Cloud Automation to Run Large-Scale Quantum Chemical Simulations

被引:0
|
作者
AlRayhi, N. [1 ]
Salah, K. [1 ]
Al-Kork, N. [2 ]
Bentiba, A. [1 ]
Trabelsi, Z. [3 ]
Azad, M. A. [4 ]
机构
[1] Khalifa Univ Sci & Technol, Elect & Comp Engn Dept, Abu Dhabi, U Arab Emirates
[2] Khalifa Univ Sci & Technol, Appl Math & Sci Dept, Abu Dhabi, U Arab Emirates
[3] UAE Univ, Coll Informat Technol, Al Ain, U Arab Emirates
[4] Newcastle Univ, Sch Comp Sci, Newcastle Upon Tyne, Tyne & Wear, England
关键词
Cloud Computing; Parallel Processing; Cluster Computing; Scientific Computation;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Scientists and researchers often need to run mid scale to large-scale scientific computations on powerful computing machines or platforms. Even with today's available powerful computing platforms, many of these computations still take enormous runtime. With the advent of cloud computing technology, scientists are now able to reduce significantly the computational time by outsourcing computation functions to the cloud systems. We show in this paper how AWS (Amazon Web Services) cloud computing platform can be automated in executing large-scale computationally expensive scientific experiments. Specifically, we show how quantum chemistry simulations can be executed in parallel and in a cluster-based fashion using the publicly available and popular Amazon cloud platform. With Amazon cloud, we were able to reduce the computation time by almost five orders of magnitude. In addition, the paper offers many important useful guidelines, scripts, and commands for scientists and researchers on how to automate and execute parallel and cluster-based scientific jobs on any cloud platform.
引用
收藏
页码:75 / 80
页数:6
相关论文
共 50 条
  • [1] LARGE-SCALE SIMULATIONS OF THE THERMODYNAMICS OF QUANTUM CHROMODYNAMICS
    KOGUT, JB
    SINCLAIR, DK
    NUCLEAR PHYSICS B, 1987, 280 (04) : 625 - 643
  • [2] Distributed Data Processing for Large-Scale Simulations on Cloud
    Lu, Tianjian
    Hoyer, Stephan
    Wang, Qing
    Hu, Lily
    Chen, Yi-Fan
    2021 JOINT IEEE INTERNATIONAL SYMPOSIUM ON ELECTROMAGNETIC COMPATIBILITY, SIGNAL & POWER INTEGRITY, AND EMC EUROPE (EMC+SIPI AND EMC EUROPE), 2021, : 53 - 58
  • [3] Large-Scale Test Automation in the Cloud (Invited Industrial Talk)
    Penix, John
    2012 34TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE), 2012, : 1122 - 1122
  • [4] Automation and orchestration framework for large-scale enterprise cloud migration
    Hwang, J.
    Bai, K.
    Tacci, M.
    Vukovic, M.
    Anerousis, N.
    IBM JOURNAL OF RESEARCH AND DEVELOPMENT, 2016, 60 (2-3)
  • [5] Large-scale quantum chemical molecular dynamics simulations on the formation dynamics of hydrogen by the chemical reactions of water
    Kubo, Momoji
    Sasaki, Yumiko
    Chiba, Keiko
    Qiang, Pei
    Rajjak, Abdul
    Tsuboi, Hideyuki
    Koyama, Michihisa
    Broclawik, Ewa
    Akutsu, Kazuyoshi
    Hirota, Masahiro
    Kitada, Masayoshi
    Hirata, Hajime
    Miyamoto, Akira
    HT2005: PROCEEDINGS OF THE ASME SUMMER HEAT TRANSFER CONFERENCE 2005, VOL 1, 2005, : 261 - 263
  • [6] Large-scale quantum mechanical simulations of carbon nanowires
    Menon, M
    Richter, E
    Raghavan, P
    Teranishi, K
    SUPERLATTICES AND MICROSTRUCTURES, 2000, 27 (5-6) : 577 - 581
  • [7] Fractality in idealized simulations of large-scale tropical cloud systems
    Yano, J
    McWilliams, JC
    Moncrieff, MW
    MONTHLY WEATHER REVIEW, 1996, 124 (05) : 838 - 848
  • [8] Strain effects in large-scale atomistic quantum dot simulations
    Oyafuso, F
    Klimeck, G
    von Allmen, P
    Boykin, T
    Bowen, RC
    PHYSICA STATUS SOLIDI B-BASIC RESEARCH, 2003, 239 (01): : 71 - 79
  • [9] Enabling Large-Scale Simulations of Quantum Transport with Manycore Computing
    Jeong, Yosang
    Ryu, Hoon
    ELECTRONICS, 2021, 10 (03) : 1 - 17
  • [10] Point cloud transformers for parameter inference of large-scale tissue simulations
    Herold, Julian M.
    Schug, Alexander H.
    Behle, Eric
    BIOPHYSICAL JOURNAL, 2024, 123 (03) : 325A - 325A