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Physical Sciences and Mathematics Commons™
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Full-Text Articles in Physical Sciences and Mathematics
Accelerating Image Feature Comparisons Using Cuda On Commodity Hardware, Amy Apon, Seth Warn, Wesley Emeneker, John Gauch, Jackson Cothren
Accelerating Image Feature Comparisons Using Cuda On Commodity Hardware, Amy Apon, Seth Warn, Wesley Emeneker, John Gauch, Jackson Cothren
Publications
Given multiple images of the same scene, image registration is the process of determining the correct transformation to bring the images into a common coordinate system—i.e., how the images fit together. Feature based registration applies a transformation function to the input images before performing the correlation step. The result of that transformation, also called feature extraction, is a list of significant points in the images, and the registration process will attempt to correlate these points, rather than directly comparing the input images.
Community Funding Models For Computational Resources, Amy Apon, Jeff Pummill, Dana Brunson
Community Funding Models For Computational Resources, Amy Apon, Jeff Pummill, Dana Brunson
Publications
As scientific research has extended far beyond the practicality and abilities of laboratory experiments, computational simulations have become the mainstay of enabling and furthering the research in a way never previously thought possible. It is becoming commonplace to model and simulate both the very large, such as black hole collisions in astrophysics, and the very small, such as subatomic particle behavior and interaction in high energy physics. In addition to the previous examples detailing extremes, practically every area of research currently utilizes and benefits from computational resources to simulate their work; financial modeling, weather forecasting, geological phenomena, geo-spatial data analysis, …
High Performance Computing Instrumentation And Research Productivity In U.S. Universities, Amy W. Apon, Linh B. Ngo, Stanley Ahalt, Vijay Dantuluri, Constantin Gurdgiev, Moez Limayem, Michael Stealey
High Performance Computing Instrumentation And Research Productivity In U.S. Universities, Amy W. Apon, Linh B. Ngo, Stanley Ahalt, Vijay Dantuluri, Constantin Gurdgiev, Moez Limayem, Michael Stealey
Publications
This paper studies the relationship between investments in High-Performance Computing (HPC) instrumentation and research competitiveness. Measures of institutional HPC investment are computed from data that is readily available from the Top 500 list, a list that has been published twice a year since 1993 that lists the fastest 500 computers in the world at that time. Institutions that are studied include US doctoral-granting institutions that fall into the very high or high research rankings according to the Carnegie Foundation classifications and additional institutions that have had entries in the Top 500 list. Research competitiveness is derived from federal funding data, …