DEPRIMAP secures National Supercomputing resources from NAISS

We are excited to share that DEPRIMAP has been awarded high-performance computing (HPC) resources through the National Academic Infrastructure for Supercomputing in Sweden (NAISS). This allocation provides access to compute nodes on the Tetralith supercomputer at the National Supercomputer Centre (NSC) in Linköping University. The HPC access will significantly accelerate our ongoing work on spatial deprivation modelling across the Global South.

Link to the allocated project description: https://supr.naiss.se/public/project/35025/

Purpose of the Allocation

As part of the DEPRIMAP project, we are scaling up the operationalisation of the improved ISLAND model – a geospatial framework aimed at measuring deprivation across multiple dimensions, including urban morphology, infrastructure, accessibility, and environmental conditions. While initial versions of the model were applied in selected cities (https://ieeexplore.ieee.org/document/11076033), the current effort aims to apply it across more than 80 countries in the Global South, covering thousands of cities/urban clusters.

To achieve this, we need to process large volumes of spatial data, including building footprints, road networks, land parcels, vegetation indices, land surface temperature layers, among others. The NAISS HPC allocation enables us to run these data-intensive analyses efficiently, using Python-based geospatial workflows and parallel computing techniques.

Acknowledgements

We thank the National Infrastructure for Supercomputing in Sweden (NAISS) for supporting this work through their awarded compute allocation on Tetralith (project ID: NAISS 2025/22-1031). This resource is critical for enabling the scale and reproducibility required in DEPRIMAP’s global analysis of urban deprivation.