DocumentCode :
3588015
Title :
Scalable hardware-based power management for many-core systems
Author :
Bin Liu ; Bohnenstiehl, Brent ; Baas, Bevan M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of California, Davis, Davis, CA, USA
fYear :
2014
Firstpage :
1834
Lastpage :
1838
Abstract :
Due to high levels integration, the design of many-core systems becomes increasingly challenging. Runtime dynamic voltage and frequency scaling (DVFS) is an effective method in managing the power based on performance requirements in the presence of workload variations. This paper presents an on-line scalable hardware-based dynamic voltage frequency selection algorithm, by using both FIFO occupancy and stall information between processors. To demonstrate the proposed solution, two real application benchmarks are tested on a many-core globally asynchronous locally synchronous (GALS) platform. The experimental results show that the proposed approach can achieve near-optimal power saving under performance constraints.
Keywords :
multiprocessing systems; power aware computing; DVFS; FIFO occupancy; dynamic voltage-and-frequency scaling; many-core GALS platform; many-core globally asynchronous locally synchronous platform; on-line scalable hardware-based dynamic voltage frequency selection algorithm; scalable hardware-based power management; workload variations; Benchmark testing; Engines; Heuristic algorithms; Power grids; Program processors; Threshold voltage; Voltage control; Dynamic voltage and frequency scaling (DVFS); globally asynchronous locally synchronous (GALS); many-core processors; multi-processor systems-on-chip (MPSoCs);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2014 48th Asilomar Conference on
Print_ISBN :
978-1-4799-8295-0
Type :
conf
DOI :
10.1109/ACSSC.2014.7094785
Filename :
7094785
Link To Document :
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