1981ACM Transactions on Mathematical SoftwareOpen access

A Parallel Method for Tridiagonal Equations

H. H. Wang

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Abstract

A new (partition) method for solving a tndiagonal system of lmear equations is presented in this paper The method is suitable for both parallel and vector computers.Although the partition method has a shghtly higher vector operatmn count than those of the two competing methods (the recursive doubling method and the cychc reduction method), it has a scalar count much smaller than that of the recursive doubling.The scalar counts between the partition method and the cyclic reduction method are so close as to make a timing evaluation inconclusive without considering the data management problem, especmlly when large systems are solved.Various situations under which the partmon method can be preferable are described.

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A new (partition) method for solving a tndiagonal system of lmear equations is presented in this paper The method is suitable for both parallel and vector computers.Although the partition method has a shghtly higher vector operatmn count than those of the two competing methods (the recursive doubling method and the cychc reduction method), it has a scalar count much smaller than that of the recursive doubling.The scalar counts between the partition method and the cyclic reduction method are so close as to make a timing evaluation inconclusive without considering the data management problem, especmlly when large systems are solved.Various situations under which the partmon method can be preferable are described.

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Available abstract

A new (partition) method for solving a tndiagonal system of lmear equations is presented in this paper The method is suitable for both parallel and vector computers.Although the partition method has a shghtly higher vector operatmn count than those of the two competing methods (the recursive doubling method and the cychc reduction method), it has a scalar count much smaller than that of the recursive doubling.The scalar counts between the partition method and the cyclic reduction method are so close as to make a timing evaluation inconclusive without considering the data management problem, especmlly when large systems are solved.Various situations under which the partmon method can be preferable are described.

Key concepts: Tridiagonal matrix, IBM, Citation, Computer science, Parallel computing, Database, Operating system, World Wide Web

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