Week 1 : Introduction to parallel computing: motivation for parallel computing, options of parallel computing, economics of parallel computing, basic concepts of parallel algorithms.

Important concepts will also be introduced including race conditions, synchronization, barriers, deadlock, caching, cache coherence, memory consistency, profiling, speedup, and Amdahl’s law. Important ...

Chemical process simulations are crucial for optimizing industrial operations, but they often require significant ...

The PicoCray project connects multiple Raspberry Pi Pico microcontroller modules into a parallel architecture leveraging an I2C bus to communicate between nodes.

The primary goal of parallel computing is to increase available computation power for faster application processing and problem-solving.

Many attempts have been made over the last 46 years to rewrite Amdahl's law, a theory that focuses on performance relative to parallel and serial computing. One scientist hopes to prove that ...

What is CUDA programming, exactly? According to Nvidia, CUDA is a parallel computing platform and programming model that enables developers to write code and build applications on Nvidia's GPUs.

Creating a $99 parallel computing machine is just as hard as it sounds Better late than never, Parallella is now shipping to Kickstarter backers.