Design of Approximate Subtractors and Dividers for Error Tolerant Image Processing Applications

Gorantla, Anusha; Deepa, P.

doi:10.1007/s10836-019-05837-5

Cited by 19 publications

(16 citation statements)

References 10 publications

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“…Looking at approximate circuit techniques, the research field has many and different proposals ( [Gupta et al 2013], [Yang et al 2013], [Almurib et al 2016], [Jiang et al 2015], [Muthulakshmi et al 2018], [Gorantla and Deepa 2019]), mostly focusing on approximate arithmetic such as adders and subtractors. Some studies present circuits with just one bit, showing their details such as error positioning, area usage, power, and delay.…”

Section: Approximate Circuitsmentioning

confidence: 99%

“…Approximate subtractors were designed in [Gorantla and Deepa 2019], using the circuit minimization technique (Karnaugh Maps) to reduce the number of logical components the circuit. Two approximate subtractor circuits were designed where the first one performs approximation only at the S output.…”

Section: Approximate Circuitsmentioning

confidence: 99%

“…The circuit of an approximate divider using subtractor circuits of the APSC type is presented in [Gorantla and Deepa 2019]. A 4-bit divider uses 16 subtractors, divided into 4 rows with 4 subtractors in each.…”

Section: Approximate Circuitsmentioning

confidence: 99%

“…There are several proposals for arithmetic circuits, mainly for approximate additions, subtractors, and multipliers [Jiang et al 2015, Gorantla and Deepa 2019, Kulkarni et al 2011. Most of such studies present circuits with only one bit, showing details such as error positioning, area use, power and delay, and results estimates based on an application, usually an image, where an approximate calculation is most used.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Accuracy and Physical Characterization of Approximate Arithmetic Circuits

Catelan¹,

Santos²,

Duenha³

2020

Anais Do XXI Simpósio Em Sistemas Computacionais De Alto Desempenho (SSCAD 2020)

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With the end of Dennard's scale, designers have been looking for new alternatives and approximate computing (AC) has managed to attract the attention of researchers, by offering techniques ranging from the application level to the circuit level. When applying approximate circuit techniques in hardware design, the program user may speed up the application while a designer may save area and power dissipation at the cost of less accuracy on the operations results. This paper discusses the compromise between accuracy versus physical efﬁciency by presenting a set of experiments and results of tailor-made approximate arithmetic circuits on Field-Programmable Gate Array (FPGA) platforms. Our results reveal that an approximate circuit with accuracy control could not be useful if the goal is to save circuit area or even power dissipation. Even for circuits that seem to have power efﬁciency, we should care about the size and prototyping platform where the hardware will be used.

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Section: Approximate Circuitsmentioning

confidence: 99%

Section: Approximate Circuitsmentioning

confidence: 99%

Section: Approximate Circuitsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Accuracy and Physical Characterization of Approximate Arithmetic Circuits

Catelan¹,

Santos²,

Duenha³

2020

Anais Do XXI Simpósio Em Sistemas Computacionais De Alto Desempenho (SSCAD 2020)

View full text Add to dashboard Cite

show abstract

“…As técnicas de circuito aproximado, no campo de pesquisa têm muitas e diferentes propostas ( [Gupta et al 2013], [Yang et al 2013], [Almurib et al 2016], [Jiang et al 2015], [Gorantla and Deepa 2019]), focando principalmente na aritmética aproximada, como somadores e subtratores. Alguns estudos apresentam circuitos com apenas um bit, mostrando seus detalhes como posicionamento de erro, uso daárea, potência e atraso.…”

Section: Computação Aproximadaunclassified

Exploração do espaço de projeto em arquiteturas heterogêneas cientes de dark silicon e utilizando computação aproximada

Catalan¹,

Santos²

2020

Anais Da III Escola Regional De Alto Desempenho Do Centro-Oest (ERAD-CO 2020)

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O problema de dark silicon surgiu com o incremento da corrente de fuga em consequência da miniaturização dos transistores. Pesquisas a fim de encontrar soluções para mitigar o dark silicon têm sido estudadas, muitas delas propondo a heterogeneidade de dispositivos de processamento. Contudo, o aumento da diversidade de dispositivos e dos objetivos na definição de sistemas heterogêneos e de alto desempenho, tornam o projeto de tais sistemas mais complexo, exigindo mecanismos automatizados de exploração de espaço de projeto cientes de dark silicon. Uma solução promissora é a utilização da computação aproximada, na qual, componentes de hardware e software utilizam a aproximação ao invés da precisão das operações, aceitando perda de qualidade de saída para melhorar a eficiência energética e obter ganhos de desempenho. Este trabalho objetiva obter soluções eficientes para o problema de exploração de projetos de processadores cientes de dark silicon, utilizando módulos de computação aproximada como elementos factíveis de um sistema computacional heterogêneo.

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Evaluation and characterization of approximate arithmetic circuits

Catelan

Santos

Duenha

2022

Concurrency and Computation

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With the end of Dennard's scale, processor designers have been looking for new technical alternatives so that approximate computing (AC) has managed to attract the attention of researchers by offering techniques ranging from the application level to the circuit level. When applying approximate circuits into hardware design, the program user may speed up the application. At the same time, a designer may save area and power dissipation at the cost of less accuracy on the results of operations. This article discusses the compromise between controlled accuracy versus physical efficiency by evaluating a set of arithmetic circuits designs. The article also presents new mixed organization approximate designs. To evaluate the approximate design benefits, we performed a comprehensive set of experiments from tailor-made approximate arithmetic circuits on field-programmable gate array and application specific integrated circuits technologies. Our results reveal that our proposed mixed approximate designs have promising results on error rates, area usage, and power dissipation compared to the related work. Another interesting result is that one should care about the prototyping platform where the approximate hardware will be synthesized. Tailor-made approximate cells may take advantage on intrinsic design details than standard cells or even general prototyping platforms.

show abstract

Design of Approximate Subtractors and Dividers for Error Tolerant Image Processing Applications

Cited by 19 publications

References 10 publications

Accuracy and Physical Characterization of Approximate Arithmetic Circuits

Accuracy and Physical Characterization of Approximate Arithmetic Circuits

Exploração do espaço de projeto em arquiteturas heterogêneas cientes de dark silicon e utilizando computação aproximada

Evaluation and characterization of approximate arithmetic circuits

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