01-08-2014 | Special Issue Paper
Automatic detection of power bottlenecks in parallel scientific applications
Published in: SICS Software-Intensive Cyber-Physical Systems | Issue 3-4/2014
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Abstract
pmlib
framework for power-performance analysis that permits a rapid and automatic detection of power sinks during the execution of concurrent scientific workloads. The extension is shaped in the form of a multithreaded Python module that offers high reliability and flexibility, rendering an overall inspection process that introduces low overhead. Additionally, we investigate the advantages and drawbacks of the RAPL power model, introduced in the Intel Xeon “Sandy-Bridge” CPU, versus a data acquisition system from National Instruments.