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 ...

Intel's James Reinders looks into the algorithms that form the heart of threading building blocks - a C++ template library for parallel programming.

Parallel programming exploits the capabilities of multicore systems by dividing computational tasks into concurrently executed subtasks. This approach is fundamental to maximising performance and ...

As a parallel programming language and development tool, LabVIEW meets key requirements that embedded developers require to utilize parallel hardware: intuitive representation of parallel code ...

Dr. Guy Blelloch of Carnegie Mellon University has written an article for the folks at CilkArts analyzing why parallel programming seems to be more - Read more from Inside HPC & AI News.

Intel and Sun say that parallel programming is about to go mainstream.

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 ...

Intel's James Reinders presents some recurring themes for developers looking to improve their game when it comes to programming parallel systems ...

His Parallel Hierarchies pattern is “an extension of the Layers pattern”, which partitions the problem into layers components responsible to “provide operations or functions to more complex ...