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- W4255998323 abstract "We present a fully automated approach to project the relative performance of an OpenCL program over different GPUs. Performance projections can be made within a small amount of time, and the projection overhead stays relatively constant with the input data size. As a result, the technique can help runtime tools make dynamic decisions about which GPU would run faster for a given kernel. Usage cases of this technique include scheduling or migrating GPU workloads over a heterogeneous cluster with different types of GPUs." @default.
- W4255998323 created "2022-05-12" @default.
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- W4255998323 date "2013-12-01" @default.
- W4255998323 modified "2023-10-06" @default.
- W4255998323 title "Online Performance Projection for Clusters with Heterogeneous GPUs" @default.
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- W4255998323 doi "https://doi.org/10.1109/icpads.2013.48" @default.
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