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

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

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

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

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.

AI and data: Get ready for extreme parallel computing Headline news and analysis: Breaking Analysis: How Nvidia is creating a $1.4T data center market in a decade of AI ...

Flow Computing is emerging from stealth with a funding round of $4.3 million and a goal of boosting CPU performance 100X.

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