Abstract Network on Chip (NoC) is an interesting technology that benefits from several
processing elements and the necessary communication facilities, to provide an answer to …

Multi-core systems-on-chip are becoming state-of-the-art. Therefore, there is a need for a
fast and energy-efficient interconnect to take full advantage of the computational capabilities …

Contour tracing is a critical technique in image analysis and computer vision, with
applications in medical imaging, big data analytics, machine learning, and robotics. We …

Contour tracing is an important pre-processing step in many image-processing applications
such as feature recognition, biomedical imaging, security and surveillance. As single …

Conventional electronic Artificial Neural Networks (ANNs) accelerators focus on architecture
design and numerical computation optimization to improve the training efficiency. However …

Abstract Conventional electronic Artificial Neural Networks (ANNs) accelerators focus on
architecture design and numerical computation optimization to improve the training speed …

As deep learning (DL) algorithms evolve and data volumes expand, training deep neural
networks (DNNs) has become essential across various domains, delivering unprecedented …

This paper delves into the shift from Instruction-Level Parallelism (ILP) to Heterogeneous
Hybrid Parallel Computing in the quest for optimized performance processing. It sheds light …

Conventional electronic Artificial Neural Networks (ANNs) accelerators focus on architecture
design and numerical computation optimization to improve the training speed. Optical …

Designing a simplest architecture involves appropriate placement, which is often, regarded
as a critical concerns of physical design engineers. Placement and routing of chips in …