DocumentCode :
157829
Title :
Scalably verifiable dynamic power management
Author :
Matthews, Opeoluwa ; Meng Zhang ; Sorin, Daniel J.
Author_Institution :
Dept. of Electr. & Comput. Eng., Duke Univ., Durham, NC, USA
fYear :
2014
fDate :
15-19 Feb. 2014
Firstpage :
579
Lastpage :
590
Abstract :
Dynamic power management (DPM) is critical to maximizing the performance of systems ranging from multicore processors to datacenters. However, one formidable challenge with DPM schemes is verifying that the DPM schemes are correct as the number of computational resources scales up. In this paper, we develop a DPM scheme such that it is scalably verifiable with fully automated formal tools. The key to the design is that the DPM scheme has fractal behavior; that is, it behaves the same at every scale. We show that the fractal design enables scalable formal verification and simulation shows that our scheme does not sacrifice much performance compared to an oracle DPM scheme that optimally allocates power to computational resources. We implement our scheme in a 2-socket 16-core x86 system and experimentally evaluate it.
Keywords :
fractals; microprocessor chips; multiprocessing systems; power aware computing; resource allocation; 2-socket 16-core x86 system; computational resources; datacenters; fractal behavior; fractal design; fully automated formal tools; multicore processors; oracle DPM scheme; scalably verifiable dynamic power management; Abstracts; Automata; Computational modeling; Computers; Fractals; Multicore processing; Program processors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
High Performance Computer Architecture (HPCA), 2014 IEEE 20th International Symposium on
Conference_Location :
Orlando, FL
Type :
conf
DOI :
10.1109/HPCA.2014.6835967
Filename :
6835967
Link To Document :
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