Welcome and Introduction

• Maria Grazia Giuffreda (CSCS)
• Pablo Fernandez (CSCS)
• Michele De Lorenzi (CSCS)

AI for Climate Data Generation, Assimilation, and Modeling

• Torsten Hoefler (ETH Zurich)

This presentation explores the convergence of Artificial Intelligence (AI) and climate modeling for high-resolution (km-scale) climate prediction. We will discuss the use of accelerated km-scale simulations to generate synthetic climate data, enabling the training of even more sophisticated climate models. We'll delve into the integration of observational data from diverse sources – weather stations, satellites, and airborne platforms – through diffusion models, a technique commonly used for image generation. To address the exascale challenge posed by climate data volume, we will present an AI-based compression method utilizing deep neural networks for efficient data representation. This approach allows for near-lossless reconstruction of the original data for subsequent analysis. We posit that this synergistic approach, combining high-fidelity data generation with advanced data assimilation techniques, has the potential to significantly improve the accuracy of climate predictions. This, in turn, can inform policy decisions and guide societal responses to climate change.

Accelerating Access to Data and Research Collaborations through Trusted Research Environments (TREs)

• Jean-Louis Raisaro (CHUV)

An Overview of the "Alps" Research Infrastructure

• Maxime Martinasso (CSCS)

Generative DNNs at Unibas: imagination, expectations, and infrastructure

• Geoffrey Fucile (University of Basel)

We will discuss the landscape of use cases and potential solutions for generative deep neural networks applications in research, administrative processes, and teaching.

Benchmarking AlphaFold2 on the Euler Cluster

• Nadia Marounina (ETH Zurich)

AlphaFold2 (AF2) is an ML-based software that revolutionized the structural biology field by folding protein sequences in 3D structures with accuracy that, in some cases, reached the experimental one. Consequently, AF2 has become a very popular software on the ETH Euler cluster. It has users with IT levels ranging from beginner to expert trying to request resources to fold their own protein sequences. We have conducted a wide range of tests to derive clear guidelines for requesting resources on Euler for AF2, avoiding the waste of CPU and GPU resources. In this presentation I will showcase how we managed to satisfactorily accommodate AF2 usage both for the users and us as the HPC provider.

Community Development The session will be dedicated to: - Introducing Our New Community Members: Agroscope and Idiap Research Institute - Planning the hpc-ch forums for 2025

Introduction to UNICC

• Gabriel Galati (United Nations International Computing Centre)

The United Nations International Computing Centre (UNICC) has over 50 years of experience as the largest strategic partner for digital solutions and cybersecurity within the United Nations system. We design and deploy transformational digital tools and programmes to support over 90 partners in fulfilling their mandates. With our world-class Cybersecurity Centre of Excellence, data and analytics practice and an array of platform, software and infrastructure solutions, UNICC serves the entire of the UN family and other international organizations with similar missions and values for the benefit of the world. Join us in learning more about our continuous commitment to delivering innovative, forward-looking and reliable system-wide solutions in line with the UN Secretary-General’s Strategy on New Technologies, the UN Secretary-General’s Roadmap for Digital Cooperation and the Common Agenda.

Chief Data & AI

• Anusha Dandapani (United Nations International Computing Centre)

The UNICC AI Hub is committed to enhancing Predictive and Generative AI capabilities to support UN partners. By fostering strategic partnerships and adopting a cloud-first approach, UNICC aims to ensure robust data management, ethical compliance, and optimal model performance. This initiative addresses key technical challenges using High-Performance Computing (HPC), promoting a transparent and responsible AI governance framework. Join us in exploring how these advancements can drive impactful solutions for the UN community.

Guided Tour of CSCS Machine Room

Farewell and End of the Meeting