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), ...
The PicoCray project connects multiple Raspberry Pi Pico microcontroller modules into a parallel architecture ... these tasks involve computing elements of the Mandelbrot Set.
Georgia Tech Regents’ Professor Srinivas Aluru is the recipient of the Charles Babbage Award for 2025. Aluru was awarded for ...
The evolution of processors from general computing to AI acceleration has led to specialised GPUs, TPUs, and NPUs, optimising ...
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, ...
What will really matter in the long run? That’s the question we tackle each year as we compile this annual list. Despite fewer clicks, copyright fights, and sometimes iffy answers, AI could ...
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 ...
multi-GPU” parallel computing approach based on domestic CPUs and GPUs. The results of their research were published in the Chinese Journal of Hydraulic Engineering on January 3.
Data management requirements have driven the need for advanced in-memory caching tools like ScaleOut StateServer®. ScaleOut ...
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