Multiplication is one of the essential functions in all digital systems. The evaluation of digital
system, have brought out new challenges in VLSI (Very Large Scale Integration) designing …

We propose an approximate tensor processing unit (APTPU), which includes two main
components:(1) approximate processing elements (APEs) consisting of a low-precision …

A technique for efficiently multiplying two signed numbers using limited area and high speed
is presented in this paper. This work uses both the Booth and Vedic multiplication sutra …

Low-power keywords recognition has been a focus of acoustic signal processing for several
decades. This work investigates the domain-specific speech recognition microprocessor …

This paper presents a ternary half adder and a 1-trit multiplier using carbon nanotube
transistors. The proposed circuits are designed using pass transistor logic and dynamic …

Approximate multipliers are widely used in error-tolerant applications to improve circuit
performance. For signed multiplication, previous approximate Booth multipliers usually have …

Approximate computing is an emerging technique that can be used for develo** power,
area and delay efficient circuits at the cost of loss of accuracy. This paper investigates the …

Multiplication is an essential biomedical signal processing function implemented in the
Digital Signal Processing (DSP) cores. To enhance the speed, area and energy efficiency of …

I nexact computing, is a modern approach for the development of low power and high-
performance digital circuits, which involves approximation stages to get the utmost accurate …

Approximate multiplication is an emerging circuit design technique for AI-based IoT devices
using deep neural networks which can reduce energy consumption with acceptable …