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Title: Enhancing Scalability of Sparse Direct Methods

Abstract

TOPS is providing high-performance, scalable sparse direct solvers, which have had significant impacts on the SciDAC applications, including fusion simulation (CEMM), accelerator modeling (COMPASS), as well as many other mission-critical applications in DOE and elsewhere. Our recent developments have been focusing on new techniques to overcome scalability bottleneck of direct methods, in both time and memory. These include parallelizing symbolic analysis phase and developing linear-complexity sparse factorization methods. The new techniques will make sparse direct methods more widely usable in large 3D simulations on highly-parallel petascale computers.

Authors:
; ; ; ; ; ; ;
Publication Date:
Research Org.:
Ernest Orlando Lawrence Berkeley NationalLaboratory, Berkeley, CA (US)
Sponsoring Org.:
USDOE Director. Office of Science. Advanced ScientificComputing Research
OSTI Identifier:
928386
Report Number(s):
LBNL-63247
R&D Project: KS1210; BnR: KJ0101010; TRN: US0804128
DOE Contract Number:  
DE-AC02-05CH11231
Resource Type:
Conference
Resource Relation:
Conference: SciDAC 2007, Boston, USA, June 24-28,2007
Country of Publication:
United States
Language:
English
Subject:
99; ACCELERATORS; COMPUTERS; FACTORIZATION; FOCUSING; SIMULATION

Citation Formats

Li, Xiaoye S., Demmel, James, Grigori, Laura, Gu, Ming, Xia,Jianlin, Jardin, Steve, Sovinec, Carl, and Lee, Lie-Quan. Enhancing Scalability of Sparse Direct Methods. United States: N. p., 2007. Web.
Li, Xiaoye S., Demmel, James, Grigori, Laura, Gu, Ming, Xia,Jianlin, Jardin, Steve, Sovinec, Carl, & Lee, Lie-Quan. Enhancing Scalability of Sparse Direct Methods. United States.
Li, Xiaoye S., Demmel, James, Grigori, Laura, Gu, Ming, Xia,Jianlin, Jardin, Steve, Sovinec, Carl, and Lee, Lie-Quan. Mon . "Enhancing Scalability of Sparse Direct Methods". United States. https://www.osti.gov/servlets/purl/928386.
@article{osti_928386,
title = {Enhancing Scalability of Sparse Direct Methods},
author = {Li, Xiaoye S. and Demmel, James and Grigori, Laura and Gu, Ming and Xia,Jianlin and Jardin, Steve and Sovinec, Carl and Lee, Lie-Quan},
abstractNote = {TOPS is providing high-performance, scalable sparse direct solvers, which have had significant impacts on the SciDAC applications, including fusion simulation (CEMM), accelerator modeling (COMPASS), as well as many other mission-critical applications in DOE and elsewhere. Our recent developments have been focusing on new techniques to overcome scalability bottleneck of direct methods, in both time and memory. These include parallelizing symbolic analysis phase and developing linear-complexity sparse factorization methods. The new techniques will make sparse direct methods more widely usable in large 3D simulations on highly-parallel petascale computers.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Jul 23 00:00:00 EDT 2007},
month = {Mon Jul 23 00:00:00 EDT 2007}
}

Conference:
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