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= Chapel Cray =
== Team Information ==

# [mailto:tchung22@myseneca.ca?subject=gpu621 Taeyang Chung]

== Introduction to Chapel ==

Chapel(Cascade High-Productivity Language) is an alternative parallel programming language that focuses on the productivity of high-end computing systems.

The concept of "Productivity" is somewhat more special that we might think. There are three categories of people, interested in Parallel Programming.

'''* Student:'''I want something that is similar to the languages that I learned in school such as c++, c, and Java. I want it to be easy to implement the parallel programming on my code.

'''* HPC Programmers:'''I want the full control that gives me more spot to increase the performance.

'''* Computational Scientists:'''I want something that I can easily implement my computation without knowing much architecture knowledge.


'''Chapel:''' Chapel is the language that easy to implement the parallel computation that similar to other languages with granting full control to the users.

== Advantages of Chapel Cray ==
Other current parallel programming models are limited that they target to specific hardware and they only implement single type of parallelism.

* '''General Parallelism:''' Chapel has the goal of supporting any parallel algorithm you can conceive of on any parallel hardware you want to target.  In particular, you should never hit a point where you think “Well, that was fun while it lasted, but now that I want to do x, I’d better go back to MPI.”
* '''Separation of Parallelism and Locality:''' Chapel supports distinct concepts for describing parallelism (“These things should run concurrently”) from locality (“This should be placed here; that should be placed over there”).  This is in sharp contrast to conventional approaches that either conflate the two concepts or ignore locality altogether.
* '''Multiresolution Design:''' Chapel is designed to support programming at higher or lower levels, as required by the programmer.   Moreover, higher-level features—like data distributions or parallel loop schedules—may be specified by advanced programmers within the language.
* '''Productivity Features:''' In addition to all of its features designed for supercomputers, Chapel also includes a number of sequential language features designed for productive programming.  Examples include type inference, iterator functions, object-oriented programming, and a rich set of array types.  The result combines productivity features as in Python™, Matlab®, or Java™ software with optimization opportunities as in Fortran or C.

== Installation Process ==

* Download [https://github.com/chapel-lang/chapel/releases/download/1.12.0/chapel-1.12.0.tar.gz chapel-1.12.0.tar.gz] on [http://chapel.cray.com/install.html Chapel Hompage]

* On commandline, type tar xzf chapel-1.12.0.tar.gz

<pre>>tar xzf chapel-1.12.0.tar.gz</pre>

* Go to the chapel folder

<pre>>cd $CHPL_HOME</pre>

* Type gmake or make on command line to build the compiler

<pre>>gmake</pre>

<pre>>make</pre>

* Set up environment variable (http://chapel.cray.com/docs/1.12/usingchapel/chplenv.html)

== How to compile sample code ==

* How to compile

<pre>chpl -o execution_name file_name</pre>

* How to run

<pre>./execution_name</pre>

* How to run with the configuration of const variable

<pre>./execution_name --variable_name=value</pre>

* Chapel offers some example codes in examples folder. Use one of the files to test.

<pre>cd $CHPL_HOME/examples</pre>

== How to parallelize your code using Chapel Cray ==
== Demonstration of Sample Code ==
== Useful Links ==