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
-
Computer Sciences [540]
-
Earth Sciences [162]
-
Life Sciences [150]
-
Operations [0]
Recent Submissions
-
How reliable are decadal climate predictions of near-surface air temperature?
(American Meteorological Society (AMS), 2020)
Article
Open AccessDecadal climate predictions are being increasingly used by stakeholders interested in the evolution of climate over the coming decade. However, investigating the added value of those initialized decadal predictions over ... -
Synthetic seismicity distribution in Guerrero–Oaxaca subduction zone, Mexico, and its implications on the role of asperities in Gutenberg–Richter law
(Copernicus Publications, 2020)
Article
Open AccessSeismicity and magnitude distributions are fundamental for seismic hazard analysis. The Mexican subduction margin along the Pacific Coast is one of the most active seismic zones in the world, which makes it an optimal ... -
An intelligent iris based chronic kidney identification system
(2020-12-12)
Article
Open AccessIn recent years, the demand for alternative medical diagnostics of the human kidney or renal is growing, and some of the reasons behind this relate to its non-invasive, early, real-time, and pain-free mechanism. The chronic ... -
BRASIL: A high-integrity GPGPU toolchain for automotive systems
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference report
Open AccessEmbedded General Purpose Graphics Processing Units (GPGPUs) are increasingly used in automotive to enable Advanced Driving Assistance (ADAS) and Autonomous driving. However, their functional safety certification has been ... -
An on-board algorithm implementation on an embedded GPU: A space case study
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference report
Open AccessOn-board processing requirements of future space missions are constantly increasing, calling for new hardware than the traditional ones used in space. Embedded GPUs are an attractive candidate offering both high performance ... -
An academic RISC-V silicon implementation based on open-source components
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference report
Open AccessThe design presented in this paper, called preDRAC, is a RISC-V general purpose processor capable of booting Linux jointly developed by BSC, CIC-IPN, IMB-CNM (CSIC), and UPC. The preDRAC processor is the first RISC-V ... -
Spatiotemporal variability in modeled bottom ice and sea surface dimethylsulfide concentrations and fluxes in the Arctic during 1979–2015
(Wiley, 2020)
Article
Restricted access - publisher's policyField observations suggest that oceanic emissions of dimethylsulfide (DMS) may play a dominant role in the production of Arctic aerosols and clouds and therefore modulate the surface irradiance, during spring and summer. ... -
A data-centric directive-based framework to accelerate out-of-core stencil computation on a GPU
(Institute of Electronics, Information and Communication Engineers, 2020-12-01)
Article
Open AccessGraphics processing units (GPUs) are highly efficient architectures for parallel stencil code; however, the small device (i.e., GPU) memory capacity (several tens of GBs) necessitates the use of out-of-core computation to ... -
Performance comparison of multi-container deployment schemes for HPC workloads: an empirical study
(2020-11-30)
Article
Restricted access - publisher's policyThe high-performance computing (HPC) community has recently started to use containerization to obtain fast, customized, portable, flexible, and reproducible deployments of their workloads. Previous work showed that deploying ... -
Performance meets programmabilty: Enabling native Python MPI tasks in PyCOMPSs
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference report
Open AccessThe increasing complexity of modern and future computing systems makes it challenging to develop applications that aim for maximum performance. Hybrid parallel programming models offer new ways to exploit the capabilities ... -
A cross-layer review of deep learning frameworks to ease their optimization and reuse
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference report
Open AccessMachine learning and especially Deep Learning (DL) approaches are at the heart of many domains, from computer vision and speech processing to predicting trajectories in autonomous driving and data science. Those approaches ... -
Towards data-flow parallelization for adaptive mesh refinement applications
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference report
Open AccessAdaptive Mesh Refinement (AMR) is a prevalent method used by distributed-memory simulation applications to adapt the accuracy of their solutions depending on the turbulent conditions in each of their domain regions. These ...
RSS 1.0