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 [665]
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Earth Sciences [245]
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Life Sciences [240]
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Operations [4]
Recent Submissions
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The transposable element-rich genome of the cereal pest Sitophilus oryzae
(BMC, 2021)
Article
Open AccessBackground The rice weevil Sitophilus oryzae is one of the most important agricultural pests, causing extensive damage to cereal in fields and to stored grains. S. oryzae has an intracellular symbiotic relationship ... -
COVID-19 Flow-Maps an open geographic information system on COVID-19 and human mobility for Spain
(Nature Research, 2021)
Article
Open AccessCOVID-19 is an infectious disease caused by the SARS-CoV-2 virus, which has spread all over the world leading to a global pandemic. The fast progression of COVID-19 has been mainly related to the high contagion rate of the ... -
Changes in PM2.5 concentrations and their sources in the US from 1990 to 2010
(Copernicus Publications, 2021)
Article
Open AccessSignificant reductions in emissions of SO2, NOx, volatile organic compounds (VOCs), and primary particulate matter (PM) took place in the US from 1990 to 2010. We evaluate here our understanding of the links between these ... -
Cluster of emerging technology: evaluation of a production HPC system based on A64FX
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Conference report
Open AccessClusters of emerging technologies are appearing with more and more frequency in HPC. After years of skepticism, data-centers are adopting them as production systems thanks to several geopolitical and technological factors. ... -
Mutations suppressing the lack of prepilin peptidase provide insights into the maturation of the major Pilin Protein in Cyanobacteria
(Frontiers Media, 2021)
Article
Open AccessType IV pili are bacterial surface-exposed filaments that are built up by small monomers called pilin proteins. Pilins are synthesized as longer precursors (prepilins), the N-terminal signal peptide of which must be removed ... -
MoRS: An approximate fault modelling framework for reduced-voltage SRAMs
(2021)
Article
Open AccessOn-chip memory (usually based on Static RAMs-SRAMs) are crucial components for various computing devices including heterogeneous devices, e.g, GPUs, FPGAs, ASICs to achieve high performance. Modern workloads such as Deep ... -
How an undervolted high-bandwidth memory looks like
(European Network of Excellence on High Performance and Embedded Architecture and Compilation (HiPEAC), 2021)
Conference lecture
Open AccessHigh Bandwidth Memory (HBM) has been introduced as a solution to DRAMs’ bandwidth and power inefficiency and has enjoyed wide industry adoption in recent years. Since this memory is integrated into a single package along ... -
Microarchitectural design-space exploration of an in-order RISC-V processor in a 22nm CMOS technology
(European Network of Excellence on High Performance and Embedded Architecture and Compilation (HiPEAC), 2021)
Conference lecture
Open AccessThe purpose of this paper is to explore the trade-offs between IPC and maximum clock frequency in an in-order processor design. This work evaluates the impact on the performance and frequency of different pipeline ... -
An oracle for guiding large-scale model/hybrid parallel training of convolutional neural networks
(European Network of Excellence on High Performance and Embedded Architecture and Compilation (HiPEAC), 2021)
Conference lecture
Open AccessDeep Neural Network (DNN) frameworks use distributed training to enable faster time to convergence and alleviate memory capacity limitations when training large models and/or using high dimension inputs. With the steady ... -
PrioRAT: criticality-driven prioritization inside the on-chip memory hierarchy
(Springer Nature, 2021)
Conference report
Open AccessThe ever-increasing gap between the processor and main memory speeds requires careful utilization of the limited memory link. This is additionally emphasized for the case of memory-bound applications. Prioritization of ... -
Applying and verifying an explainability method based on policy graphs in the context of reinforcement learning
(IOS Press, 2021)
Conference report
Open AccessThe advancement on explainability techniques is quite relevant in the field of Reinforcement Learning (RL) and its applications can be beneficial for the development of intelligent agents that are understandable by humans ... -
The Camp Nou Stadium as a testbed for city physiology: a modular framework for urban digital twins
(Wiley-Blackwell, 2021-10-12)
Article
Open AccessIn this paper, the Camp Nou stadium is used as a testbed for City Physiology, a theoretical framework for urban digital twins. With this case study, the modularity and adaptability of the framework, originally intended for ...
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