DocumentCode :
3240486
Title :
Analysis of process distribution in HPC cluster using HPL
Author :
Rajan, A. ; Joshi, Brijendra Kumar ; Rawat, Anil ; Jha, R. ; Bhachavat, K.
Author_Institution :
Comput. Div., Raja Ramanna Centre for Adv. Technol., Indore, India
fYear :
2012
fDate :
6-8 Dec. 2012
Firstpage :
85
Lastpage :
88
Abstract :
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.
Keywords :
computational complexity; graphs; multiprocessing systems; multiprocessor interconnection networks; parallel programming; scientific information systems; workstation clusters; HPC cluster; HPCC; HPL; InfiniBand interconnection; cluster performance; graphs form; high performance computing clusters; high performance linpack; interconnect bandwidth; job complexity; parallel programming techniques; peak computing power; process distribution analysis; scientific applications; HPCC; HPL; InfiniBand; Processor Core;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel Distributed and Grid Computing (PDGC), 2012 2nd IEEE International Conference on
Conference_Location :
Solan
Print_ISBN :
978-1-4673-2922-4
Type :
conf
DOI :
10.1109/PDGC.2012.6449796
Filename :
6449796
Link To Document :
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