Juan Carlos Pichel

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 30

Top Topics

Text Extraction

Imbalanced Datasets

Top Venues

Future Gener. Comput. Syst.

Publications

Marcos Fernández-Pichel, Manuel de Prada Corral, David E. Losada, Juan Carlos Pichel, Pablo Gamallo
An unsupervised perplexity-based method for boilerplate removal. Nat. Lang. Eng. 30 (1) (2024)
Jorge Vázquez-Pérez, César Piñeiro, Juan Carlos Pichel, Tomás F. Pena, Andrés Gómez
QPU integration in OpenCL for heterogeneous programming. J. Supercomput. 80 (8) (2024)
César Piñeiro, Alvaro Vazquez, Juan Carlos Pichel
MPI4All: Universal Binding Generation for MPI Parallel Programming. ICCS (1) (2024)
Marcos Fernández-Pichel, David E. Losada, Juan Carlos Pichel
Large Language Models for Binary Health-Related Question Answering: A Zero- and Few-Shot Evaluation. ICCS (4) (2024)
David Barral, Francisco Javier Cardama, Guillermo Díaz, Daniel Faílde, Iago F. Llovo, Mariamo M. Juane, Jorge Vázquez-Pérez, Juan Villasuso, César Piñeiro, Natalia Costas, Juan Carlos Pichel, Tomás F. Pena, Andrés Gómez
Review of Distributed Quantum Computing. From single QPU to High Performance Quantum Computing. CoRR (2024)
Marcos Fernández-Pichel, David E. Losada, Juan Carlos Pichel
A multistage retrieval system for health-related misinformation detection. Eng. Appl. Artif. Intell. 115 (2022)
Marcos Fernández-Pichel, Manuel de Prada Corral, David E. Losada, Juan Carlos Pichel
CiTIUS at the TREC 2022 Health Misinformation Track. TREC (2022)
Rodrigo Martínez-Castaño, David E. Losada, Juan Carlos Pichel
Real-Time Focused Extraction of Social Media Users. IEEE Access 10 (2022)
Marcos Fernández-Pichel, David E. Losada, Juan Carlos Pichel
Social Minder: a Tool for Social Media Monitoring and its Use for Detecting COVID-19 Misinformation. CIRCLE (2022)
César Piñeiro, Juan Carlos Pichel
A unified framework to improve the interoperability between HPC and Big Data languages and programming models. Future Gener. Comput. Syst. 134 (2022)
Marcos Fernández-Pichel, Manuel de Prada Corral, David E. Losada, Juan Carlos Pichel, Pablo Gamallo
CiTIUS at the TREC 2021 Health Misinformation Track. TREC (2021)
César Piñeiro, Juan Carlos Pichel
A unified framework to improve the interoperability between HPC and Big Data languages and programming models. CoRR (2021)
Marcos Fernández-Pichel, David E. Losada, Juan Carlos Pichel, David Elsweiler
Comparing Traditional and Neural Approaches for Detecting Health-Related Misinformation. CLEF (2021)
Marcos Fernández-Pichel, David E. Losada, Juan Carlos Pichel, David Elsweiler
Reliability Prediction for Health-Related Content: A Replicability Study. ECIR (2) (2021)
César Piñeiro, Rodrigo Martínez-Castaño, Juan Carlos Pichel
Ignis: An efficient and scalable multi-language Big Data framework. Future Gener. Comput. Syst. 105 (2020)
César Piñeiro, José Manuel Abuín, Juan Carlos Pichel
Very Fast Tree: speeding up the estimation of phylogenies for large alignments through parallelization and vectorization strategies. Bioinform. 36 (17) (2020)
Marcos Fernández-Pichel, Rodrigo Martínez-Castaño, David E. Losada, Juan Carlos Pichel
eXtream: a System for Real-time Monitoring of Dynamic Web Sources. CIRCLE (2020)
Robin Kobus, José Manuel Abuín, André Müller, Sören Lukas Hellmann, Juan Carlos Pichel, Tomás F. Pena, Andreas Hildebrandt, Thomas Hankeln, Bertil Schmidt
A big data approach to metagenomics for all-food-sequencing. BMC Bioinform. 21 (1) (2020)
Marcos Fernández-Pichel, David E. Losada, Juan Carlos Pichel, David Elsweiler
