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Designing approximate arithmetic operators for FPGAs

Published on:

23 September 2023

Primary Category:

Hardware Architecture

Paper Authors:

Siva Satyendra Sahoo,

Salim Ullah,

Akash Kumar


Key Details

Proposes novel methodology AxOMaP to design FPGA approximate operators

Uses correlation analysis of hardware data to formulate optimization problems

Solves constrained programs to generate high-quality solutions

Augments evolutionary algorithms with mathematical programming

Reports improved optimization results over state-of-the-art

AI generated summary

Designing approximate arithmetic operators for FPGAs

This paper presents a new method to automatically design approximate arithmetic operators for FPGAs. It uses mathematical programming and statistical analysis of hardware characterization data to explore the design space and find optimized tradeoffs between accuracy, area, and performance.

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