In recent years, GPU-enhanced clusters have become more prevalent in High-Performance
Computing (HPC), leading to a demand for more efficient multi-GPU communication. This …

Applications that operate on large, sparse graphs and matrices exhibit fine-grain irregular
memory accesses patterns, leading to both performance and productivity challenges on …

Due to the emergence of various accelerators and interconnects over the years and their
adoption in upcoming exascale systems, it is pertinent to have scientific applications and …

The currently available machine learning libraries have strongly addressed deep learning
and parallel computing, but have neglected traditional machine learning methods and …