This paper proposes a novel approximate adder that exploits an error-reduced carry
prediction and constant truncation with error reduction schemes. The proposed adder …

Approximate computing (AC) offers benefits by reducing the requirement for full accuracy,
thereby reducing power consumption and area. The majority logic (ML) gate functions as the …

Approximate computing represents a powerful technique to reduce energy consumption and
computational delay in error-resilient applications, such as multimedia processing, machine …

This paper presents a novel dual sub-adder based approximate adder that splits a precise
adder into two to significantly reduce the latency. The proposed error recovery and reduction …

This paper presents a comprehensive design space exploration for boosting energy
efficiency of a fast Fourier transform (FFT) VLSI accelerator, exploiting several approximate …

Approximate computing is an efficient approach for reducing computational costs. This
method involves a trade-off between computational accuracy and the circuit's power …

The conjunction of approximate computing and emerging nanotechnology could lead to very
powerful and energy efficient integrated infrastructures in the near future. Research in this …

In recent years, the field of Deep Learning has seen many disruptive and impactful
advancements. Given the increasing complexity of deep neural networks, the need for …

Approximate computing is a promising approach that leads to a better compromise between
power and delay by trading an acceptable level of accuracy in inherently error resilient …

In this paper, two accuracy configurable adders capable of operating in approximate and
exact modes are proposed. In the adders, which include a block-based carry propagate and …