Proprietary programming approaches are gaining traction in a handful of applications. It could take a decade or more, however, for the brunt of the industry to catch up in any organized fashion, and the way forward goes through some tough terrain.

"Anything performance-critical will have to be rewritten," said Kunle Olukotun, director of the Pervasive Parallelism Lab at Stanford University, one of many research groups working on the problem seen as the toughest in computer science today.

Click here to read the entire article.