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