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Title: HPC CLOUD APPLIED TO LATTICE OPTIMIZATION

Abstract

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.

Authors:
; ; ; ; ;
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
Advanced Light Source Division; Information Technology Division
OSTI Identifier:
1022726
Report Number(s):
LBNL-4640E
TRN: US1104471
DOE Contract Number:  
DE-AC02-05CH11231
Resource Type:
Conference
Resource Relation:
Conference: 2011 Particle Accelerator Conference (PAC'11), New York, U.S.A, March 28 - April 1, 2011
Country of Publication:
United States
Language:
English
Subject:
42; 47; ACCELERATORS; ADVANCED LIGHT SOURCE; CLOUDS; FLEXIBILITY; OPTIMIZATION; PERFORMANCE; QUEUES

Citation Formats

Sun, Changchun, Nishimura, Hiroshi, James, Susan, Song, Kai, Muriki, Krishna, and Qin, Yong. HPC CLOUD APPLIED TO LATTICE OPTIMIZATION. United States: N. p., 2011. Web.
Sun, Changchun, Nishimura, Hiroshi, James, Susan, Song, Kai, Muriki, Krishna, & Qin, Yong. HPC CLOUD APPLIED TO LATTICE OPTIMIZATION. United States.
Sun, Changchun, Nishimura, Hiroshi, James, Susan, Song, Kai, Muriki, Krishna, and Qin, Yong. Fri . "HPC CLOUD APPLIED TO LATTICE OPTIMIZATION". United States. https://www.osti.gov/servlets/purl/1022726.
@article{osti_1022726,
title = {HPC CLOUD APPLIED TO LATTICE OPTIMIZATION},
author = {Sun, Changchun and Nishimura, Hiroshi and James, Susan and Song, Kai and Muriki, Krishna and Qin, Yong},
abstractNote = {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.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Mar 18 00:00:00 EDT 2011},
month = {Fri Mar 18 00:00:00 EDT 2011}
}

Conference:
Other availability
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