====== Language Resources ======

~~NOTOC~~



===== Unified Parallel C (UPC) =====

  * Berkeley UPC: http://upc.lbl.gov/ 
  * GWU UPC http://upc.gwu.edu/ 
  * Tarek El-Ghazawi, William Carlson, Thomas Sterling, and Katherine Yelick. //UPC: Distributed Shared Memory Programming//. John Wiley & Sons, Inc. (c) 2005.
    * Ch. 1: [[http://samples.sainsburysebooks.co.uk/9780471478379_sample_386594.pdf|PDF]] 

===== Communicating Sequential Processes (CSP) =====
  * The classic CSP text: [[http://www.usingcsp.com/|Communicating Sequential Processes (Hoare)]]
  * The modern CSP text: The Theory and Practice of Concurrency (Roscoe) ([[http://web.comlab.ox.ac.uk/oucl/work/bill.roscoe/publications/68b.pdf|PDF]])
  * occam 
    * Professor Peter Welch's [[courses:cs377-201951:welch-lectures:top|occam tutorial slides]] and 
    * [[http://www.cs.vassar.edu/~cs377/phw-slides/anonqa-2005/index.html|FAQs]] from his course at the University of Kent
    * [[http://www.occam-pi.org/|occam-pi]]: (The occam-pi programming language and [[https://www.cs.kent.ac.uk/research/groups/plas/wiki/OccamPiReference/|reference]])
  * JCSP: http://www.cs.kent.ac.uk/projects/ofa/jcsp/ (CSP package for Java)
  * Ian East. //Parallel Processing with Communicating Process Architecture//. University College London Press, (c) 1995. (This text is out of print, but the author has provided the text in PDF chapters for use in our course.)

===== Go =====
  * [[http://golang.org/|The Go Programming Language]]
    * [[https://tour.golang.org/concurrency/1|Concurrency]]



===== Linda =====

  * Nicholas Carriero and David Gelernter. //How to Write Parallel Programs: A First Course//. MIT Press, (c) 1990. 
    * This text is out of print, but here's the {{ :courses:cs377-201951:htwpp.pdf |PDF}} \\ (also available at http://zoo.cs.yale.edu/classes/cs424/howto.pdf)

===== Rinda =====
  * Linda implementation for the [[http://www.ruby-lang.org/en/|Ruby programming language]]
  * About [[http://en.wikipedia.org/wiki/Rinda_(Ruby_programming_language)|Rinda]]


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===== CUDA =====
 
  * Definitions:
    * CUDA -- Compute Unified Device Architecture
    * GPU -- Graphics Processing Unit
    * GPU cluster -- An HPC cluster equipped with multiple GPU devices (rather than CPUs)
    * GPGPU -- General Purpose GPU (i.e., not just for optimized graphics processing)
  * CUDA is
    * a parallel computing platform and API model created by [[https://www.nvidia.com/|Nvidia]]. --[[https://en.wikipedia.org/wiki/CUDA|Wikipedia]]
    * more than a library for a programming language(s)
    * an extension of C/C++ to allow programmers to use nVidia GPU cards for GPGPU programming
  * Tutorials:
    * https://devblogs.nvidia.com/even-easier-introduction-cuda/

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===== Erlang =====
  * Office website for the [[http://www.erlang.org/|Erlang]] programming language
    * [[http://www.erlang.org/starting.html|Tutorial guides]]
    * [[http://www.erlang.org/doc.html|Online documentation]]


===== Chapel =====
  * [[http://chapel.cray.com/|The Chapel Parallel Programming Language]]




===== Scala =====

  * [[http://www.scala-lang.org/|The Scala Programming Language]]


===== Clojure =====

  * [[http://clojure.org/|The Clojure Programming Language]]

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//Other references will be listed here as necessary.//