Publicacions en revistes

• Deep learning inference optimisation for IoT: Conv2D-ReLU-BN layer fusion and quantisation

  Jose Ignacio Mestre Miravet, Sergio Barrachina Mir, Darwin Patricio Quezada Gaibor, Manuel Francisco Dolz Zaragozá. JOURNAL OF SUPERCOMPUTING . Num. 4. Vol. 81. pp. 1-20. 2025. Científic.

• Optimising Convolutions for Deep Learning Inference On ARM Cortex-M Processors

  Antonio Maciá-Lillo, Sergio Barrachina Mir, Germán Fabregat Llueca, Manuel Francisco Dolz Zaragozá. IEEE Internet of Things Journal. Num. 15. Vol. 11. pp. 26203-26219. 2024. Científic.

• Automatic generation of ARM NEON micro-kernels for matrix multiplication

  Guillermo Alaejos, Héctor Martínez Pérez, Adrián Castelló Gimeno, Manuel Francisco Dolz Zaragozá, Francisco Daniel Igual Peña, Pedro Alonso-Jordá, Enrique S. Quintana-Ortí. JOURNAL OF SUPERCOMPUTING . Num. 10. Vol. 80. pp. 13873-13899. 2024. Científic.

• Urban sound classification using neural networks on embedded FPGAs

  José Antonio Belloch Rodriguez, Raul Coronado, Oscar Valls, Rocío del Amor, Germán León Navarro, Valery Naranjo, Manuel Francisco Dolz Zaragozá, Adrian Amor-Martin, Gema Piñero. JOURNAL OF SUPERCOMPUTING . Num. 9. Vol. 80. pp. 13176-13186. 2024. Científic.

• Efficient and portable Winograd convolutions for multi-core processors

  Manuel Francisco Dolz Zaragozá, Héctor Martínez Pérez, Adrián Castelló Gimeno, Enrique S. Quintana-Ortí, Pedro Alonso-Jordá. JOURNAL OF SUPERCOMPUTING . Num. 10. Vol. 79. pp. 10589-10610. 2023. Científic.

• Performance–energy trade-offs of deep learning convolution algorithms on ARM processors

  Manuel Francisco Dolz Zaragozá, Sergio Barrachina Mir, Héctor Martínez Pérez, Adrián Castelló Gimeno, Antonio Maciá, Germán Fabregat Llueca, Andrés Enrique Tomás Domínguez. JOURNAL OF SUPERCOMPUTING . Vol. 79. pp. 9819-9836. 2023. Científic.

• Reformulating the direct convolution for high-performance deep learning inference on ARM processors

  Sergio Barrachina Mir, Adrián Castelló Gimeno, Manuel Francisco Dolz Zaragozá, Tze Meng Low, Héctor Martínez Pérez, Enrique S. Quintana-Ortí, Upasana Sridhar, Andrés Enrique Tomás Domínguez. JOURNAL OF SYSTEMS ARCHITECTURE . Vol. 135. pp. 1-13. 2023. Científic.

• Efficient and portable GEMM-based convolution operators for deep neural network training on multicore processors

  Sergio Barrachina Mir, Manuel Francisco Dolz Zaragozá, Pablo San Juan, Enrique S. Quintana-Ortí. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING . Vol. 167. pp. 240-254. 2022. Científic.

• BestOf: an online implementation selector for the training and inference of deep neural networks

  Sergio Barrachina Mir, Adrián Castelló, Manuel Francisco Dolz Zaragozá, Andrés E. Tomás. JOURNAL OF SUPERCOMPUTING . Num. 17. Vol. 78. pp. 17543-17558. 2022. Científic.

• High performance and energy efficient inference for deep learning on multicore ARM processors using general optimization techniques and BLIS

  Adrián Castelló, Sergio Barrachina Mir, Manuel Francisco Dolz Zaragozá, Enrique S. Quintana-Ortí, Pau San Juan, Andrés Enrique Tomás Domínguez. JOURNAL OF SYSTEMS ARCHITECTURE . Vol. 125. pp. 1-9. 2022. Científic.

