In this slidecast, Torsten Hoefler from ETH Zurich presents: Data-Centric Parallel Programming. "To maintain performance portability in the future, it is imperative to decouple architecture-specific ...

The origin of CUDA. In 2003, a team of researchers led by Ian Buck unveiled Brook, the first widely adopted programming model to extend C with data-parallel constructs.

I hope that this article has shown how parallel programming is for everybody. I've listed a few examples of what I believe to be good areas to apply the concepts presented here, but I'm sure there are ...

Microsoft is planning to move its Dryad parallel/distributed computing stack from Microsoft Research to Microsoft's Technical Computing Group and deliver a final version of that technology to ...

On a CUDA-enabled GPU, many processors can be executed at once, which enables developers to conveniently take advantage of a data parallel-programming methodology.

Version 6.0 of the OpenMP API is released, which opens up parallel programming to new applications, makes it easier to develop parallel programs, and gives more fine grain control to the developer.

As modern .NET applications grow increasingly reliant on concurrency to deliver responsive, scalable experiences, mastering asynchronous and parallel programming has become essential for every serious ...

In data-parallel programming, all code is executed on every processor in parallel by default. The most widely used standard set of extensions for data-parallel programming are those of High ...