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Star-P® is a parallel application development platform that lets scientists, engineers and analysts create algorithms and models on their desktops using familiar mathematical tools - such as MATLAB®, Python and R - and then run them instantly and interactively on parallel computers with little to no modification. Star-P eliminates the need to re-program applications in C, Fortran or MPI in order to run on parallel systems, resulting in huge productivity gains.
- Fully leverage staff of analysts, engineers and consultants currently using MATLAB®, Python and R
- Rapidly deliver proof of concepts, prototypes and pilots without the heavy programming investment
- Shorten calendar time associated with project delivery
- No re-programming to C, C++ or Fortran and no Message Passing (MPI) knowledge is required
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Our Customers
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As simulation replaces physical testing, and increasingly complex phenomena are modeled, high performance computers are growing in importance for science and engineering. Interactive desktop science and engineering tools - such as MATLAB®, Python, R, and others - are critical in new model and algorithm development. The current HPC workflow is fundamentally flawed, due to its inability to support an interactive discovery process, but a new programming model is showing promise in enabling desktop tools to operate interactively on servers, clusters, and grids.
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As engineers and scientists explore parallel programming approaches, an increasing array of choices is available to them. What is best for your next project? The optimal choice is driven by several factors, including ease of use, scalability, platform scope, and vendors' market focus. To help you sort through these factors, the paper outlines the key questions to ask your potential vendor.
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