129 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of AmsterdamNL9 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- Friedrich-Alexander-Universität Erlangen-NürnbergDE5 papers
- Max Planck Institute for AstrophysicsDE5 papers
- University of BelgradeRS5 papers
- University of ManchesterGB5 papers
- Bielefeld UniversityDE4 papers
- Commonwealth Scientific and Industrial Research OrganisationAU4 papers
- Eindhoven University of TechnologyNL4 papers
- Jagiellonian UniversityPL4 papers
- Laboratoire de Physique et Chimie de l’Environnement et de l’EspaceFR4 papers
- Laboratoire d’études spatiales et d’instrumentation en astrophysiqueFR4 papers
6 papers · 1 filter
AI4EOSC: a Federated Cloud Platform for Artificial Intelligence in Scientific Research
Ignacio Heredia, Álvaro López García, Fernando Aguilar Gómez +28
The rapid growth of Artificial Intelligence and Machine Learning in scientific research has highlighted a gap between industry-standard MLOps tools and platforms, and the unique re…
The RECIPE Approach to Challenges in Deeply Heterogeneous High Performance Systems
Giovanni Agosta, William Fornaciari, David Atienza +8
RECIPE (REliable power and time-ConstraInts-aware Predictive management of heterogeneous Exascale systems) is a recently started project funded within the H2020 FETHPC programme, w…
Container Orchestration on HPC Systems
Naweiluo Zhou, Yiannis Georgiou, Li Zhong +2
Containerisation demonstrates its efficiency in application deployment in cloud computing. Containers can encapsulate complex programs with their dependencies in isolated environme…
INDIGO-DataCloud:A data and computing platform to facilitate seamless access to e-infrastructures
DataCloud Collaboration, Davide Salomoni, Isabel Campos +61
This paper describes the achievements of the H2020 project INDIGO-DataCloud. The project has provided e-infrastructures with tools, applications and cloud framework enhancements to…
Distributed Multiscale Computing with MUSCLE 2, the Multiscale Coupling Library and Environment
Joris Borgdorff, Mariusz Mamonski, Bartosz Bosak +6
We present the Multiscale Coupling Library and Environment: MUSCLE 2. This multiscale component-based execution environment has a simple to use Java, C++, C, Python and Fortran API…
Flexible composition and execution of high performance, high fidelity multiscale biomedical simulations
Derek Groen, Joris Borgdorff, Carles Bona-Casas +9
Multiscale simulations are essential in the biomedical domain to accurately model human physiology. We present a modular approach for designing, constructing and executing multisca…