In the past decade, Graphics Processing Units have played an important role in the field of
high-performance computing and they still advance new fields such as IoT, autonomous …

The emerging field of artificial intelligence of things (AIoT, AI+ IoT) is driven by the
widespread use of intelligent infrastructures and the impressive success of deep learning …

Loop unrolling is one of the prominent loop transformation techniques. It is used to increase
speed by replicating the loop body and decreasing branches. Loop unrolling is based on the …

Modern throughput processors such as GPUs employ thousands of threads to drive high-
bandwidth, long-latency memory systems. These threads require substantial on-chip storage …

Graph Neural Networks (GNNs) have emerged as a promising class of Machine Learning
algorithms to train on non-euclidean data. GNNs are widely used in recommender systems …

We present a computational model of contour processing that was suggested by
neurophysiological recordings from the monkey visual cortex. The model employs …

Graphics Processing Units (GPUs) employ large register files to accommodate all active
threads and accelerate context switching. Unfortunately, register files are a scalability …

Since the advent of GPU computing, GPU hardware has evolved at a fast pace. Since
application performance heavily depends on the latest hardware improvements …

Electromagnetic transient (EMT) simulation is one of the most complex power system studies
that requires detailed modeling of the study system including all frequency-dependent and …

Abstract The advent of Graph Neural Networks (GNNs) has revolutionized the field of
machine learning, offering a novel paradigm for learning on graph-structured data. Unlike …