Benchmarking of high throughput computing applications on Grids

被引:32
|
作者
Montero, R. S. [1 ]
Huedo, E.
Llorente, I. M.
机构
[1] Univ Complutense Madrid, Fac Informat, Dept Arquitectura Computadores & Automat, E-28040 Madrid, Spain
[2] CSIC, INTA, Ctr Astrobiol, Lab Computac Avanzada Simulac & Aplicac Telemat, Torrejon de Ardoz 28850, Spain
关键词
grid computing; benchmarking; performance modelling; globus toolkit;
D O I
10.1016/j.parco.2005.12.001
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Grids constitute a promising platform to execute loosely coupled, high-throughput parameter sweep applications, which arise naturally in many scientific and engineering fields like bio-informatics, computational fluid dynamics, particle physics, etc. In spite of the simple computational structure of these applications, its efficient execution and scheduling are challenging because of the dynamic and heterogeneous nature of Grids. In this work, we propose a benchmarking methodology to analyze the performance of computational Grids in the execution of high throughput computing applications, that combines: (i) a representative benchmark included in the NAS Grid Benchmark suite; (ii) a performance model that provides a way to parametrize and compare different Grids; and (iii) a set of application-level performance metrics to analyze and predict the performance of this kind of applications. The benchmarking methodology will be applied to the performance analysis of a Globus-based research testbed that spans heterogeneous resources in five institutions. (c) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码:267 / 279
页数:13
相关论文
共 50 条
  • [1] A continuous benchmarking infrastructure for high-performance computing applications
    Alt, Christoph
    Lanser, Martin
    Plewinski, Jonas
    Janki, Atin
    Klawonn, Axel
    Koestler, Harald
    Selzer, Michael
    Ruede, Ulrich
    INTERNATIONAL JOURNAL OF PARALLEL EMERGENT AND DISTRIBUTED SYSTEMS, 2024, 39 (04) : 501 - 523
  • [2] Computing pragocytosis index for high-throughput applications
    Sebastian, Thomas
    Rittscher, Jens
    Yu, Liming
    2006 3RD IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: MACRO TO NANO, VOLS 1-3, 2006, : 546 - +
  • [3] High-Throughput Computing Versus High-Performance Computing for Groundwater Applications
    Fienen, Michael N.
    Hunt, Randall J.
    GROUNDWATER, 2015, 53 (02) : 180 - 184
  • [4] High Performance Computing and Grid Applications in High Throughput Protein Crystallography
    Keegan, R. M.
    Meredith, D.
    Winter, G.
    Winn, M. D.
    ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES, 2004, 60 : S243 - S243
  • [5] perun: Benchmarking Energy Consumption of High-Performance Computing Applications
    Muriedas, Juan Pedro Gutierrez Hermosillo
    Fluegel, Katharina
    Debus, Charlotte
    Obermaier, Holger
    Streit, Achim
    Goetz, Markus
    EURO-PAR 2023: PARALLEL PROCESSING, 2023, 14100 : 17 - 31
  • [6] A Programming Model and Middleware for High Throughput Serverless Computing Applications
    Perez, Alfonso
    Molto, German
    Caballer, Miguel
    Calatrava, Amanda
    SAC '19: PROCEEDINGS OF THE 34TH ACM/SIGAPP SYMPOSIUM ON APPLIED COMPUTING, 2019, : 106 - 113
  • [7] HTCaaS: A Large-Scale High-Throughput Computing by Leveraging Grids, Supercomputers and Cloud
    Rho, Seungwoo
    Kim, Seoyoung
    Kim, Sangwan
    Kim, Seokkyoo
    Kim, Jik-Soo
    Hwang, Soonwook
    2012 SC COMPANION: HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS (SCC), 2012, : 1342 - 1343
  • [8] HTCaaS: A Large-Scale High-Throughput Computing by Leveraging Grids, Supercomputers and Cloud
    Rho, Seungwoo
    Kim, Seoyoung
    Kim, Sangwan
    Kim, Seokkyoo
    Kim, Jik-Soo
    Hwang, Soonwook
    2012 SC COMPANION: HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS (SCC), 2012, : 1341 - 1341
  • [9] Forecasting Network Throughput of Remote Data Access in Computing Grids
    Begy, Volodimir
    Barisits, Martin
    Lassnig, Mario
    Schikuta, Erich
    COMPUTATIONAL SCIENCE - ICCS 2019, PT I, 2019, 11536 : 124 - 137
  • [10] Forecasting network throughput of remote data access in computing grids
    Begy, Volodimir
    Barisits, Martin
    Lassnig, Mario
    Schikuta, Erich
    JOURNAL OF COMPUTATIONAL SCIENCE, 2020, 44