• 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