Language barrier

Tuesday, March 1, 2011 - 05:30 in Mathematics & Economics

Computer chips’ clocks have stopped getting faster. To maintain the regular doubling of computer power that we now take for granted, chip makers have been giving chips more “cores,” or processing units. But how to distribute computations across multiple cores is a hard problem, and this five-part series of articles examines the different levels at which MIT researchers are tackling it, from hardware design up to the development of new programming languages.For decades, computer scientists tried to develop software that could automatically turn a conventional computer program — a long sequence of instructions intended to be executed in order — into a parallel program — multiple sets of instructions that can be executed at the same time. Now, most agree that that was a forlorn hope: Code that can be parallelized is too hard to recognize, and the means for parallelizing it are too...

Read the whole article on MIT Research

More from MIT Research

Latest Science Newsletter

Get the latest and most popular science news articles of the week in your Inbox! It's free!

Check out our next project, Biology.Net