ApproxMap: On Task Allocation and Scheduling for Resilient Applications
Refereed conference paper presented and published in conference proceedings


Full Text

Times Cited
Web of Science8WOS source URL (as at 16/01/2021) Click here for the latest count

Other information
AbstractMany 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.
All Author(s) ListYi J, Zhang Q, Tian Y, Wang T, Liu WC, Sha EHM, Xu Q
Name of Conference21st Asia and South Pacific Design Automation Conference (ASP-DAC)
Start Date of Conference25/01/2016
End Date of Conference28/01/2016
Place of ConferenceMacao
Country/Region of ConferenceChina
Detailed descriptionorganized by IEEE/ACM,
Year2016
Month1
Day1
PublisherIEEE
Pages318 - 323
eISBN978-1-4673-9569-4
ISSN2153-6961
LanguagesEnglish-United Kingdom
Web of Science Subject CategoriesAutomation & Control Systems; Engineering; Engineering, Electrical & Electronic

Last updated on 2021-17-01 at 01:03