Students will be able to analyze the computing and memory architecture of a super computing node and use OpenMP directives to improve vectorization of their programs. This module focuses on the key ...

Parallel programming is an essential tool for computationally intensive statistical methods. This webinar focuses on the basics of parallel programming in R and includes first principles of cluster ...

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) ...