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Approximate Computing (AxC) has been introduced as a potential candidate to achieve better computational performances by relaxing non-critical functional system specifications. In this article, we propose a systematic and high-abstraction-level approach allowing the automatic generation of near Pareto-optimal approximate configurations for a Discrete Cosine Transform (DCT) hardware accelerator. We obtain the approximate variants by using approximate operations, having configurable approximation degree, rather than full-precise ones. We use a genetic searching algorithm to find the appropriate tuning of the approximation degree, leading to optimal tradeoffs between accuracy and gains. Finally, to evaluate the actual HW gains, we synthesize non-dominated approximate DCT variants for two different target technologies, namely, Field Programmable Gate Arrays (FPGAs) and Application Specific Integrated Circuits (ASICs). Experimental results show that the proposed approach allows performing a meaningful exploration of the design space to find the best tradeoffs in a reasonable time. Indeed, compared to the state-of-the-art work on approximate DCT, the proposed approach allows an 18% average energy improvement while providing at the same time image quality improvement.<\/jats:p>","DOI":"10.1145\/3501772","type":"journal-article","created":{"date-parts":[[2022,1,29]],"date-time":"2022-01-29T13:39:17Z","timestamp":1643463557000},"page":"1-25","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":25,"title":["A Genetic-algorithm-based Approach to the Design of DCT Hardware Accelerators"],"prefix":"10.1145","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1417-6328","authenticated-orcid":false,"given":"Mario","family":"Barbareschi","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering and Information Technologies, University of Naples Federico II, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2007-3744","authenticated-orcid":false,"given":"Salvatore","family":"Barone","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Information Technologies, University of Naples Federico II, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6116-7339","authenticated-orcid":false,"given":"Alberto","family":"Bosio","sequence":"additional","affiliation":[{"name":"Univ Lyon, ECL, INSA Lyon, CNRS, UCBL, CPE Lyon, INL, UMR5270, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8849-4994","authenticated-orcid":false,"given":"Jie","family":"Han","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of Alberta, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1484-5162","authenticated-orcid":false,"given":"Marcello","family":"Traiola","sequence":"additional","affiliation":[{"name":"University of Rennes, Inria, CNRS, IRISA, UMR 6074, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,1,29]]},"reference":[{"key":"e_1_3_1_2_2","unstructured":"Retrieved from https:\/\/sipi.usc.edu\/database\/ 1977 SIPI Image Database"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.5555\/2971808.2971962"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2017.2731770"},{"issue":"11","key":"e_1_3_1_5_2","first-page":"1095","article-title":"A fast DCT-SQ scheme for images","volume":"71","author":"Arai Yukihiro","year":"1988","unstructured":"Yukihiro Arai, Takeshi Agui, and Masayuki Nakajima. 1988. 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