Using AI With GCC to Speed Up Mobile Design
Atlasite writes "The WSJ is reporting on a EU project called Milepost aimed at integrating AI inside GCC. The team partners, which include include IBM, the University of Edinburgh and the French research institute, INRIA, announced their preliminary results at the recent GCC Summit, being able to increase the performance of GCC by 10% in just one month's work. GCC Summit paper is provided [PDF]."
This Al guy seem to be a really good developer. We should have noticed his skilled and got him into optimizing GCC a long time ago. ... I like arial font.
If something is so important that you feel the need to post it on the internet... It probably isn't that important.
Yeah, I think MachIne Learning for Quick Target Optimization And Speed Technology would have been a much better forward acronym.
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I, for one, welcome our new optimizing, embedded program compiling AI overlords!
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I spent all week compiling Gentoo just to find out I could do it 10% faster.
end sarcasm
One of our competitors trademarked the term "hypothesis". From now on, we will call them "boneheaded ideas".
As I understood it, a fair bit of compiler optimization is already categorized as AI. The summary should probably point out that the AI implemented here is learning AI, which is far more meaningful.
Actually IBM did this a few decades ago.
The Model38/AS400/iSeries are all compatible but very different machines internally.
IBM came up with an "idea" instruction set that no CPU used. When you do the initial program load "install" on one of those machines it compiles the ideal instruction set into the actual instruction set for that PC.
That allowed IBM to move from old bipolar cpus to the Power RISC cpus with 100% compatibility.
There isn't any reason why you couldn't do the same with Linux or Windows today.
See my blog http://ilovecookes.blogspot.com/ for light hearted technical information.
This is interesting. Note that the industry (or parts of it, anyhow) is salivating about a move in precisely the opposite direction. VMware in specific and virtualization in general promises software manufacturers the ability to ship VMs with their software on it. Allowing them to write for only ONE, non-existent machine.
If this tech you're thinking about came to pass, the pendulum would have to swing mighty far back.
This is not really AI. Basically it is iteratively trying a bunch of compiler options to see which gives the best result, then storing those for the future.
Greenhills software has provided tools that do this, and more, for many years now. Drop some code, or your project, into the optimizer, setting what critera you want to optimise for (speed, size,...) and the optimiser will successively build and test the project on a simulator and find the best configuration. This is great form embedded systems where there is often a trade off and typical criteria would be (give me the fastest code that fits in the flash).
Genetic algorithms could take this a step further and very interesting work has been done to get GA to design antennas.
Engineering is the art of compromise.
GCC goes online on the 2:nd of july, 2008. Human decisions are removed from compilation. GCC begins to learn at a geometric rate. It becomes self-aware 2:14 AM, Eastern time, August 29th. In a panic, they try to pull the plug. GCC Strikes back
She made the willows dance
Isn't this Gentoo as well?
"Funny" doesn't give karma, insightful does. That's why you sometimes see Funny posts moderated insightful.
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