The Parallel & Distributed Computing Lab (PDCL) conducts research at the intersection of high performance computing and big data processing. Our group works in the broad area of Parallel & Distributed ...

While this looks like a parallel computing problem at first glance, running the code on the CRAYs of the day gave relatively little speedup because the stiffness of the PDEs was a strong function ...

A parallel can be drawn here with high performance computing (HPC), which networks classical computers together to increase the available processing power, memory, and storage.

“Distributed computing is not dying any more than chemistry or mathematics are dying,” he said. Andy Patrizio is a freelance technology journalist based in Orange County, California (not ...

Quentin Stout and Christiane Jablonowski from the University of Michigan gave a nice introduction to parallel computing on Sunday. They covered everything from architecture to APIs to the politics ...

To improve computational efficiency, the algorithm employs a distributed computing framework, efficiently distributing computational tasks across multiple computing units. Through a parallel ...

Selected advanced topics including: Parallel computing; network security; client-server computing; compression; web applications; wireless and mobile computing. The fourth number of the course code ...

This was a high-stakes implementation of advanced data pipelines designed with zero tolerance for data inconsistency or ...

Parallel computing has long been a stumbling block for scaling big data and AI applications (not to mention HPC), and Ray provides a simplified path forward. “There’s a huge gap between what it takes ...