This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. Authors: Minghao Yan, University of Wisconsin-Madison; Hongyi Wang, Carnegie Mellon University; Shivaram Venkataraman, myan@cs.wisc.edu. Table of Links Abstract & Introduction Motivation Opportunities Architecture Overview Proble Formulation: Two-Phase Tuning Modeling Workload Interference Experiments Conclusion & References A. Hardware Details B. Experimental Results C. Arithmetic Intensity D.
The overhead of performing CBO is also minimal. As shown in Figure 5, CBO only requires around 15 samples to find a near-optimal solution and the optimization procedure can be completed in a few minutes. In cases where a new model is deployed, only a few minutes of overhead are needed to find optimal configurations for the new model.
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