Bulldogs Team
Project Goal(s):
Target Course(s): CS425 Parallel Programming and Algorithms, CS457 Wireless and Mobile Security
- Integrating HPC with Cybersecurity, Cryptography, and Machine Learning to develop curriculums
- Identify applicable HPC resources from ORNL/wider HPC community and develop course descriptions
- Create and refine course schedules, hands-on labs, etc.
Team Members:
- Rui Zhu
Computer Science
Kettering University
Team Mentors:
- John Holmen
Oak Ridge National Laboratory
- Yvonne Phillips
Morehouse College
George Thorogood & The Destroyers - Bad To The Bone
CAMSA Team
Project Goal(s):
- This course is meant to students but also to faculty/staff beyond typical course environments (CSCI 5306)
- The main goal is to create a course that can be flexible in the time/duration from 1 to 16 weeks (1. Adding more training and modules, and 2: Produce customized modules to the different disciplines).
- The course will consist of lectures, practical hands-on homework assignments, and hands-on laboratory work where students will try to build their own scripts to be executed in the HPC environment.
Team Members:
- Izzat Alsmadi
Computing & Cybersecurity
Texas A&M, San Antonio
Team Mentors:
- Elijah MacCarthy
Oak Ridge National Laboratory
- Munene Kanampiu
Winston-Salem State University
Ballad of the Alamo - R.W. Hampton
Jarvis Bulldog Team
Project Goal(s):
- Redesigning MATH 3390: Computational and Mathematical Biology, using HPC Open Sources from Science Gateways.
- Building a website for MATH 3390: Computational and Mathematical Biology, using the HPC Open Sources.
- Piloting the redesigned course in Spring 2024.
- Conducting surveys and evaluations for the course.
Team Members:
- Widodo Samyono
Mathematics
Jarvis Christian University
Team Mentors:
- Jeaime Powell
Texas Advanced Computing Center
- Hector Santiago
Winston-Salem State University
Hey Bulldog - The Beatles
Team Altair
Project Goal(s): To add a module to an undergraduate Intro to Data Science course that demonstrates how to use Jupyter Notebooks in the cloud, with a large dataset, and if I can, GPUs to train an ML model that would not be possible to do without a GPU-enabled device. Outcomes would be an understanding of accessing cloud interfaces, basic terminal commands, an overview of the Jupyter notebook as both a local and cloud tool, and if possible, how to test if GPUs are being seen. Update: possibly using JetStream2.
Team Members:
- Bernadette Boscoe
Computer Science
Southern Oregon University
Team Mentors:
- Veronica Vergara
Oak Ridge National Laboratory
- Mohamed Elbakary
Elizabeth City State University
New Order - Thieves like us remix (1987)
Team Tech Tigers
Project Goal(s): Target Course: ECE 101 - Introduction to Electrical & Computer Engineering
- Expand the Introduction to Computers Module to include an introduction to High Performance Computing
- Introduce students to cloud services including GitHub and AWS
- Expand students’ understanding of the need for HPC professionals
Team Members:
- Andrew Overton
Computer Science & Computer Engineering
Jackson State University
- Jacqueline Jackson
Computer Science & Computer Engineering
Jackson State University
Team Mentors:
- Alfred Watkins
Morehouse College
- Fernanda Foertter
Voltron Data
Weird Science - OINGO BOINGO}
ThreatTracker
Project Site: https://shan-reddy.github.io/SGX3-Faculty-Hackathon-2023/Home.html
Team Members:
- Shan Reddy
Computer Science & Cybersecurity
University of North Carolina at Pembroke
Team Mentors:
- Hector Hernandez
Oak Ridge National Laboratory
- Yvonne Phillips
Morehouse College
Synesthesia - Alslyn