Large-scale distributed computational fluid dynamics on the Information Power Grid using globus

被引:12
|
作者
Barnard, S [1 ]
Biswas, R [1 ]
Saini, S [1 ]
Van der Wijngaart, R [1 ]
Yarrow, M [1 ]
Zechtzer, L [1 ]
Foster, I [1 ]
Larsson, O [1 ]
机构
[1] NASA, Ames Res Ctr, NAS Div, Moffett Field, CA 94035 USA
关键词
D O I
10.1109/FMPC.1999.750585
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
This paper describes an experiment in which a large-scale scientific application developed for tightly-coupled parallel machines is adapted to the distributed execution environment of the information Power Grid (IPG). A brief overview of the IPG and a description of the computational fluid dynamics (CFD) algorithm are given. The Globus metacomputing toolkit is used as the enabling device for the geographically-distributed computation. Modifications related to latency hiding and load balancing were required for an efficient implementation of the CFD application in the LPG environment. Performance results on a pair of SGI Origin 2000 machines indicate that real scientific applications can be effectively implemented on the IPG; however a significant amount of continued effort is required to make such an environment useful and accessible to scientists and engineers.
引用
收藏
页码:60 / 67
页数:8
相关论文
共 50 条
  • [1] The impact of large-scale distributed generation on power grid and microgrids
    Ai, Qian
    Wang, Xiaohong
    He, Xing
    [J]. RENEWABLE ENERGY, 2014, 62 : 417 - 423
  • [2] Determination of the circulation for a large-scale wind turbine blade using computational fluid dynamics
    Cheng, Hao
    Du, Guangsheng
    Zhang, Meng
    Wang, Kun
    Bai, Wenbin
    [J]. Fluid Dynamics and Materials Processing, 2020, 16 (04): : 685 - 698
  • [3] Using stroboscopic flow imaging to validate large-scale computational fluid dynamics simulations
    Laurence, Ted A.
    Ly, Sonny
    Fong, Erika
    Shusteff, Maxim
    Randles, Amanda
    Gounley, John
    Draeger, Erik
    [J]. HIGH-SPEED BIOMEDICAL IMAGING AND SPECTROSCOPY: TOWARD BIG DATA INSTRUMENTATION AND MANAGEMENT II, 2017, 10076
  • [4] Determination of the Circulation for a Large-Scale Wind Turbine Blade Using Computational Fluid Dynamics
    Cheng, Hao
    Du, Guangsheng
    Zhang, Meng
    Wang, Kun
    Bai, Wenbin
    [J]. FDMP-FLUID DYNAMICS & MATERIALS PROCESSING, 2020, 16 (04): : 685 - 698
  • [5] Computational Fluid Dynamics Framework for Large-Scale Simulation in Pediatric Cardiology
    Ralovich, Kristof
    Ionasec, Razvan
    Mihalef, Viorel
    Sharma, Puneet
    Georgescu, Bogdan
    Everett, Allen
    Navab, Nassir
    Comaniciu, Dorin
    [J]. COMPUTATIONAL BIOMECHANICS FOR MEDICINE: DEFORMATION AND FLOW, 2012, : 97 - 106
  • [6] YOURSKYG: LARGE-SCALE ASTRONOMICAL IMAGE MOSAICKING ON THE INFORMATION POWER GRID
    Jacob, Joseph C.
    Collier, James B.
    Craymer, Loring G.
    Curkendall, David W.
    [J]. SCALABLE COMPUTING-PRACTICE AND EXPERIENCE, 2006, 7 (01): : 59 - 75
  • [7] Hydrodynamics and design of gas distributor in large-scale amine absorbers using computational fluid dynamics
    Hung Hai Pham
    Lim, Young-Il
    Han, Sungu
    Lim, Bosup
    Ko, Hyun-Shin
    [J]. KOREAN JOURNAL OF CHEMICAL ENGINEERING, 2018, 35 (05) : 1073 - 1082
  • [8] Hydrodynamics and design of gas distributor in large-scale amine absorbers using computational fluid dynamics
    Hung Hai Pham
    Young-Il Lim
    Sungu Han
    Bosup Lim
    Hyun-Shin Ko
    [J]. Korean Journal of Chemical Engineering, 2018, 35 : 1073 - 1082
  • [10] Optimal Flexibility Control of Large-Scale Distributed Heterogeneous Loads in the Power Grid
    Ghaemi, Reza
    Abbaszadeh, Masoud
    Bonanni, Pierino G.
    [J]. IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS, 2019, 6 (03): : 1256 - 1268