EduHPC 2025 Technical Program

Paper Session 1: HPC in Classes

• GPU Programming Education with Python and C++: Preferences, Performance and Common Python Pitfalls
  Lena Oden
• An Interactive Agentic HPC Tutor for Lesson Planning, Teaching, and Assessment
  Erik Pautsch, Mengjiao Han, Joseph A. Insley, Janet Knowles, Victor Mateevitsi, Silvio Rizzi, George K. Thiruvathukal
• Teaching Task-Based Parallel Programming with a Runtime Systems-Aware Perspective
  Vivek Kumar

Paper Session 1 Q&A

Paper Session 2: Teaching AI/ML at Scale

• GPU Programming for AI Workflow Development on AWS SageMaker: An Instructional Approach (Best Paper)
  Sriram Srinivasan, Hamdan Alabsi, Rand Obeidat, Nithisha Ponnala, Azene Zenebe
• The Cost of Teaching Operational ML
  Fraida Fund, Kate Keahey, Cody Hammock, Marc Richardson, Mark Powers, Michael Sherman
• A Model for Teaching Machine Learning, Deep Learning, and Research Computing to Domain Scientists on HPC Resources
  William J. Allen, Kelsey M. Beavers, Erik Ferlanti, Lorenzo Concia, Joshua Urrutia, Ernesto A. B. F. Lima, John M. Fonner, Felix Zuo, H. E. Duplechin Seymour, Ari B. Kahn, Joe Stubbs, Anagha Jamthe, Stephanie N. Baker, Tabish Khan, James P. Carson

Paper Session 2 Q&A

Peachy Introduction

David Bunde

Peachy Lightning Talks

• Softmax for Efficient Attention: Parallel and Distributed Strategies
  Maria Pantoja, Clara Almeida, David Guerrero-Pantoja, Cameron Maloney, Silvio Rizzi
• A Parallel Structured Grid Assignment with Visualization
  Elizabeth Shoop
• Flood simulation: An assignment for OpenMP, MPI, and CUDA/HIP/OpenCL
  Arturo Gonzalez-Escribano, Diego García-Álvarez

Peachy Q&A

TCPP Curriculum Initiative (CDER)

Sushil Prasad and R. Vaidyanathan

Invited Talk

Nancy Amato

Paper Session 3: Different Educational Models for HPC

• Microcredentials for Open Hardware and HPC Workforce Development: The Openchip Approach with RISC-V Ecosystem
  Kateryna Bondar, Xavier Aragonés, Jordi Carrabina, Elly De Pelecijn, Antonio Miguel Espinosa, José Ignacio Gómez, Francesc Guim, Tomàs Margalef, Juan Carlos Moure, Luís Piñuel, Patrick Reynaert, Ivan Rodero
• From Soil to Software: Experience from a STEM Workshop on Smart Plant Care and Teachable Machines
  Anita Esmaeilian, Kishwar Ahmed
• “Offloading” Undergraduate Research to the Graphics Processing Unit for Acceleration
  Bryant Wyatt, Mason Bane

Paper Session 3 Q&A

Lightning Talks

• A GPU-Accelerated RAG-Based Telegram Assistant for Supporting Parallel Processing Students (Link to paper)
  Guy Tel-Zur
• From CPU to GPU: Transforming Data Science Education with Parallelism (Link to paper)
  Sriram Srinivasan, Hamdan Alabsi, Rand Obeidat, Nithisha Ponnala, Azene Zenebe
• Toward Practical HPC Education with MCJ-CloudHub (Link to paper)
  Kazuichi Oe, Tomoya Saito, Tomoya Tanjo, Jun Nishii, Koichi Okada, Keigo Yabuki, Takahiro Tamesue, Yue Wang, Atsuko Takefusa
• National Data Platform's Education Hub (Link to paper)
  Pedro Ramonetti, llkay Altintas, Melissa Floca, Kate O'laughlin, Amarnath Gupta, Manish Parashar

Lightning Talk Q&A

General Announcements

Chair Closedown