HEP Analysis Facility An Approach to Grid Computing
Vivek Chalotra (AIE), Anju Bhasin, Anik Gupta, Sanjeev Singh Sambyal
TL;DR
The paper presents the design and implementation of a High Energy Physics (HEP) analysis facility that leverages grid computing to enable shared, parallel processing across a network of machines, facilitating research tasks.
Contribution
It introduces a cluster architecture based on Scientific Linux CERN 5.5 that consolidates CPU resources for HEP research through grid computing.
Findings
Successful deployment of a shared CPU resource cluster
Enhanced parallel processing capabilities for HEP tasks
Facilitated collaborative research environment
Abstract
HEP Analysis Facility is a cluster designed and implemented in Scientific Linux Cern 5.5 to grant High Energy Physics researchers one place where they can go to undertake a particular task or to provide a parallel processing architecture in which CPU resources are shared across a network and all machines function as one large supercomputer.
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Taxonomy
TopicsDistributed and Parallel Computing Systems · Advanced Data Storage Technologies · Parallel Computing and Optimization Techniques