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

This project shows both the strengths and limitations of parallel computation. It makes use of multiple math units on a highly parallelizable workload, but as more math units are added there are ...

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), ...

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, ...

The PicoCray project connects multiple Raspberry Pi Pico microcontroller modules into a parallel architecture ... these tasks involve computing elements of the Mandelbrot Set.

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 ...

In Siegel's view, neither leading interpretation of parallel universes or a multiverse would be supported by a successful quantum computer. In one version, many parallel universes exist out in ...

In RIT’s computer science degree, you’ll specialize in areas such as artificial intelligence, computer graphics, computer theory, networking, security, robotics, parallel computation, data mining, ...