CiTIUS at the TREC 2020 Health Misinformation Track. TREC (2020)
Juan Carlos Pichel, Beatriz Pateiro-López
Sparse Matrix Classification on Imbalanced Datasets Using Convolutional Neural Networks. IEEE Access 7 (2019)
Chih-Chieh Yang, Juan Carlos Pichel, David A. Padua
Dataflow Execution of Hierarchically Tiled Arrays. Euro-Par (2019)
Juan Carlos Pichel, Beatriz Pateiro-López
A New Approach for Sparse Matrix Classification Based on Deep Learning Techniques. CLUSTER (2018)
Rodrigo Martínez-Castaño, Juan Carlos Pichel, Pablo Gamallo
Polypus: a Big Data Self-Deployable Architecture for Microblogging Text Extraction and Real-Time Sentiment Analysis. CoRR (2018)
Rodrigo Martínez-Castaño, Juan Carlos Pichel, David E. Losada
Building Python-Based Topologies for Massive Processing of Social Media Data in Real Time. CERI (2018)
Pablo Gamallo Otero, Marcos García, César Piñeiro, Rodrigo Martínez-Castaño, Juan Carlos Pichel
LinguaKit: A Big Data-Based Multilingual Tool for Linguistic Analysis and Information Extraction. SNAMS (2018)
Rodrigo Martínez-Castaño, Juan Carlos Pichel, David E. Losada, Fabio Crestani
A Micromodule Approach for Building Real-Time Systems with Python-Based Models: Application to Early Risk Detection of Depression on Social Media. ECIR (2018)
José Manuel Abuín, Tomás F. Pena, Juan Carlos Pichel
PASTASpark: multiple sequence alignment meets Big Data. Bioinform. 33 (18) (2017)
César Piñeiro, José Manuel Abuín, Juan Carlos Pichel
Perldoop2: A Big Data-Oriented Source-to-Source Perl-Java Compiler. DASC/PiCom/DataCom/CyberSciTech (2017)
Marcos Fernández, Juan Carlos Pichel, José Carlos Cabaleiro, Tomás F. Pena
Boosting performance of a Statistical Machine Translation system using dynamic parallelism. J. Comput. Sci. 13 (2016)
José Manuel Abuín, Juan Carlos Pichel, Tomás F. Pena, Jorge Amigo
BigBWA: approaching the Burrows-Wheeler aligner to Big Data technologies. Bioinform. 31 (24) (2015)
Pablo Gamallo, Juan Carlos Pichel, Marcos García, José Manuel Abuín, Tomás Fernandez Pena
Análisis morfosintáctico y clasificación de entidades nombradas en un entorno Big Data. Proces. del Leng. Natural 53 (2014)
Oscar G. Lorenzo, Tomás F. Pena, José Carlos Cabaleiro, Juan Carlos Pichel, Juan Angel Lorenzo, Francisco F. Rivera
A hardware counter-based toolkit for the analysis of memory accesses in SMPs. Concurr. Comput. Pract. Exp. 26 (6) (2014)
Oscar G. Lorenzo, Tomás F. Pena, José Carlos Cabaleiro, Juan Carlos Pichel, Francisco F. Rivera
3DyRM: a dynamic roofline model including memory latency information. J. Supercomput. 70 (2) (2014)
Juan Carlos Pichel, Juan Angel Lorenzo, Francisco F. Rivera, Dora Blanco Heras, Tomás F. Pena
Using sampled information: is it enough for the sparse matrix-vector product locality optimization? Concurr. Comput. Pract. Exp. 26 (1) (2014)
Oscar G. Lorenzo, Tomás F. Pena, José Carlos Cabaleiro, Juan Carlos Pichel, Francisco F. Rivera
Multiobjective optimization technique based on monitoring information to increase the performance of thread migration on multicores. CLUSTER (2014)
José Manuel Abuín, Juan Carlos Pichel, Tomás F. Pena, Pablo Gamallo Otero, Marcos García
Perldoop: Efficient execution of Perl scripts on Hadoop clusters. IEEE BigData (2014)
Juan Carlos Pichel, Francisco F. Rivera
Sparse matrix-vector multiplication on the Single-Chip Cloud Computer many-core processor. J. Parallel Distributed Comput. 73 (12) (2013)
Juan Ángel Lorenzo del Castillo, Juan Carlos Pichel, Francisco F. Rivera, Tomás F. Pena, José Carlos Cabaleiro
A flexible and dynamic page migration infrastructure based on hardware counters. J. Supercomput. 65 (2) (2013)
