High-Performance Computing

Parallel processing for high-throughput simulation offers fast and economical computation on clusters of commodity computer hardware. Applications of parallel computing include solid mechanics, fluid dynamics, ray tracing and other visualization, molecular dynamics and protein folding, and cellular automata to model phenomena from epidemiology to options trading. However, implementation is difficult on many levels, from designing and setting up a computer cluster to optimizing software for large parallel machines.

Opennovation offers services across this range of challenges including the following:

Opennovation also owns and operates a cluster with 48 CPUs available as needed for running simulations.

References:

  1. A. Powell, O. Ocholi, J. Vieyra and B. Zhou, "Illuminator: a Free Graphics Toolkit for Parallel Visualization of Continuum Field Data," Poster at IEEE Cluster 2005 (submitted paper).
See also the Illuminator distributed visualization library.
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