• Analyzing the impact of the MPI allreduce in distributed training of convolutional neural networks

  Adrián Castelló, Mar Catalán Carbó, Manuel Francisco Dolz Zaragozá, Enrique S. Quintana-Ortí, José Duato. COMPUTING. Num. 5. Vol. 105. pp. 1101-1119. 2023. Científic.

• Using machine learning to model the training scalability of convolutional neural networks on clusters of GPUs

  Sergio Barrachina Mir, Adrián Castelló Gimeno, Mar Catalán Carbó, Manuel Francisco Dolz Zaragozá, Jose Ignacio Mestre Miravet. COMPUTING. Num. 5. Vol. 105. pp. 915-934. 2023. Científic.

• PyDTNN: A user-friendly and extensible framework for distributed deep learning

  Sergio Barrachina Mir, Adrián Castelló Gimeno, Mar Catalán Carbó, Manuel Francisco Dolz Zaragozá, Jose Ignacio Mestre Miravet. JOURNAL OF SUPERCOMPUTING . Num. 9. Vol. 77. pp. 9971-9987. 2021. Científic.

• Convolutional neural nets for estimating the run time and energy consumption of the sparse matrix-vector product

  Maria Barreda Vayà, Manuel Francisco Dolz Zaragozá, María Asuncion Castaño Álvarez. INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS . Num. 3. Vol. 35. pp. 268-281. 2021. Científic.

• Performance modeling of the sparse matrix–vector product via convolutional neural networks

  Maria Barreda Vayà, Manuel Francisco Dolz Zaragozá, María Asuncion Castaño Álvarez, Pedro Alonso-Jordá, Enrique Salvador Quintana Ortí. JOURNAL OF SUPERCOMPUTING . Num. 11. Vol. 76. pp. 8883-8900. 2020. Científic.

• Exploring stream parallel patterns in distributed MPI environments

  Javier López-Gómez, Javier Fernández Muñoz, David del Rio Astorga, Manuel Francisco Dolz Zaragozá, J. Daniel Garcia. PARALLEL COMPUTING . Vol. 84. pp. 24-36. 2019. Científic.

• Detecting semantic violations of lock-free data structures through C++ contracts

  Javier López-Gómez, David del Rio Astorga, Manuel Francisco Dolz Zaragozá, Javier Fernández. JOURNAL OF SUPERCOMPUTING . Vol. 76. pp. 5057-5078. 2020. Científic.

• A pipeline for the QR update in digital signal processing

  Manuel Francisco Dolz Zaragozá, Fran J. Alventosa, Pedro Alonso-Jordá, Antonio M. Vidal. COMPUTATIONAL AND MATHEMATICAL METHODS. Num. 1. Vol. 2. 2020. Científic.

• A pipeline structure for the block QR update in digital signal processing

  Manuel Francisco Dolz Zaragozá, Fran J. Alventosa, Pedro Alonso Jorda, Antonio M. Vidal. JOURNAL OF SUPERCOMPUTING . Num. 3. Vol. 75. pp. 1470-1482. 2019. Científic.

• An adaptive offline implementation selector for heterogeneous parallel platforms

  David del Rio Astorga, Manuel Francisco Dolz Zaragozá, Luis Miguel Sánchez, Javier Fernández, J Daniel García. INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS . Num. 6. Vol. 32. pp. 854-863. 2018. Científic.

• Finding parallel patterns through static analysis in C++ applications

  David del Rio Astorga, Manuel Francisco Dolz Zaragozá, Luis Miguel Sánchez, J Daniel García, Marco Danelutto, Massimo Torquati. INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS . Num. 6. Vol. 32. pp. 779-788. 2018. Científic.

• Paving the way towards high-level parallel pattern interfaces for data stream processing

  David del Rio Astorga, Manuel Francisco Dolz Zaragozá, Javier Fernández, J. Daniel García. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF GRID COMPUTING-THEORY METHODS AND APPLICATIONS. Vol. 87. pp. 228-241. 2018. Científic.

