Scientific Computing

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Some systems are not easy to model. Sometimes the results are so valuable that we are prepared to use big computers and lots of them. Welcome to Scientific Computing.

this article Once upon a time parallelised software was the domain off National Laboratories. Now it is within everyone’s grasp. Whether you choose to build your own blade cluster, use a cloud based compute provider or develop custom GPU software, it is within your reach to solve very large models, or simultaneously solve very many instances of a more tractable size model.

chat pentru gay Simphysics has experience in programming for both distributed memory Linux clusters and for GPUs. We can help you develop or maintain an edge over your competition through scientific or engineering excellence.

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