earticle

논문검색

Performance Evaluation and Analysis of Parallel Computers Workload

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

저자정보

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

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.