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
来源
PROCEEDINGS OF THE 2018 13TH INTERNATIONAL CONFERENCE ON INNOVATIONS IN INFORMATION TECHNOLOGY (IIT) | 2018年
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
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