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ParalleX: A Study of A New Parallel Computation Model

Gao, Guang R. and Sterling, Thomas and Stevens, Rick and Hereld, Mark and Zhu, Weirong (2007) ParalleX: A Study of A New Parallel Computation Model. In: 2007 IEEE International Parallel and Distributed Processing Symposium. IEEE , Piscataway, NJ. ISBN 1-4244-0909-8. https://resolver.caltech.edu/CaltechAUTHORS:20170420-130147305

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Abstract

This paper proposes the study of a new computation model that attempts to address the underlying sources of performance degradation (e.g. latency, overhead, and starvation) and the difficulties of programmer productivity (e.g. explicit locality management and scheduling, performance tuning, fragmented memory, and synchronous global barriers) to dramatically enhance the broad effectiveness of parallel processing for high end computing. In this paper, we present the progress of our research on a parallel programming and execution model - mainly, ParalleX. We describe the functional elements of ParalleX, one such model being explored as part of this project. We also report our progress on the development and study of a subset of ParalleX $the LITL-X at University of Delaware. We then present a novel architecture model - Gilgamesh II - as a ParalleX processing architecture. A design point study of Gilgamesh II and the architecture concept strategy are presented.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1109/IPDPS.2007.370484DOIArticle
http://ieeexplore.ieee.org/document/4228212/PublisherArticle
Additional Information:© 2007 IEEE. We acknowledge the support from the National Science Foundation (CNS-0509332) and the U.S. Dept. of Energy under Contract DE-AC02-06CH11357, IBM, ETI, and other government sponsors. We would also like to acknowledge other members at the CAPSL group, who provide a stimulus environment for scientific discussions and collaborations.
Funders:
Funding AgencyGrant Number
NSFCNS-0509332
Department of Energy (DOE)DE-AC02-06CH11357
IBMUNSPECIFIED
ETIUNSPECIFIED
Record Number:CaltechAUTHORS:20170420-130147305
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20170420-130147305
Official Citation:G. R. Gao, T. Sterling, R. Stevens, M. Hereld and W. Zhu, "ParalleX: A Study of A New Parallel Computation Model," 2007 IEEE International Parallel and Distributed Processing Symposium, Long Beach, CA, 2007, pp. 1-6. doi: 10.1109/IPDPS.2007.370484
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:76777
Collection:CaltechAUTHORS
Deposited By: Kristin Buxton
Deposited On:20 Apr 2017 20:18
Last Modified:03 Oct 2019 17:49

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