First Workshop on the Convergence of Large Scale Simulation and Artificial Intelligence

First Workshop on the Convergence of Large Scale Simulation and Artificial Intelligence

June 28, 9am-1pm, Frankfurt Germany

in conjunction with ISC High Performance 2018

In 2016, an artificial intelligence (AI) named AlphaGo became the first machine to beat a human 9-dan professional Go player on a full-sized board. Since then, AI has proven its potential to revolutionize our social life, how we live, work, learn, discover, and communicate. But does AI also have the potential to fundamentally change how we do science? The recent stream of publications suggests it may, but there is still much work to be done before AI can enter the day-to-day toolbox of scientists.

This workshop will discuss ways that Deep Learning and Artificial Intelligence can be combined with traditional large scale simulations to accelerate the pace of scientific discovery from High Energy Physics to Life Sciences and Healthcare. The traditional paradigm uses large scale simulation at the core, where data analytics are used for pre- and post processing of the data. In the new paradigm, AI and large scale simulation will be applied on a more cooperative basis where the strengths of each converge to form a powerful new tool for science. In this workshop we will discuss both paradigms, traditional and new, but put a focus on the new paradigm.


Agenda 1st Workshop on Convergence of Large Scale Simulation and Artificial Intelligence

Time : Thursday, June 28th 9am - 1pm

Location : Gold 3

09:00 – 09:10 am Welcome and Introduction (Christoph Angerer / Axel Koehler , NVIDIA)

09:10 – 09:45 am (invited) Convergence of HPC and AI (Tom Gibbs, NVIDIA), Slides

09:45 – 10:10 am Data-parallel Training of Generative Adversarial Networks for HPC Systems (Sofia Vallecorsa, CERN), Slides

10:10 – 10:35 am AI and traditional HPC workloads: a happy couple? (Caspar van Leeuwen, SurfSara), Slides

10:35 – 11:00 am Combining Reinforcement Learning and Simulation in Quantum Control (Moritz August, Technical University of Munich), Slides

11:00 – 11:30 am Break

11:30 – 11:55 am Towards prediction of turbulent flows at high Reynolds numbers using high performance computing data and deep learning (Mathis Bode, RWTH Aachen), Slides

11:55 – 12:20 pm (invited) Neural Networks in Weather and Climate Simulations (Christoph Angerer, NVIDIA)

12:20 – 12:45 pm Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis (Torsten Hoefler, ETH Zurich), Slides

12:45 - 01:00 pm Wrapping Up

01:00 pm End

Call for Contributions

We invite submissions of high-quality, novel, and original research results on applying artificial intelligence technologies to HPC applications, especially large scale simulations, and the following related topical areas:

  • AI*HPC Tools and Methodologies for the design, implementation, and verification of converged applications
  • Scaling AI for large scale simulations (training and inference)
  • Employing AI (ML/DL) for scientific computing applications (esp. large scale simulations, but also other areas are welcome)
  • Tools and methodologies for integrating AI into HPC applications
  • Use cases and success stories for converged applications

Submission Instructions

Extended abstracts should be mailed to the workshop organizers (cangerer@nvidia and by May 31, 2018. Extended abstracts should be 1-4 pages long and contain references, comparisons to related work, and results if applicable. Authors of selected abstracts will be invited to speak at the workshop and to submit full papers for publication in the ISC 2018 workshop proceedings with Springer. The proceedings will appear as post-conference workshop proceedings. The idea behind post-conference proceedings is that they give the authors the flexibility to adjust their contributions slightly based on the feedback given during the workshops.

Papers need to be formatted according to Springer's single column LNCS style (see for LaTeX and Word templates). Papers will need to be uploaded to EasyChair ( until the deadlines. For the conference-ready version only the PDF is needed, later either the LaTeX sources or Word document are required.

Important Deadlines

- Extended abstract submission deadline: 2018-05-31

- Acceptance Notification: 2018-06-11

- Conference-ready paper deadline: 2018-06-17

- Camera-ready paper deadline: 2018-07-29

Program Committee

Dr. Christoph Angerer, NVIDIA

Mr. Axel Köhler, NVIDIA

Dr. Jean-Roch Vlimant, California Institute of Technology

Dr. Christian Sigg, GOOGLE

Dr. Peter Dueben, ECMWF

Dr. Peter Messmer, NVIDIA