@inproceedings{24a5d2e37c224ffebfeea6da2a6da192,
title = "ApproxMap: On task allocation and scheduling for resilient applications",
abstract = "Many emerging applications are inherently error-resilient and hence do not require exact computation. In this paper, we consider the task allocation and scheduling problem for mapping such applications to voltage-scalable multiprocessor systems. The proposed solution, namely ApproxMap, judiciously determines the mapping and execution sequence of resilient tasks to minimize the energy consumption of the application while meeting their target quality requirements and timing constraints. To be specific, ApproxMap generates energy-efficient yet flexible task schedule at design-time, and conducts lightweight online adjustment according to runtime dynamics for further energy-efficiency improvement. Experimental results on various task graphs demonstrate the efficacy of ApproxMap.",
author = "Juan Yi and Qian Zhang and Ye Tian and Ting Wang and Weichen Liu and Sha, \{Edwin H.M.\} and Qiang Xu",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 21st Asia and South Pacific Design Automation Conference, ASP-DAC 2016 ; Conference date: 25-01-2016 Through 28-01-2016",
year = "2016",
month = mar,
day = "7",
doi = "10.1109/ASPDAC.2016.7428031",
language = "英语",
series = "Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "318--323",
booktitle = "2016 21st Asia and South Pacific Design Automation Conference, ASP-DAC 2016",
address = "美国",
}
