Document Type : Research Paper
Authors
1 Foundation of Technical Education/Arbil - Amedi Technical Inst.
2 Amedi Education Directory.
Abstract
Complex problems need long time to be solved, with low efficiency and performance. Therefore, to
overcome these drawbacks, the studies went toward the approaches of breaking the problem into independent
parts, and treating each part individually in the way that each processing element can execute its part of the
problem simultaneously with the others.Parallel processors are computer systems that consist of multiple
processing units connected via some interconnection network and the software needed to make the processing
units work together. Parallel processing is divided into three types; Shared, Distributed and Hybrid memory
systems.In this paper, distributed memory systems addressed depending on client/servers principles, the network
can contain any number of nodes; one of them is a client and the others are servers. The algorithms used here
are capable of calculating the (Started, Terminated, Consumed -CPU and Total Execution- times and CPU
usage) of servers and the Client's -CPU and total execution- times. This work addresses an improved approach
for problem subdivision in balanced form and design flexible algorithms to communicate efficiently between
client-side and servers-side in the way to overcome the problems of hardware networking components and
message passing problems. We addressed Matrix-Algebra case-study to display the effect of balance loaddivision
for this approach. The obtained results are checked and monitored by special programming-checkingsubroutines
through many testing-iterations and proved a high degree of accuracy. All of these algorithms
implemented using Java Language
Keywords
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