• Towards Automatic Parallelization of Stream Processing Applications

  Manuel Francisco Dolz Zaragozá, David Del Rio Astorga, Javier Fernández, J. Daniel García, Jesús Carretero. IEEE ACCESS. Vol. 6. pp. 39944-39961. 2018. Científic.

• A similarity study of I/O traces via string kernels

  Raul Torres, Julian M. Kunkel, Manuel Francisco Dolz Zaragozá, Thomas Ludwig. JOURNAL OF SUPERCOMPUTING . Num. 12. Vol. 75. pp. 7814-7826. 2019. Científic.

• Understanding hardware and software metrics with respect to power consumption

  Julian Kunkel, Manuel Francisco Dolz Zaragozá. SUSTAINABLE COMPUTING. Vol. 17. pp. 43-54. 2018. Científic.

• Energy monitoring as an essential building block towards sustainable ultrascale systems

  Francisco Almeida, Marcos D. Assunção, Jorge Barbosa, Vicente Blanco, Ivona Brandic, Georges Da Costa, Manuel Francisco Dolz Zaragozá, Anne C. Elster, Mateusz Jarus, Helen D. Karatza, Laurent Lefèvre, Ilias Mavridis, Ariel Oleksiak, Anne-Cécile Orgerie, Jean-Marc Pierson. SUSTAINABLE COMPUTING. Vol. 17. pp. 27-42. 2018. Científic.

• A generic parallel pattern interface for stream and data processing

  David del Rio Astorga, Manuel Francisco Dolz Zaragozá, Javier Fernández, J. Daniel García. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE. Num. 24. Vol. 29. 2017. Científic.

• Hybrid static–dynamic selection of implementation alternatives in heterogeneous environments

  D. del Rio Astorga, Manuel Francisco Dolz Zaragozá, Javier Fernandez, Javier Garcia Blas. JOURNAL OF SUPERCOMPUTING . Num. 8. Vol. 75. pp. 4098-4113. 2019. Científic.

• Enabling semantics to improve detection of data races and misuses of lock‐free data structures

  Manuel Francisco Dolz Zaragozá, David Del Rio Astorga, Javier Fernández, Massimo Torquati, José Daniel García, Félix García‐Carballeira, Marco Danelutto. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE. Num. 15. Vol. 29. 2017. Científic.

• Analyzing the energy consumption of the storage data path

  Pablo Llopis, Manuel Francisco Dolz Zaragozá, Javier García Blas, Florin Isaila, Mohammad Reza Heidari, Michael Kuhn. JOURNAL OF SUPERCOMPUTING . Num. 11. Vol. 72. pp. 4089-4106. 2016. Científic.

• An analytical methodology to derive power models based on hardware and software metrics

  Manuel Francisco Dolz Zaragozá, Julian Kunkel, Konstantinos Chasapis, Sandra Catalán Pallarés. COMPUTER SCIENCE - RESEARCH AND DEVELOPMENT. Num. 4. Vol. 31 . 2016. Científic.

• Adapting concurrency throttling and voltage-frequency scaling for dense eigensolvers

  José Ignacio Aliaga Estellés, Maria Barreda Vayà, María Asuncion Castaño Álvarez, Manuel Francisco Dolz Zaragozá, Enrique Salvador Quintana Ortí. JOURNAL OF SUPERCOMPUTING . Num. 1. Vol. 73. pp. 29-43. 2017. Científic.

• Balancing task- and data-level parallelism to improve performance and energy consumption of matrix computations on the Intel Xeon Phi

  Manuel Francisco Dolz Zaragozá, F.D. Igual, T. Ludwig, L. Piñuel, Enrique Salvador Quintana Ortí. COMPUTERS & ELECTRICAL ENGINEERING. Vol. 46 . pp. 95-111. 2015. Científic.

• Block pivoting implementation of a symmetric Toeplitz solver

  Pedro Alonso, Manuel Francisco Dolz Zaragozá, Antonio M. Vidal. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING . Num. 5. Vol. 74. pp. 2392-2399. 2014. Científic.

