The Inexact Newton method using the conjugate gradient has been widely used to solve
large-scale unconstrained optimization problems, such as the total variation-based image …

Approximate arithmetic circuits can be more effective if their accuracy can be controlled. In
this paper, we propose a carry selection based accuracy configurable approximate adder. In …

Due to the significance and broad utilization of adders in computing systems, the design of
low-power approximate adders (LPAAs) has received a significant amount of attention from …

This paper presents a new approximate adder design for error-resilient applications,
focusing on optimizing errors while maintaining good energy efficiency. The proposed …

Approximate computing is a technique for optimising algorithms while taking into account
both application quality of service and computational complexity. Video encoding is a …

Abstract Design space exploration of Low Power Approximate Adders (LPAAs) has become
significant as it successfully trades acceptable amounts of accuracy for the power, area, and …

As one of the most promising paradigms of integrated circuit design, the approximate circuit
has aroused widespread concern in the scientific community. It takes advantage of the …

In the past two decades approximation techniques have been applied at the circuit and
microarchitecture level for exploiting the error-resilient nature of many applications. The …

In this paper, we propose an accuracy-controllable approximate adder for FPGAs. The
proposed adder has a special input to dynamically change the accuracy in addition to two …

SRAM-based computing-in-memory (SRAM-CIM) is expected to solve the “Memory Wall”
problem. For the digital domain SRAM-CIM, full-precision digital logic has been utilized to …