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Mathematical Modeling and Statistics
Tools like MATLAB and Mathematica have long been used on desktop computers to interactively develop and debug algorithms. However, the size and complexity of the problem that could be analyzed were limited by the memory capacity and compute power of the desktop system, so users would often spend months recoding algorithms into C, C++, Fortran and MPI to take advantage of high performance computers. SGI® UV from SGI manages this problem by providing shared memory capabilities in three expandable, cost-effective models. SGI® ICE bladed cluster and Rackable® cluster solutions are also available, for compute-intensive applications.
SGI also offers SGI® InfiniteStorage solutions for superior data storage and management, delivering top performance and superior configuration flexibility in a cost-effective solution that is easy to build and deploy. Image courtesy of Interactive Supercomputing LLC MATLAB | |