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	SCHEDULE: NOV 11-17, 2006 Digital Sherpa Session: Poster Reception Event Type: Poster Time: 5:15pm - 7:15pm Author(s): Ronald C. Price, Victor E. Bazterra, Wayne Bradford, Julio C. Facelli Location: Ballroom Corridor Abstract: Currently users of high performance computers are overwhelmed with non-scalable tasks such as job submission and monitoring. Many users are limited by the number of jobs they can submit to one High Performance Computing (HPC) resource at a time, which results in very long queue times. Digital Sherpa is a grid application for executing jobs on many separate HPC resources at a time, which can reduce total queue time. It automates non-scalable tasks such as job submission and monitoring, and includes recovery features such as resubmission of failed jobs. Digital Sherpa has been implemented for MGAC, a parallel distributed application for the prediction of atomic clusters and crystal structures using Genetic Algorithms. Success has been found using Digital Sherpa in a prototype of an HPC oriented combustion simulation application as well as on the TeraGrid. The high level goal is to allow Digital Sherpa to interoperate with any HPC application. Chair/Author Details: Ronald C. Price University of Utah Victor E. Bazterra University of Utah Wayne Bradford University of Utah Julio C. Facelli University of Utah
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