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

I hope that this article has shown how parallel programming is for everybody. I've listed a few examples of what I believe to be good areas to apply the concepts presented here, but I'm sure there are ...

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 ...

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 ...

The main challenge consists in deciding how to partition your problem into chunks suitable for parallel execution. As with so many other aspects in parallel programming, this is where experience ...

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

The latest release of the C++ programming language, version C++11, includes a capability called Futures that allows programmers to neatly program in parallel, so a program can continue to execute ...

In "Waking Up Multi-Core Processors," I explained how programming toolkits can make parallel programming easier for certain classes of applications.

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 ...