DocumentCode
271058
Title
Energy Reduction through Differential Reliability and Lightweight Checking
Author
Kadric, Edin ; Mahajan, Kunal ; DeHon, AndreÌ
Author_Institution
Dept. of Electr. & Syst. Eng., Univ. of Pennsylvania, Philadelphia, PA, USA
fYear
2014
fDate
11-13 May 2014
Firstpage
243
Lastpage
250
Abstract
As technology feature sizes shrink, aggressive voltage scaling is required to contain power density. However, this also increases the rate of transient upsets-potentially preventing us from scaling down voltage and possibly even requiring voltage increases to maintain reliability. Duplication with checking and triple-modular redundancy are traditional approaches to combat transient errors, but spending 2-3× the energy for redundant computation can diminish or reverse the benefits of voltage scaling. As an alternative, we explore the opportunity to use checking computations that are cheaper than the base computation they are guarding. We identify and evaluate the effectiveness of lightweight checks in a broad set of common FPGA tasks in scientific computing and signal and image processing. We find that the lightweight checks cost less than 14% of the base computation. Using an exponential model for the relationship between voltage and transient upset rate, we are able to show over 80% net energy reduction by aggressive voltage scaling without compromising reliability compared to operation at the nominal voltage.
Keywords
circuit reliability; field programmable gate arrays; redundancy; FPGA; aggressive voltage scaling; differential reliability; energy reduction; image processing; lightweight checking; net energy reduction; power density; scientific computing; signal processing; technology feature sizes; transient errors; transient upset rate; triple-modular redundancy; Circuit faults; Field programmable gate arrays; Integrated circuit reliability; Kernel; Transient analysis; Tunneling magnetoresistance; Check; Differential; Energy; FPGA; Lightweight; Power; Reliability;
fLanguage
English
Publisher
ieee
Conference_Titel
Field-Programmable Custom Computing Machines (FCCM), 2014 IEEE 22nd Annual International Symposium on
Conference_Location
Boston, MA
Print_ISBN
978-1-4799-5110-9
Type
conf
DOI
10.1109/FCCM.2014.78
Filename
6861640
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