Parallel processing, an integral element of modern computing, allows for more efficiency in a wide range of applications.

Quentin Stout and Christiane Jablonowski from the University of Michigan gave a nice introduction to parallel computing on Sunday. They covered everything from architecture to APIs to the politics ...

Once a processor node has an address, it can be sent tasks from the controller node. In the example application, these tasks involve computing elements of the Mandelbrot Set.

The move to parallel computing represents a terrific opportunity to move from your current, internally siloed operations. You could leap to horizontal, customer-centric organizational groups, like ...

CUDA is a parallel computing platform and programming model developed by NVIDIA for general computing on its own GPUs (graphics processing units).

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

In this video, Torsten Hoefler from ETH Zurich presents: Scientific Benchmarking of Parallel Computing Systems. "Measuring and reporting performance of parallel computers constitutes the basis for ...

Research from all publishers Recent work has demonstrated the potential of parallel-in-time strategies to revolutionise the numerical solution of differential equations. For example, a multiple ...

A team from the Chinese Academy of Sciences developed a parallel optical computing architecture with 100 wavelengths, pushing the boundary of computility.