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.
Article Details
Unique Paper ID: 157533
Publication Volume & Issue: Volume 9, Issue 7
Page(s): 474 - 478
Article Preview & Download
Share This Article
Join our RMS
Conference Alert
NCSEM 2024
National Conference on Sustainable Engineering and Management - 2024