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Title: Multicore Challenges and Benefits for High Performance Scientific Computing

Abstract

Until recently, performance gains in processors were achieved largely by improvements in clock speeds and instruction level parallelism. Thus, applications could obtain performance increases with relatively minor changes by upgrading to the latest generation of computing hardware. Currently, however, processor performance improvements are realized by using multicore technology and hardware support for multiple threads within each core, and taking full advantage of this technology to improve the performance of applications requires exposure of extreme levels of software parallelism. We will here discuss the architecture of parallel computers constructed from many multicore chips as well as techniques for managing the complexity of programming such computers, including the hybrid message-passing/multi-threading programming model. We will illustrate these ideas with a hybrid distributed memory matrix multiply and a quantum chemistry algorithm for energy computation using Møller–Plesset perturbation theory.

Authors:
 [1];  [1]
  1. Sandia National Laboratories, P.O. Box 969, Livermore, CA 94551, USA
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1197988
Grant/Contract Number:  
DEAC04-94AL85000
Resource Type:
Published Article
Journal Name:
Scientific Programming
Additional Journal Information:
Journal Name: Scientific Programming Journal Volume: 16 Journal Issue: 4; Journal ID: ISSN 1058-9244
Publisher:
Hindawi Publishing Corporation
Country of Publication:
Egypt
Language:
English

Citation Formats

Nielsen, Ida M. B., and Janssen, Curtis L. Multicore Challenges and Benefits for High Performance Scientific Computing. Egypt: N. p., 2008. Web. doi:10.1155/2008/450818.
Nielsen, Ida M. B., & Janssen, Curtis L. Multicore Challenges and Benefits for High Performance Scientific Computing. Egypt. doi:10.1155/2008/450818.
Nielsen, Ida M. B., and Janssen, Curtis L. Tue . "Multicore Challenges and Benefits for High Performance Scientific Computing". Egypt. doi:10.1155/2008/450818.
@article{osti_1197988,
title = {Multicore Challenges and Benefits for High Performance Scientific Computing},
author = {Nielsen, Ida M. B. and Janssen, Curtis L.},
abstractNote = {Until recently, performance gains in processors were achieved largely by improvements in clock speeds and instruction level parallelism. Thus, applications could obtain performance increases with relatively minor changes by upgrading to the latest generation of computing hardware. Currently, however, processor performance improvements are realized by using multicore technology and hardware support for multiple threads within each core, and taking full advantage of this technology to improve the performance of applications requires exposure of extreme levels of software parallelism. We will here discuss the architecture of parallel computers constructed from many multicore chips as well as techniques for managing the complexity of programming such computers, including the hybrid message-passing/multi-threading programming model. We will illustrate these ideas with a hybrid distributed memory matrix multiply and a quantum chemistry algorithm for energy computation using Møller–Plesset perturbation theory.},
doi = {10.1155/2008/450818},
journal = {Scientific Programming},
number = 4,
volume = 16,
place = {Egypt},
year = {2008},
month = {1}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1155/2008/450818

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