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

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 online research computing specialization introduces learners to the fundamentals of high performance and parallel computing and includes big data analysis, machine learning, parallel programming, ...

Get to know the basics of an HPC system. Users will learn how to work with common high performance computing systems they may encounter in future efforts. This includes navigating filesystems, working ...

Heterogeneous Computing, Software Defined Networking, Machine Learning, High Performance Networking, Parallel and Distributed Processing, Embedded Systems. Data analytics with machine learning, ...

Quantum computing holds great promise in such such as computational chemistry and high-speed networking. But they’re so ...

Quantum computers promise to speed calculations dramatically in some key areas such as computational chemistry and high-speed networking. But they're so different from today's computers that ...

His research interests are parallel, distributed, and high-performance architectures as well as efficient implementation and configuration of applications on them, including GPU, mobile, and cloud ...

CS 358 serves as an introduction to the field of parallel computing. Topics include common parallel architectures (shared memory, distributed memory, CPU vs. GPU, multicore vs. multiprocessor), ...