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- W1994271856 abstract "Currently users of high performance computers are overwhelmed with non scalable tasks such as job submission and monitoring, a problem that gets compounded when trying to run complex scientific applications requiring the coordination of several interrelated programs. Digital Sherpa (DS) is a grid tool set for coordinating the execution of multiple jobs on separate HPC resources; DS automates non-scalable tasks such as job submission and monitoring, and includes recovery features such as resubmission of failed jobs and program restarting. DS has been used to develop a Grid enabled version, MGAC-CGA, of the Modified Genetic Algorithms for Crystals and Clusters (MGAC), a parallel distributed application for the prediction of the structures of atomic clusters and organic crystals using Genetic Algorithms (GA). MGAC-CGA has been successfully tested on the NSF TeraGrid and on several clusters at the University of Utah." @default.
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- W1994271856 date "2008-01-29" @default.
- W1994271856 modified "2023-09-26" @default.
- W1994271856 title "Digital Sherpa" @default.
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- W1994271856 doi "https://doi.org/10.1145/1341811.1341851" @default.
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