TY  - JOUR
T1  - Parallel Matrix Multiplication on Grid Enabled PC Cluster
AU - , Karanjeet Singh Kahlon O.P. Gupta AU - , Rakesh Jindal 
JO  - Asian Journal of Information Technology
VL  - 5
IS  - 11
SP  - 1210
EP  - 1212
PY  - 2006
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2006.1210.1212
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2006.1210.1212
KW  - Grid computing
KW  -cluster computing
KW  -parallel processing
KW  -parallel algorithm
AB  - GPCC is a Grid enabled PC Cluster system developed for harnessing computational resources available over LAN for parallel computing. Parallel computing is essential for solving very large scientific and engineering problems. An effective parallel computing solution requires an appropriate parallel machine and a well-optimized parallel program. Most parallel matrix multiplication algorithms use matrix decomposition based on square root of the number of processors available. In this reserch, a grid enabled PC Cluster based on Windows OS integrating the DeskGrid API to communicate among the processors is u The tasks are allocated to the processors based on the log of the processor status and errors committed. sed. The decomposition of the matrix is independent of the no. of processors available for the computation. Dynamic allocation of the matrix pointer not only proved to be distributed memory efficient but also time efficient. This reserch is an attempt to highlight the ease and stable nature of the Grid enabled PC Cluster (GPCC) based on Windows OS.
ER  -