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HotPower@SOSP 2013: Farmington, PA, USA
- Proceedings of the Workshop on Power-Aware Computing and Systems, HotPower 2013, Farmington, Pennsylvania, USA, November 3-6, 2013. ACM 2013, ISBN 978-1-4503-2458-8
Mobile systems
- Abhilash Jindal, Abhinav Pathak, Y. Charlie Hu, Samuel P. Midkiff:
On death, taxes, and sleep disorder bugs in smartphones. 1:1-1:5 - Mingyuan Xia, Wenbo He, Xue Liu, Jie Liu:
Why application errors drain battery easily?: a study of memory leaks in smartphone apps. 2:1-2:5 - Xiaomeng Chen, Abhilash Jindal, Y. Charlie Hu:
How much energy can we save from prefetching ads?: energy drain analysis of top 100 apps. 3:1-3:5
Datacenter & cloud
- Hiroshi Endo, Hiroyoshi Kodama, Hiroyuki Fukuda, Toshio Sugimoto, Takashi Horie, Masao Kondo:
Cooperative control architecture of fan-less servers and fresh-air cooling in container servers for low power operation. 4:1-4:5 - Ana Carolina Riekstin, Sean James, Aman Kansal, Jie Liu, Eric Peterson:
No more electrical infrastructure: towards fuel cell powered data centers. 5:1-5:5 - Rini T. Kaushik, Prasenjit Sarkar, Abdullah Gharaibeh:
Greening the compute cloud's pricing plans. 6:1-6:5 - Gangyong Jia, Xi Li, Jian Wan, Liang Shi, Chao Wang:
Coordinate page allocation and thread group for improving main memory power efficiency. 7:1-7:5
Beyond CPU
- Sangman Kim, Indrajit Roy, Vanish Talwar:
Evaluating integrated graphics processors for data center workloads. 8:1-8:5 - Chenguang Shen, Supriyo Chakraborty, Kasturi Rangan Raghavan, Haksoo Choi, Mani B. Srivastava:
Exploiting processor heterogeneity for energy efficient context inference on mobile phones. 9:1-9:5 - Xinxin Mei, Ling Sing Yung, Kaiyong Zhao, Xiaowen Chu:
A measurement study of GPU DVFS on energy conservation. 10:1-10:5
New ideas in power management
- Yifan Zhang, Xudong Wang, Xuanzhe Liu, Yunxin Liu, Li Zhuang, Feng Zhao:
Towards better CPU power management on multicore smartphones. 11:1-11:5 - Aaron Carroll, Gernot Heiser:
Mobile multicores: use them or waste them. 12:1-12:5 - Henry Hoffmann:
Racing and pacing to idle: an evaluation of heuristics for energy-aware resource allocation. 13:1-13:5
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