Quality Tunable Approximate Adder for Low Energy Image Processing Applications

Jha, Chandan Kumar; Nandi, Ankita; Mekie, Joycee

doi:10.1109/icecs46596.2019.8965205

Cited by 9 publications

(1 citation statement)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Approximate circuits exploit the application's resilience towards the introduction of approximation to provide benefits in power, area, and delay [3]- [5]. The benefits of using approximate circuits have been shown on image and video processing applications in many earlier works using integer arithmetic computation [6]- [10]. It has also been shown in recent works that floating point arithmetic units benefit from the introduction of approximation [11]- [17].…”

Section: Introductionmentioning

confidence: 99%

FPCAM: Floating Point Configurable Approximate Multiplier for Error Resilient Applications

Jha

Walia

Kanojia

et al. 2021

2021 IEEE International Symposium on Circuits and Systems (ISCAS)

Self Cite

View full text Add to dashboard Cite

In this paper, we propose the design of a powerefficient floating point configurable approximate multiplier (FP-CAM) suitable for error resilient applications. FPCAM allows systematic approximation, and the amount of approximation can be configured at run-time, depending on the error-tolerance of the applications. We show that compared to the existing state of the art multipliers, FPCAM on average consumes 62% lesser power and has 69% less power delay product. FPCAM also has 66% less area as compared to state of the art approximate multipliers. We have analyzed FPCAM for three different multimedia applications and random inputs to show that we achieve similar output quality as compared to existing multipliers while benefiting in power, area, and power delay product.

show abstract