Open Access
Intelligent Parallel Iterative Methods for Solving Linear Systems of Equations with Large Sparse Matrices
Soo-Hoan Chae,Myung-Kyu Kim +1 more
- 01 Jan 2009
- Vol. 13, Iss: 1, pp 62-67
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TL;DR: An intelligent parallel iterative method for solving linear systems of equations with large sparse matrices is proposed and its efficiency is proved through simulation.
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Abstract: The demand for high performance computer grows to solve large linear systems of equations in such engineering fields - circuit simulation for VLSI design, image processing, structural engineering, aerodynamics, etc. Many various parallel processing systems have been proposed and manufactured to satisfy the demand. The properties of linear system determine what algorithm is proper to solve the problem. Direct methods or iterative methods can be used for solving the problem. In this paper, an intelligent parallel iterative method for solving linear systems of equations with large sparse matrices is proposed and its efficiency is proved through simulation.
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Citations
•Book
An architectural comparison of dataflow systems
Vason P. Srini
- 03 Jan 1992
Abstract: A Distributed Computer System, or DCS, based on the dataflow model of computation has the potential to concurrently execute a large number of tasks employing potentially thousands of processors. Since control has to be distributed and asynchronous in such a DCS, several new challenges appear in the design of processors, momory, and interconnection networks. Some of the challenges in the design of processors is presented in this article. An architectural comparison of seven dataflow processors based on sixteen criteria forms the major part of the article.
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TL;DR: Computer architecture is a truly fascinating field in which improvements in the basic echnology and innovations how to make best use of he underlying technology has yielded a performance growth exceeding a million times over the past 50 years.
An Architectural Comparison of Dataflow Systems
TL;DR: An architectural comparison of seven dataflow processors based on sixteen criteria forms the major part of the article and presents the challenges in the design of processors.
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TL;DR: This book provides an important starting place for a comprehensive taxonomy of parallel algorithms, speaking to questions that lie at the heart of current research in numerical analysis, artificial intelligence, and database management.
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A Pipelined Solution Method of Tridiagonal Linear Equation Systems.
Guang R. Gao
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