SPEComp: A New Benchmark Suite for Measuring Parallel Computer Performance
WOMPAT '01 Proceedings of the International Workshop on OpenMP Applications and Tools: OpenMP Shared Memory Parallel Programming
Scheduling Processor Voltage and Frequency in Server and Cluster Systems
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 11 - Volume 12
Analyzing the Energy-Time Trade-Off in High-Performance Computing Applications
IEEE Transactions on Parallel and Distributed Systems
The VampirTrace plugin counter interface: introduction and examples
Euro-Par 2010 Proceedings of the 2010 conference on Parallel processing
Overseer: low-level hardware monitoring and management for Java
Proceedings of the 9th International Conference on Principles and Practice of Programming in Java
Scout: a source-to-source transformator for SIMD-Optimizations
Euro-Par'11 Proceedings of the 2011 international conference on Parallel Processing - Volume 2
Flexible workload generation for HPC cluster efficiency benchmarking
Computer Science - Research and Development
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Energy efficiency optimizations of computational resources continue to be of growing importance for both classical datacenter workloads as well as high performance computing environments. New hardware generations introduce more and more energy efficiency features, resulting in a power consumption variation by at least a factor of four between idle and full load. Even the power consumption of different full-load workloads can vary substantially, clearly showing that there is energy saving potential apart from the traditional "race to idle". In this paper we present a configurable CPU frequency governor that adapts processor frequencies based on performance counter measurements instead of processor load. We use the SPEC OMP benchmark suite to determine the potential of our approach and present governor configurations for two up-to-date x86_64 microarchitectures. Moreover we show that substantial follow-up work is required to assess further efficiency optimization potential in this field.