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

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 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 ...

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

The evolution of processors from general computing to AI acceleration has led to specialised GPUs, TPUs, and NPUs, optimising ...

Georgia Tech Regents’ Professor Srinivas Aluru is the recipient of the Charles Babbage Award for 2025. Aluru was awarded for ...

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, ...

They weren't angling for jobs or selfies. By and large, they were nerding out on the possibilities of parallel computing. This is the fundamental concept that has catapulted Nvidia to become the ...

Chinese researchers have achieved a groundbreaking performance boost in supercomputing, using domestically developed GPUs. Their new computing model delivered a nearly tenfold speed improvement ...

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 ...

Data management requirements have driven the need for advanced in-memory caching tools like ScaleOut StateServer®. ScaleOut ...