Savant: Automatic Parallelization of a Scheduling Heuristic With Machine Learning

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Provided by: University of Luton
Topic: Data Centers
Format: PDF
In this paper, the authors investigate the automatic parallelization of a heuristic for an NP-complete problem, with machine learning. The objective is to automatically design a new concurrent algorithm that finds solutions of comparable quality to the original heuristic. Their approach, called Savant, is inspired from the Savant syndrome. Its concurrency model is based on MapReduce. The approach is evaluated with the well-known Min-Min heuristic. Simulation results on two problem sizes are promising; the produced algorithm is able to find solutions of comparable quality.
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