Journal
IEEE TRANSACTIONS ON COMPUTERS
Volume 60, Issue 6, Pages 841-851Publisher
IEEE COMPUTER SOC
DOI: 10.1109/TC.2011.45
Keywords
Thermal; power; characterization; sensors; tracking; hot spot; infrared imaging
Funding
- DoD ARO [W911NF-09-1-0320]
- US National Science Foundation (NSF) [0952866]
- Division of Computing and Communication Foundations
- Direct For Computer & Info Scie & Enginr [0952866] Funding Source: National Science Foundation
Ask authors/readers for more resources
Hot spots are a major concern in high-end processors as they constrain performance and limit the lifetime of semiconductor chips. Using embedded thermal sensors, dynamic thermal management systems track the hot spots during runtime and adjust the performance and the cooling system of the processor when necessary. In many-core processors, the locations of hot spots vary spatially and temporally depending on the configuration of active cores and the workloads running on the cores. Our work includes both theoretical advances in sensor allocation techniques and experimental advances for thermal imaging of real processors. We propose a hard sensor allocation algorithm to determine the sensor locations where hot spots can be tracked accurately given a budget number of sensors. We also propose soft sensor computation techniques to alleviate design constraints on sensor locations and to further improve the resolution of hot spot tracking. The proposed soft sensing technique combines the measurements of the hard sensors in an optimal way to estimate the temperature at any desired location. We use infrared imaging methods to characterize the thermal behavior of a real dual-core processor during operation. We execute large number of workload configurations on the processor and track the locations and temperatures of hot spots during runtime. The thermal characterization data are then used as the input to our sensor allocation techniques. We demonstrate that our sensor allocation techniques improve significantly upon the previous results in the literature and provide accurate tracking of hot spots.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available