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SHAMan: A Versatile Auto-tuning Framework for Costly and Noisy HPC Systems

Robert S.,Zertal S., Couvée P.

Optimization and Learning（2022）

Cited 0|Views6
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Abstract
Most of the software of modern computer systems come with many configurable parameters that control the system’s behavior and its interaction with the underlying hardware.
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Key words
costly,auto-tuning
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