Events at SC23

HPRC was present at SC23! Below are the events and presentations we were involved with.

Events

Saturday, November 11, 2023

Teach the Teacher Workshop
Date: November 11
Time: 10-4 PM
Location: Colorado Convention Center (Room 201)

Sunday, November 12, 2023

Metrics Conference Presentation “Assessing the Impact of a CyberTraining Project: Expanding the Metrics
Date: November 12
Time: 1:45-2:45 PM

Monday, November 13, 2023

Richard's Lightning Talk
Date: November 13
Time: 11:55 AM

Tuesday, November 14, 2023

Presentation at Dell Booth(#625) - Lisa Perez & David Schmidt (Dell)
Date: November 14
Time: 4-4:15 PM

OOD Booth Talk - Dhruv & Marinus
Date: November 14
Time: 4-45 PM

Siliconangle theCUBE - the CUBE Booth 997 - Lisa Perez and David Schmidt (Dell)
Date: November 14
Time: 5:30-6 PM

Thursday, November 16, 2023

SC'23 BoF: Advanced Architecture "Playgrounds" - Past Lessons and Future Accesses of Testbeds
Date: November 16
Time: 12:15 PM

Posters

Going Against The Flow: Design Principles For Insertion And Diffusion Of Anions In Periodic Solids
Jingxiang Cheng, Alice Giem, Wasif Zaheer, George Agbeworvi, Sarbajit Banerjee
Department of Chemistry and Department of Materials Science and Engineering, Texas A&M University

Graph Domain Adaptation via Theory-Grounded Spectral Regularization
Yuning You1, Tianlong Chen2, Zhangyang Wang2, Yang Shen1
1. Texas A&M University
2. University of Texas at Austin

Noncoding variant effect prediction using genome sequence and chromatin structure
Wuwei Tan, Yang Shen
Department of Electrical & Computer Engineering, Texas A&M University

DFT Raman calculation on mixtures of Ti2NTx Nitride MXene
Hao-En Lai, Perla Balbuena
Department of Chemical Engineering, Texas A&M University

The Challenges of Simulating The Near-Field Flow For Sonic Boom Prediction
Justin Schoppe, Dr. Paul Cizmas
Texas A&M Engineering Experiment Station

Multi-dimensional Modeling of Laser-induced Non-equilibrium Plasma
Sagar Pokharel, Albina Tropina
Department of Aerospace Engineering, Texas A&M University

DP-OPT: Make Large Language Model Your Differentially-Private Prompt Engineer
Junyuan Hong1, Jiachen Wang2, Chenhui Zhang3, Zhangheng Li1, Bo Li4, Zhangyang Wang1
1. University of Texas at Austin
2. Princeton University
3. Massachusetts Institute of Technology
4. University of Chicago

CiSE-ProS: Cyberinfrastructure Security Education for Professionals and Students
Dhruva Chakravorty, Jinsil Seo, Richard Lawrence, Zhenhua He, and Sandra Nite
High Performance Research Computing, Texas A&M University

K12 Teacher Outreach
Sandra Nite, Yeping Li, Dhruva Chakravorty, Lisa Perez, Richard Lawrence, Zhenhua He
High Performance Research Computing, Texas A&M University

Accelerating Computing for Emerging Sciences: ACES
High Performance Research Computing, Texas A&M University

Empowering Learning and Outreach: HPRC Training Programs
High Performance Research Computing, Texas A&M University

Computing Resources at High Performance Research Computing
High Performance Research Computing, Texas A&M University

Ticket Automation for High Performance Computing Centers
Keegan Smith
High Performance Research Computing, Texas A&M University

Selected Research Publications 2023: Abstracts
High Performance Research Computing, Texas A&M University

CryoSPARC and TensorBoard Interactive Applications on the ACES Open OnDemand Portal
Michael Dickens, T. Mark Huang, Lisa Perez, Honggao Liu
High Performance Research Computing, Texas A&M University

Extending Functionalities For Open OnDemand
Duy Pham, Jayashree Mallipudi, Marinus Pennings, Richard Lawrence, Dhruva K. Chakravorty, Honggao Liu
High Performance Research Computing, Texas A&M University

Benchmarking GPUs on Composable Infrastructure with Scaling of Large Simulations
Richard Lawrence, Sambit Mishra
High Performance Research Computing, Texas A&M University

Performance of Distributed Deep Learning Workloads on a Composable Cyberinfrastructure
Zhenhua He, Aditi Saluja, Druva K. Gunda, Akhil R. Chilumuru, Richard Lawrence, Dhruva K. Chakravorty, Francis Dang, Lisa M. Perez, Honggao Liu
High Performance Research Computing, Texas A&M University

Porting AI/ML Models to Intelligence Processing Units (IPUs)
Abhinand S. Nasari, Lujun Zhai, Zhenhua He, Hieu T. Le, Druva K. Gunda, Akhil R. Chilumuru, Jian Tao, Suxia Cui, Dhruva K. Chakravorty, Lisa M. Perez, Honggao Liu
High Performance Research Computing, Texas A&M University

Summer Computing Academy
Dhruva K. Chakravorty, Sandra B. Nite, Marinus Pennings, Richard Lawrence, Zhenhua He, Lisa M. Perez, Wesley A. Brashear, Honggao Liu, Duy Pham, Akhil R. Chilumuru, Druva K. Gunda, Jayashree Mallipudi, Tanishq Dayma
High Performance Research Computing, Texas A&M University

Slides

Team Gig'Em Bytes
Mason (John) Ammon, Victoria Chen, Riley Bemis, Nikki Verma, Dylan Garcia, and Samuel Nerad
Texas A&M University

Videos

Computational Fluid Dynamics Analysis of Hypersonic Particles
Prithvi Ramesh
Texas A&M University