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### Hep Cluster First Step Towards Grid Computing

Chalotra, Vivek, Bhasin, Anju, Gupta, Anik, Sambyal, Sanjeev Singh
Cornell University
Available
Title: Hep Cluster First Step Towards Grid Computing
Author: Chalotra, Vivek; Bhasin, Anju; Gupta, Anik; Sambyal, Sanjeev Singh
Subject: Computer Science - Distributed, Parallel, And Cluster Computing
Description: HEP Cluster is 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. It gives physicists a facility to access computers and data, transparently, without having to consider location, operating system, account administration, and other details. By using this facility researchers can process their jobs much faster than the stand alone desktop systems. Keywords: Cluster, Network, Storage, Parallel Computing & Gris. Comment: 7th JK Science Congress 2011, Jammu, India
Identifier: 1210.7626 (ARXIV ID)
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### Hep Cluster First Step Towards Grid Computing

Chalotra, Vivek, Bhasin, Anju, Gupta, Anik
arXiv.org, Oct 29, 2012
© ProQuest LLC All rights reserved, Engineering Database, Publicly Available Content Database, ProQuest Engineering Collection, ProQuest Technology Collection, ProQuest SciTech Collection, Materials Science & Engineering Database, ProQuest Central (new), ProQuest Central Korea, SciTech Premium Collection, Technology Collection, ProQuest Central Essentials, ProQuest One Academic, Engineering Collection (ProQuest)
Available
Title: Hep Cluster First Step Towards Grid Computing
Author: Chalotra, Vivek; Bhasin, Anju; Gupta, Anik
Contributor: Gupta, Anik (pacrepositoryorg)
Subject: Researchers ; Parallel Processing ; Physicists ; Clusters ; Computational Grids ; Central Processing Units–Cpus
Description: HEP Cluster is 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. It gives physicists a facility to access computers and data, transparently, without having to consider location, operating system, account administration, and other details. By using this facility researchers can process their jobs much faster than the stand alone desktop systems. Keywords: Cluster, Network, Storage, Parallel Computing & Gris.
Is part of: arXiv.org, Oct 29, 2012
Identifier: 2331-8422 (E-ISSN)
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### HEP Analysis Facility An Approach to Grid Computing

Chalotra, Vivek, Bhasin, Anju, Gupta, Anik
arXiv.org, Oct 29, 2012
© ProQuest LLC All rights reserved, Engineering Database, Publicly Available Content Database, ProQuest Engineering Collection, ProQuest Technology Collection, ProQuest SciTech Collection, Materials Science & Engineering Database, ProQuest Central (new), ProQuest Central Korea, SciTech Premium Collection, Technology Collection, ProQuest Central Essentials, ProQuest One Academic, Engineering Collection (ProQuest)
Available
Title: HEP Analysis Facility An Approach to Grid Computing
Author: Chalotra, Vivek; Bhasin, Anju; Gupta, Anik
Contributor: Gupta, Anik (pacrepositoryorg)
Subject: Parallel Processing ; Computational Grids ; Central Processing Units–Cpus
Description: 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.
Is part of: arXiv.org, Oct 29, 2012
Identifier: 2331-8422 (E-ISSN)
• Several versions

### A Review on Meson Production in Heavy-Ion Collision

Nasim, Md, Bairathi, Vipul, Sharma, Mukesh Kumar, Mohanty, Bedangadas, Bhasin, Anju
Advances in High Energy Physics, 2015, Vol.2015, 16 pages [Peer Reviewed Journal]

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### Energy Efficient Algorithms and Power Consumption Techniques in High Performance Computing

Chalotra, Vivek, Bhasin, Anju, Gupta, Anik, Mahajan, Sanjay
arXiv.org, Oct 30, 2012
© ProQuest LLC All rights reserved, Engineering Database, Publicly Available Content Database, ProQuest Engineering Collection, ProQuest Technology Collection, ProQuest SciTech Collection, Materials Science & Engineering Database, ProQuest Central (new), ProQuest Central Korea, SciTech Premium Collection, Technology Collection, ProQuest Central Essentials, ProQuest One Academic, Engineering Collection (ProQuest)
Available
Title: Energy Efficient Algorithms and Power Consumption Techniques in High Performance Computing
Author: Chalotra, Vivek; Bhasin, Anju; Gupta, Anik; Mahajan, Sanjay
Contributor: Mahajan, Sanjay (pacrepositoryorg)
Subject: Algorithms ; Energy Management ; Data Centers ; Power Management ; Algorithms ; Computation ; System Reliability ; Clusters ; Energy Consumption ; Microprocessors ; Power Consumption ; High Temperature ; Heat Generation
Description: High Performance Computing is an internet based computing which makes computer infrastructure and services available to the user for research purpose. However, an important issue which needs to be resolved before High Performance Computing Cluster with large pool of servers gain widespread acceptance is the design of data centers with less energy consumption. It is only possible when servers produce less heat and consume less power. Systems reliability decreases with increase in temperature due to heat generation caused by large power consumption as computing in high temperature is more error-prone. Here in this paper our approach is to design and implement a high performance cluster for high-end research in the High Energy Physics stream. This involves the usage of fine grained power gating technique in microprocessors and energy efficient algorithms that reduce the overall running cost of the data center.
Is part of: arXiv.org, Oct 30, 2012
Identifier: 2331-8422 (E-ISSN)
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### HEP Analysis Facility An Approach to Grid Computing

Chalotra, Vivek, Bhasin, Anju, Gupta, Anik, Sambyal, Sanjeev Singh
Cornell University
Available
Title: HEP Analysis Facility An Approach to Grid Computing
Author: Chalotra, Vivek; Bhasin, Anju; Gupta, Anik; Sambyal, Sanjeev Singh
Subject: Computer Science - Distributed, Parallel, And Cluster Computing
Description: 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. Comment: 4 pages, 4 figures, Indian Engineering Congress 2011, Bangalore, India
Identifier: 1210.7624 (ARXIV ID)
• Article
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### Energy Efficient Algorithms and Power Consumption Techniques in High Performance Computing

Chalotra, Vivek, Bhasin, Anju, Gupta, Anik, Sambyal, Sanjeev Singh, Mahajan, Sanjay
Cornell University
Available
Title: Energy Efficient Algorithms and Power Consumption Techniques in High Performance Computing
Author: Chalotra, Vivek; Bhasin, Anju; Gupta, Anik; Sambyal, Sanjeev Singh; Mahajan, Sanjay
Subject: Computer Science - Distributed, Parallel, And Cluster Computing
Description: High Performance Computing is an internet based computing which makes computer infrastructure and services available to the user for research purpose. However, an important issue which needs to be resolved before High Performance Computing Cluster with large pool of servers gain widespread acceptance is the design of data centers with less energy consumption. It is only possible when servers produce less heat and consume less power. Systems reliability decreases with increase in temperature due to heat generation caused by large power consumption as computing in high temperature is more error-prone. Here in this paper our approach is to design and implement a high performance cluster for high-end research in the High Energy Physics stream. This involves the usage of fine grained power gating technique in microprocessors and energy efficient algorithms that reduce the overall running cost of the data center. Comment: 5 pages, 4 figures & Presented at 8th JKSC,Srinagar, J&K, India
Identifier: 1210.7935 (ARXIV ID)
• Several versions