The best parallel processing libraries for Python. Ray: Parallelizes and distributes AI and machine learning workloads across CPUs, machines, and GPUs.; Dask: Parallelizes Python data science ...

In this video from the European R Users Meeting, Henrik Bengtsson from the University of California San Francisco presents: A Future for R: Parallel and Distributed Processing in R for Everyone. The ...

Apple isn't content with the existing distributed computing technologies, and is working on a way to network your Mac, iPhone, iPad, and maybe even the Apple Vision Pro together to combine ...