A quantifiable approach to approximate computing

Li, Chaofan; Sengupta, Deepashree; Snigdha, Farhana Sharmin; Xu, Wenbin; Hu, Jiang; Sapatnekar, Sachin S.

doi:10.1145/3125501.3125511

Cited by 3 publications

(2 citation statements)

References 13 publications

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“…Sham states might be embedded into limited country machines in consecutive plans, requiring positive arrangements of contributions to be executed for the circuits to trademark effectively [9]. Scrambling the interconnection network in a change based approach will reason the circuit to best works of art with a precise key to design the interconnection network [10]. other work has stowed away pieces of the circuit in a configurable exploration work area (LUT) [11].…”

Section: Introductionmentioning

confidence: 99%

Cube Stripping Function and Logic Restoration Based Hardware Security

P¹,

Rangarajan²,

Selvi³

2022

ESP-JETA

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Guaranteeing security without compromising the exhibition and adaptability of a gadget is basically an exceptionally difficult endeavor for Researchers and Practitioners Approximate circuits (AxCs) tradeoff computational exactness against upgrades in equipment place, put off, or power consumption. IP center transporters who need to make such circuits need to persuade clients regarding the subsequent guess superior grade. As an answer, underwrite PUF based absolutely confirmation conveying AxCs. the vender makes a surmised IP center by and large with an authentication that demonstrates the estimation fine. The proof endorsement is packaged with the surmised IP center and shipped off to the client. We utilize the PUF reaction to free the element of the chip. The benefactor can authoritatively confirm the guess good of the IP center at a section of the standard computational expense for formal confirmation.

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Section: Introductionmentioning

confidence: 99%

Cube Stripping Function and Logic Restoration Based Hardware Security

P¹,

Rangarajan²,

Selvi³

2022

ESP-JETA

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“…After that, many other research projects were done, initially considering energy savings for digital systems, but with the evolution of techniques, other fields were involved such as software and data. AC could be classified in different subclasses like Approximate algorithms, Approximate data, and Approximate hardware, as defined in Li et al (2017).…”

Section: Introductionmentioning

confidence: 99%

A review on Approximate Computing applied to meteorological forecast models using software-based techniques

Sudo¹,

Fazenda²

2020

Anais Da XI Escola Regional De Alto Desempenho De São Paulo (ERAD-SP 2020)

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This study is part of research on Approximate Computing software-based techniques applied to meteorological forecast numerical models. Currently, a Systematic Review is ongoing, and it will serve as a reference to verify which algorithms have already been ported and which techniques are being used. This document focuses only on some approximated computing techniques, especially on mixed or reduced precision. Conclusions up to now show just a few research articles regarding the subject, so there are still many aspects to unveil.

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A Sub-Range Error Characterization based Selection Methodology for Approximate Arithmetic Units

Saadat

Javaid³

et al. 2020

2020 33rd International Conference on VLSI Design and 2020 19th International Conference on Embedded Systems (VLSID)

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A quantifiable approach to approximate computing

Cited by 3 publications

References 13 publications

Cube Stripping Function and Logic Restoration Based Hardware Security

Cube Stripping Function and Logic Restoration Based Hardware Security

A review on Approximate Computing applied to meteorological forecast models using software-based techniques

A Sub-Range Error Characterization based Selection Methodology for Approximate Arithmetic Units

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