For NCI’s Prof Horacio González-Vélez, the challenge of computational science is building systems that are not only powerful, but keep up with the changing needs of science, industry and society.

Introduction to parallel computing for scientists and engineers. Shared memory parallel architectures and programming, distributed memory, message-passing data-parallel architectures, and programming.

Distributed parallel computing enables scalable performance across cloud platforms, high-performance computing (HPC) systems, edge-cloud infrastructures, and data-intensive applications. Effectively ...

The enormous growth in artificial intelligence (AI) and Internet of Things (IoT) is fueling a growing demand for high-efficiency computing to perform real-time analysis on massive amounts of data. In ...

While there have been considerable advances in compiler technology targeting CPU platforms, many of the optimizations performed automatically are limited to single-threaded execution, thus missing out ...

I wanted to find out where parallel computing stands today, so I talked with James Reinders, Parallel Programming Models Architect at Intel. He has been involved with high-performance computing (HPC) ...

Dr. M. Mustafa Rafique is a faculty in the Department of Computer Science at the Rochester Institute of Technology (RIT). He has more than fifteen years of professional and research experience ...