Special session: how much quality is enough quality? A case for acceptability in approximate designs

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorFelzmann, Isaías Bittencourt-
Autor(es): dc.creatorFabrício Filho, João-
Autor(es): dc.creatorOliveira, Juliane Regina de-
Autor(es): dc.creatorWanner, Lucas Francisco-
Data de aceite: dc.date.accessioned2025-08-29T13:08:11Z-
Data de disponibilização: dc.date.available2025-08-29T13:08:11Z-
Data de envio: dc.date.issued2022-09-27-
Data de envio: dc.date.issued4999-
Data de envio: dc.date.issued2022-09-27-
Data de envio: dc.date.issued2021-10-23-
Fonte completa do material: dc.identifierhttp://repositorio.utfpr.edu.br/jspui/handle/1/29755-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1107970-
Descrição: dc.descriptionApproximate systems are designed to offer improved efficiency with potentially reduced quality of results. Quality of output in these systems is typically quantified in comparison to a precise result using metrics such as RMSE, MAE, PSNR, or application-specific metrics such as structural similarity of images (SSIM). Furthermore, systems are typically designed to maximize efficiency for a given minimum quality requirement. It is often difficult to determine what this quality requirement should be for an application, let alone a system. Thus, a fixed quality requirement may be overly conservative, and leave optimization opportunities on the table. In this work, we present a different approach to evaluate approximate systems based on the usefulness of results instead of quality. Our method qualitatively determines the acceptability of approximate results within different processing pipelines. To demonstrate the method, we implement three image and signal processing applications featuring scenarios of image classification, image recognition, and frequency estimation. Our results show that designing approximate systems to guarantee acceptability can produce up to 20% more valid results than the conservative quality thresholds commonly adopted in the literature, allowing for higher error rates and, consequently, lower energy cost.-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Publicador: dc.publisherCampo Mourao-
Publicador: dc.publisherEstados unidos-
Relação: dc.relationInternational Conference on Computer Design-
Relação: dc.relationhttps://ieeexplore.ieee.org/document/9643638-
Direitos: dc.rightsembargoedAccess-
Direitos: dc.rightshttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9643822-
Palavras-chave: dc.subjectTeoria da aproximação-
Palavras-chave: dc.subjectImagens digitais-
Palavras-chave: dc.subjectProcessamento de sinais-
Palavras-chave: dc.subjectEnergia - Consumo-
Palavras-chave: dc.subjectApproximation theory-
Palavras-chave: dc.subjectDigital images-
Palavras-chave: dc.subjectSignal processing-
Palavras-chave: dc.subjectEnergy consumption-
Palavras-chave: dc.subjectCNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO-
Título: dc.titleSpecial session: how much quality is enough quality? A case for acceptability in approximate designs-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositorio Institucional da UTFPR - RIUT

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