| Particle dynamics simulations | | Material modeling | | Data visualization | | Parallel computing |
Our parallel computing expertise enables us to develop numerical
applications that can take advantage of the large processing power
provided by multi-processor computers. These applications typically
divide the numerical model into several parts which are assigned to
different processors. As each processor deals with only a small part
of the model, the total processing time decreases significantly.
Example of a parallel computation. 1) A simplistic model of a
cooling tower subjected to a wind load from the left. 2) The model
after it has been divided into parts. 3) The computed deformations
for each part. 4) The final result.
Habanera's parallel software runs on most types of multi-processor
machines, including Linux clusters. This means that you have the
freedom to choose the computing platform that best matches your
needs and your financial situation.
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