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Computer technology for solving large scale matrix problems
Article
Joukov, OD, Rishe, ND. (2003). Computer technology for solving large scale matrix problems .
EURO-PAR 2011 PARALLEL PROCESSING, PT 1,
2667 848-854. 10.1007/3-540-44839-x_89
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Joukov, OD, Rishe, ND. (2003). Computer technology for solving large scale matrix problems .
EURO-PAR 2011 PARALLEL PROCESSING, PT 1,
2667 848-854. 10.1007/3-540-44839-x_89
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cited authors
Joukov, OD; Rishe, ND
authors
Rishe, Naphtali
abstract
In this paper it is shown a possibility of creating efficient computing technology for solving matrix-vector-based scientific, engineering, economic, and other problems. It is based on using the new class of hypercomplex systems opened by W.F. Hamilton but formed by a procedure which is different from the procedure proposed by his followers. This method allows, for example, to reduce multiplication/summation of two large size matrixes/vectors to multiplication/summation of only two whole numbers and, in general, to use a single real number as an operand instead of matrix/vector. Transforming matrices and vectors into whole numbers can be performed on the basis of parallel massive/multiprocessor systems. © Springer-Verlag Berlin Heidelberg 2003.
publication date
January 1, 2003
published in
DISTRIBUTED COMPUTING (DISC 2014)
Book
Identifiers
Digital Object Identifier (DOI)
https://doi.org/10.1007/3-540-44839-x_89
Additional Document Info
start page
848
end page
854
volume
2667