Enhance the Segmentation Principle in Approximate Computing

Dalloo, Ayad

doi:10.1109/iccsdet.2018.8821112

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Cited by 3 publications

References 10 publications

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Low-Power and Low-Latency Hardware Implementation of Approximate Hyperbolic and Exponential Functions for Embedded System Applications

Dalloo,

Humaidi,

Mhdawi

et al. 2024

IEEE Access

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Low-Power and Low-Latency Hardware Implementation of Approximate Hyperbolic and Exponential Functions for Embedded System Applications

Dalloo,

Humaidi,

Mhdawi

et al. 2024

IEEE Access

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Verification of Approximate Hardware Designs with ChiselVerify

Damsgaard,

Ometov,

Nurmi

2023

2023 IEEE Nordic Circuits and Systems Conference (NorCAS)

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Approximation Opportunities in Edge Computing Hardware: A Systematic Literature Review

Damsgaard¹,

Ometov²,

Nurmi

2023

ACM Comput. Surv.

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With the increasing popularity of the Internet of Things and massive Machine Type Communication technologies, the number of connected devices is rising. However, while enabling valuable effects to our lives, bandwidth and latency constraints challenge Cloud processing of their associated data amounts. A promising solution to these challenges is the combination of Edge and approximate computing techniques that allows for data processing nearer to the user. This paper aims to survey the potential benefits of these paradigms’ intersection. We provide a state-of-the-art review of circuit-level and architecture-level hardware techniques and popular applications. We also outline essential future research directions.

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Enhance the Segmentation Principle in Approximate Computing

Cited by 3 publications

References 10 publications

Low-Power and Low-Latency Hardware Implementation of Approximate Hyperbolic and Exponential Functions for Embedded System Applications

Low-Power and Low-Latency Hardware Implementation of Approximate Hyperbolic and Exponential Functions for Embedded System Applications

Verification of Approximate Hardware Designs with ChiselVerify

Approximation Opportunities in Edge Computing Hardware: A Systematic Literature Review

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