High Performance Computing
Run large-scale simulations, data analysis workflows and batch jobs using Slurm-managed CPU resources.
Learn moreScientific Computing Core Facility
The Scientific Computing Core Facility provides high-performance computing, GPU resources, research storage, scientific software environments, visualization tools and expert support for research groups across UPF.
Services
Services for computational research workflows
GPU Computing
Access GPU nodes for AI, image analysis, molecular modelling and accelerated scientific workloads.
Learn moreResearch Storage
Store, share and manage research data with high-performance storage systems and backup options.
Learn moreVisualization & Interactive Apps
Access graphical and interactive research applications through a web browser, including Jupyter, RStudio, VSCode, remote desktops and scientific visualization tools.
Learn moreScientific Application Hosting
Deploy research web applications, databases, APIs and containerized services inside UPF’s on-premise scientific infrastructure.
Learn moreContainers & Kubernetes
Run containerized research applications and reproducible services using managed container workflows and Kubernetes-based infrastructure.
Learn moreScientific Software
Use centrally managed software modules, compilers, libraries and domain-specific applications.
Learn moreSupport
Get help with job optimization, software installation, workflows, data movement and best practices.
Learn moreVisualization & Interactive Apps
Visualization and interactive applications from your browser
The SCC provides a web-based visualization portal that allows researchers to launch interactive applications, notebooks, remote desktops and graphical scientific tools directly on SCC computing resources. Users do not need to know the underlying technology to get started.
In this integrated environment, researchers can write code, run CPU and GPU workloads, manage research data and visualize results without moving large datasets between personal computers and separate servers.
- Jupyter notebooks for Python workflows
- RStudio sessions for statistical analysis
- VSCode connected to SCC resources
- Remote Linux desktops
- Scientific visualization tools
- Real-time 3D rendering using GPU graphics resources
- More than 50 graphical applications running close to the data
Powered by Open OnDemand
Open OnDemand is the platform that enables secure browser-based access to interactive applications running on the cluster.
Software stack
Reproducible scientific software for each architecture
The SCC provides a curated scientific software stack built for performance, reproducibility and compatibility across the different CPU and GPU architectures available in the service.
Learn more about the software stackEESSI base software layer
EESSI provides a shared, architecture-aware European scientific software stack. It gives users access to common compilers, libraries and applications through a consistent module environment.
EasyBuild for managed installations
EasyBuild is used to automate scientific software builds, including dependencies, compiler toolchains and module files, so installations are traceable and easier to reproduce.
Builds per architecture
Software is compiled for the relevant architectures when needed, so CPU features, GPU support and numerical libraries can match the hardware used by each workload.
Built on top of EESSI when possible
The preferred approach is to use the EESSI software layer as the common foundation and extend it with EasyBuild recipes or local modules when a research group needs additional applications, versions or optimizations.
Custom SCC stacks when required
When a package cannot be provided through EESSI or standard EasyBuild workflows, the SCC can maintain a dedicated software stack for each architecture, with locally compiled applications and documented module environments.
Usage and billing transparency
Real-time visibility of usage, costs and monthly billing
Users and project owners can monitor resource consumption and the associated computation costs at any time, using the tariffs assigned to their group or project.
Learn more about rates and billingReal-time consumption
View current usage of compute, GPU, storage and other services as projects consume SCC resources.
Cost by tariff
Translate resource consumption into estimated costs according to the applicable internal, external or project-specific tariff.
Monthly billing history
Review previous billing periods, compare monthly usage and understand how costs evolve across the lifetime of a project.
Project owner view
Principal investigators and authorised managers can follow usage by project, service and user to support planning and accountability.
Scientific Computing Core Facility
Edifici PRBB (campus del Mar)
Doctor Aiguader, 88
08003 Barcelona
+34 93 316 08 06
[email protected]
[email protected]
