Power Measurement Methods for Energy Efficient Applications
暂无分享,去创建一个
José Luis Lázaro | Alfredo Gardel Vicente | Ignacio Bravo Muñoz | F. Javier Toledo-Moreo | Pedro A. Revenga | Guilherme Calandrini
[1] Parthasarathy Ranganathan. Recipe for efficiency: principles of power-aware computing , 2010, CACM.
[2] Frank Bellosa,et al. The benefits of event: driven energy accounting in power-sensitive systems , 2000, ACM SIGOPS European Workshop.
[3] Hyesoon Kim,et al. An integrated GPU power and performance model , 2010, ISCA.
[4] Ž. Nakutis. Embedded Systems Power Consumption Measurement Methods Overview , 2009 .
[5] George Varghese,et al. A 22nm IA multi-CPU and GPU System-on-Chip , 2012, 2012 IEEE International Solid-State Circuits Conference.
[6] Dong Li,et al. PowerPack: Energy Profiling and Analysis of High-Performance Systems and Applications , 2010, IEEE Transactions on Parallel and Distributed Systems.
[7] Enrique S. Quintana-Ortí,et al. Optimization of power consumption in the iterative solution of sparse linear systems on graphics processors , 2011, Computer Science - Research and Development.
[8] H. S. Wolff,et al. iRun: Horizontal and Vertical Shape of a Region-Based Graph Compression , 2022, Sensors.
[9] Da Qi Ren,et al. Algorithm level power efficiency optimization for CPU-GPU processing element in data intensive SIMD/SPMD computing , 2011, J. Parallel Distributed Comput..
[10] Lizy Kurian John,et al. Run-time modeling and estimation of operating system power consumption , 2003, SIGMETRICS '03.
[11] Satoshi Matsuoka,et al. Bandwidth intensive 3-D FFT kernel for GPUs using CUDA , 2008, 2008 SC - International Conference for High Performance Computing, Networking, Storage and Analysis.
[12] Reiji Suda,et al. Accurate Measurements and Precise Modeling of Power Dissipation of CUDA Kernels toward Power Optimized High Performance CPU-GPU Computing , 2009, 2009 International Conference on Parallel and Distributed Computing, Applications and Technologies.
[13] Guibin Wang,et al. Power-Efficient Work Distribution Method for CPU-GPU Heterogeneous System , 2010, International Symposium on Parallel and Distributed Processing with Applications.
[14] Chandra Krintz,et al. Application-level prediction of battery dissipation , 2004, Proceedings of the 2004 International Symposium on Low Power Electronics and Design (IEEE Cat. No.04TH8758).
[15] W. Li,et al. In Situ Power Analysis of General Purpose Graphical Processing Units , 2011, 2011 19th International Euromicro Conference on Parallel, Distributed and Network-Based Processing.
[16] Wadood Abdul,et al. Power efficient scalable hybrid processor architecture , 2012, 2012 Second International Conference on Digital Information and Communication Technology and it's Applications (DICTAP).
[17] Allen D. Malony,et al. Parallel Performance Measurement of Heterogeneous Parallel Systems with GPUs , 2011, 2011 International Conference on Parallel Processing.
[18] Karthikeyan Sankaralingam,et al. Power Limitations and Dark Silicon Challenge the Future of Multicore , 2012, TOCS.
[19] Srihari Cadambi,et al. An Energy-Efficient Heterogeneous System for Embedded Learning and Classification , 2011, IEEE Embedded Systems Letters.
[20] Hsien-Hsin S. Lee,et al. Extending Amdahl's Law for Energy-Efficient Computing in the Many-Core Era , 2008, Computer.
[21] Stephen W. Poole,et al. Power measurement for high performance computing: State of the art , 2011, 2011 International Green Computing Conference and Workshops.
[22] Efraim Rotem,et al. Power-Management Architecture of the Intel Microarchitecture Code-Named Sandy Bridge , 2012, IEEE Micro.
[23] Hermann Härtig,et al. Measuring energy consumption for short code paths using RAPL , 2012, PERV.