HIGH-PERFORMANCE COMPUTING FOR THE HUMAN GENOME PROJECT

被引:1
|
作者
BOHM, K
机构
[1] Department of Central Data Processing, Deutsches Krebsforschungszentrum, D 69120 Heidelberg
关键词
GRAND CHALLENGES; CLIENT/SERVER; PARALLEL PROCESSOR SYSTEM; HIGH PERFORMANCE COMPUTING; RIGHTSIZING; BIOCOMPUTING;
D O I
10.1016/0169-2607(94)01617-O
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Human Genome Analysis and Image Processing are part of the 'Grand Challenges' in High Performance Computing. The traditional mainframe has become insufficient for these applications in Biocomputing. New scalable parallel processor systems enter the marketplace with superior price/performance. The evaluation process of such a system by an application-oriented benchmark test suite is described. The system is integrated in the client/server structure of the Deutsches Krebsforschungszentrum where 'rightsizing' will eliminate the mainframe completely in the near future.
引用
收藏
页码:107 / 112
页数:6
相关论文
共 50 条
  • [41] High-Performance Computing in Edge Computing Networks
    Tu, Wanqing
    Pop, Florin
    Jia, Weijia
    Wu, Jie
    Iacono, Mauro
    JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2019, 123 : 230 - 230
  • [42] Review: High-performance computing to detect epistasis in genome scale data sets
    Upton, Alex
    Trelles, Oswaldo
    Antonio Cornejo-Garcia, Jose
    Richard Perkins, James
    BRIEFINGS IN BIOINFORMATICS, 2016, 17 (03) : 368 - 379
  • [43] A survey of genome sequence assembly techniques and algorithms using high-performance computing
    Ahmed, Munib
    Ahmad, Ishfaq
    Ahmad, Mohammad Saad
    JOURNAL OF SUPERCOMPUTING, 2015, 71 (01): : 293 - 339
  • [44] HIGH-PERFORMANCE COMPUTING SUDDENLY HIGH PROFILE
    WILCOX, S
    COMPUTER, 1989, 22 (11) : 75 - 75
  • [45] APPLICATION OF HIGH-PERFORMANCE COMPUTING TO NUMERICAL-SIMULATION OF HUMAN MOVEMENT
    ANDERSON, FC
    ZIEGLER, JM
    PANDY, MG
    WHALEN, RT
    JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE ASME, 1995, 117 (01): : 155 - 157
  • [46] parSMURF, a high-performance computing tool for the genome-wide detection of pathogenic variants
    Petrini, Alessandro
    Mesiti, Marco
    Schubach, Max
    Frasca, Marco
    Danis, Daniel
    Re, Matteo
    Grossi, Giuliano
    Cappelletti, Luca
    Castrignano, Tiziana
    Robinson, Peter
    Valentini, Giorgio
    GIGASCIENCE, 2020, 9 (05):
  • [47] Trends in high-performance computing and communications for ubiquitous computing
    Kim, Tai-Hoon
    Hsu, Ching-Hsien
    Hussain, Sajid
    KNOWLEDGE ENGINEERING REVIEW, 2014, 29 (04): : 407 - 408
  • [48] Simulation of clinical electrophysiology in 3D human atria: a high-performance computing and high-performance visualization application
    Kharche, Sanjay
    Seemann, Gunnar
    Margetts, Lee
    Leng, Joanna
    Holden, Arun V.
    Zhang, Henggui
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2008, 20 (11): : 1317 - 1328
  • [49] Myths and legends in high-performance computing
    Matsuoka, Satoshi
    Domke, Jens
    Wahib, Mohamed
    Drozd, Aleksandr
    Hoefler, Torsten
    INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS, 2023, 37 (3-4): : 245 - 259
  • [50] High-performance computing education - Introduction
    Lathrop, Scott
    Murphy, Thomas
    COMPUTING IN SCIENCE & ENGINEERING, 2008, 10 (05) : 9 - 11