Collaborative Research Center 912: HAEC − Highly Adaptive Energy-Efficient Computing 22.06.2017 Power Measurement Techniques for Energy-Efficient Computing: Reconciling Scalability, Resolution, and Accuracy Thomas Ilsche, Robert Schöne, Joseph Schuchart, Daniel Hackenberg, Marc Simon, Yiannis Georgiou, Wolfgang E. Nagel: Center for Information Services and High Performance Computing (ZIH), TU Dresden EnaHPC 2017 – June 22, 2017 – Frankfurt
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Collaborative Research Center 912: HAEC − Highly Adaptive Energy-Efficient Computing22.06.2017
Power Measurement Techniques for Energy-Efficient
Computing: Reconciling Scalability, Resolution, and Accuracy
Thomas Ilsche, Robert Schöne, Joseph Schuchart, Daniel Hackenberg, Marc Simon,
Yiannis Georgiou, Wolfgang E. Nagel:Center for Information Services and High Performance Computing (ZIH), TU Dresden
EnaHPC 2017 – June 22, 2017 – Frankfurt
Collaborative Research Center 912: HAEC − Highly Adaptive Energy-Efficient Computing
Thomas Ilsche
Why Measure Energy / Power?2
Energy monitoring, accounting
Power capping
Energy efficiency analysis/optimizations
Imagine performance optimization with a clock that only updates once
a second and has a 10% error
Collaborative Research Center 912: HAEC − Highly Adaptive Energy-Efficient Computing
Thomas Ilsche
Key Criteria for Energy Measurements3
1. Temporal granularity Analyze short program phases