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A NEW HIGH PERFORMANCE SPARSE STATIC SOLVER IN FINITE ELEMENT ANALYSIS WITH LOOP-UNROLLING
作者姓名:Chen  Pu  Sun  Shuli
作者单位:LTSC, Department of Mechanics and Engineering Science, Peking University, Beijing 100871, China
基金项目:Project supported by the Research Fund for the Doctoral Program of Higher Education (No.20030001112).
摘    要:In the previous papers, a high performance sparse static solver with two-level unrolling based on a cell-sparse storage scheme was reported. Although the solver reaches quite a high efficiency for a big percentage of finite element analysis benchmark tests, the MFLOPS (million floating operations per second) of LDL^T factorization of benchmark tests vary on a Dell Pentium IV 850 MHz machine from 100 to 456 depending on the average size of the super-equations, i.e., on the average depth of unrolling. In this paper, a new sparse static solver with two-level unrolling that employs the concept of master-equations and searches for an appropriate depths of unrolling is proposed. The new solver provides higher MFLOPS for LDL^T factorization of benchmark tests, and therefore speeds up the solution process.

关 键 词:高性能计算机  稀疏矩阵  有限元分析  存储设备  逻辑运算
收稿时间:2004-07-07
修稿时间:2005-01-04

A NEW HIGH PERFORMANCE SPARSE STATIC SOLVER IN FINITE ELEMENT ANALYSIS WITH LOOP-UNROLLING
Chen Pu Sun Shuli.A NEW HIGH PERFORMANCE SPARSE STATIC SOLVER IN FINITE ELEMENT ANALYSIS WITH LOOP-UNROLLING[J].Acta Mechanica Solida Sinica,2005,18(3):248-255.
Authors:Chen;Pu;Sun;Shuli
Abstract:In the previous papers, a high performance sparse static solver with two-level un-rolling based on a cell-sparse storage scheme was reported. Although the solver reaches quite a high effciency for a big percentage of finite element analysis benchmark tests, the MFLOPS (millionffoating operations per second) of LDLT factorization of benchmark tests vary on a Dell PentiumIV 850 MHz machine from 100 to 456 depending on the average size of the super-equations, i.e.,on the average depth of unrolling. In this paper, a new sparse static solver with two-level unrollingthat employs the concept of master-equations and searches for an appropriate depths of unrollingis proposed. The new solver provides higher MFLOPS for LDLT factorization of benchmark tests,and therefore speeds up the solution process.
Keywords:high performance computing  sparse matrix  finite element analysis
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