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Title: Investigation of Realistic Performance Limits for Tera-Scale Computations

Abstract

The two key factors affecting the performance of tera-scale computations are the parallel efficiency of the underlying algorithms, and the local performance on a single processor. In the past, most attention was given to parallel efficiency and parallel scalability. This led to algorithms and techniques that provide good scalability and parallel efficiency. However, it was often assumed that local computations, which require no inter-processor communications, could be performed at a high single processor performance rate (i.e. a high fraction of the advertised peak floating point arithmetic performance). For today's parallel computers, this might not be achievable. An investigation of realistic performance limits on a single processor is the focus of this paper.

Authors:
;
Publication Date:
Research Org.:
Lawrence Livermore National Lab., CA (US)
Sponsoring Org.:
USDOE Office of Defense Programs (DP) (US)
OSTI Identifier:
792604
Report Number(s):
UCRL-JC-135745
TRN: US200302%%52
DOE Contract Number:  
W-7405-Eng-48
Resource Type:
Conference
Resource Relation:
Conference: High Performance Computing 2000, Washington, DC (US), 04/16/2000--04/20/2000; Other Information: PBD: 9 Sep 1999
Country of Publication:
United States
Language:
English
Subject:
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; ALGORITHMS; COMMUNICATIONS; COMPUTERS; EFFICIENCY; PERFORMANCE

Citation Formats

Brummer, T A, and Hanebutte, U R. Investigation of Realistic Performance Limits for Tera-Scale Computations. United States: N. p., 1999. Web.
Brummer, T A, & Hanebutte, U R. Investigation of Realistic Performance Limits for Tera-Scale Computations. United States.
Brummer, T A, and Hanebutte, U R. Thu . "Investigation of Realistic Performance Limits for Tera-Scale Computations". United States. https://www.osti.gov/servlets/purl/792604.
@article{osti_792604,
title = {Investigation of Realistic Performance Limits for Tera-Scale Computations},
author = {Brummer, T A and Hanebutte, U R},
abstractNote = {The two key factors affecting the performance of tera-scale computations are the parallel efficiency of the underlying algorithms, and the local performance on a single processor. In the past, most attention was given to parallel efficiency and parallel scalability. This led to algorithms and techniques that provide good scalability and parallel efficiency. However, it was often assumed that local computations, which require no inter-processor communications, could be performed at a high single processor performance rate (i.e. a high fraction of the advertised peak floating point arithmetic performance). For today's parallel computers, this might not be achievable. An investigation of realistic performance limits on a single processor is the focus of this paper.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1999},
month = {9}
}

Conference:
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