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 ...

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 ...

The University of Illinois at Urbana-Champaign is partnering with graphics processor developer Nvidia to offer a course in parallel computing--a course that will be taught by both the chair of the ...

This course is designed for scientists, engineers, students, and professionals looking to develop efficient solutions for high-performance and distributed computing systems. It focuses on parallel ...