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Driven by the importance of relational aspects of data to decision-making, graph algorithms have been developed, based on simplified pairwise relationships, to solve a variety of problems. However, evidence has shown that hypergraphs—generalizations of graphs with (hyper)edges that connect any number of vertices—can better model complex, non-pairwise relationships in data and lead to better informed...
Switched power systems are inherently difficult to simulate, due to the significant sensitivity of the simulation algorithm to the timing of the switching events as well as the potentially complex dynamics of the components. Numerical simulation techniques, while flexible, are not well suited for large time scale simulation of such systems. Methods for increasing the accuracy of numerical simulation...
Background subtraction is an important problem in computer vision and is a fundamental task for many applications. In the past, background subtraction has been limited by the amount of computing power available. The task was performed on small frames and, in the case of adaptive algorithms, with relatively small models to achieve real-time performance. With the introduction of multi- and many-core...
This paper describes high school STEM lessons created by three undergraduate mentors. The mentors participated in a classroom outreach program called Computer Science Investigations (CSI: Cincinnati) as part of the Mentoring for Connections to Computing effort funded by the National Science Foundation's Broadening Participation in Computing program. The CSI program performs pre-college outreach with...
We present a collection of techniques for exploiting latent I/O asynchrony which can substantially improve performance in data-intensive parallel applications. Latent asynchrony refers to an application's tolerance for decoupling ancillary operations from its core computation, and is a property of HPC codes not fully explored by current HPC I/O systems. Decoupling operations such as buffering and...
The data needs of current and future PetaScale applications have increased over the last half decade to the extent that appropriate data management has become a crucial requirement. This concerns not only the storage of data produced by the new class of PetaScale applications, but also the data exchanges needed for coupling applications with concurrent analysis, online data visualization for validation,...
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