UTEP Machine Learning Miniseries
Leveraging the Texas Advanced Computing Center
The Applied AI Innovation Institute (AAII), Research & Innovation (R&I), and the Texas Advanced Computing Center (TACC) Life Sciences Group invite faculty, researchers, and graduate students to explore the transformative potential of Machine Learning (ML) powered by High Performance Computing (HPC).
This miniseries is designed to provide hands-on experience and foundational knowledge for integrating ML techniques into research workflows using TACC’s cutting-edge infrastructure.
Who Should Attend
- Faculty, researchers, and graduate students across disciplines who are interested in applying Machine Learning to enhance their research.
- Anyone seeking to leverage HPC resources to accelerate data analysis, modeling, and AI-driven discovery.
What You’ll Learn
- How to request and gain access to TACC’s supercomputing resources.
- Practical programming skills in Python tailored for ML applications.
- Key concepts and advanced techniques in Machine Learning, including supervised, unsupervised, and deep learning.
- How to utilize GPU acceleration on TACC’s AI-optimized Vista Supercomputer.
Workshop Sessions
- Session 1: TACC Overview & Python Essentials
Learn how to submit proposals for TACC access, explore the hardware architecture, and get started with Python programming for scientific computing.
- Session 2: Introduction to AI, ML & Supervised Learning
Understand the fundamentals of AI and ML, explore core supervised learning algorithms, and gain hands-on experience in training and evaluating models.
- Session 3: Unsupervised Learning & Deep Learning
Dive into data preprocessing, dimensionality reduction, and clustering techniques. Explore neural networks and deep learning workflows.
- Session 4: CNNs & GPU Acceleration on TACC
Build and train Convolutional Neural Networks (CNNs) using GPU resources and learn how to optimize performance on TACC’s Vista system.
Registration
- Registration opens a few weeks before the series begins. To express interest or receive updates, please contact us at aaii@utep.edu or researchdev@utep.edu
Empowering Research with AI
Hands-On Machine Learning & High Performance Computing at UTEP
Research & Innovation (R&I) and the Applied AI Innovation Institute (AAII) invite UTEP faculty and their research students to a four-part, hands-on workshop series designed to explore how Artificial Intelligence (AI) and High-Performance Computing (HPC) can elevate research across disciplines.
Participants will gain practical experience using UTEP’s advanced computing infrastructure, including the NVIDIA GDX system powered by Hopper GPUs, while developing foundational skills in Machine Learning and Deep Learning.
Who Should Attend
- UTEP faculty from any academic discipline.
- Faculty-invited students are interested in learning foundational AI skills.
- Beginners and those new to AI or HPC are encouraged to join.
What You’ll Learn
- How to connect to and run AI workloads on UTEP’s GPU cluster.
- Build a strong foundation in ML concepts, workflows, and terminology.
- Engage in guided exercises to develop, train, and evaluate ML models.
- Discover how high-performance GPUs accelerate AI experimentation and model development.
Workshop Sessions
- Session 1: Introduction to NVIDIA GDX and Workload Scheduling
Get started with HPC access and learn how to manage and schedule AI workloads efficiently.
- Session 2: Custom Environments and Notebooks
Create tailored computing environments and use Jupyter notebooks for interactive AI development.
- Session 3: Machine Learning and Development Libraries
Hands-on experience with ML libraries to build models aligned with your research goals.
- Session 4: User Presentations and Real Use Cases
Present your progress, test your own data or code, and receive feedback from peers and facilitators.
Registration
- Registration opens a few weeks before the series begins. To express interest or receive updates, please contact us at aaii@utep.edu or researchdev@utep.edu
