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 …

As one of the most promising energy-efficient computing paradigms, approximate computing
has gained a lot of research attention in the past few years. This paper presents a survey of …

Given the stringent requirements of energy efficiency for Internet-of-Things edge devices,
approximate multipliers, as a basic component of many processors and accelerators, have …

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 …

Approximate computing can decrease the design complexity with an increase in
performance and power efficiency for error resilient applications. This brief deals with a new …

Approximate computing is an attractive design methodology to achieve low power, high
performance (low delay) and reduced circuit complexity by relaxing the requirement of …

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 …

In this paper, we propose four 4: 2 compressors, which have the flexibility of switching
between the exact and approximate operating modes. In the approximate mode, these dual …

Approximate computing has been considered to improve the accuracy-performance tradeoff
in error-tolerant applications. For many of these applications, multiplication is a key …

Improving the accuracy of a neural network (NN) usually requires using larger hardware that
consumes more energy. However, the error tolerance of NNs and their applications allow …