By Topic

Analysis of process distribution in HPC cluster using HPL

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Alpana Rajan ; Computer Division, Raja Ramanna Centre for Advanced Technology, Indore, India ; Brijendra Kumar Joshi ; Anil Rawat ; Rishabh Jha
more authors

Computing using parallel programming techniques running on High Performance Computing Clusters (HPCC) has become very popular for scientific applications. Evaluation of cluster performance is carried out in many different ways. Memory, interconnect bandwidth, number of cores per processor/ node and job complexity are the major parameters which affect and govern the peak computing power delivered by HPCC. In this paper we carried out experiments using High Performance Linpack (HPL) to analyze effect of job distribution among cores on same processor and among cores on distributed processors. Certain runs of HPL have also been carried out to understand effect of interconnect used for building the cluster. The distributed nature of the HPC cluster using InfiniBand interconnect has been analyzed. Results are represented in form of graphs and corresponding analysis is also included in the paper.

Published in:

Parallel Distributed and Grid Computing (PDGC), 2012 2nd IEEE International Conference on

Date of Conference:

6-8 Dec. 2012