Parallel processing is a method in computing of running two or more processors, or CPUs, to handle separate parts of an overall task. Breaking up different parts of a task among multiple processors ...

This course focuses on developing and optimizing applications software on massively parallel graphics processing units (GPUs). Such processing units routinely come with hundreds to thousands of cores ...

Researchers at Emory University and Sandia National Laboratories have released a curated dataset of 77,890 OpenMP-annotated C ...

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 ...

A hands-on introduction to parallel programming and optimizations for 1000+ core GPU processors, their architecture, the CUDA programming model, and performance analysis. Students implement various ...