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Oehmen, Christopher S.

Publications and source records attributed to Oehmen, Christopher S..

Advanced Computing is at the Forefront of a New “Moonshot” Revolutionizing the North American Power Grid

In the 50+ years since the first humans landed on the moon, computing has grown at breakneck speed. We are faced with another challenge that is just as daunting, and just as important to overcome-modernizing the North American electric power grid-and high-performance computing (HPC) systems with specialized software will be an important element in rising to this challenge. We describe at a high level how software developed in the ExaSGD project addresses this "moonshot" goal by utilizing exascale computing and a novel high performance solver software stack to support the mission of decarbonizing power grid operations in an environment of uncertain weather and climate. To reach the exascale benchmark the team has made a number of first-of-their-kind innovations, including novel method for stochastic optimization, fine grained parallel methods for modeling power systems, and GPU resident sparse numerical linear solvers.

17 WIND ENERGY↗

Flexible and Adaptive Malware Identification Using Techniques from Biology

The holy grail in cyber analytics is to find new ways to understand the information we already have access to. One way to do that is to characterize the data into reasonable sizes and then leverage any known information to generate new insights. Biologists have been using a similar process for decades. This paper introduces the MLSTONES tool set that was developed by leveraging biology and bioinformatics, high performance computing, and statistical algorithms applied to cyber data and specifically to malware. Furthermore, the paper discusses the tool suite, its applications, and how it compares or can work with other related tools.

Peterson, Elena S.↗