A Framework for End-to-End Simulation of High-performance Computing Systems

被引:13
作者
Denzel, Wolfgang E. [1 ]
Li, Jian [2 ]
Walker, Peter [3 ]
Jin, Yuho [4 ]
机构
[1] IBM Zurich Res Lab, Server Technol Grp, Ruschlikon, Switzerland
[2] IBM Austin Res Lab, Novel Syst Architecture Grp, Austin, TX USA
[3] Spawn Labs Inc, Austin, TX USA
[4] Texas A&M Univ, Dept Comp Sci, College Stn, TX 77843 USA
来源
SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL | 2010年 / 86卷 / 5-6期
关键词
Applications in Science and Engineering; Computer Architecture; Computer Networks; Tools and Technology; High Performance Computing; Modeling and Simulation Environments; Simulation System Architecture; PARALLEL; ALGORITHMS;
D O I
10.1177/0037549709340840
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
We present an end-to-end simulation framework that is capable of simulating High-Performance Computing (HPC) systems with hundreds of thousands of interconnected processors. The tool applies discrete event simulation and is driven by real-world application traces. It provides a semantically correct replay of MPI application traces and maintains reasonable simulation details of both the processors in general and the interconnection network in particular. Among other things, it features several interconnection network topologies, flexible routing schemes, arbitrary application task placement, point-to-point statistics collection, and data visualization. With a few case studies, we demonstrate the usefulness of this tool for assisting high-level system design as well as for performance projection and application tuning of future HPC systems.
引用
收藏
页码:331 / 350
页数:20
相关论文
共 39 条
  • [1] Blue Gene/L torus interconnection network
    Adiga, NR
    Blumrich, MA
    Chen, D
    Coteus, P
    Gara, A
    Giampapa, ME
    Heidelberger, P
    Singh, S
    Steinmacher-Burow, BD
    Takken, T
    Tsao, M
    Vranas, P
    [J]. IBM JOURNAL OF RESEARCH AND DEVELOPMENT, 2005, 49 (2-3) : 265 - 276
  • [2] New advances in chemistry and materials science with CPMD and parallel computing
    Andreoni, W
    Curioni, A
    [J]. PARALLEL COMPUTING, 2000, 26 (7-8) : 819 - 842
  • [3] [Anonymous], P 2006 ACM IEEE C SU
  • [4] Badia R. M., 2003, P WORKSH GRID APPL P
  • [5] Performance prediction of large parallel applications using parallel simulations
    Bagrodia, R
    Deelman, E
    Docy, S
    Phan, T
    [J]. ACM SIGPLAN NOTICES, 1999, 34 (08) : 151 - 162
  • [6] BOHRER P, 2004, ACM SIGMETRICS PERFO, V31, P8
  • [7] The Amber biomolecular simulation programs
    Case, DA
    Cheatham, TE
    Darden, T
    Gohlke, H
    Luo, R
    Merz, KM
    Onufriev, A
    Simmerling, C
    Wang, B
    Woods, RJ
    [J]. JOURNAL OF COMPUTATIONAL CHEMISTRY, 2005, 26 (16) : 1668 - 1688
  • [8] Scaling an optimistic parallel simulation of large-scale interconnection networks
    Choudhury, N
    Mehta, Y
    Wilmarth, TL
    Bohm, EJ
    Kalé, LV
    [J]. PROCEEDINGS OF THE 2005 WINTER SIMULATION CONFERENCE, VOLS 1-4, 2005, : 591 - 600
  • [9] Cormen T., 2001, Introduction to Algorithms
  • [10] Duato J., 2003, Interconnection networks