• Tools and methods for measuring and tuning the energy efficiency of HPC systems

  Robert Schöne, Jan Treibig, Manuel Francisco Dolz Zaragozá, Carla Guillen, Carmen Navarrete, Michael Knobloch, Barry Rountree. Scientific Programming. Num. 4. Vol. 22. pp. 273-283. 2014. Científic.

• Enhancing performance and energy consumption of runtime schedulers for dense linear algebra

  P. Alonso, Manuel Francisco Dolz Zaragozá, F.D. Igual, Rafael Mayo Gual, Enrique Salvador Quintana Ortí. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE. Num. 15. Vol. 26 . pp. 2591-2611. 2014. Científic.

• Assessing Power Monitoring Approaches for Energy and Power Analysis of Computers

  M. El Mehdi Diouri, Manuel Francisco Dolz Zaragozá, O. Glück, L. Lefèvre, P. Alonso, Sandra Catalán Pallarés, Rafael Mayo Gual, Enrique Salvador Quintana Ortí. SUSTAINABLE COMPUTING. Num. 2. Vol. 4 . pp. 68-82. 2014. Científic.

• Modeling power and energy of the task-parallel Cholesky factorization on multicore processors

  P. Alonso, Manuel Francisco Dolz Zaragozá, Rafael Mayo Gual, Enrique Salvador Quintana Ortí. COMPUTER SCIENCE - RESEARCH AND DEVELOPMENT. Num. 2. Vol. 29 . pp. 105-112. 2014. Científic.

• Modeling power and energy consumption of dense matrix factorizations on multicore processors

  P. Alonso, Manuel Francisco Dolz Zaragozá, Rafael Mayo Gual, Enrique Salvador Quintana Ortí. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE. Num. 17. Vol. 26 . pp. 2743-2757. 2014. Científic.

• Assessing the impact of the CPU power-saving modes on the task-parallel solution of sparse linear systems

  José Ignacio Aliaga Estellés, Maria Barreda Vayà, Manuel Francisco Dolz Zaragozá, A.F. Martín, Rafael Mayo Gual, Enrique Salvador Quintana Ortí. CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS. Num. 4. Vol. 17 . pp. 1335-1348. 2014. Científic.

• Energy-efficient execution of dense linear algebra algorithms on multi-core processors

  P. Alonso, Manuel Francisco Dolz Zaragozá, Rafael Mayo Gual, Enrique Salvador Quintana Ortí. CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS. Num. 3. Vol. 16 . pp. 497-509. 2013. Científic.

• DVFS-control techniques for dense linear algebra operations on multi-core processors

  P. Alonso, Manuel Francisco Dolz Zaragozá, F.D. Igual, Rafael Mayo Gual, Enrique Salvador Quintana Ortí. COMPUTER SCIENCE - RESEARCH AND DEVELOPMENT. Num. 4. Vol. 27 . pp. 289-298. 2012. Científic.

Capítols de llibre

• Energy-Aware High Performance Computing

  Martin Wlotzka, Vincent Heuveline, Manuel Francisco Dolz Zaragozá, M. Reza Heidari, Thomas Ludwig, A. Cristiano I. Malossi, Enrique Salvador Quintana Ortí. ICT-Energy Concepts for Energy Efficiency and Sustainability / TIC-Conceptos de energía para la eficiencia energética y la sostenibilidad. Londres (Regne Unit). Ed. InTech. 2017. ISBN 9789535130116. Científic.

Aportacions a congressos

• OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection

  Alberto Fernández Hernández, Jose Ignacio Mestre Miravet, Manuel Francisco Dolz Zaragozá, José Duato, Enrique S. Quintana-Ortí. 2025 International Conference on Advanced Machine Learning and Data Science (AMLDS). Tokyo (Japó). 19-07-2025. Científic. 2025. Ed. IEEE. Proceedings of 2025 Intenational Conference on Advanced Machine Learning and Data Science. ISBN 9798331510985.