Juan Carlos Pichel, Francisco F. Rivera
Experiences with the Sparse Matrix-Vector Multiplication on a Many-core Processor. IPDPS Workshops (2012)
Oscar G. Lorenzo, Tomás F. Pena, José Carlos Cabaleiro, Juan Carlos Pichel, Juan Angel Lorenzo, Francisco F. Rivera
Hardware Counters Based Analysis of Memory Accesses in SMPs. ISPA (2012)
Juan Carlos Pichel, Francisco F. Rivera, Marcos Fernández, Aurelio Rodríguez
Optimization of sparse matrix-vector multiplication using reordering techniques on GPUs. Microprocess. Microsystems 36 (2) (2012)
Francisco F. Rivera, Ramón Iglesias, Juan Angel Lorenzo, Juan Carlos Pichel, Tomás F. Pena, José Carlos Cabaleiro
A Graphical Tool for Performance Analysis of Multicore Systems Based on the Roofline Model. ISPA (2012)
Juan Carlos Pichel, Juan Angel Lorenzo, Dora Blanco Heras, José Carlos Cabaleiro, Tomás Fernandez Pena
Analyzing the execution of sparse matrix-vector product on the Finisterrae SMP-NUMA system. J. Supercomput. 58 (2) (2011)
Juan Carlos Pichel, Dora Blanco Heras, José Carlos Cabaleiro, Antonio J. García-Loureiro, Francisco F. Rivera
Increasing the Locality of Iterative Methods and Its Application to the Simulation of Semiconductor Devices. Int. J. High Perform. Comput. Appl. 24 (2) (2010)
Juan Angel Lorenzo, Juan Carlos Pichel, David LaFrance-Linden, Francisco Fernandez Rivera, David Exposito Singh
Lessons Learnt Porting Parallelisation Techniques for Irregular Codes to NUMA Systems. PDP (2010)
David E. Singh, Florin Isaila, Juan Carlos Pichel, Jesús Carretero
A collective I/O implementation based on inspector-executor paradigm. J. Supercomput. 47 (3) (2009)
Juan Angel Lorenzo, Francisco F. Rivera, Peter Tuma, Juan Carlos Pichel
On the Influence of Thread Allocation for Irregular Codes in NUMA Systems. PDCAT (2009)
David E. Singh, Florin Isaila, Juan Carlos Pichel, Jesús Carretero
A collective I/O implementation based on inspector-executor paradigm. J. Supercomput. 47 (1) (2009)
Juan Carlos Pichel, Dora Blanco Heras, José Carlos Cabaleiro, Francisco F. Rivera
Increasing data reuse of sparse algebra codes on simultaneous multithreading architectures. Concurr. Comput. Pract. Exp. 21 (15) (2009)
Juan Carlos Pichel, David E. Singh, Jesús Carretero
Reordering Algorithms for Increasing Locality on Multicore Processors. HPCC (2008)
Rosa Filgueira, David E. Singh, Juan Carlos Pichel, Jesús Carretero
Exploiting data compression in collective I/O techniques. CLUSTER (2008)
Rosa Filgueira, David E. Singh, Juan Carlos Pichel, Florin Isaila, Jesús Carretero
Data Locality Aware Strategy for Two-Phase Collective I/O. VECPAR (2008)
David E. Singh, Florin Isaila, Juan Carlos Pichel, Jesús Carretero
A collective I/O implementation based on Inspector-Executor paradigm. PDPTA (2007)
Juan Carlos Pichel, David E. Singh, Francisco F. Rivera
Image segmentation based on merging of sub-optimal segmentations. Pattern Recognit. Lett. 27 (10) (2006)
Juan Carlos Pichel, Dora Blanco Heras, José Carlos Cabaleiro, Francisco F. Rivera
Performance optimization of irregular codes based on the combination of reordering and blocking techniques. Parallel Comput. 31 (8-9) (2005)
Juan Carlos Pichel, Dora Blanco Heras, José Carlos Cabaleiro, Francisco F. Rivera
A New Technique to Reduce False Sharing in Parallel Irregular Codes Based on Distance Functions. ISPAN (2005)
Juan Carlos Pichel, Dora Blanco Heras, José Carlos Cabaleiro, Francisco F. Rivera
Improving the Locality of the Sparse Matrix-Vector Product on Shared Memory Multiprocessors. PDP (2004)