Fall 2019¶

Abstracts¶

11 / 15 Nathan Moore (JMU '20)¶

POST: A Machine Learning Based Paper Organization and Scheduling Tool

Organizing and assigning papers into sessions within a large conference is a formidable challenge. Some conference organizers, who are typically volunteers, have utilized event planning software to ensure simple constraints, such as two people cannot be scheduled to talk at the same time. In this work, we proposed utilizing natural language processing to find the topics within a corpus of conference submissions and then cluster them together into sessions. As a preliminary evaluation of this technique, we compare session assignments from previous conferences to ones generated with our proposed techniques.

Advisors: Profs. Kevin Molloy and Michael Stewart

10 / 11 Jenna Horrall (JMU '20)¶

Machine Learning Application to Sand Dune Model Prediction

The ability to simulate the movement of sand dunes over a certain period of time is beneficial as they have a significant impact on a wide variety of people ranging from dry to coastal areas. Current physics-based simulation models are highly inefficient and computationally expensive. Here, we train a Generative Adversarial Network (GAN) to make video predictions of sand dune data in an attempt to decrease the computational effort required to run these simulations.

Advisor: Dr. Barry Rountree (Lawrence Livermore National Laboratory)

10 / 11 Logan Moody (JMU '20)¶

In high performance computing, many applications can easily generate terabytes to petabytes of floating-point data. Moving this data between nodes, over the internet, or within the memory, hierarchy presents a significant bottleneck to these programs. We propose a specialized accelerator to preform floating-point array compression using the ZFP compression algorithm. This talk will explore the potential benefits and difficulties of developing this accelerator.

Advisor: Dr. Scott Lloyd (Lawrence Livermore National Laboratory)

10 / 5 Profs. John Bowers, Jason Forsyth (JMU Engineering), Mike Lam, Michael Kirkpatrick, Chris Mayfield, Kevin Molloy, Nathan Sprague, Michael Stewart, and Dee Weikle¶

What is CS research? (Profs. Lam and Weikle)

Followed by

Faculty Flash Talks (Everyone)

Join us for an overview of computer science research followed by 5-minute flash talks giving you an overview of ongoing research within the JMU CS department. Whether you are looking to get into research or just interested in learning more, you are welcome!