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EduHPC-23 Technical Program

EduHPC-23 Technical Program

Monday, November 13, 2023

Link back to CFP

Room 506, Colorado Convention Center, Denver, CO

 

Time*
Event
Presenters
1:30 pm

Welcome

Sushil Prasad, UTSA, Apan Qasem, TXST (PPT)

1:35 pm

Opening Invited Talk

 

Educating  Post Exascale HPC Leaders

Kathy Yelick

Robert S. Pepper Distinguished Professor of Electrical Engineering and Computer Sciences and Vice Chancellor for Research at University of California Berkeley

The first generation of exascale computing systems is coming online along with new application capabilities and system software. At the same time, demands for high performance computing continue to grow for more powerful simulations, adoption of machine learning methods, and huge data analysis problems arising from new instruments and increasingly ubiquitous devices. In its broadest sense, computational science research is expanding beyond physical and life sciences into social sciences, public policy, and even the humanities.

Concurrent with these trends, chip technology is facing scaling limits, making it increasingly difficult to meet these new demands. Disruptions in the computing marketplace, which include supply chain limitations, a shrinking set of system integrators, and the growing influence of cloud providers are changing underlying assumptions about how to acquire and deploy future supercomputers. At the same time, there are discussions around the role of AI/ML and quantum computing.

How do we educate students for a post-Exascale world? A finite set of computational motifs represent much of the parallel computing workload in modeling and simulation. Should the HPC community focus on those or should they be expanded to include data analytics and machine learning approaches? Finally, what are the workforce needs for the future of high end computing?

2:15 pm

Paper Session 1: Pedagogical Techniques for PDC

Alan Sussman, Univ. of Maryland

8 minutes per talk; 12 minutes panel Q&A

Teaching Heterogeneous and Parallel Computing with Google Colab and Raspberry Pi Clusters (PPT Link)

Zhiguang Xu

Infrastructure for Writing Fork-Join Tests (PPT Link)

Prasun Dewan

Data-Driven Discovery of Anchor Points for PDC Content, (PPT Link)

Matthew McQuaigue, Erik Saule, Kalpathi Subramanian and Jamie Payton

AutoLearn: Learning in the Edge to Cloud Continuum, (PPT Link)

Alicia Esquivel Morel, William Fowler, Kate Keahey, Kyle Zheng, Michael Sherman and Richard Anderson

3:00 pm
Afternoon Coffee Break
 
3:30 pm

Lightning Talks

George K. Thiruvathukal, Loyola University Chicago

3 minutes per talk; 8 minutes panel Q&A

Next Generation Pathways to Computing: Bridging the Diversity Gap in High-Performance Computing Education,

Melton, Melesse, Vergara, Parete-Koon

Training Experiences by Skills for HPC Ecosystems,

Barrios Hernandez, Diaz

Teaching Non-determinism in High Performance Applications,

Marquez, Bogale, Pandey, Tan, Whitnah, Bhowmick, Taufer

Machine Learning Movie Night: A Pilot Machine Learning Course for High-School Students,

Jaffe

The World's Worst Optical NIC,

Ellsworth

Composable HPC Curricula: Embracing the UNIX Development Paradigm and Leveraging Core Practices from Linux Kernel Development in HPC Training Material Development,

Alexander

Adding Sustainability to Parallel Programming Assignments,

Elster

4:00 pm

Paper Session 2: Experience Reports

Charles Weems, UMass Amherst

8 minutes per talk; 12 minutes panel Q&A

The Wide Area Classroom: 24,000 HPC Students and Growing, (PPT Link)

Valerie Rossi, John Urbanic and Thomas Maiden

Faculty Development Workshops for Integrating PDC in Early Undergraduate Curricula: An Experience Report,

David Brown, Sheikh Ghafoor, Mike Rogers and Ada Haynes (PPT Link)

An NSF REU Site Based on Trust and Reproducibility of Intelligent Computation: Experience Report (PPT Link)

Mary Hall, Ganesh Gopalakrishnan, Eric Eide, Johanna Cohoon, Jeff M. Phillips, Mu Zhang, Shireen Y. Elhabianm, Aditya Bhaskara, Harvey Dam, Artem Yadrov, Tushar Kataria, Amir Mohammad Tavakkoli, Sameeran Joshi and Mokshagna Sai Teja Karanam

Performance Engineering for Graduate Students: a View from Amsterdam, (PPT Link)

Ana Lucia Varbanescu and Stephen Nicholas Swatman

4:45 pm

Peachy Parallel Assignments

David Bunde, Knox College

4 minutes per talk; 5 minutes panel Q&A

Using MPI For Distributed Hyper-Parameter Optimization And Uncertainty Evaluation,

Pantoja, Pautsch, Li, Rizzi, Thiruvathukal

1D Heat Equation in Chapel,

Corrado

k-Nearest Neighbor with Map Reduce MPI,

Saule

Parallelizing a 1-Dim Nagel-Schreckenberg Traffic,

van Zon, Ponce

Program Your Favorite Data Science Pipeline in Spark,

Bücker, Plesske, Schoder, Weber

K-means clustering: An assignment for OpenMP, MPI, and CUDA/OpenCL,

García-Álvarez, Gonzalez-Escribano

Peachy Parallel Assignments

Peachy PPT Link

5:15 pm

Mark Your Calendar: CDER Announcements

 
5:25 pm

Closing

Apan Qasem , TXST