Intel director James Reinders explains the difference between task and data parallelism, and how there is a way around the limits imposed by Amdahl's Law... I'm James Reinders, and I'm going to cover ...

Task parallelism is perhaps the most general approach to parallel processing. In task parallel programs, different operations (i.e., tasks) are performed simultaneously; sometimes the tasks operate on ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

The Task Parallel Dataflow (TDF) library is built upon the existing Task Parallel Library (TPL) included in the .NET 4.0 Framework. Although the TPL provides a lot of functionality to help parallelize ...

The TPL (Task Parallel Library) is one of the most interesting new features added in the recent versions of .NET framework. The Task.WaitAll and Task.WhenAll methods are two important and frequently ...

One of the things to avoid when it comes to parallelism is working with raw threads. Abstraction offers a way around the issue, by avoiding the need to deal with low-level details of parallel systems, ...

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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 ...

Real-time scheduling of parallel tasks in multiprocessor systems is a critical field that underpins the reliability and efficiency of modern computing in applications ranging from embedded systems to ...