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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Jinsong Yu shares deep architectural insights ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

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 ...

El Dorado Hills, Calif. – July 18, 2017 – The Multicore Association, a global non-profit organization that develops standards to speed time-to-market for products with multicore processor ...

In the task-parallel model represented by OpenMP, the user specifies the distribution of iterations among processors and then the data travels to the computations. In data-parallel programming, the ...

Microsoft is building two new additions to its .Net framework that should make it much easier for programmers to utilize all the cores of a multicore processor. The additions should not only ease the ...

Take advantage of lock-free, thread-safe implementations in C# to maximize the throughput of your .NET or .NET Core applications. Parallelism is the ability to have parallel execution of tasks on ...

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 ...