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  4. Pushing the Limits of Voltage Over-Scaling for Error-Resilient Applications - 2017
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Category: MTech VLSI Projects
By MTech Projects
MTech Projects
11.Oct
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Pushing the Limits of Voltage Over-Scaling for Error-Resilient Applications - 2017

PROJECT TITLE :

Pushing the Limits of Voltage Over-Scaling for Error-Resilient Applications - 2017

ABSTRACT:

Voltage scaling has been used as a prominent technique to enhance energy potency in digital systems, cutting down provide voltage effects in quadratic reduction in energy consumption of the system. Reducing provide voltage induces timing errors in the system that are corrected through further error detection and correction circuits. In this paper we are proposing voltage over-scaling primarily based approximate operators for applications which will tolerate errors. We tend to characterize the basic arithmetic operators using different operating triads (combination of supply voltage, body-biasing theme and clock frequency) to get models for approximate operators. Error-resilient applications will be mapped with the generated approximate operator models to realize optimum trade-off between energy efficiency and error margin. Primarily based on the dynamic speculation technique, best attainable operating triad is chosen at runtime based on the user definable error tolerance margin of the applying. In our experiments in 28nm FDSOI, we have a tendency to achieve maximum energy efficiency of eighty nine% for basic operators like eight-bit and sixteen-bit adders at the value of 20percent Bit Error Rate (ratio of faulty bits over total bits) by operating them in near-threshold regime.

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Previous article: Low Redundancy Matrix-Based codes for Adjacent Error Correction with Parity Sharing - 2017 Low Redundancy Matrix-Based codes for Adjacent Error Correction with Parity Sharing - 2017 Next article: Fault Space Transformation: A Generic Approach to Counter Differential Fault Analysis and Differential Fault Intensity Analysis on AES-like Block Ciphers - 2017 Fault Space Transformation: A Generic Approach to Counter Differential Fault Analysis and Differential Fault Intensity Analysis on AES-like Block Ciphers - 2017
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