Approximate computing has emerged as a new paradigm for high-performance and energy-
efficient design of circuits and systems. For the many approximate arithmetic circuits …

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 …

Approximate multipliers are used in error-tolerant applications, sacrificing the accuracy of
results to minimize power or delay. In this paper we investigate approximate multipliers …

Libraries of approximate circuits are composed of fully characterized digital circuits that can
be used as building blocks of energy-efficient implementations of hardware accelerators …

Approximate computing provides an emerging approach to design high performance and
low power arithmetic circuits. The logarithmic multiplier (LM) converts multiplication into …

Deep Learning, and in particular, Deep Neural Network (DNN) is nowadays widely used in
many scenarios, including safety-critical applications such as autonomous driving. In this …

Approximate circuits are digital circuits that are intentionally designed in such a way that the
specification is violated in terms of functionality in order to obtain some improvements in …

Approximate computing studies the quality-efficiency trade-off to attain a best-efficiency (eg,
area, latency, and power) design for a given quality constraint and vice versa. Recently, self …

A new approximate unsigned multiplier architecture has been proposed in this paper, which
aims to minimize the area utilized and power consumed while maintaining high accuracy …

Approximate computing (AxC) is increasingly emerging as a new design paradigm to
produce more efficient computation systems by judiciously reducing the computation quality …