Fast Illinois solver code: Requirements and scaling properties

Jiming Song; Weng Cho Chew

doi:10.1109/99.714589

Fast Illinois solver code: Requirements and scaling properties

Jiming Song, Weng Cho Chew

Research output: Contribution to journal › Article › peer-review

Abstract

The Fast Illinois Solver Code (FISC) is developed to solve large-scale computing and scattering problems and to expand knowledge about iterative solvers. It uses the multilevel fast multipole algorithms. With FISC a very large problems involving as many as two million unknowns are solved. The FISC's memory requirements and central processing unit (CPU) time are discussed.

Original language	English (US)
Pages (from-to)	19-23
Number of pages	5
Journal	IEEE computational science & engineering
Volume	5
Issue number	3
DOIs	https://doi.org/10.1109/99.714589
State	Published - Jul 1998
Externally published	Yes

ASJC Scopus subject areas

Engineering(all)

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10.1109/99.714589

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abstract = "The Fast Illinois Solver Code (FISC) is developed to solve large-scale computing and scattering problems and to expand knowledge about iterative solvers. It uses the multilevel fast multipole algorithms. With FISC a very large problems involving as many as two million unknowns are solved. The FISC's memory requirements and central processing unit (CPU) time are discussed.",

author = "Jiming Song and Chew, {Weng Cho}",

note = "Funding Information: Office of Naval Research Grant N00074-95-7-0872, National Science Foundation Grant NSF ECS 93-02145, and Air Force Office of Scientific Research MURl Grant F49620-96-1-0025 supported this research. The NCSA at the University of Illinois at Urbana-Champaign and",

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N2 - The Fast Illinois Solver Code (FISC) is developed to solve large-scale computing and scattering problems and to expand knowledge about iterative solvers. It uses the multilevel fast multipole algorithms. With FISC a very large problems involving as many as two million unknowns are solved. The FISC's memory requirements and central processing unit (CPU) time are discussed.

AB - The Fast Illinois Solver Code (FISC) is developed to solve large-scale computing and scattering problems and to expand knowledge about iterative solvers. It uses the multilevel fast multipole algorithms. With FISC a very large problems involving as many as two million unknowns are solved. The FISC's memory requirements and central processing unit (CPU) time are discussed.

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Fast Illinois solver code: Requirements and scaling properties

Abstract

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