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Analyzing the Use of Taylor Series Approximation in Hardware and Embedded Software for Good Cost-Accuracy Tradeoffs

Gennaro Rodrigues 1 Ádria Barros de Oliveira 1 Fernanda Lima Kastensmidt Alberto Bosio 2
2 TEST - TEST
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : This work proposes a universal method to approximate computational functions. It employs Taylor series to compute approximations and provide results with high accuracy at low cost. A multitude of software and hardware implementation designs are presented and evaluated on a Zynq-7000 APSoC for their area cost, accuracy and time performance. Results show that embedded software approaches tend to provide excellent accuracy at a better cost/accuracy rate, and that hardware projects can save resources costs by slightly relaxing their accuracy requirements.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-03127660
Contributor : Isabelle Gouat <>
Submitted on : Monday, February 1, 2021 - 4:04:53 PM
Last modification on : Thursday, February 25, 2021 - 3:18:20 AM

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Gennaro Rodrigues, Ádria Barros de Oliveira, Fernanda Lima Kastensmidt, Alberto Bosio. Analyzing the Use of Taylor Series Approximation in Hardware and Embedded Software for Good Cost-Accuracy Tradeoffs. 14th International Symposium on Applied Reconfigurable Computing (ARC 2018), May 2018, Santorini, Greece. pp.647-658, ⟨10.1007/978-3-319-78890-6_52⟩. ⟨lirmm-03127660⟩

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