News:

Segundo premio de la presentación de posters divulgativos de la Semana de la Ciencia

I.I Prado-Rujas; UPM; Segundo premio de la presentación de posters divulgativos de la Semana de la Ciencia; Universidad de Cantabria;…

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Reconocimiento: Miembro del Board of Director of BDVA/DAIRO

María S. Pérez; UPM; Miembro del Board of Director of BDVA/DAIRO; Desde 2018

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Reconocimiento: Miembro del Research and Innovation Advisory Board of the EuroHPC Joint Undertaking

Maria S. Pérez; UPM; Miembro del Research and Innovation Advisory Board of the EuroHPC Joint Undertaking; Desde 2019

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Reconocimiento: Experta evaluadora en el área de Ciencias de la Computación y Tecnología Informática

María S. Pérez; UPM; Experta evaluadora en el área de Ciencias de la Computación y Tecnología Informática. Programa Retos 2018,…

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Reconocimiento: Experta evaluadora en la convocatoria H2020-INFRAEOSC-2019

María S. Pérez; UPM; Experta evaluadora en la convocatoria H2020-INFRAEOSC-2019, Comisión Europea, Luxemburgo; 01- 04 de abril de 2019

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Reconocimiento: Experta evaluadora en proyectos de Investigación en Salud 2020

María S. Pérez; UPM; Experta evaluadora en proyectos de Investigación en Salud 2020, Agencia Nacional de Evaluación y Prospectiva, Madrid,…

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Reconocimiento: Experta evaluadora en la convocatoria H2020-INFRAEOSC-2020-2, Comisión Europea

María S. Pérez; UPM; Experta evaluadora en la convocatoria H2020-INFRAEOSC-2020-2, Comisión Europea; 31 de agosto – 2 de septiembre de…

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Reconocimiento: Revisora de una propuesta Advanced Grant 2021

María S. Pérez; UPM; Revisora de una propuesta Advanced Grant 2021; Fundación Española para la Ciencia y la Tecnología, Madrid,…

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Reconocimiento: Experta evaluadora independiente en la 1st FF4EuroHPC Open Call 2021, European High-Performance Computing Joint Undertaking (EuroHPC JU)

Maria S. Pérez; UPM; Experta evaluadora independiente en la 1st FF4EuroHPC Open Call 2021, European High-Performance Computing Joint Undertaking (EuroHPC…

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PERCIVAL: the first posit-based processor core gave a ten-thousandfold accuracy boost

A team of researchers at the Complutense University of Madrid have developed the first processor core implementing the posit standard…

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Invited Talks:

Predicción espacio-temporal: más allá del error/precisión

I.I. Prado-Rujas, E. Serrano, A. García-Dopico, M.L. Cordoba, M.S. Pérez; UPM; Predicción espacio-temporal: más allá del error/precisión; Congreso Español de…

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Challenge-Based Learning in Explainable Artificial Intelligence Education

I. I. Prado-Rujas, E. Serrano, D. Zanardini, J. Bajo; UPM; Challenge-Based Learning in Explainable Artificial Intelligence Education; 13th Annual International…

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Deep learning techniques on low power devices applied to road safety

I. I Prado-Rujas; UPM; Deep learning techniques on low power devices applied to road safety; Semana de la Ciencia de…

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HPC and Big Data, a marriage of convenience?

María S. Pérez; UPM; HPC and Big Data, a marriage of convenience? Red Española de Computación (RES) User Conference 2019,…

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Will HPC, AI and Data Science be the same in 10 years’ time?

María S. Pérez; UPM; Will HPC, AI and Data Science be the same in 10 years’ time? Pannel Discussion in…

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The TransContinuum Initiative and its Impact on Data-Driven Transformation

María S. Pérez; UPM; “The TransContinuum Initiative and its Impact on Data-Driven Transformation”; EBDVF 2021; 03 de diciembre de 2021

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“Computer Design Concepts for Machine Learning”

Prof. Nader Bagherzadeh, from University of California at Irvine, will be talking on jun 29, 2022 at 18:00 about “Computer…

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“Design Automation Approaches for Real-Time Edge Computing for Science Applications”

Prof. Seda Ogrenci-Memik, from  Northwestern University, will be talking on Jun 15, 2022, at 17:00, about “Design Automation Approaches for Real-Time…

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AMD: novedades para cómputo de alto rendimiento

AMD: novedades para cómputo de alto rendimiento; Simón Viñals (AMD Desarrollo de negocio para España y Portugal)

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Automatic generation of hardware memory architectures for HPC

Dr. Christian Pilato, from Politecnico di Milano, will be talking on April 21, 2022, at 17:00, about “Automatic generation of…

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Journals:

GEnI: A framework for the generation of explanations and insights of knowledge graph embedding predictions

Elvira Amador-Domínguez, Emilio Serrano, Daniel Manrique, GEnI: A framework for the generation of explanations and insights of knowledge graph embedding…

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An ontology-based deep learning approach for triple classification with out-of-knowledge-base entities

Elvira Amador-Domínguez, Emilio Serrano, Daniel Manrique, Patrick Hohenecker, Thomas Lukasiewicz, ” An ontology-based deep learning approach for triple classification with…

