Session
MS4B - Machine Learning Support for the Lifetime of Software (ML4SW)
Session Chairs
Event TypeMinisymposium
Computational Methods and Applied Mathematics
TimeTuesday, June 416:00 - 18:00 CEST
LocationHG F 3
DescriptionScientific simulations running on High Performance Computing (HPC) systems play a critical role
in advancing science and engineering. The HPC community stands to gain significantly by applying
cutting edge AI technologies, such as Large Language Models (LLMs), Deep Neural Networks
(DNNs), or Transformers, in various aspects of scientific software development and execution. The Machine Learning Support for The Lifetime of Software (ML4SW) minisymposium aims to establish a platform where scientists, developers, and system programmers can come together to exchange ideas and explore how artificial intelligence can help in the effective use of future systems as well as how Scientific Machine Learning can be scaled on HPC systems.
in advancing science and engineering. The HPC community stands to gain significantly by applying
cutting edge AI technologies, such as Large Language Models (LLMs), Deep Neural Networks
(DNNs), or Transformers, in various aspects of scientific software development and execution. The Machine Learning Support for The Lifetime of Software (ML4SW) minisymposium aims to establish a platform where scientists, developers, and system programmers can come together to exchange ideas and explore how artificial intelligence can help in the effective use of future systems as well as how Scientific Machine Learning can be scaled on HPC systems.
Presentations
| 16:00 - 16:30 CEST | Machine Learning for Performance Engineering Across Applications | |
| 16:30 - 17:00 CEST | Large Language Models for Parallel and HPC Code | |
| 17:00 - 17:30 CEST | High Performance Kernel Code Generation Using Generative AI | |
| 17:30 - 18:00 CEST | Learning to Predict and Improve Build Successes in Package Ecosystems Using Graph Neural Networks |