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2006
IEEE
14 years 3 months ago
Matrix Multiplication on Two Interconnected Processors
This paper presents a new partitioning algorithm to perform matrix multiplication on two interconnected heterogeneous processors. Data is partitioned in a way which minimizes the ...
Brett A. Becker, Alexey L. Lastovetsky
ICPPW
2002
IEEE
14 years 2 months ago
A Programming Methodology for Designing Block Recursive Algorithms on Various Computer Networks
In this paper, we use the tensor product notation as the framework of a programming methodology for designing block recursive algorithms on various computer networks. In our previ...
Min-Hsuan Fan, Chua-Huang Huang, Yeh-Ching Chung
SIAMSC
2011
177views more  SIAMSC 2011»
13 years 4 months ago
Computing f(A)b via Least Squares Polynomial Approximations
Given a certain function f, various methods have been proposed in the past for addressing the important problem of computing the matrix-vector product f(A)b without explicitly comp...
Jie Chen, Mihai Anitescu, Yousef Saad
FOCS
2005
IEEE
14 years 2 months ago
Group-theoretic Algorithms for Matrix Multiplication
We further develop the group-theoretic approach to fast matrix multiplication introduced by Cohn and Umans, and for the first time use it to derive algorithms asymptotically fast...
Henry Cohn, Robert D. Kleinberg, Balázs Sze...
MICS
2007
128views more  MICS 2007»
13 years 8 months ago
Structured Low Rank Approximation of a Bezout Matrix
The task of determining the approximate greatest common divisor (GCD) of more than two univariate polynomials with inexact coefficients can be formulated as computing for a given B...
Dongxia Sun, Lihong Zhi