Ed,

I've experimented with various Java parallel processing frameworks, most 
recently the fork-join framework (JSR166) that will be included in Java 7.  The 
Sphinx-4 automatic speech recognition that I use employs a mulit-threaded 
phoneme scorer in order achieve better performance.  For the most part, the 
overhead precludes using Java parallelism for small-grained computation tasks 
in the programs that I write.

However the Microsoft approach is promising according to this article:
http://msdn.microsoft.com/msdnmag/issues/07/10/Futures/default.aspx

They include a "Parallel for" statement for the .Net platform that I think will 
be eventually copied by the Java community.  It seems to have low overhead, and 
I suppose that it works by having a hidden thread pool and VM optimization to 
execute the designated byte-codes in parallel.

I have devised a manycore development platform, in advance of the actual 
availability of these devices, by assembling a small and very cheap Linux 
cluster.  You can read about it at:  
http://texai.org/blog/2007/09/21/cheap-cluster .
-Steve
 
Stephen L. Reed 
Artificial Intelligence Researcher
http://texai.org/blog
http://texai.org
3008 Oak Crest Ave.
Austin, Texas, USA 78704
512.791.7860

----- Original Message ----
From: Ed Porter <[EMAIL PROTECTED]>
To: [email protected]
Sent: Tuesday, December 18, 2007 9:04:56 AM
Subject: [agi] 

 Here is the URL of a Kurzweil-linked NYTimes article about Microsoft's
commitment to writing code for many-core processors and how they will  enable
standard PC's and handhelds to do AI tasks such as vision, speech rec,  and
semantic content understanding.

http://www.nytimes.com/2007/12/17/technology/17chip.html?_r=1&oref=slogin&pa
gewanted=print 

Advances in many-core processing is a positive for the development of  AGI,
although I believe AGI will be much easier to parallelize than most
traditional programming.

Ed Porter


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