1. DeBAM: Decoder-Based Approximate Multiplier for Low Power Applications
- Author
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Syed Ershad Ahmed, Mythreye Venkatesan, Suresh Nambi, U. Anil Kumar, and Kavya Radhakrishnan
- Subjects
General Computer Science ,Computer engineering ,Hardware complexity ,Control and Systems Engineering ,Computer science ,Power consumption ,Data path ,Word error rate ,Multiplier (economics) ,Sharpening ,Computing systems ,Data compression - Abstract
Approximate Computing is a promising method for designing power-efficient computing systems. Many image and compression algorithms are inherently error-tolerant and can allow errors up to a specific limit. In such algorithms, savings in power can be achieved by approximating the data path units, such as a multiplier. This paper presents a novel decoder logic-based multiplier design with the intent to reduce the partial products generated. Thus, leading to a reduction in the hardware complexity and power consumption while maintaining a low error rate. Our proposed design in an 8-bit format achieves 40.96% and 22.30% power reduction compared to the accurate and approximate multipliers. Comprehensive simulations are carried out on image sharpening and compression algorithms to prove that the proposed design obtains a better quality-effort trade-off than existing multipliers.
- Published
- 2021
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