Scientific Computing Core Facility

Request access Correfoc Supercomputer

Scientific Computing Core Facility

Request access Correfoc Supercomputer

Scientific Computing Core Facility

Request access Correfoc Supercomputer

Scientific Computing Core Facility

Request access Correfoc Supercomputer

Scientific Computing Core Facility

Request access Correfoc Supercomputer

Scientific Computing Core Facility

Request access Correfoc Supercomputer

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

 

HPC

High Performance Computing

Run large-scale simulations, data analysis workflows and batch jobs using Slurm-managed CPU resources.

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GPU

GPU Computing

Access GPU nodes for AI, image analysis, molecular modelling and accelerated scientific workloads.

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ST

Research Storage

Store, share and manage research data with high-performance storage systems and backup options.

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APP

Visualization & Interactive Apps

Access graphical and interactive research applications through a web browser, including Jupyter, RStudio, VSCode, remote desktops and scientific visualization tools.

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HO

Scientific Application Hosting

Deploy research web applications, databases, APIs and containerized services inside UPF’s on-premise scientific infrastructure.

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K8S

Containers & Kubernetes

Run containerized research applications and reproducible services using managed container workflows and Kubernetes-based infrastructure.

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MOD

Scientific Software

Use centrally managed software modules, compilers, libraries and domain-specific applications.

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SUP

Support

Get help with job optimization, software installation, workflows, data movement and best practices.

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Visualization & Interactive Apps

From code to real-time 3D, in your browser

Develop code, explore large images and interact with 3D scenes on Correfoc.

Your applications run on SCC computing resources, close to your research data. Work through a web browser without installing the scientific software on your computer or repeatedly moving large datasets.

Code & analyse

Use Jupyter, RStudio, VSCode and Linux/Windows desktops connected to SCC computing and storage.

Explore & render

Inspect images, molecular structures and 3D scenes with GPU acceleration in supported applications.

Extend your workspace

Use high-resolution displays and extend a compatible remote desktop to a second screen.

Interact & experiment

Transfer files and clipboard content; use audio, cameras or game controllers in configured environments.

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 stack
EESSI

EESSI 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.

EB

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.

ARCH

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 billing
LIVE

Real-time consumption

View current usage of compute, GPU, storage and other services as projects consume SCC resources.

EUR

Cost by tariff

Translate resource consumption into estimated costs according to the applicable internal, external or project-specific tariff.

HIST

Monthly billing history

Review previous billing periods, compare monthly usage and understand how costs evolve across the lifetime of a project.

PI

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]