You are here

Home

EduHPC 2025 Technical Program

EduHPC-25 Technical Program

Sunday, November 16, 2025

Location: Room 261

St Louis, MO

Link back to CFP

 

Time*
Event
Presenters
9:00 - 9:05

Chair Welcome

EduHPC-25: 13th Workshop on Education for High Performance Computing (ppt)

9:05 - 9:50

Paper Session 1: HPC in Classes

  • Hybrid GPU Programming Education with Python and C++: Preferences, Performance and Common Python Pitfalls (Link to paper) (ppt)
    Lena Oden
  • An Interactive Agentic HPC Tutor for Lesson Planning, Teaching, and Assessment (ppt)
    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 (Link to paper) (ppt)
    Vivek Kumar
9:50 - 10:00

Paper Session 1 Q&A

 

10:00 - 10:30
SC Morning Break
 
10:30 - 11:15

Paper Session 2: Teaching AI/ML at Scale

 

  • GPU Programming for AI Workflow Development on AWS SageMaker: An Instructional Approach (Best Paper) (Link to paper) (ppt)
    Sriram Srinivasan, Hamdan Alabsi, Rand Obeidat, Nithisha Ponnala, Azene Zenebe
  • The Cost of Teaching Operational ML (Link to paper) (ppt)
    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 (Link to paper) (ppt)
    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
11:15 - 11.30

Paper Session 2 Q&A

 
11:30 - 11.35

Peachy Introduction

David Bunde

11:35 - 11:50

Peachy Lightning Talks

  • Softmax for Efficient Attention: Parallel and Distributed Strategies (ppt)
    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
Link to paper
11:50 - 12:00

Peachy Q&A

 

12:00 - 12:30

TCPP Curriculum Initiative (CDER)

Sushil Prasad and R. Vaidyanathan (ppt)

12:30 - 14:00
EduHPC Lunch Break
 
14:00 - 15:00

Invited Talk

   Title: Educating Students and Professionals in the AI Era

    Dhabaleswar K. (DK) Panda

     The Ohio State University

Abstract: The field of AI (including Machine Learning (ML), Deep Learning (DL), Big Data, and Data Science) are rapidly evolving. The effective development and usage of many AI models and the associated inference schemes depend on a good understanding of the underlying HPC hardware and software technologies. Thus, it is becoming a challenge for students and professionals to have a holistic understanding of this new field. In this context, I will share experiences from the following four initiatives in which I am engaged with: 1) A semester long course on `High-Performance Deep/Machine Learning’ for combined undergraduate and graduate students at the Ohio State University; 2) A two series 14-week course (developed through an NSF funding) on 'AI Bootcamp for Cyberinfrastructure Professionals' working in many different HPC centers; 3) A Half-day/full-day conference tutorial on “Principles and Practice of High-Performance Deep/Machine Learning”, and 4) Nurturing Next-Gen students for democratizing AI through the NSF-funded ICICLE (icicle.ai) Institute. An overview of these initiatives and the associated approaches will be presented.

Speaker Bio: DK Panda is a Professor and University Distinguished Scholar of Computer Science and Engineering at the Ohio State University. He is serving as the Director of the ICICLE NSF-AI Institute (https://icicle.ai). He has published over 500 papers. The MVAPICH MPI libraries, designed and developed by his research group (http://mvapich.cse.ohio-state.edu), are currently being used by more than 3,400 organizations worldwide (in 92 countries). More than 1.83 million downloads of this software have taken place from the project's site. This software is empowering many clusters in the TOP500 list. High-performance and scalable solutions for Deep Learning frameworks and Machine Learning applications from his group are available from https://hidl.cse.ohio-state.edu. Similarly, scalable, and high-performance solutions for Big Data and Data science frameworks are available from https://hibd.cse.ohio-state.edu. Prof. Panda is an IEEE Fellow. He is a recipient of the 2022 IEEE Charles Babbage Award and the 2024 IEEE TCPP Outstanding Service and Contributions Award. More details about Prof. Panda are available at http://www.cse.ohio-state.edu/~panda.

15:00 - 15:30
SC Afternoon Break
 
15:30 - 16:15

Paper Session 3: Different Educational Models for HPC

 

  • Microcredentials for Open Hardware and HPC Workforce Development: The Openchip Approach with RISC-V Ecosystem (Link to paper) (ppt)
    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 (Link to paper)
    Anita Esmaeilian, Kishwar Ahmed
  • “Offloading” Undergraduate Research to the Graphics Processing Unit for Acceleration (Link to paper) (ppt)
    Bryant Wyatt, Mason Bane
16:15 - 16:30

Paper Session 3 Q&A

 
16:30 - 16:50

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) (ppt)
    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) (ppt)
    Pedro Ramonetti, llkay Altintas, Melissa Floca, Kate O'laughlin, Amarnath Gupta, Manish Parashar
16:50 - 17:00

Lightning Talk Q&A

 
17:00 - 17:15

General Announcements

 
17:15 - 17:30

Chair Closedown