4 citations · 4 across the 3 of their papers we have counts for
3 papers
An Engineering Journey Training Large Language Models at Scale on Alps: The Apertus Experience
Jonathan Coles, Stefano Schuppli, Lukas Drescher +20
Large Language Models (LLMs) have surged as a transformative technology for science and society, prompting governments worldwide to pursue sovereign AI capabilities that ensure dat…
Beyond Pre-Training: The Full Lifecycle of Foundation Models on HPC Systems
Dino Conciatore, Elia Oggian, Federico Da Forno +4
Large-scale pre-training of Foundational Models (FM) constitutes a computationally intensive first phase for enabling AI across diverse scientific and societal applications. This f…
GT4Py: High Performance Stencils for Weather and Climate Applications using Python
Enrique G. Paredes, Linus Groner, Stefano Ubbiali +8
All major weather and climate applications are currently developed using languages such as Fortran or C++. This is typical in the domain of high performance computing (HPC), where…