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distributed_system [2007-06-09 11:55] – nikdistributed_system [2007-11-04 10:09] (current) – 192.168.1.40
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 ==== distributed/ parallelo // concurrent/ ==== ==== distributed/ parallelo // concurrent/ ====
- +  * [[Parallel Computing In Lisp]] / [[Parallel Programming]]
- +
-  * ParallelComputingInLisp / ParallelProgramming+
   * NESL "is a parallel language developed at Carnegie Mellon by the SCandAL project. It integrates various ideas from the theory community (parallel algorithms), the languages community (functional languages) and the system's community (many of the implementation techniques)." >> http://www-2.cs.cmu.edu/~scandal/nesl.html   * NESL "is a parallel language developed at Carnegie Mellon by the SCandAL project. It integrates various ideas from the theory community (parallel algorithms), the languages community (functional languages) and the system's community (many of the implementation techniques)." >> http://www-2.cs.cmu.edu/~scandal/nesl.html
   * "How to Write Parallel Programs, A First Course" By Nicholas Carriero and David Gelernter > http://lindaspaces.com/book/index.html   * "How to Write Parallel Programs, A First Course" By Nicholas Carriero and David Gelernter > http://lindaspaces.com/book/index.html
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   * kell calculus http://sardes.inrialpes.fr/kells/   * kell calculus http://sardes.inrialpes.fr/kells/
-  * PiCalculus+  * [[Pi Calculus]]
  
 ==== automated parallelism ==== ==== automated parallelism ====
   * http://unthought.net/TONS-1/main.html   * http://unthought.net/TONS-1/main.html
      
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 ==== research projects/groups ==== ==== research projects/groups ====
  
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 ==== programming ==== ==== programming ====
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   * see also > [[Distributed Computing]]   * see also > [[Distributed Computing]]
   * [[MapReduce]]   * [[MapReduce]]
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     * DIYC [[computing clouds]] > http://www.infoq.com/news/2006/11/hadoop-ec2     * DIYC [[computing clouds]] > http://www.infoq.com/news/2006/11/hadoop-ec2
     * an introduction to map'ing and reduce'ing > http://www.cs.washington.edu/education/courses/cse490h/CurrentQtr/hadoop-codelab.html     * an introduction to map'ing and reduce'ing > http://www.cs.washington.edu/education/courses/cse490h/CurrentQtr/hadoop-codelab.html
 +    * hadoop, s3 and ec2 > http://open.blogs.nytimes.com/2007/11/01/self-service-prorated-super-computing-fun/ 
  
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