Parallel Computational ModelsJournal: International Journal of Computer Science and Mobile Applications IJCSMA (Vol.10, No. 8)
Publication Date: 2022-08-30
Authors : Eno Asuquo; V.I.E. Anireh;
Page : 63-71
Keywords : Parallelism; Computational Models; Multiprocessor; Multicomputers;
The purpose of this study is to examine the advantages of using parallel computing. The phrase "parallel computing" refers to a strategy for allocating all of a system's resources in order to maximize performance and programmability while abiding by time and cost constraints. The main driving forces are to improve performance, cut costs, and deliver precise outcomes. Look-ahead, Pipeline, Vectorization, Concurrency, Multitasking, Multiprogramming, Time Sharing, Multi-Threading, and Distributed systems are just a few of the methods that can be used to show parallelism. By dividing a task into its component pieces and allocating each of those parts to a different processor, parallel computing can be accomplished in order to reduce the amount of time required to finish a program.
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Last modified: 2022-08-26 22:40:19