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Distributed Chess Computing Project
jcarley writes "Just found an interesting project that is looking to capitalise on the power of unused computing cycles to develop a strong chess playing computer. Given the power in single and dual CPU chess programmes these days, if they can find a good way to efficiently parallel the anaysis this could be interesting. "
The project looks interesting, but the guy brings up the whole "we only use 10% of our brain" myth
Writers imply. Readers infer.
It's an old mistake.. Most everyone uses most of their brain. The misconception comes from some old paper where it said that people only use about 10% of their brain at any one time. You don't need that part that lets you ride a bike or that part that lets you talk when you're sitting down and typing in front of a computer.. Unless you have a really weird voice activated unicycle for a chair...
- Give a man a fire and he's warm for a day, but set him on fire and he's warm for the rest of his life.
There is no "if" in "if they can find a good way to efficiently parallel the analysis".
To play chess well, you recurse into a "deep" tree. You analyse say 10 moves, and then ten moves for the opponent. That explodes pretty quickly. So you end up evaluating millions of chess positions several moves down the road. But there are only a hundred or so "shallow" moves.
It's trivial to do the first 2 moves on the computer "distributing the work", and then to pass out the +/- 100 problems of recursing those resulting moves to 100 computers.
Sure, there is some optimization to be had by breaking off "useless" trees. That optimization will not run as good in parallel than it does on one computer. Then you may waste say half your compute nodes. But the other half is providing you with a 50-fold increase in performance.
Roger