Approximate computing is an emerging strategy to improve the energy efficiency of many
error-tolerant applications. To design an approximate circuit automatically, many …

Approximate computing is an emerging paradigm for designing error-resilient applications. It
reduces circuit area, power, and delay at the cost of allowingintroducing errors. This paper …

Approximate computing is an emerging design technique for error-tolerant applications,
which may improve circuit area, delay, or power consumption by trading off a circuit's …

Approximate computing is an emerging computing paradigm to design energy-efficient
systems. Many greedy approximate logic synthesis (ALS) methods have been proposed to …

Approximate Computing is a design paradigm that trades off computational accuracy for
gains in non-functional aspects such as reduced area, increased computation speed, or …

We present a novel simulation-free Design Space Exploration (DSE)-based methodology for
approximating Look-Up Table (LUT)-based Field-Programmable Gate Array (FPGA) …

For very large Boolean circuits most approximate logic synthesis techniques successively
apply local approximation transformations affecting only a portion of the whole design …

Approximate computing emerges as an energy-efficient computing paradigm designed for
applications that can tolerate errors. Many iterative methods for approximate logic synthesis …

This paper proposes a novel quality verification (q-verification) technique for approximate
computing (AC) design, which explores the input patterns that violate the constraint of …

Probability propagation is an important task used in logic network analysis, which
propagates signal probabilities from its primary inputs to its primary outputs. It has many …