Using the Greenup, Powerup, and Speedup metrics to evaluate software energy efficiency
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Qijun Gu | Meikang Qiu | Ziliang Zong | Sarah Abdulsalam | Meikang Qiu | Ziliang Zong | Qijun Gu | Sarah Abdulsalam
[1] Felix Wolf,et al. SCALASCA Parallel Performance Analyses of SPEC MPI2007 Applications , 2008, SIPEW.
[2] Gustavo Pinto,et al. Mining questions about software energy consumption , 2014, MSR 2014.
[3] Adel Noureddine. Towards a Better Understanding of the Energy Consumption of Software Systems , 2014 .
[4] Stefan M. Petters,et al. Race-to-halt energy saving strategies , 2014, J. Syst. Archit..
[5] Chiara Francalanci,et al. Measuring Application Software Energy Efficiency , 2012, IT Professional.
[6] Qijun Gu,et al. Program energy efficiency: The impact of language, compiler and implementation choices , 2014, International Green Computing Conference.
[7] Abram Hindle. Green mining: A methodology of relating software change to power consumption , 2012, 2012 9th IEEE Working Conference on Mining Software Repositories (MSR).
[8] Matthias S. Müller,et al. SPEC MPI2007—an application benchmark suite for parallel systems using MPI , 2010, ISC 2010.
[9] Meikang Qiu,et al. Energy consumption analysis of parallel sorting algorithms running on multicore systems , 2012, 2012 International Green Computing Conference (IGCC).
[10] Suzanne Rivoire,et al. Models and metrics for energy-efficient computer systems , 2008 .
[11] Shuaiwen Song,et al. Iso-Energy-Efficiency: An Approach to Power-Constrained Parallel Computation , 2011, 2011 IEEE International Parallel & Distributed Processing Symposium.
[12] Margaret Martonosi,et al. Wattch: a framework for architectural-level power analysis and optimizations , 2000, Proceedings of 27th International Symposium on Computer Architecture (IEEE Cat. No.RS00201).
[13] Michael M. Resch,et al. Tools for High Performance Computing - Proceedings of the 2nd International Workshop on Parallel Tools for High Performance Computing, July 2008, HLRS, Stuttgart , 2008, Parallel Tools Workshop.
[14] Mark Horowitz,et al. Energy dissipation in general purpose microprocessors , 1996, IEEE J. Solid State Circuits.
[15] Martin Schulz,et al. Bounding energy consumption in large-scale MPI programs , 2007, Proceedings of the 2007 ACM/IEEE Conference on Supercomputing (SC '07).
[16] Jung Ho Ahn,et al. McPAT: An integrated power, area, and timing modeling framework for multicore and manycore architectures , 2009, 2009 42nd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO).
[17] Rong Ge,et al. Power-Aware Speedup , 2007, 2007 IEEE International Parallel and Distributed Processing Symposium.
[18] Dong Li,et al. Power-aware MPI task aggregation prediction for high-end computing systems , 2010, 2010 IEEE International Symposium on Parallel & Distributed Processing (IPDPS).
[19] Richard W. Vuduc,et al. Algorithmic Time, Energy, and Power on Candidate HPC Compute Building Blocks , 2014, 2014 IEEE 28th International Parallel and Distributed Processing Symposium.
[20] Martin Burtscher,et al. Effects of source-code optimizations on GPU performance and energy consumption , 2015, GPGPU@PPoPP.
[21] Laxmikant V. Kalé,et al. Using an Adaptive HPC Runtime System to Reconfigure the Cache Hierarchy , 2014, SC14: International Conference for High Performance Computing, Networking, Storage and Analysis.