CUDA programming has been a valuable component in the Nvidia ecosystem since 2006 and is a linchpin in the company's AI ...

COURSE GOALS: To provide an introduction to the field of parallel computing. The goals are to provide an overview of the three basic types of parallel computing: shared memory, distributed memory ...

Users will learn how to work with common high performance computing systems they may encounter in future ... to load software appropriately onto an HPC system, what the different types of nodes a user ...

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

Parallel computing speeds up data crunching. Projects that took hours now take seconds. It's the fundamental concept that, along with advanced semiconductors, has ushered in the AI boom.

In other words, it facilitates the programming of parallel computing systems and, Nvidia said, will accelerate the path to exascale computing. "We moved to a new open-source infrastructure called ...

Here we introduce jModelTest 2, a program for nucleotide-substitution model selection that incorporates more models, new heuristics, efficient technical optimizations and parallel computing.

In this video from EuroPython 2019, Pierre Glaser from INRIA presents: Parallel computing in Python: Current state and recent advances. Modern hardware is multi-core. It is crucial for Python to ...