DocumentCode :
147969
Title :
Estimating power consumption of multiple modular redundant designs in SRAM-based FPGAs for high dependable applications
Author :
Tarrillo, Jimmy ; Lima Kastensmidt, Fernanda
Author_Institution :
Inst. de Inf., Univ. Fed. do Rio Grande do Sul - UFRGS, Porto Alegre, Brazil
fYear :
2014
fDate :
Sept. 29 2014-Oct. 1 2014
Firstpage :
1
Lastpage :
7
Abstract :
Triple Modular redundancy technique is mostly used to mask transient faults in circuits operating in dependable systems. The generalization of this technique (known as nMR) allows the use of more than three redundant copies of the circuit to increase the reliability under multiple faults. The main drawback of nMR is its high power consumption, which usually implies in n times the power consumption of a single circuit. In this work, we show that such affirmation is far for being true in case of embedding the entire redundant system into a single SRAM-based FPGA. We estimate power consumption in some case-study circuits protected by nMR in SRAM-based FPGAs and compare to a proposed model that estimates power consumption penalty. Results demonstrate that nMR can be implemented with low power overhead in FPGAs and therefore it is a suitable technique for most applications synthesized into this type of programmable devices that need to cope with massive multiple faults.
Keywords :
SRAM chips; field programmable gate arrays; integrated circuit reliability; logic design; low-power electronics; SRAM-based FPGA; low power overhead; multiple modular redundant designs; power consumption penalty; programmable devices; transient faults; triple modular redundancy; Conferences; Field programmable gate arrays; Nuclear magnetic resonance; Power demand; Redundancy; Reliability engineering; FPGAs; Power consumption; nMR;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Timing Modeling, Optimization and Simulation (PATMOS), 2014 24th International Workshop on
Conference_Location :
Palma de Mallorca
Type :
conf
DOI :
10.1109/PATMOS.2014.6951903
Filename :
6951903
Link To Document :
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