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- W2078552573 abstract "Computational Grids lend themselves well to parameter sweep applications, in which independent tasks calculate results for points in a parameter space. However, it is possible for a parameter space to become so large as to pose prohibitive system requirements. In these cases, user-guided searchespromise to reduce overall computation time. In this paper, we address an interesting challenge posed by these user-directed searches: how should computing resources be allocated to application tasks as the overall computation is being guided by the user? We present a model for user-guided searches, and then propose a number of resource allocation strategies and evaluate them in simulation. We find that prioritizing the assignments of tasks to computing resources throughout the search can lead to substantial performance improvements." @default.
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- W2078552573 date "2003-11-01" @default.
- W2078552573 modified "2023-09-23" @default.
- W2078552573 title "Resource Allocation Strategies for Guided Parameter Space Searches" @default.
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- W2078552573 doi "https://doi.org/10.1177/10943420030174004" @default.
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