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By CodeJustin
via robots.net
Published: Jul 04 2009 / 17:26

Robots use all kinds of embedded processors. New processors are being created all the time. Writing software for all those processor requires a compiler and the most commonly used compiler is GNU GCC, originally created by Richard Stallman that made the Free Software and Open Source movements possible. The trouble is, a lot of work is involved in optimizing a complex compiler like GCC for every new processor that turns up. What if we could use AI and machine learning techniques to do all that work? This idea was explored by a group of EU research organizations. The result is MILEPOST GCC 4.4.0, the first machine learning enabled, self-tuning compiler that can adapt to any architecture using an iterative feedback-directed process. From the IBM press release:
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