The efficient implementation of pure declarative languages is alsovery difficult (curiously, the implementation problem is the dual ofthe automatic parallelization problem, an observation that we ...

Dr. Guy Blelloch of Carnegie Mellon University has written an article for the folks at CilkArts analyzing why parallel programming seems to be more difficult than sequential programming. He quickly ...

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), sequential ...

The authors of my Editor’s Top Picks for this week – Atego’s Kelvin Nilsen and Adacore’s S. Tucker Taft – believe that despite all the tools that allow embedded systems developers to maintain ...

High Performance Computing (HPC) and parallel programming techniques underpin many of today’s most demanding computational tasks, from complex scientific simulations to data-intensive analytics. This ...

One size does not fit all, and it never will. Parallel programming looks to level the playing field by leveraging multicore hardware. It was easy to program applications in the days when one chip, one ...