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Metrics for the Evaluation of Approximate Sequential Streaming Circuits | IEEE Conference Publication | IEEE Xplore

Metrics for the Evaluation of Approximate Sequential Streaming Circuits


Abstract:

The design of energy- and area-efficient systems is important for modern technology. One approach to increase these efficiencies is approximate computing. During the last...Show More

Abstract:

The design of energy- and area-efficient systems is important for modern technology. One approach to increase these efficiencies is approximate computing. During the last years, efficient approximations for combinational hardware components, e.g., adders or multipliers, have been proposed.We focus on quality metrics for the evaluation of approximations in sequential circuits with streaming in- and outputs. We propose the usage of sequence distance metrics for analysis of the sequential behavior after approximation and compare their performance to other metrics like mean errors and accumulated errors. We present case studies on some exemplary circuits. The experimental results show that our sequential metrics provide additional information to common mean errors and for stochastic applications yield the best guidance in selecting approximate sequential circuits.
Date of Conference: 01-03 September 2021
Date Added to IEEE Xplore: 11 October 2021
ISBN Information:
Conference Location: Palermo, Italy

References

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