Peak power reduction and workload balancing by space-time multiplexing based demand-supply matching for 3D thousand-core microprocessor

Authors:
P. D. Sai Manoj;Kanwen Wang;Hao Yu
Affiliations:
Nanyang Technological University, Singapore;Nanyang Technological University, Singapore;Nanyang Technological University, Singapore
Venue:
Proceedings of the 50th Annual Design Automation Conference
Year:
2013

Citing 2
Cited 0

Allocating power ground vias in 3D ICs for simultaneous power and thermal integrity

ACM Transactions on Design Automation of Electronic Systems (TODAES)
Hardware-Software Codesign of an Embedded Multiple-Supply Power Management Unit for Multicore SoCs Using an Adaptive Global/Local Power Allocation and Processing Scheme

ACM Transactions on Design Automation of Electronic Systems (TODAES)

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Abstract

Space-time multiplexing is utilized for demand-supply matching between many-core microprocessors and power converters. Adaptive clustering is developed to classify cores by similar power level in space and similar power behavior in time. In each power management cycle, minimum number of power converters are allocated for space-time multiplexed matching, which is physically enabled by 3D through-silicon-vias. Moreover, demand-response based task adjustment is applied to reduce peak power and to balance workload. The proposed power management system is verified by system models with physical design parameters and benched power traces, which show 38.10% peak power reduction and 2.60x balanced workload.