Join us for a session that enhances your high-performance computing skills. Alums and friends of the program are always welcome.

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Title and Abstract

Research Computing Resources: HPC, VCL and Beyond

Are you working on research and running into the limitations of your desktop? Are you wondering what else is available? That’s the subject of this seminar! Operations Research and the
ISE department have resources available to you right now through the Virtual Computing Lab (VCL) and remote desktops. We’ll also have representatives from NC State’s High-Performance
Computing (HPC) cluster show you how to request access to and begin running your code on our world-class computing network. Finally, we’ll leave you with helpful resources to get started and the steps you’ll need to log in and use the Linux-based systems they run on.

During this seminar, we will be discussing the following topics:

• Scaling Up: How to know when your project needs more power.
• Available Tools: Navigating the Virtual Computing Lab (VCL) and remote desktops.
• HPC Live Demo: A guided walkthrough of NC State’s High-Performance Computing cluster.
• Student Case Studies: Learn how senior PhD students scale computational tools for their research.
• Expert Q&A: Direct access to HPC experts for your specific use cases.

Reach out to us with any questions and if you’d like to be granted access to the HPC to try the demo yourself or test your own examples.

Biographies

Justin Lancaster
As a 2004 graduate of NC State, Justin Lancaster returned to his Alma mater in 2007 as an employee of The College of Engineering. He specializes in systems administration and manages the ISE department’s day-to-day IT functions, including the IT and Design Center, research computing and endpoint management.

Andrew Petersen
Andrew Petersen is a Computer Scientist at NC State University High Performance Computing (HPC) and the Principal Investigator for a 2023–2025 NSF award focused on expanding campus GPU capacity for AI and data-intensive research. He leads university efforts to deploy local LLM services and scalable RAG infrastructure. Additionally, he is a lecturer for the Data Science & AI Academy, where he works to democratize large-scale analytics by deploying Apache Spark and MATLAB MPS for use across all academic disciplines.

Will Kirschenman
Will Kirschenman has served 15 years in the U.S. Army, first as an Engineer and now as an Operations Research / Systems Analyst (FA49). He is in his final year of the Operations Research (OR) Ph.D. program at NC State University and will subsequently join the OR department faculty at the Naval Postgraduate School in Monterey, California. His doctoral research focuses on multi-level prioritized packing for both general and military applications, developing efficient metaheuristic and matheuristic algorithms to solve these problems. He received his M.S. in Operations Research from George Mason University and his B.S. in mechanical engineering from the United States Military Academy at West Point. He and his wife have three children and enjoy fitness, the outdoors, and spending time together as a family.

Cameron Lisy
Cameron Lisy is a 6th year Ph.D. student who has experience with research applying linear programming to natural gas commodity market clearing. His primary tools are the open-source modeling library Pyomo, developed at Sandia National Laboratory, and Gurobi. He has made use of both the ISE VCL computing resources and written scripts to run many parallel instances of his model together on NC State’s high performance computing cluster.