Microsoft Technology Licensing, LLC

Tong Wen

Parry Husbands

Samuel Weiss

Sudarshan Raghunathan

Parry Jones Reginald Husbands

Ilya Matiach

Akshaya Annavajhala

Chun Sun

Chang Young Park

Implementing static loaders and savers for the transfer of local and distributed data containers to and from storage systems can be difficult because there are so many different configurations of output formats, data containers and storage systems. Described herein is an extensible componentized data transfer framework for performant and scalable authoring of data loaders and data savers. Abstracted local and distributed workflows drive selection of plug-ins that can be composed by the framework into particular local or distributed scenario loaders and savers. Reusability and code sparsity are maximized.

Framework for authoring data loaders and data savers

Various embodiments herein each include at least one of systems, methods, and software for instantiating, executing, and operating dynamic hybrid computing environments, such as in cloud computing. Some such embodiments include allocating computing resources of a first server cluster to instantiate a first cluster and to establish a computing session. This embodiment may then initiate execution of a program within the first cluster that offloads at least one computing task to a second cluster, when the second cluster is instantiated, to leverage high-computing speed performance capabilities of the second cluster with regard to certain computing operations. Upon completion of program execution, the second cluster is then deallocated.

Dynamic hybrid computing environment

Computerized singular value decomposition of an input complex matrix. A real-value matrix representation of the input complex matrix is provided to a singular value decomposition module, which correctly obtains a singular value representation of the real-value matrix representation. However, the result is not provided in a form for convenient conversion back into a valid singular value decomposition solution for the original input complex matrix, as the upper left half and lower right half of the diagonal of the diagonal matrix are not identical. A correction module corrects by formulating a corrected diagonal matrix that represents the value of the diagonal of the first diagonal matrix, but shuffled so that the upper left half of the diagonal of the second diagonal matrix is the same as the lower right half of the diagonal of the second diagonal matrix. Corrected unitary matrices may also be formed.

Singular value decomposition of complex matrix

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Quincy, MA, United States of America

Tong Wen