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A Case-Based Reasoning Model Powered by Deep Learning for Radiology Report Recommendation

Elvira Amador-Domínguez, Emilio Serrano, Daniel Manrique, Javier Bajo, “A Case-Based Reasoning Model Powered by Deep Learning for Radiology Report Recommendation.”…

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Combining heterogeneous data sources for spatio-temporal mobility demand forecasting

Ignacio-Iker Prado-Rujas, Emilio Serrano, Antonio García-Dopico, M. Luisa Córdoba, María S. Pérez, Combining heterogeneous data sources for spatio-temporal mobility demand…

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“Towards enhanced MRI by using a multiple back end programming framework,”

J. Garcia-Blas, D. del Rio, J. Carretero, and D. J. Garcia; “Towards enhanced MRI by using a multiple back end…

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Automatic identification of MHD modes in magnetic fluctuation spectrograms using deep learning

A. Bustos, E. Ascasibar, A.Cappa, R. Mayo-Garcia. Automatic identification of MHD modes in magnetic fluctuation spectrograms using deep learning. Plasma…

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FedFlow: a federated platform to build secure sharing and synchronization services for health dataflows.

Carrizales-Espinoza, D., Sanchez-Gallegos, D. D., Gonzalez-Compean, J. L., & Carretero, J. (2022). FedFlow: a federated platform to build secure sharing…

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From the edge to the cloud: A continuous delivery and preparation model for processing big IoT data.

Sánchez-Gallegos, D. D., Carrizales-Espinoza, D., Reyes-Anastacio, H. G., Gonzalez-Compean, J. L., Carretero, J., Morales-Sandoval, M., & Galaviz-Mosqueda, A. (2020). From…

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On the continuous processing of health data in edge-fog-cloud computing by using micro/nanoservice composition.

Sánchez-Gallegos, D. D., Galaviz-Mosqueda, A., Gonzalez-Compean, J. L., Villarreal-Reyes, S., Perez-Ramos, A. E., Carrizales-Espinoza, D., & Carretero, J. (2020). On…

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Kulla, a container-centric construction model for building infrastructure-agnostic distributed and parallel applications.

Reyes-Anastacio, H. G., Gonzalez-Compean, J. L., Sosa-Sosa, V. J., Carretero, J., & Garcia-Blas, J. (2020). Kulla, a container-centric construction model…

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Conferences:

Analyzing the distributed training of deep-learning models via data locality

Saul Alonso-Monsalve, Felix Garcia-Carballeira, Alejandro Calderón, Jose Rivadeneira, “Analyzing the distributed training of deep-learningmodels via data locality, ” PDP 2021.…

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Estudio de consumo energético de las simulaciones climáticas con WRF usando LIMITLESS

A. Bustos, A. Cascajo, A.J. Rubio-Montero, J.Navarro, J.A. Moriñigo, D.E. Singh, J. Carretero, and R. Mayo-Garcia. Estudio de consumo energético…

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Exposing data locality in HPC-based systems by using the HDFS backend

Jose Rivadeneira, Felix Garcia-Carballeira, Jesus Carretero and Javier Garcia-Blas. Exposing data locality in HPC-based systems by using the HDFS backend.…

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A generic simulator for Edge Computing platforms

Elias Del-Pozo, Felix Garcia-Carballeira; A generic simulator for Edge Computing platforms; The 2016 International Conference on High Performance Computing &…

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Fast Simulation of DEVS models using the SimGrid Framework

Elias Del-Pozo, Felix Garcia-Carballeira; Fast Simulation of DEVS models using the SimGrid Framework; 2021 Annual Modeling and Simulation Conference. 19-21…

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A Proposal of Mobility Support for the SimGridToolkit: Application to IoT simulations

Elias Del-Pozo, Felix Garcia-Carballeira; A Proposal of Mobility Support for the SimGridToolkit: Application to IoT simulations. PDP 2022. 30th Euromicro…

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“DICE: generic data abstraction for enhancing the convergence of HPC and Big Data.,”

P. Brox, J. Garcia-Blas, D. Exposito-Singh, and J. Carretero, “DICE: generic data abstraction for enhancing the convergence of HPC and…

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“Multi-bed stitching tool for 3D computed tomography accelerated by GPU devices,”

J. Garcia-Blas, P. Brox, M. Desco, and M. Abella, “Multi-bed stitching tool for 3D computed tomography accelerated by GPU devices,”…

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Estudio de consumo energético de las simulaciones climáticas con WRF  usando LIMITLESS

A. Bustos, A. Cascajo, A.J. Rubio-Montero, J.Navarro, J.A. Moriñigo, D.E. Singh, J. Carretero, and R. Mayo-Garcia. Estudio de consumo energético…

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Energy Consumption Studies of WRF Executions with the LIMITLESS Monitor.

A. Bustos, A. Cascajo, A.J. Rubio-Montero, J.Navarro, J.A. Moriñigo, D.E. Singh, J. Carretero, and R. Mayo-Garcia. Energy Consumption Studies of…

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