Earticle

초록

영어

The current and future computer industry is changing from single core CPU to Multicore Processors. The next generation computing systems are focusing on parallel computing to solve the problem in fast and high speed using parallel programming concepts. By running more than one task at the same time with multiple processors concurrently or parallel we can achieve high speed in our computing applications. Here the performance improvement is measured in terms of increase in the number of cores per machine and is analyzed for better optimal work load balance. The parallel computers follow different workload scheduler. In this paper we investigate how to tune the performance of threaded applications with balanced load for each core or processor. The focus here is the process of comparative analysis of single core and multicore systems to run an application program for faster execution time and optimize the scheduler for better performance.

목차

Abstract
 1. Introduction
 2. Parallel Programming Languages
  2.1. Overview of Open MP
  2.2. Performance Evaluation and Analysis
  2.3. Work load Scheduler
 References

키워드

저자

• M.Narayana Moorthi [ Assistant Professor, (SG), SCOPE-VIT University, Vellore-14 ]
• R.Manjula [ Associate Professor, SCOPE-VIT University, Vellore-14 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Grid and Distributed Computing

• 간기

  격월간

• pISSN

  2005-4262

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605