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

~~NOTOC~~



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

  * Berkeley UPC: http://upc.lbl.gov/ 

===== Communicating Sequential Processes (CSP) =====
  * Hoare's original [[https://www.cs.cmu.edu/~crary/819-f09/Hoare78.pdf|1978 CACM paper]]
  * The classic CSP text: {{ :courses:cs377-202651:cspbook.pdf |Communicating Sequential Processes (Hoare)}}
  * The modern CSP text: [[http://web.comlab.ox.ac.uk/oucl/work/bill.roscoe/publications/68b.pdf|The Theory and Practice of Concurrency (Roscoe)]]
  * occam 
    * Professor Peter Welch's [[courses:cs377-202651: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)
  * JCSP: http://www.cs.kent.ac.uk/projects/ofa/jcsp/ (CSP package for Java)

===== 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 the PDF is available [[http://zoo.cs.yale.edu/classes/cs424/howto.pdf|here]]

===== 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]]
    * sadly, the only Wikipedia article I ever contributed to was deleted last year
    * but [[https://web.archive.org/web/20241217011741/http://en.wikipedia.org/wiki/Rinda_(Ruby_programming_language)|here]] it is--//as it was//--thanks to the Wayback Machine


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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 =====
  * A functional, concurrent programming language that implements the Actor model of concurrency
  * Office website for the [[http://www.erlang.org/|Erlang]] programming language
    * [[http://www.erlang.org/doc.html|Online documentation]]
  * Tutorial: [[https://learnyousomeerlang.com/introduction|learn you some Erlang for great good!]]


===== Chapel =====
  * [[https://chapel-lang.org/|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.//