| "1000-Pentium Beowulf Cluster for Genetic
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Beowulf cluster for SGI ?
(Score:1)
by bain
(bain@no-spoof-reaper.org) on Tuesday
August 10, @06:21AM EDT (#1)
(User
Info) |
Does anybody know if anybody has done clusters
using SGI MIPS boxes ...
That would be interresting to see..
bain
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i want one
by Anonymous
Coward on Tuesday August 10, @06:43AM EDT (#3)
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Anyone figure how much one of these would cost
from the specs they gave us?
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- Re:i
want one by Anonymous Coward Tuesday August 10,
@06:56AM EDT
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What's so cool about it?
by Anonymous Coward on Tuesday August 10, @06:54AM EDT (#4)
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Correct me if I'm wrong, but genetic programming
seems to be limited to a small set of problems where a well-define
goal state exists, and where metrics permit the valuation of the
distance between the goal and the program's current fitness to
achieve that goal.
In other words, it's pretty unlikely,
impossible even, to breed something like MS Office or Photoshop by
application of the genetic programming paradigm.
--
I
don't use Linux.
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Slashdot me baby.
by
Anonymous Coward on Tuesday August 10, @06:57AM EDT (#6)
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Slashdot me baby.
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Beowulf? (Score:1)
by
Stiletto on Tuesday August 10, @07:13AM EDT (#9)
(User
Info) http://netstorm.gamestats.com/
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Maybe someone could make a Beowulf out of it...
Oh... uh... no wait...
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top500 supercomputers
(Score:1)
by semis on Tuesday August 10, @07:16AM EDT (#11)
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How does this rate with Avalon and cplant on top500.org ?
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Pardon my paranoia
(Score:1)
by unitron
(unitron@familycom.com) on Tuesday August
10, @07:35AM EDT (#14)
(User
Info) |
"1000-Pentium Beowulf Cluster for Genetic
Programming"
Pardon my paranoia, but just whose genetics are
going to be programmed, for what, and why? :)
"I wish I
could change my sig file without the change being retroactive"
unitron |
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Conway's life?
(Score:1)
by Erich (nobody@wreck.org) on Tuesday August 10, @07:46AM
EDT (#15)
(User
Info) |
| Based on the way the nodes are arranged (a
torroid) and the fact that each node talks with it's neighbors, and
the fact that the server waits for the entire generation to
complete...
I think that these guys are just really into Conway's life. (you
know, the one that xlock -mode life plays). They got a grant from
some big company, and were like ``Hey... if we could get 1000
processors, we could re-generate the board really fast.
Seriously, though.. genetic programming can provide some really
nifty results for strange things... Speech / sight recognition, for
instance. Produce a program that tries to recognize the difference
between wav files of ``yes'' and ``no''... then mutate it a bunch of
times, and see which programs recognise better, and which worse...
sort of interesting.
-- Erich
Paranoia is just Reality at a higher resolution!
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GP - Ideal candidate for RC5 or
SETI style effort (Score:1)
by Sanity (I.Clarke@strs.co.uk) on Tuesday August 10,
@08:20AM EDT (#23)
(User
Info) http://www.dcs.ed.ac.uk/~iic
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| I have often thought that Genetic Programing
would make a perfect candidate for a SETI or distributed.net style
system. Simple define a simple language in which the programs can be
written, define a simple language in which a fitness function can be
defined, write a client with some kind of distribution mechanism
(which can even be arranged as a hierarchy to avoid server
bottle-necks) and Bobs your uncle!
Any takers...?
--
A subversive is anyone who can out-argue their
government. |
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"Coolest thing ever for
programmers"? (Score:2)
by Salamander (jdarcy@mediaone.net) on Tuesday August 10,
@08:44AM EDT (#28)
(User
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Not exactly. If they ever truly get it right,
there won't be programmers. I can hardly think of anything
less cool.
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A good intro book for Genetic
Programming ... (Score:1)
by Zach Frey (zfrey@bright.net) on Tuesday August 10, @08:59AM
EDT (#30)
(User
Info) http://www.bright.net/~zfrey/
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... is David E. Goldberg's Genetic
Algorithms in Search, Optimization and Machine Learning. I used
this book in a class I took (mumble) years ago (it was a new release
then), and it's a very clear introduction to both the theory and
practice of genetic algorithms. The book includes sample code (in
Pascal, unfortunately).
Goldberg was a graduate student of John Holland, who invented the
idea of using algorithms modeled on populations of genomes to do
effective computer searches. Not only is Goldberg well entrenched in
the academic side of GAs/GP, he has also used them in the Real
World&tm;. His doctoral thesis was on using GAs to determine the
optimal routing of gas pipelines.
GAs are useful in problems where you have a large search space,
and you want to find an optimal (or nearly-optimal) solution. (Think
of "Travelling Salesman"-type problems.) While it's tough (maybe
impossible) to prove that you have the perfectly optimal
solution with a GA, they are very good and finding solutions within
some small delta of optimal, which is often all you need. Set up
properly, they are also very good at avoiding the local minima
problems that affect other types of machine search, such as
classical rule-based AI or neural networks.
Of course, finding a good schema encoding and a fitness function
that reflects what you're trying to optimize for are non-trival
exercises ...
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ops/sec (Score:1)
by
vyesue on Tuesday August 10, @09:37AM EDT (#35)
(User
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{The 1,000-Pentium system operates at an
aggregate clock rate of 0.350 Tera-Hertz. Because multiple machine
operations are typically performed on each clock cycle on the
Pentium II processor, the machine performs somewhere in the
neighborhood of a tera-ops per second.}
Is this right? ~3
operations per cycle seems awfully high...
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Pictures! (Score:1)
by
malice95 (malice@exit109.com) on Tuesday August 10,
@10:06AM EDT (#38)
(User
Info) http://www.jeepin.org/
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We Wanna see pictures!:) Well I do at least..
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1000-Pentium Beowulf Cluster for Genetic
Programming