It is crucial for Python to provide high-performance parallelism. This talk will expose to both data-scientists and library developers the current state of affairs and the recent advances for parallel ...

There is always the promise of using more computing power for a single task. Your computer has multiple CPUs now, surely. Your video card has even more. Your computer is probably networked to a ...

Parallel computing has been with us since the 1950s. Today, it lives in various forms, and its use in corporations can be widened through a number of new developments.

Computing is moving from serial processing, where each step has to be completed before the next is started, to massively parallel processing. The resulting leap in computer power will have a major ...

High Performance Computing (HPC) and parallel programming techniques underpin many of today’s most demanding computational tasks, from complex scientific simulations to data-intensive analytics.

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 ...

Yesterday, in a teleconference, Intel and Microsoft announced that they will start to fund serious efforts to make parallel computing mainstream. The companies are injecting $20 million into ...

Stephan Herhut overviews concurrency and parallelism in JavaScript and the HTML5, discussing actors, futures and what throughput computing in the browser looks like.

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

NCAR was able to speed up the Weather Research & Forecasting Model by 20% by parallelizing one component of the model with NVIDIA CUDA software and a many-core GPU Computing Processor called Tesla.