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 ...

Parallel programming exploits the capabilities of multicore systems by dividing computational tasks into concurrently executed subtasks. This approach is fundamental to maximising performance and ...

In Part 2 of this three-part series on dataflow programming with the Task Parallel Library, Eric Vogel shows you how to create a Windows 8 application that uses a composite parallel data flow. In Part ...

Aater Suleman at the Future Chips blog looks at how to choose the best task size at run-time for parallel programming. He analyzes the trade-offs and explains some recent advances in work-queues that ...

Programming challenges are biggest when the application and the implementation architecture are orthogonal. Application-specific architectures offer little opportunity for software to be a ...

Intel's James Reinders presents some recurring themes for developers looking to improve their game when it comes to programming parallel systems... I'm James Reinders and, as I've travelled around ...

To see how you might apply the methods outlined in Part 1 to a practical computingproblem, consider the error diffusionalgorithm that is used in manycomputer graphics ...

Two Google Fellows just published a paper in the latest issue of Communications of the ACM about MapReduce, the parallel programming model used to process more than 20 petabytes of data every day on ...

Ever wondered how Facebook is able to assemble personalized news feeds, in real time, for any of its billion-plus users who may log in at any given moment? Now we know, because the company has just ...