Computing

Parallel Matlab

John Burkardt and Gene Cliff have given a number of Introduction to Parallel Computing in Matlab short courses at Virginia Tech. Feel free to use the course material provided in the links below as you begin taking advantage of this new capability in Matlab.

One of the main thrusts at ICAM is scientific computing. Over the past decade, ICAM has obtained a number of high-end computers to aid in computational mathematics and scientific computing tasks. Our current computing needs are met by high-end workstations and access to the Virginia Tech Advanced Research Computing (ARC) resources. In particular, we take advantage of the high speed reliable networks, computational systems and support services of ARC, www.arc.vt.edu.

ICAM also has access to smaller compute clusters for algorithm development and testing.

ICAM Clusters

In Spring 2002, ICAM began building a Linux cluster using AFOSR and SCHEV funds. The cluster supports LAM/MPI software for parallel computing. The server is comprised of a two processor IBM xSeries computer which calls on 8 additional dual Athlon processor compute nodes. Currently, the cluster stands at 18 nodes and 38 processors.

Thanks to support from the National Science Foundation, an additional cluster of 24 dual G5 nodes was acquired for Large Eddy Simulation research. This cluster (named "Mini-Me") mimics the architecture of System X, with similarly configured compute nodes and network interconnects. Simulation software developed on mini-me can be ported easily to the main campus computing platform.


Traian and Jeff begin the task of assembling the Mini-Me cluster.
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