of solving streams of divide and conquer problems. Based on experimental results for matrix chain multiplication problems, we show that our new approach enables a better processor load and memory utilization of the engaged solvers, and reduces communication costs.

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Paper citation in several formats:

Poldner, M. and Kuchen, H. (2008). OPTIMIZING SKELETAL STREAM PROCESSING FOR DIVIDE AND CONQUER. In Proceedings of the Third International Conference on Software and Data Technologies - Volume 1: ICSOFT; ISBN 978-989-8111-51-7; ISSN 2184-2833, SciTePress, pages 181-189. DOI: 10.5220/0001889301810189

@conference{icsoft08,
author={Michael Poldner. and Herbert Kuchen.},
title={OPTIMIZING SKELETAL STREAM PROCESSING FOR DIVIDE AND CONQUER},
booktitle={Proceedings of the Third International Conference on Software and Data Technologies - Volume 1: ICSOFT},
year={2008},
pages={181-189},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001889301810189},
isbn={978-989-8111-51-7},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the Third International Conference on Software and Data Technologies - Volume 1: ICSOFT
TI - OPTIMIZING SKELETAL STREAM PROCESSING FOR DIVIDE AND CONQUER
SN - 978-989-8111-51-7
IS - 2184-2833
AU - Poldner, M.
AU - Kuchen, H.
PY - 2008
SP - 181
EP - 189
DO - 10.5220/0001889301810189
PB - SciTePress