Introduction to parallel computing for scientists and engineers. Shared memory parallel architectures and programming, distributed memory, message-passing data-parallel architectures, and programming.

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 ...

Parallel Computing for Differential Equations Publication Trend The graph below shows the total number of publications each year in Parallel Computing for Differential Equations.

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.

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

Pierre Glaser from INRIA gave this talk at EuroPython 2019. "Modern hardware is multi-core. It is crucial for Python to provide high-performance parallelism. This talk will expose to both ...

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 ...

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 ...

Nvidia has unveiled a new compiler source code to add new languages to its parallel programming and boost the adoption of GPUs.