Proposal for grid computing for nuclear applications

The use of computer clusters for computational sciences including computational physics is vital as it provides computing power to crunch big numbers at a faster rate. In compute intensive applications that requires high resolution such as Monte Carlo simulation, the use of computer clusters in a gr...

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Bibliographic Details
Main Authors: Idris, Faridah Mohamad, Abdullah Wan Ahmad Tajuddin Wan, Ibrahim Zainol Abidin, Zukhaimira, Zolkapli, Aizuddin, Anuar Afiq, Nurfikri, Norjoharuddeen, Ali Mohd Adli bin Md, Mohamed Abdul Aziz, Ismail Roslan, Ahmad Abdul Rahim, Ismail Saaidi, Haris Mohd Fauzi B, Sulaiman Mohamad Safuan B, Aslan Mohd Dzul Aiman Bin, Samsudin, Nursuliza Bt, Ibrahim, Maizura Bt, Ahmad Megat Harun Al Rashid B Megat, Yazid, Hafizal B, Jamro, Rafhayudi B, Azman, Azraf B, Rahman Anwar B Abdul, Ibrahim Mohd Rizal B Mamat @, Muhamad Shalina Bt Sheik, Hasni, Hassan, Sjaugi Farhan
Format: Conference Proceeding
Language:English
Subjects:
Clusters
Computational grids
Computer simulation
COMPUTERIZED SIMULATION
GRIDS
MATHEMATICAL METHODS AND COMPUTING
MONTE CARLO METHOD
Monte Carlo simulation
PROPOSALS
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Summary:The use of computer clusters for computational sciences including computational physics is vital as it provides computing power to crunch big numbers at a faster rate. In compute intensive applications that requires high resolution such as Monte Carlo simulation, the use of computer clusters in a grid form that supplies computational power to any nodes within the grid that needs computing power, has now become a necessity. In this paper, we described how the clusters running on a specific application could use resources within the grid, to run the applications to speed up the computing process.
ISSN:0094-243X
1551-7616
DOI:10.1063/1.4866115