DESIGN OF POWER AND AREA OF EFFICIENT APPROXIMATE MULTIPLIERS

  • Unique Paper ID: 157533
  • Volume: 9
  • Issue: 7
  • PageNo: 474-478
  • Abstract:
  • Energy consumption has become one of the most critical design challenges in integrated circuit design. Arithmetic computing circuits, in particular array-based arithmetic computing circuits such as adders, multipliers, squarer’s, have been widely used. Hence, reduction of energy consumption of array- based arithmetic computing circuits is an important design consideration. To this end, designing low-power arithmetic circuits by intelligently trading off processing precision for energy saving in error-resilient applications such as DSP, machine learning and neuromorphic circuits provides a promising solution to the energy dissipation challenge of such systems. To solve the chip’s energy problem, especially for those applications with inherent error resilience, array-based approximate Multipliers circuits (AAMC) circuits that produce errors while having improved energy efficiency have been proposed.

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Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{157533,
        author = {S. JAYA SIMHA KUMAR and P. SANDHYA RANI },
        title = {DESIGN OF POWER AND AREA OF EFFICIENT APPROXIMATE MULTIPLIERS},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {7},
        pages = {474-478},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=157533},
        abstract = {Energy consumption has become one of the most critical design challenges in integrated circuit design. Arithmetic computing circuits, in particular array-based arithmetic computing circuits such as adders, multipliers, squarer’s, have been widely used. Hence, reduction of energy consumption of array- based arithmetic computing circuits is an important design consideration. To this end, designing low-power arithmetic circuits by intelligently trading off processing precision for energy saving in error-resilient applications such as DSP, machine learning and neuromorphic circuits provides a promising solution to the energy dissipation challenge of such systems.
To solve the chip’s energy problem, especially for those applications with inherent error resilience, array-based approximate Multipliers circuits (AAMC) circuits that produce errors while having improved energy efficiency have been proposed. },
        keywords = {Introduction, Multipliers, Previous works, Proposed multiplier designs, Experimental results, Conclusion},
        month = {},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 9
  • Issue: 7
  • PageNo: 474-478

DESIGN OF POWER AND AREA OF EFFICIENT APPROXIMATE MULTIPLIERS

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