Titlebook: Matrix Computations on Systolic-Type Arrays; Jaime H. Moreno,Tomás Lang Book 1992 Springer Science+Business Media New York 1992 algorithm.

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and wavelet based methods as well as the modern hierarchical matrix techniques are known to provide the data-sparse approximations to the arising fully populated stiffness matrices with almost linear cost O(Nr log?Nr), where 1 d Nr = O(h - ) is the number of degrees of freedom associated with the bo

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Introduction,cientific and engineering applications, such as image and signal processing, systems theory, communications, and graph theory. Moreover, the major computational requirements for many important real-time processing tasks can be reduced to a common set of basic matrix primitives. This basic set includ

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Systolic-Type Arrays for Matrix Algorithms, in such arrays. We refer to these architectures as “systolic-type” arrays because they use some of the features originally proposed for systolic structures [Kun82]. We first describe the issues arising during the process of implementing matrix algorithms as application-specific arrays, and summariz

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