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A Novel Reduced-Precision Fault-Tolerant Floating-Point Multiplier
Author(s) -
Maryam Mohajer,
Mojtaba Valinataj
Publication year - 2017
Publication title -
international journal of modern education and computer science
Language(s) - English
Resource type - Journals
eISSN - 2075-017X
pISSN - 2075-0161
DOI - 10.5815/ijmecs.2017.06.03
Subject(s) - multiplier (economics) , computer science , redundancy (engineering) , error detection and correction , floating point , fault tolerance , computer hardware , algorithm , operating system , distributed computing , economics , macroeconomics
This paper presents a new fault-tolerant architecture for floating-point multipliers in which the fault-tolerance capability is achieved at the cost of output precision reduction. In this approach, to achieve the faulttolerant floating-point multiplier, the hardware cost of the primary design is reduced by output precision reduction. Then, the appropriate redundancy is utilized to provide error detection/correction in such a way that the overall required hardware becomes almost the same as the primary multiplier. The proposed multiplier can tolerate a variety of permanent and transient faults regarding the acceptable reduced precisions in many applications. The implementation results reveal that the 17-bit and 14-bit mantissas are enough to obtain a floating-point multiplier with error detection or error correction, respectively, instead of the 23-bit mantissa in the IEEE-754 standardbased multiplier with a few percent area and power overheads.

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