COMPASS formalizes HPC configuration questions as ML tasks on traces, quantifies recommendation trustworthiness, and delivers 65.93% lower average job turnaround time plus 80.93% lower node usage versus prior methods in simulator tests.
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Contract Scoring applies adaptive nearest neighbors on ensemble trees to grade enterprise contracts by historical peers, yielding letter grades and reported revenue gains at Databricks.
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COMPASS: A Unified Decision-Intelligence System for Navigating Performance Trade-off in HPC
COMPASS formalizes HPC configuration questions as ML tasks on traces, quantifies recommendation trustworthiness, and delivers 65.93% lower average job turnaround time plus 80.93% lower node usage versus prior methods in simulator tests.
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Algorithmic Contract Design at Scale: Adaptive Peer Comparison for Enterprise Pricing
Contract Scoring applies adaptive nearest neighbors on ensemble trees to grade enterprise contracts by historical peers, yielding letter grades and reported revenue gains at Databricks.