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 trades off computation quality with effort expended, and as rising
performance demands confront plateauing resource budgets, approximate computing has …

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 …

High performance approximate adders typically comprise of multiple smaller sub-adders,
carry prediction units and error correction units. In this paper, we present a low-latency …

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 …

Convolutional Neural Networks (CNN) have been successfully applied to autonomous
driving tasks, many in an end-to-end manner. Previous end-to-end steering control methods …

Approximate computing leverages the intrinsic resilience of applications to inexactness in
their computations, to achieve a desirable trade-off between efficiency (performance or …

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 …

Approximate circuit designs allow us to tradeoff computation quality (eg, accuracy) and
computational effort (eg, energy), by exploiting the inherent error-resilience of many …

We present a survey of approximate techniques and discuss concepts for building power-
/energy-efficient computing components reaching from approximate accelerators to …