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ORCIDJuan Carlos Pichel
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2020 – today
- 2024
[j26]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): 132-149 (2024)- [j25]Jorge Vázquez-Pérez, César Piñeiro, Juan Carlos Pichel, Tomás F. Pena, Andrés Gómez:
QPU integration in OpenCL for heterogeneous programming. J. Supercomput. 80(8): 11682-11703 (2024) - [c28]César Piñeiro, Alvaro Vazquez, Juan Carlos Pichel:
MPI4All: Universal Binding Generation for MPI Parallel Programming. ICCS (1) 2024: 196-208 - [c27]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: 325-339 - [i3]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 abs/2404.01265 (2024) - 2022
- [j24]Rodrigo Martínez-Castaño, David E. Losada, Juan Carlos Pichel:
Real-Time Focused Extraction of Social Media Users. IEEE Access 10: 42607-42622 (2022) - [j23]Marcos Fernández-Pichel, David E. Losada, Juan Carlos Pichel:
A multistage retrieval system for health-related misinformation detection. Eng. Appl. Artif. Intell. 115: 105211 (2022) - [j22]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: 123-139 (2022) - [c26]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 - [c25]Marcos Fernández-Pichel, Manuel de Prada Corral, David E. Losada, Juan Carlos Pichel:
CiTIUS at the TREC 2022 Health Misinformation Track. TREC 2022 - 2021
- [c24]Marcos Fernández-Pichel, David E. Losada, Juan Carlos Pichel, David Elsweiler:
Comparing Traditional and Neural Approaches for Detecting Health-Related Misinformation. CLEF 2021: 78-90 - [c23]Marcos Fernández-Pichel, David E. Losada, Juan Carlos Pichel, David Elsweiler:
Reliability Prediction for Health-Related Content: A Replicability Study. ECIR (2) 2021: 47-61 - [c22]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 - [i2]César Piñeiro, Juan Carlos Pichel:
A unified framework to improve the interoperability between HPC and Big Data languages and programming models. CoRR abs/2112.00467 (2021) - 2020
- [j21]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): 4658-4659 (2020) - [j20]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): 102 (2020) - [j19]César Piñeiro, Rodrigo Martínez-Castaño, Juan Carlos Pichel:
Ignis: An efficient and scalable multi-language Big Data framework. Future Gener. Comput. Syst. 105: 705-716 (2020) - [c21]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 - [c20]Marcos Fernández-Pichel, David E. Losada, Juan Carlos Pichel, David Elsweiler:
CiTIUS at the TREC 2020 Health Misinformation Track. TREC 2020
2010 – 2019
- 2019
- [j18]Juan Carlos Pichel, Beatriz Pateiro-López:
Sparse Matrix Classification on Imbalanced Datasets Using Convolutional Neural Networks. IEEE Access 7: 82377-82389 (2019) - [c19]Chih-Chieh Yang, Juan Carlos Pichel, David A. Padua:
Dataflow Execution of Hierarchically Tiled Arrays. Euro-Par 2019: 304-316 - 2018
- [c18]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: 18:1-18:8 - [c17]Juan Carlos Pichel, Beatriz Pateiro-López:
A New Approach for Sparse Matrix Classification Based on Deep Learning Techniques. CLUSTER 2018: 46-54 - [c16]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: 801-805 - [c15]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: 239-244 - [i1]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 abs/1801.03710 (2018) - 2017
- [j17]José Manuel Abuín, Tomás F. Pena, Juan Carlos Pichel:
PASTASpark: multiple sequence alignment meets Big Data. Bioinform. 33(18): 2948-2950 (2017) - [c14]César Piñeiro, José Manuel Abuín, Juan Carlos Pichel:
Perldoop2: A Big Data-Oriented Source-to-Source Perl-Java Compiler. DASC/PiCom/DataCom/CyberSciTech 2017: 933-940 - 2016
- [j16]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: 37-48 (2016) - 2015
- [j15]José Manuel Abuín, Juan Carlos Pichel, Tomás F. Pena, Jorge Amigo:
BigBWA: approaching the Burrows-Wheeler aligner to Big Data technologies. Bioinform. 31(24): 4003-4005 (2015) - 2014
- [j14]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): 98-117 (2014) - [j13]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): 1328-1341 (2014) - [j12]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: 17-24 (2014) - [j11]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): 696-708 (2014) - [c13]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: 766-771 - [c12]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: 416-423 - 2013
- [j10]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): 1539-1550 (2013) - [j9]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): 930-948 (2013) - 2012
- [j8]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): 65-77 (2012) - [c11]Juan Carlos Pichel, Francisco F. Rivera:
Experiences with the Sparse Matrix-Vector Multiplication on a Many-core Processor. IPDPS Workshops 2012: 7-15 - [c10]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: 595-602 - [c9]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: 847-848 - 2011
- [j7]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): 195-205 (2011) - 2010
- [j6]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): 136-153 (2010) - [c8]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: 213-217
2000 – 2009
- 2009
- [j5]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): 1838-1856 (2009) - [j4]David E. Singh, Florin Isaila, Juan Carlos Pichel, Jesús Carretero:
A collective I/O implementation based on inspector-executor paradigm. J. Supercomput. 47(1): 53-75 (2009) - [j3]David E. Singh, Florin Isaila, Juan Carlos Pichel, Jesús Carretero:
A collective I/O implementation based on inspector-executor paradigm. J. Supercomput. 47(3): 311 (2009) - [c7]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: 146-153 - 2008
- [c6]Rosa Filgueira, David E. Singh, Juan Carlos Pichel, Jesús Carretero:
Exploiting data compression in collective I/O techniques. CLUSTER 2008: 479-485 - [c5]Juan Carlos Pichel, David E. Singh, Jesús Carretero:
Reordering Algorithms for Increasing Locality on Multicore Processors. HPCC 2008: 123-130 - [c4]Rosa Filgueira, David E. Singh, Juan Carlos Pichel, Florin Isaila, Jesús Carretero:
Data Locality Aware Strategy for Two-Phase Collective I/O. VECPAR 2008: 137-149 - 2007
- [c3]David E. Singh, Florin Isaila, Juan Carlos Pichel, Jesús Carretero:
A collective I/O implementation based on Inspector-Executor paradigm. PDPTA 2007: 683-689 - 2006
- [j2]Juan Carlos Pichel, David E. Singh, Francisco F. Rivera:
Image segmentation based on merging of sub-optimal segmentations. Pattern Recognit. Lett. 27(10): 1105-1116 (2006) - 2005
- [j1]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): 858-876 (2005) - [c2]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: 306-311 - 2004
- [c1]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: 66-71
Coauthor Index
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last updated on 2024-10-07 21:16 CEST by the dblp team
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