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- W2270327064 abstract "Scheduling algorithms for heterogeneous platforms make scheduling decisions based on several metrics. One of these metrics is the amount of data to be transferred from and to the accelerator. However, the automated determination of this metric is not a simple task. A few schedulers and runtime systems solve this problem by using regression models, which are imprecise though. Our novel approach for the determination of data volumes removes this limitation and thus provides a solution to obtain exact information." @default.
- W2270327064 created "2016-06-24" @default.
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- W2270327064 date "2012-07-05" @default.
- W2270327064 modified "2023-09-27" @default.
- W2270327064 title "A Novel Hybrid Approach to Automatically Determine Kernel Interface Data Volumes" @default.
- W2270327064 hasPublicationYear "2012" @default.
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