Where does the power go in a computer system: Experimental analysis and implications
暂无分享,去创建一个
Hui Chen | Weisong Shi | Shinan Wang | Weisong Shi | Hui Chen | Shinan Wang
[1] Weisong Shi,et al. pTop : A Process-level Power Profiling Tool , 2009 .
[2] Vibhore Vardhan,et al. Power Consumption Breakdown on a Modern Laptop , 2004, PACS.
[3] Feng Zhao,et al. Fine-grained energy profiling for power-aware application design , 2008, PERV.
[4] Gernot Heiser,et al. Dynamic voltage and frequency scaling: the laws of diminishing returns , 2010 .
[5] Douglas Thain,et al. Scheduling Grid workloads on multicore clusters to minimize energy and maximize performance , 2009, 2009 10th IEEE/ACM International Conference on Grid Computing.
[6] Parthasarathy Ranganathan. Recipe for efficiency: principles of power-aware computing , 2010, CACM.
[7] Matthias S. Müller,et al. Characterizing the energy consumption of data transfers and arithmetic operations on x86−64 processors , 2010, International Conference on Green Computing.
[8] Luiz André Barroso,et al. The Case for Energy-Proportional Computing , 2007, Computer.
[9] José Duato,et al. A simple power-aware scheduling for multicore systems when running real-time applications , 2008, 2008 IEEE International Symposium on Parallel and Distributed Processing.
[10] Bruce Jacob,et al. Memory Systems: Cache, DRAM, Disk , 2007 .
[11] RaghunathanAnand,et al. Energy-optimizing source code transformations for operating system-driven embedded software , 2007 .
[12] Onur Mutlu,et al. Architecting phase change memory as a scalable dram alternative , 2009, ISCA '09.
[13] David J. Brown,et al. Toward energy-efficient computing , 2010, CACM.
[14] Margaret Martonosi,et al. Runtime Power Monitoring in High-End Processors: Methodology and Empirical Data , 2003, MICRO.
[15] Hyunjin Lee,et al. CloudCache: Expanding and shrinking private caches , 2011, 2011 IEEE 17th International Symposium on High Performance Computer Architecture.