2022 ALCF Simulation, Data, and Learning Workshop

2022 SDLWksp Graphic

The ALCF's annual Simulation, Data, and Learning Workshop will be held virtually October 4-6, 2022. The interactive workshop is aimed at researchers with near-term goals of applying for a major allocation award.

The ALCF's Simulation, Data, and Learning Workshop is designed to help researchers improve the performance and productivity of simulation, data science, and machine learning applications on ALCF systems.

The attendees will get access to ALCF’s new Polaris system, an HPE Apollo Gen10+ machine equipped with NVIDIA A100 Tensor Core GPUs and AMD EPYC processors.

Workshop participants will have the opportunity to:

  • Use Polaris to get a head start on preparing codes for exascale systems
  • Work directly with ALCF staff experts during dedicated hands-on sessions
  • Learn how to use available tools and frameworks to improve productivity
  • Test and debug codes with exclusive system reservations on ALCF computing resources, including Polaris
  • Get assistance with Director's Discretionary projects to help prepare for a major allocation award
  • Improve application performance for current ALCF projects
  • Plan ahead for 2023-2024 allocation proposal submissions


Note: Registrants will be reviewed for experience level and will be asked to provide goals for attending.

If you have any questions, please contact us at sdl-workshop@alcf.anl.gov


Day 1
Tuesday, October 4


(Most sessions include a hands-on component)


10:00 - 10:10am (CST)


Mike Papka (Deputy Associate Laboratory Director/Director, ALCF)

10:10-10:20am (CST)

Intro to SDL Workshop 

Yasaman Ghadar, ANL

10:20-11:05am (CST)

Getting Started on ALCF Systems (Slides, Video)

Adrian Pope, ANL

11:05-11:15am (CST)



11:15-12:00pm (CST)

Programming Models on Polaris (Slides, GitHub, Video)

Colleen Bertoni, Abhishek Bagusetty, Brian Homerding, ANL

12:00-1:00pm (CST)

Lunch Break 


1:00-1:40pm (CST)

Application Case Study (Slides, Video)

Riccardo Balin, Steven Rangel, ANL

1:40-1:50pm (CST)



1:50-2:50pm (CST)

NVIDIA Profiling Tools (Slides, Video)

Kristopher Keipert, Oded Green , NVIDIA

2:50-4:00pm (CST)

Programming Models Breakout Room

Running and Compiling Breakout Room

NVIDIA Tools Breakout Room


Day 2, Wednesday, October 5



10:00-10:30am (CST)

Deep Learning Frameworks (GitHub, Video)

Corey Adams, Nathan Nichols, ANL

10:30-10:40am (CST)



10:40-11:40pm (CST)

Distributed Deep Learning (GitHub, Video)

Huihuo Zheng, Denis Boyda, ANL

11:40-12:40pm (CST)

Lunch Break


12:40-1:30pm (CST)

Building Data Pipelines (GitHub, Video)

Taylor Childers, ANL

1:30-2:10pm (CST)

Profiling Deep Learning (GitHub, Video)

Corey Adams, Filippo Simini, Shivam Barwey, ANL

2:10-2:20pm (CST)



2:20-3:00pm (CST)

Hyperparameter Management (SlidesGitHub, Video)


Sam Foreman, Aditya Tanikanti, ANL

3:00-4:00pm (CST)

Breakout Rooms for Deep Learning 


Day 3
Thursday, October 6



10:00-11:00am (CST)

Overview of AI Testbeds at Argonne (Slides, Video)

Murali Emani, Sid Raskar, Zhen Xie, ANL

11:00-11:10am (CST)



11:10-12:00pm (CST)

Workflows and High-Throughput Computing (Slides, Video)

Tom Uram, Kyle Chard, Christine Simpson, ANL

12:00-1:00pm (CST)

Lunch Break


1:00-1:30pm (CST)

Integrating Al and Simulations (Slides, GitHub, Video)

Riccardo Balin, Saumil Patel, Filippo Simili, Bethany Lusch, ANL 

1:30-2:00pm (CST)

Aurora Overview (Slides, Video)

Colleen Bertoni, ANL

2:00-2:10pm (CST)



2:10-2:30pm (CST)

ALCF Allocation Programs (Slides, Video)

Katherine Riley, Director of Science, ANL 

2:30-2:40pm (CST)

Closing Remarks and Wrap-Up

Yasaman Ghadar, ANL

2:40-4:00pm (CST)

AI Testbeds Breakout Room

Simulation Breakout Room

Workflow Breakout Room