Low power consumption, nowadays, has emerged to be an indispensable factor as there is
a growing demand for designing efficient computation-intensive systems and integrating …

Approximate computing is extensively used in fault-tolerant applications as an efficient
technique of energy saving. To meet the demand of dynamic trade-off between accuracy …

Approximate computing can reduce the design complication with an increase in
performance and power efficiency for error resilient applications. In most multimedia …

Energy-efficiency has become a major concern in designing computer systems. One of the
most promising solutions to enhance power and energy-efficiency in error tolerant …

Approximate computing is an efficient approach for error-tolerant applications because it can
trade off accuracy for power. Addition is a key fundamental function for these applications. In …

The current state-of-the-art approximate adders are mostly ASIC-based, ie, they focus solely
on gate and/or transistor level approximations (eg, through circuit simplification or …

As Moore's Law scaling tapers off, there is a growing emphasis on improving the energy-
efficiency of nanometer ICs through architectural techniques. Recently, approximate …

Approximate computing has recently introduced a new era of low-power and high-speed
circuit designs. Recent efforts in the domain of configurable-accuracy approximate designs …

Approximate computing is prominently used in software and hardware design to optimize
area, delay, and power consumption by exploiting the implicit tolerance for inaccuracy in …

Approximate computing introduces a new era of low-power and high-speed circuit designs.
Instead of strict accurate computation, relaxed requirements might increase performance …