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Performance of Hadoop based Replica ...
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Niu, Jin.
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Performance of Hadoop based Replica Exchange Molecular Dynamics on cloud computing.
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Performance of Hadoop based Replica Exchange Molecular Dynamics on cloud computing./
Author:
Niu, Jin.
Description:
54 p.
Notes:
Source: Masters Abstracts International, Volume: 52-02.
Contained By:
Masters Abstracts International52-02(E).
Subject:
Computer Science. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1543131
ISBN:
9781303289972
Performance of Hadoop based Replica Exchange Molecular Dynamics on cloud computing.
Niu, Jin.
Performance of Hadoop based Replica Exchange Molecular Dynamics on cloud computing.
- 54 p.
Source: Masters Abstracts International, Volume: 52-02.
Thesis (M.S.)--Southern University and Agricultural and Mechanical College, 2013.
Recently, cloud computing has emerged as a prevalent computing paradigm with the advantage of virtualization, scalability, fault tolerance, and a usage based pricing model. Replica Exchange Molecular Dynamics (REMD), as a scientific application, is a technique which can improve the sampling of the potential energy during the process of Molecular Dynamics. Because of its inherent parallel feature, it is realistic to be converted to a cloud computing application. In our work, we implemented Hadoop based REMD on both cloud computing and parallel computing platforms. The performance of REMD was tested on both platforms and the advantage of cloud computing platform was illustrated.
ISBN: 9781303289972Subjects--Topical Terms:
626642
Computer Science.
Performance of Hadoop based Replica Exchange Molecular Dynamics on cloud computing.
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Recently, cloud computing has emerged as a prevalent computing paradigm with the advantage of virtualization, scalability, fault tolerance, and a usage based pricing model. Replica Exchange Molecular Dynamics (REMD), as a scientific application, is a technique which can improve the sampling of the potential energy during the process of Molecular Dynamics. Because of its inherent parallel feature, it is realistic to be converted to a cloud computing application. In our work, we implemented Hadoop based REMD on both cloud computing and parallel computing platforms. The performance of REMD was tested on both platforms and the advantage of cloud computing platform was illustrated.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1543131
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