Talks and presentations

MLFlow while running on a SuperComputer with Matteo Bunino from CERN

July 18, 2024

Live stream, Online, Geneva, Switzerland

This live stream was organized by Diego Ciangottini (INFN) and showcased a demo on how to to employ interLink, a software component developed in the interTwin project, meant to enable cloud-HPC integration. Matteo showed how interLink can be used to offload to remote HPC resources compute-intensive AI workflows used in scientific applications, with a particular focus on maintaining consistent ML metadata across different computing infrastructures using MLFlow.

Reinforcement learning and its applications in particle accelerators at CERN

July 11, 2024

Lecture, CERN - IT Amphitheatre, Geneva, Switzerland

An hands-on crash course on Reinforcement Learning (RL) delivered to CERN openlab summer students, in the context of CERN openlab summer student lecture programme, with the goal of explaining the potential of RL and its real-world applications in particle accelerators at CERN. The course focused in particular on learning by doing, solving exercises together to better grasp the sometimes abstract concepts of RL.

Synergistically Integrating HPC and Cloud

May 14, 2024

Invited talk - Birds of a Feather, Congress Center Hamburg (CCH), Hamburg, Germany

This talk was given on the second day of the 2024’s ISC conference and was shared among experts from industry (Google, PGS) and academia (CERN, DFKI, RWTH), driving a discussion on current strategies of integrating cloud and HPC infrastructure, finetuning it on the needs of different user bases.

The interTwin project - Prototyping an interdisciplinary Digital Twin Engine

March 26, 2024

Technical Workshop, CERN - Science Gateway Auditorium C, Geneva, Switzerland

This talk was given on the first day of the 2024 CERN openlab Technical Workshop and concerned the introduction to interTwin, an EC-funded project focusing on developing a Digital Twins Engine (DTE) for scientific applications, with the goal of alleviating the engineering burden on the reresearchers, benefitting the scientific community.