The unprecedented progress in computational technologies led to a substantial proliferation
of artificial intelligence applications, notably in the era of big data and IoT devices. In the …

Many applications show an inherent resiliency against inaccuracies and errors in their
computations. The design paradigm approximate computing exploits this fact by trading off …

State-of-the-art frameworks for generating approximate circuits automatically explore the
search space in an iterative process-often greedily. Synthesis and verification processes are …

The majority of existing frameworks for automated synthesis of Approximate Circuits (AxCs)
employ a search-based Design Space Exploration (DSE) approach. This includes an …

Design methodologies for approximation of medium to large-scale accelerators have largely
relied on search-based design space exploration. Due to the enormously sized solution …

Approximate logic synthesis aims at trading off a circuit's quality to improve a target metric.
Corresponding methods explore a search space by approximating circuit components and …

Automated frameworks for approximate accelerator synthesis employ an iterative search-
based approach to generate approximate instances of hardware. While offering distinct …

Approximate hardware designs are largely acquired via automated frameworks, most of
which rely on iterative search to find feasible approximate instances in the design space …

Approximate computing (AC) has acquired significant maturity in recent years as a
promising approach to obtain energy and area-efficient hardware. Automated approximate …

The design of energy-and area-efficient systems is important for modern technology. One
approach to increase these efficiencies is approximate computing. During the last years …