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MAPPER: Managing Application Performance via Parallel Efficiency Regulation
2022
ACM Transactions on Architecture and Code Optimization (TACO)
State-of-the-art systems, whether in servers or desktops, provide ample computational and storage resources to allow multiple simultaneously executing potentially parallel applications. However, performance tends to be unpredictable, being a function of algorithmic design, resource allocation choices, and hardware resource limitations. In this article, we introduce MAPPER, a manager of application performance via parallel efficiency regulation. MAPPER uses a privileged daemon to monitor (using
doi:10.1145/3501767
fatcat:vyzwezughjbd7fjrdv37ycj6g4