DocumentCode :
3500387
Title :
Verifying dynamic power management schemes using statistical model checking
Author :
Kumar, Jayanand Asok ; Vasudevan, Shobha
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
fYear :
2012
fDate :
Jan. 30 2012-Feb. 2 2012
Firstpage :
579
Lastpage :
584
Abstract :
Dynamic power management (DPM) schemes, such as power gating, are important runtime strategies for saving power in multicore architectures. Safety and efficiency are probabilistic properties which need to be verified in order to evaluate a DPM scheme. In this work, we employ statistical model checking to verify probabilistic properties on Register Transfer Level (RTL) descriptions of multicores. Statistical model checking performs a system-level verification of the DPM scheme by simulating several sample paths of the entire RTL design until the verification results lie within tolerable bounds of error. We illustrate our approach on the RTL of OpenSPARC T2, a publicly available industry-strength multicore processor. We verify the safety and efficiency properties of several power gating schemes by considering the power manageable blocks in the floating-point graphics unit.
Keywords :
computer architecture; floating point arithmetic; formal verification; integrated circuit design; microprocessor chips; multiprocessing systems; power aware computing; statistical analysis; OpenSPARC T2; RTL design; dynamic power management scheme verification; floating-point graphics unit; industry-strength multicore processor; multicore architectures; power gating schemes; power manageable blocks; power saving; probabilistic properties; register transfer level; runtime strategies; statistical model checking; system-level verification; Clocks; Computational modeling; Hardware; Mathematical model; Multicore processing; Probabilistic logic; Safety;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design Automation Conference (ASP-DAC), 2012 17th Asia and South Pacific
Conference_Location :
Sydney, NSW
ISSN :
2153-6961
Print_ISBN :
978-1-4673-0770-3
Type :
conf
DOI :
10.1109/ASPDAC.2012.6165023
Filename :
6165023
Link To Document :
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