Wolfram's Mathematica is a complete tool to perform modeling, simulation, visualization, development, documentation, and deployment.
Software application: Mathematica
Version available: Mathematica 7 and 8
License: network license within campus.
Parallel options: Mathematica will work with local node kernels to spawn kernels on each processor with OpenMP procedure, so we can launch up to 12 kernels for each job. You have to request enough processors in your PBS script to cover your usage.
Compute and Visualize
Numerics of any precision, symbolics, or visualization--Mathematica is the ultimate computational tool, with system-wide technology to ensure reliability, ease-of-use, and performance. Use Mathematica computation directly, as the engine in an infrastructure, or integrated into a standalone application.
Develop applets, applications, documents, or infrastructure components and systems using Mathematica's unique mix of capabilities--achieving record times on large projects or making small developments practical at all.
Document and deployment
Mathematica offers a wide range of innovative deployment options based on the Mathematica notebook. Whether your deliverables are interactive documents, applications, infrastructure components, or presentations,Mathematica notebooks are the complete solution--deployable locally or across a network.
How to set up running Mathematica interactively using graphical interface on the cluster
Since you need to set the math font locally, probably you can use only linux box or cygwin to enable Mathematica on the cluster.
How to set up submit Mathematica jobs on the cluster
Mathematica parallel information : http://www.wolfram.com/products/mathematica/newin7/content/BuiltInParallelComputing/
See different parallel examples here: http://reference.wolfram.com/mathematica/ref/Parallelize.html,
Demo of mathematica: http://www.youtube.com/watch?v=ilm14HYsl6M
A tutorial: ICPR 2010 Tutorial: Designing multi-scale algorithms for quantitative image analysis
Parallel Tutorial: http://reference.wolfram.com/mathematica/ParallelTools/tutorial/Overview.html
Programming CUDA with Mathematica: