HPC CLOUD APPLIED TO LATTICE OPTIMIZATION

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As Cloud services gain in popularity for enterprise use, vendors are now turning their focus towards providing cloud services suitable for scientific computing. Recently, Amazon Elastic Compute Cloud (EC2) introduced the new Cluster Compute Instances (CCI), a new instance type specifically designed for High Performance Computing (HPC) applications. At Berkeley Lab, the physicists at the Advanced Light Source (ALS) have been running Lattice Optimization on a local cluster, but the queue wait time and the flexibility to request compute resources when needed are not ideal for rapid development work. To explore alternatives, for the first time we investigate running the ... continued below

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Sun, Changchun; Nishimura, Hiroshi; James, Susan; Song, Kai; Muriki, Krishna & Qin, Yong March 18, 2011.

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As Cloud services gain in popularity for enterprise use, vendors are now turning their focus towards providing cloud services suitable for scientific computing. Recently, Amazon Elastic Compute Cloud (EC2) introduced the new Cluster Compute Instances (CCI), a new instance type specifically designed for High Performance Computing (HPC) applications. At Berkeley Lab, the physicists at the Advanced Light Source (ALS) have been running Lattice Optimization on a local cluster, but the queue wait time and the flexibility to request compute resources when needed are not ideal for rapid development work. To explore alternatives, for the first time we investigate running the Lattice Optimization application on Amazon's new CCI to demonstrate the feasibility and trade-offs of using public cloud services for science.

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  • 2011 Particle Accelerator Conference (PAC'11), New York, U.S.A, March 28 - April 1, 2011

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  • Report No.: LBNL-4640E
  • Grant Number: DE-AC02-05CH11231
  • Office of Scientific & Technical Information Report Number: 1022726
  • Archival Resource Key: ark:/67531/metadc830925

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Office of Scientific & Technical Information Technical Reports

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  • March 18, 2011

Added to The UNT Digital Library

  • May 19, 2016, 3:16 p.m.

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  • July 28, 2016, 1:06 p.m.

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Sun, Changchun; Nishimura, Hiroshi; James, Susan; Song, Kai; Muriki, Krishna & Qin, Yong. HPC CLOUD APPLIED TO LATTICE OPTIMIZATION, article, March 18, 2011; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc830925/: accessed October 22, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.