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PERFORMANCE COMPARISON OF ROW PER SLAVE AND ROWS SET PER SLAVE METHOD IN PVM BASED PARALLEL MATRIX MULTIPLICATION
2013
International Journal of Research in Engineering and Technology
Parallel computing operates on the principle that large problems can often be divided into smaller ones, which are then solved concurrently to save time by taking advantage of non-local resources and overcoming memory constraints. Multiplication of larger matrices requires a lot of computation time. This paper deals with the two methods for handling Parallel Matrix Multiplication. First is, dividing the rows of one of the input matrices into set of rows based on the number of slaves and
doi:10.15623/ijret.2013.0212043
fatcat:d2v3dzqe3nfe3bs6ai225u23zm