Publications (9)
Interactive and Urgent HPC: State of the Research
Albert Reuther, William Arndt, Johannes Blaschke +10
When we think of how we use smartphones, e-commerce, collaboration platforms, LLMs, etc., most of our interactions with computers are interactive and often urgent. Similar trends o…
Dynamically Provisioning Cray DataWarp Storage
François Tessier, Maxime Martinasso, Matteo Chesi +2
Complex applications and workflows needs are often exclusively expressed in terms of computational resources on HPC systems. In many cases, other resources like storage or network…
Interactive and Urgent HPC: Challenges and Opportunities
Albert Reuther, Nick Brown, William Arndt +7
As a broader set of applications from simulations to data analysis and machine learning require more parallel computational capability, the demand for interactive and urgent high p…
FirecREST: RESTful API on Cray XC systems
Felipe A. Cruz, Maxime Martinasso
As science gateways are becoming an increasingly popular digital interface for scientific communities, it is also becoming increasingly important for High-Performance Computing cen…
Evolving HPC services to enable ML workloads on HPE Cray EX
Stefano Schuppli, Fawzi Mohamed, Henrique Mendonça +10
The Alps Research Infrastructure leverages GH200 technology at scale, featuring 10,752 GPUs. Accessing Alps provides a significant computational advantage for researchers in Artifi…
Alps, a versatile research infrastructure
Maxime Martinasso, Mark Klein, Thomas C. Schulthess
The Swiss National Supercomputing Centre (CSCS) has a long-standing tradition of delivering top-tier high-performance computing systems, exemplified by the Piz Daint supercomputer.…
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…
MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems
Steven Farrell, Murali Emani, Jacob Balma +40
Scientific communities are increasingly adopting machine learning and deep learning models in their applications to accelerate scientific insights. High performance computing syste…
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…