• Una variante de Ok-Topk para el entrenamiento de Redes Neuronales en entornos distribuidos de CPUs

  Miguel Pardo Navarro, José Ignacio Aliaga Estellés, Manuel Francisco Dolz Zaragozá. Jornadas SARTECO 2025. Sevilla (Espanya). 25-06-2025. Científic. 2025. Ed. Sarteco. Avances en arquitectura y tecnología de computadores. Actas de las Jornadas SARTECO 2025. ISBN 9788409745302.

• Decoupling Structural and Quantitative Knowledge in ReLU-based Deep Neural Networks

  José Duato, Jose Ignacio Mestre Miravet, Manuel Francisco Dolz Zaragozá, Enrique S. Quintana-Ortí, José Cano. EuroMLSys '25. Rotterdam (Països Baixos). 30-03-2025. Científic. 2025. Ed. Association for Computing Machinery (ACM). EuroMLSys '25: Proceedings of the 5th Workshop on Machine Learning and Systems. ISBN 9798400715389.

• Convolution Operators for Deep Learning Inference on the Fujitsu A64FX Processor

  Manuel Francisco Dolz Zaragozá, Héctor Martínez Pérez, Pedro Alonso, Enrique Salvador Quintana Ortí. 2022 IEEE 34th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD). Bordeaux (França). 02-11-2022. Científic. 2022. Ed. IEEE. Actas 2022 IEEE 34th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD). Col·lecció International Symposium on Computer Architecture and High Performance Computing. ISBN 9781665451550.

• Towards Portable Realizations of Winograd-based Convolution with Vector Intrinsics and OpenMP

  Manuel Francisco Dolz Zaragozá, Adrián Castelló, Enrique S. Quintana-Ortí. 2022 30th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP). Valladolid (Espanya). 09-03-2022. Científic. 2022. Ed. IEEE. Actas 2022 30th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP). ISBN 9781665469586.

• Mejora de los Modelos Predictivos para la Comunicación Colectiva MPI Allreduce

  Adrián Castelló Gimeno, Mar Catalán Carbó, Manuel Francisco Dolz Zaragozá, Enrique S. Quintana-Ortí, José Duato. VI Congreso Español de Informática (CEDI 20/21) / Jornadas Sarteco XXXI de Paralelismo (JP20/21) / V Jornadas de Computación Empotrada y Reconfigurable (JCER20/21). Málaga (Espanya). 22-09-2021. Científic. 2021. Ed. Autoeditado por Comité congreso. Avances en Arquitectura y Tecnología de Computadores. Actas de las Jornadas SARTECO 20/21. ISBN 9788409324873.

• PyDTNN: Entorno para Entrenamiento e Inferencia con Redes Neuronales Profundas

  Sergio Barrachina Mir, Adrián Castelló Gimeno, Mar Catalán Carbó, Manuel Francisco Dolz Zaragozá, Jose Ignacio Mestre Miravet, Cristian Ramírez, David Rodríguez. VI Congreso Español de Informática (CEDI 20/21) / Jornadas Sarteco XXXI de Paralelismo (JP20/21) / V Jornadas de Computación Empotrada y Reconfigurable (JCER20/21). Málaga (Espanya). 22-09-2021. Científic. 2021. Ed. Autoeditado por Comité congreso. Avances en Arquitectura y Tecnología de Computadores. Actas de las Jornadas SARTECO 20/21. ISBN 9788409324873.

• A Flexible Research-Oriented Framework for Distributed Training of Deep Neural Networks

  Sergio Barrachina Mir, Adrián Castelló Gimeno, Mar Catalán Carbó, Manuel Francisco Dolz Zaragozá, Jose Ignacio Mestre Miravet. IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW). Portland, OR (Estats Units de l'Amèrica del Nord). 17-06-2021. Científic. 2021. Ed. IEEE. IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW 2021) . ISBN 9781665411929.

