As a simple, architecture-agnostic job scheduler that allows users to run data processing jobs with zero deployment files, Thorium saves money by automatically and efficiently managing data infrastructure.

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MATLAB Tensor Toolbox , Sandia scientists and colleagues are at the forefront of new research in algorithms and software for applying multidimensional arrays, called tensors, to solve multi-dimensional problems that arise in data analysis, signals processing, image recognition and analysis, and other fields. A major roadblock to the use of these multi-dimensional techniques was the absence of any software for large, sparse tensor calculations. Sparse tensors have a majority of entries that are zero. Only the non-zero entries are usually stored. Sandia scientists developed the Tensor Toolbox for MATLAB™ to address this need. The free software integrates with MATLAB™, the matrix-based high-level language and interactive environment that enables users to perform computationally intensive tasks faster than with traditional programming languages. The Tensor Toolbox makes working with tensors in MATLAB™ as easy as working with matrices. The user need not worry about the low-level details to do complex, high-level operations, and the tool can handle very large problems such as sparse tensors the size of 10,000 x 10,000 x 10,000 with a half-million nonzero entries.

Access the open source code here.

Xyce - Originally developed in support of the electrical designers at Sandia National Laboratories, Xyce has become a large part of the design and analytical process of circuit simulations. As a parallel code, it not only allows the simulations of circuits of unprecedented size, but has addressed possible solutions to critical numerical kernels such as improved time-stepping algorithms and controls, better convergence of the nonlinear solver, and improved device methods.

http://xyce.sandia.gov/