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 …

Approximate computing has recently emerged as a promising approach to energy-efficient
design of digital systems. Approximate computing relies on the ability of many systems and …

Many applications for signal processing, computer vision and machine learning show an
inherent tolerance to some computational error. This error resilience can be exploited to …

Often as the most important arithmetic modules in a processor, adders, multipliers, and
dividers determine the performance and energy efficiency of many computing tasks. The …

Approximate circuits have been considered for error-tolerant applications that can tolerate
some loss of accuracy with improved performance and energy efficiency. Multipliers are key …

Approximate computing is an emerging paradigm that, by relaxing the requirement for full
accuracy, offers benefits in terms of design area and power consumption. This paradigm is …

As an important arithmetic module, the adder plays a key role in determining the speed and
power consumption of a digital signal processing (DSP) system. The demands of high speed …

Many classes of applications, especially in the domains of signal and image processing,
computer graphics, computer vision, and machine learning, are inherently tolerant to …

We propose a novel approximate adder design to significantly reduce energy consumption
with a very moderate error rate. The significantly improved error rate and critical path delay …

Many applications produce acceptable results when their underlying computations are
executed in an approximate manner. For such applications, approximate circuits enable …