BSC - Barcelona Supercomputing Center
Early in 2004 the Ministry of Education and Science (Spanish Government), Generalitat de Catalunya (local Catalan Government) and Technical University of Catalonia (UPC) took the initiative of creating a National Supercomputing Center in Barcelona. BSC-CNS (Barcelona Supercomputing Center – Centro Nacional de Supercomputación) is the National Supercomputing Facility in Spain and was officially constituted in April 2005. BSC-CNS manages MareNostrum, one of the most powerful supercomputers in Europe, located at the Torre Girona chapel. The mission of BSC-CNS is to investigate, develop and manage information technology in order to facilitate scientific progress. With this aim, special dedication has been taken to areas such as Computer Sciences, Life Sciences, Earth Sciences and Computational Applications in Science and Engineering.
Sub-communities within this community
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Computer Sciences [1.027]
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Earth Sciences [463]
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Life Sciences [464]
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Operations [8]
Recent Submissions
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Probabilistic Timing Estimates in Scenarios Under Testing Constraints
(Association for Computing Machinery (ACM), 2025-05)
Conference lecture
Open AccessMeasurement-based probabilistic (MBP) methods like Extreme Value Theory (EVT) and the Markov's Inequality have been exploited to derive probabilistic Worst-Case Execution Time (pWCET) estimates. Usually, the reliability ... -
Precision proteogenomics reveals pan-cancer impact of germline variants
(Elsevier, 2025)
Article
Open AccessWe investigate the impact of germline variants on cancer patients’ proteomes, encompassing 1,064 individuals across 10 cancer types. We introduced an approach, “precision peptidomics,” mapping 337,469 coding germline ... -
Protecting global health partnerships in the era of destructive nationalism
(Public Library of Science, 2025)
Article
Open Access -
Arctic sea-ice loss drives a strong regional atmospheric response over the North Pacific and North Atlantic on decadal scales
(Nature Research, 2025)
Article
Open AccessPrevious studies have suggested that Arctic sea-ice loss can have a profound influence on atmospheric circulation far away from the Arctic. However, there is little scientific consensus on the features of these remote ... -
Record Warmth of 2023 and 2024 was Highly Predictable and Resulted From ENSO Transition and Northern Hemisphere Absorbed Shortwave Anomalies
(Wiley, 2025-05-13)
Article
Open AccessGlobal mean temperature rapidly warmed during 2023, making 2023 the second warmest year on record at 1.45°C above pre-industrial climate, and 2024 became the first year on record to surpass 1.5°C. Here we explore the ... -
A comprehensive global modeling assessment of nitrate heterogeneous formation on desert dust
(European Geosciences Union (EGU), 2025-05-07)
Article
Open AccessDesert dust undergoes complex heterogeneous chemical reactions during atmospheric transport, forming nitrate coatings that influence hygroscopicity, gas partitioning, optical properties, and aerosol radiative forcing. ... -
A perfect-model perspective on the signal-to-noise paradox in initialized decadal predictions
(American Meteorological Society, 2025-05-07)
Article
Open Accessnitialized climate predictions have shown success in predicting interannual to decadal climate variations in some regions. However, the initialized predictions also suffer from different issues arising from imperfect ... -
Western Mediterranean droughts fostered by Arctic sea-ice loss
(American Meteorological Society |, 2025-05-12)
Article
Open AccessCut-off lows (COLs), defined as isolated mid-tropospheric low pressure systems, are responsible for a large fraction of the annual mean and extreme precipitation over the Mediterranean Sea region. In this study we quantify ... -
Experience replay and zero-shot clustering for continual learning in diabetic retinopathy detection
(SciTePress, 2025)
Conference lecture
Open AccessWe present an approach to mitigate catastrophic forgetting in Continual Learning (CL), focusing on domain incremental scenarios in medical imaging. Our method leverages Large Language Models (LLMs) to generate task-agnostic ... -
Towards generalizable Federated Learning in medical imaging: a real-world case study on mammography data
(Elsevier, 2025-03-20)
Article
Open AccessFederated Learning has been rapidly gaining in popularity in medical applications, due to the increased privacy offered, since medical data doesn't need to leave the hospitals' premises for AI model training. However, a ... -
Context matters: contextual value-based deliberation in water consumption scenarios
(Springer, 2024)
Conference report
Restricted access - publisher's policyValues and context are important in an agent’s decision-making process. Individuals may prioritise values differently, and changing context can also necessitate different considerations. In this paper, we use Schwartz’s ... -
Evaluation of heuristic task-to-thread mapping using static and dynamic approaches
(Springer, 2024-12-21)
Part of book or chapter of book
Restricted access - publisher's policyThe increasing needs for high-performance computing capabilities in real-time systems is pushing the need for the use of complex parallel and heterogeneous platforms. This complicates and even invalidates the use of ...
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