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

One size does not fit all, and it never will. Parallel programming looks to level the playing field by leveraging multicore hardware.

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

In the past, the CPU was the undisputed center of computing. But today, the GPU has taken that crown—not by replacing the CPU ...

Programming languages are evolving to bring the software closer to hardware. As hardware architectures become more parallel (with the advent of multicore processors and FPGAs, for example ...

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.

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

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