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Research Computing
Code Development
Programming Supported by Research Computing
Programming Supported by Research Computing
Details
The following programming is supported by Research Computing staff:
Basic and advanced programming in
Fortran C/C++
,
Java
.
Basic
GPU
programming under
CUDA
,
CUDA
directives under
Fortran
and
C
(PGI compilers),
Basic MATLAB CUDA
programming.
Web programming:
PHP
,
HTML
,
CSS
, Database programming and support.
Scripting:
Perl
,
Python
,
CSH
,
BASH
,
KSH
.
Parallel programming: Converting serial codes to parallel using
MPI
,
OpenMP
,
Hybrid
programming.
Code Debugging: use
Totalview
to debug codes.
Code development:
Serial
and
parallel
codes.
Code porting: Mainly to
Linux
environments including Math and Scientific libraries.
Application programming:
Matlab
programming,
SAS
programming, Visualization with
Visit
and
Vtk,
Spatial data processing using Python with ArcPy and PySal, GDAL in shell scripts, Python R
For additional information see:
Compilers on Research Computer systems
Debuggers on Research Computer systems
Compilers on 64-bit and 32-bit Research Computer Systems
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Check out this article I found in the ITC Services Portal knowledge base.<br /><br /><a href="https://services.dartmouth.edu/TDClient/1806/Portal/KB/ArticleDet?ID=64639">https://services.dartmouth.edu/TDClient/1806/Portal/KB/ArticleDet?ID=64639</a><br /><br />Programming Supported by Research Computing