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More HPC Workshops

Build Your Skills with HPC Trainings and Workshops

Do you need some training so you can use the ICDS-ACI systems more effectively? Or, maybe you’re just interested in learning more about HPC? Browse the list below, which includes both

  • Training sessions offered by ICDS
  • Other learning opportunities

You’ll find informative HPC workshops on topics like optimizing your code, programming in parallel, using specific software applications, and more. Many of the options listed here are free and/or on-demand.

How to Make AI Work

Date: Monday, October 28

Time: 2:00 p.m.

Location: Flex Theater, HUB-Robeson Center

Artificial intelligence (AI) is often claimed to have the promise of transforming and possibly taking over our society. But there seems to be little understanding of how it really works or its current limitations. Join us online (Zoom) or in person to learn more about the most popular and useful AI methodology, machine learning. Dr. Lee Giles, the David Reese Professor at the College of Information Sciences and Technology at Penn State, will discuss what a machine learning problem is and what it can do, as well as introduce a new machine learning model, deep learning. In an effort to provide context to artificial intelligence's power and limitations, the talk will highlight the basics of implementing AI into actual problems. It will also dive into the different classes and memory models of deep learning. Register now About the Presenter: Dr. C. Lee Giles is the David Reese Professor at the College of Information Sciences and Technology at the Penn State. His current research interests are in intelligent information processing systems. He is also graduate professor of computer science and engineering, courtesy professor of supply chain and information systems, and director of the intelligent systems research laboratory. He recently became a teaching and learning technology fellow and the interim associate dean of research for IST. He directs the Next Generation CiteSeer, CiteSeerx project and codirects the ChemXSeer project at Penn State. He has been associated with Columbia University, the University of Maryland, University of Pennsylvania, Princeton University, and the University of Trento. He is Fellow of the ACM, IEEE and the International Neural Network Society (INNS). He received the INNS Dennis Gabor Award for outstanding achievements in neural engineering and the IEEE Computational Intelligence Society's Pioneer Award in Neural Networks.

This event is being sponsored by ICS, Nittany AI Alliance, and Penn State IT. A separate event tailored toward undergraduate students will take place in the evening on Oct. 28. Students can register for that event using the "Register now" link above.  

XSEDE HPC Workshop: OpenMP

Date: Tuesday, November 5–Tuesday, November 5

Time: 11:00 a.m.–5:00 p.m.

XSEDE along with the Pittsburgh Supercomputing Center are pleased to announce a one day OpenMP workshop. This workshop is intended to give C and Fortran programmers a hands-on introduction to OpenMP programming. Attendees will leave with a working knowledge of how to write scalable codes using OpenMP. This event will be presented using the Wide Area Classroom(WAC) training platform.

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ACI Training Series Logo

Intermediate HPC training for ICS-ACI users

Date: Wednesday, November 6

Time: 10:00 a.m.–11:30 a.m.

Location: W203 Millennium Science Complex

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extreme science and engineering discovery workshop series at psu ics

Big Data Workshop on XSEDE

Date: Tuesday, December 3–Wednesday, December 4

Time: 11:00 a.m.–5:00 p.m.

Location: 424 Ag Administration Building

Learn how to conduct big data analyses on the XSEDE platform. The two-day workshop will include sessions on Spark, Hadoop, Machine Learning, Deep Learning, and Bridges. This session is being presented by the Pittsburgh Supercomputing Center, and is being broadcast to the University Park campus using the Wide Area Classroom (WAC) training platform. Registration Deadline: Friday, Nov. 29, at Noon

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PEARC 2020

Date: Sunday, July 26–Thursday, July 30

Location: Portland, OR

The Practice and Experience in Advanced Research Computing (PEARC) Conference Series is a community-driven effort built on the successes of the past, with the aim to grow and be more inclusive by involving additional local, regional, national, and international cyberinfrastructure and research computing partners spanning academia, government and industry. The PEARC Conference Series is working to integrate and meet the collective interests of our growing community by providing a forum for discussing challenges, opportunities and solutions among the broad range of participants in the research computing community. The PEARC Conferences are organized by a group of dedicated volunteers from the community and are sponsored by the Association for Computing Machinery (ACM), the world’s largest educational and scientific computing society.

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