Enhancing Scalability of Sparse Direct Methods

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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.

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Li, Xiaoye S.; Demmel, James; Grigori, Laura; Gu, Ming; Xia,Jianlin; Jardin, Steve et al. July 23, 2007.

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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.

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  • SciDAC 2007, Boston, USA, June 24-28,2007

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  • Report No.: LBNL--63247
  • Grant Number: DE-AC02-05CH11231
  • Office of Scientific & Technical Information Report Number: 928386
  • Archival Resource Key: ark:/67531/metadc896087

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  • July 23, 2007

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  • Sept. 27, 2016, 1:39 a.m.

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  • Sept. 22, 2017, 3:02 p.m.

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Li, Xiaoye S.; Demmel, James; Grigori, Laura; Gu, Ming; Xia,Jianlin; Jardin, Steve et al. Enhancing Scalability of Sparse Direct Methods, article, July 23, 2007; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc896087/: accessed September 26, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.