Both parallel programming and asynchronous programming are examples of concurrent programming, meaning more than one operation is running at the same time. Parallel programming is a more specific form ...

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We explore the relationship between parallel programming and hardware design and ask the question “are these two activities the same thing at an important level of abstraction”? In particular, we ...

In today's widely used parallel programming models, subtle programming errors can lead to unintended nondeterministic behavior and hard to catch bugs. In contrast, we argue for a parallel programming ...

In addition to large-scale computers, multicore processors have taken a significant part in all kinds of devices, from personal computers to cell phones. Although programming techniques for parallel ...

The objective of this course is to provide students with strong background on parallel systems fundamentals along with experience with a diversity of both classical and modern approaches to managing ...

Ditto for CUDA, the parallel programming environment that Nvidia created for its Tesla GPU accelerators, which is often used in conjunction with or side-by-side on machines that support OpenMP or ...