With the increasing popularity of the Internet of Things and massive Machine Type
Communication technologies, the number of connected devices is rising. However, although …

In this article, we present an energy-efficient approximate CGRA (X-CGRA). Instead of
conventional exact arithmetic units, it employs configurable approximate adders and …

Deep neural networks (DNNs) are a type of artificial intelligence models that are inspired by
the structure and function of the human brain, designed to process and learn from large …

To explore the benefits of approximate computing, this article proposes an approximate
partial product generator for squarer (APPGS). Using APPGS, three designs of approximate …

Coarse Grained Reconfigurable Architectures (CGRAs) have proved to be viable platforms
for health monitoring applications. Targeting energy-efficiency, state-of-the-art (SoA) CGRAs …

Coarse-grained reconfigurable accelerators (CGRAs) are a promising accelerator design
choice that strikes a balance between performance and adaptability to different computing …

Voltage Overscaling (VOS) is one of the well-known techniques to increase the energy
efficiency of arithmetic units. Also, it can provide significant lifetime improvements, while still …

Approximate adders are some of the fundamental arithmetic operators that are being
employed in error-resilient applications, to achieve performance/energy/area gains. This …

Stochastic Computing (SC) offers a promising computing paradigm for low-power and cost-
effective applications, with the added advantage of high error tolerance. In parallel, Coarse …

The rapid evolution of compute-intensive programs from bio-signal to image-, and video-
processing has motivated moving toward Coarse Grained Reconfigurable Architectures …