For more on this topic see Using pipelining in multicore LabView and Using data parallelism in multicore LabView. Until recently, advances in computing hardware have provided significant increases in ...

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 ...

Lots more cores are coming -- but don't panic. Look for abstract programming methods pioneered by the MIT Cilk project to span to the future to address task parallelism, data parallelism and safety ...

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 ...

I’m James Reinders, and I’m going to cover to key concepts involved with parallelism today. They are terms that you’ll hear when you start working with parallel programming, when you start looking at ...

In part one of this article, we show how video applications present opportunities for multiple forms of parallelism. We then review the hardware and software approaches for exploiting these ...

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 ...

Huge volumes of data need near-supercomputer power to process and analyze it all. You can get there with the .NET Task Parallel Library. As Web and mobile applications face the challenge of quickly ...