Visit Clemson University’s booth at the Supercomputing 18 conference

Ryan Real, Director of Communications
Thursday, November 8, 2018

Clemson University will be attending this year’s Supercomputing ’18, being held in Dallas, Texas, November 11-16. SC is attended by experts in high performance computing, networking, storage and analysis from academia and industry, and by researchers using large-scale computing to solve problems in various domains in science, engineering, art and humanities.

The Clemson University Exhibition Booth at Booth #227 will showcase the Clemson research community’s activities and visions involving large-scale computing, big data analytics, and scientific visualization across all areas in science, engineering, and humanities at Clemson. See the below table for a list of presentations, and stop by the booth for an exact schedule.

While at the booth, grab a limited-edition #ClemsonSC18 sticker and take a picture with our stuffed tiger! One lucky visitor who tweets their picture with the #ClemsonSC18 hashtag will win the tiger to take home.

Clemson SC18 Presentations

Presenter	Presentation
Siddhant Aggarwal	GIS and Supercomputing: Applications in Live Streaming and Machine Learning
Jon Calhoun	Exploring the Feasibility of Lossy Compression for Scientific Simulations
Alex Feltus	How 21st Century Life Science Researchers Can Leverage National Cyberinfrastructure to Analyze Petabytes of Genomics Data
Rong Ge	Power Bounded Computing: Opportunities, Challenges and Technologies
Jill Gemmill	Cybersecurity Training for Principal Investigators
Mariia Karabin	Using Thrill to Process Scientific Data on HPC
Sami Mohammed	Development of High-Resolution Storm Surge Hazard Database for the United States
Nathan Newsome Hudson Smith	Exploring and Understanding Vast Quantities of Text Using Artificial Intelligence and Virtual Reality
Alexandra Poulos	Improving Application Resilience by Extending Error Correction with Contextual Information
Tim Ransom	Predicting Manycore Performance on Knights Landing Using Machine Learning
Matthew Saltzman	A High-Performance Exact Solver for the Quadratic Assignment Problem
Ulf Schiller	Large-scale Simulations of Blood Flow in Brain Aneurysms: High Performance Computing for Personalized Medicine
Ruslan Shaydulin	Community Detection Across Emerging Quantum Architectures
Melissa Smith	Scalable Execution Patterns for Bioinformatics Workflows on GPU Clusters
Ashwin Srinath	The Advanced Cyberinfrastructure Research and Education Facilitators (ACI-REF) Project: Success Stories
Justin Sybrandt	Text Mining for Scientific Discovery
Mehrdad Yousefi	3D Immersive Scientific Visualization
Pengfei Zou	Contention Aware Workload and Resource Co-Scheduling on Power-Bounded Systems