In this paper, we suggest a mechanism for implementing a distributed application using RMI based on JAVA threads. The application is parallel matrices multiplication depending on distributed the products block of rows and columns on different machines. One server and seven clients are run to find the product of matrix multiplication. The server distributes the determine blocks of rows and columns on the registered clients. The clients return their product blocks to a server, which calculate the final product of matrix multiplication. Applications of this type will allow loaded servers to transfer part of the load to clients to exploit the computing power available at client side. Experimental result shows that the speed up ratio is equals 9 or the computation time of matrix multiplication with size of 2048 X 2048 is reduced by 89 % by using 7-client.
Keshk, A. (2009). Development an Analytical Performance Models for Matrix Multiplication on Distributing Systems. IJCI. International Journal of Computers and Information, 2(1), 41-52. doi: 10.21608/ijci.2009.33937
MLA
Arabi Keshk. "Development an Analytical Performance Models for Matrix Multiplication on Distributing Systems". IJCI. International Journal of Computers and Information, 2, 1, 2009, 41-52. doi: 10.21608/ijci.2009.33937
HARVARD
Keshk, A. (2009). 'Development an Analytical Performance Models for Matrix Multiplication on Distributing Systems', IJCI. International Journal of Computers and Information, 2(1), pp. 41-52. doi: 10.21608/ijci.2009.33937
VANCOUVER
Keshk, A. Development an Analytical Performance Models for Matrix Multiplication on Distributing Systems. IJCI. International Journal of Computers and Information, 2009; 2(1): 41-52. doi: 10.21608/ijci.2009.33937
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