In recent years, the limits of the multicore approach emerged in the so-called “dark silicon”
issue and diminishing returns of an ever-increasing core count. Hardware manufacturers …

As general-purpose processors have hit the power wall and chip fabrication cost escalates
alarmingly, coarse-grained reconfigurable architectures (CGRAs) are attracting increasing …

Cyber-Physical Systems are experiencing a paradigm shift in which processing has been
relocated to the distributed sensing layer and is no longer performed in a centralized …

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

Coarse-Grained Reconfigurable Architectures (CGRAs) provide tradeoff between the energy-
efficiency of Application Specific Integrated Circuits (ASICs) and the flexibility of General …

In terms of energy and flexibility, Coarse-Grained Reconfigurable Architectures (CGRA) are
proven to be advantageous over fine-grained architectures, massively parallel GPUs and …

General-purpose graphics processing units (GPGPUs) are extensively used in high-
performance computing. However, it is well known that these devices' reliability may be …

We present area and performance models for use in coarse-grained reconfigurable array
(CGRAs) architectural exploration. The area and performance models can be computed …

As a computing paradigm that combines temporal and spatial computations, dynamic
reconfigurable computing provides superiorities of flexibility, energy efficiency and area …

We present a new type of soft‐core processor called the “Data‐Flow Soft‐Core” that can be
implemented through FPGA technology with adequate interconnect resources. This …