BanditWare uses a decaying epsilon-greedy contextual bandit with linear runtime models to recommend hardware for scientific workflows, learning online with far fewer samples than offline ML approaches.
Intelligent resource prediction for hpc and scientific workflows,
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BanditWare: A Contextual Bandit-based Framework for Hardware Prediction
BanditWare uses a decaying epsilon-greedy contextual bandit with linear runtime models to recommend hardware for scientific workflows, learning online with far fewer samples than offline ML approaches.