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DOE OSTI · 1022726

HPC CLOUD APPLIED TO LATTICE OPTIMIZATION

Sun, Changchun·Nishimura, Hiroshi·James, Susan·Song, Kai·Muriki, Krishna·Qin, Yong
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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.

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Sun, Changchun, Nishimura, Hiroshi, James, Susan, Song, Kai, Muriki, Krishna, Qin, Yong. 2011-03-18. HPC CLOUD APPLIED TO LATTICE OPTIMIZATION. https://www.osti.gov/biblio/1022726

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