• Evaluation of MPI Allreduce for Distributed Training of Convolutional Neural Networks

  Adrián Castelló Gimeno, Mar Catalán Carbó, Manuel Francisco Dolz Zaragozá, Jose Ignacio Mestre Miravet, Enrique S. Quintana Ortí, José Duato. 29th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP 2021). Valladolid (Espanya). 10-03-2021. Científic. 2021. Ed. IEEE. Proceedings of the 29th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP 2021). ISBN 9781665447645.

• Performance Modeling for Distributed Training of Convolutional Neural Networks

  Adrián Castelló Gimeno, Mar Catalán Carbó, Manuel Francisco Dolz Zaragozá, Jose Ignacio Mestre Miravet, Enrique S. Quintana-Ortí, José Duato. 29th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP 2021). Valladolid (Espanya). 10-03-2021. Científic. 2021. Ed. IEEE. Proceedings of the 29th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP 2021). ISBN 9781665447645.

• High Performance and Portable Convolution Operators for Multicore Processors

  Pablo San Juan, Adrián Castelló Gimeno, Manuel Francisco Dolz Zaragozá, Pedro Alonso-Jordá, Enrique S. Quintana-Ortí. 2020 IEEE 32nd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD). Porto (Portugal). 09-09-2020. Científic. 2020. Ed. IEEE. Proceedings of the 32nd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2020). ISBN 9781728199245.

• Un Simulador de Paralelismo de Modelo para Redes Neuronales

  Adrián Castelló Gimeno, Manuel Francisco Dolz Zaragozá, Enrique Salvador Quintana Ortí, José Duato. XXX Jornadas de Paralelismo (JP2019) y las IV Jornadas de Computación Empotrada y Reconfigurable (JCER2019)/ JornadasSociedad de Arquitectura y Tecnología de Computadores (SARTECO 2019). Cáceres (Espanya). 18-09-2019. Científic. 2019. Ed. Universidad de Extremadura. Avances en Arquitectura y Tecnología de Computadores. Actas de las Jornadas SARTECO 2019. ISBN 9788409121274.

• Redes Neuronales Convolucionales para el Modelado del Rendimiento del Producto Matriz–Vector Disperso

  Maria Barreda Vayà, Manuel Francisco Dolz Zaragozá, María Asuncion Castaño Álvarez, Pedro Alonso-Jordá, Enrique Salvador Quintana Ortí. XXX Jornadas de Paralelismo (JP2019) y las IV Jornadas de Computación Empotrada y Reconfigurable (JCER2019)/ JornadasSociedad de Arquitectura y Tecnología de Computadores (SARTECO 2019). Cáceres (Espanya). 18-09-2019. Científic. 2019. Ed. Universidad de Extremadura. Avances en Arquitectura y Tecnología de Computadores. Actas de las Jornadas SARTECO 2019. ISBN 9788409121274.

• Analysis of model parallelism for distributed neural networks

  Adrián Castelló Gimeno, Manuel Francisco Dolz Zaragozá, Enrique Salvador Quintana Ortí, José Duato. 26th European MPI Users' Group Meeting (EuroMPI 2019). Zürich (Suïssa). 11-09-2019. Científic. 2019. Ed. Association for Computing Machinery (ACM). Proceedings of the 26th European MPI Users' Group Meeting (EuroMPI 2019). ISBN 9781450371759.

• Theoretical Scalability Analysis of Distributed Deep Convolutional Neural Networks

  Adrián Castelló Gimeno, Manuel Francisco Dolz Zaragozá, Enrique Salvador Quintana Ortí, José Duato. 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID 2019). Larnaca (Xipre). 14-05-2019. Científic. 2019. Ed. IEEE. 19th Annual IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing (CCGRID). Col·lecció IEEE-ACM International Symposium on Cluster Cloud and Grid Computing. ISBN 9781728109138.

• Comparison of Clang Abstract Syntax Trees using String Kernels

  Raul Torres, Thomas Ludwig, Julian M. Kunkel, Manuel Francisco Dolz Zaragozá. 16th International Conference on High Performance Computing and Simulation (HPCS 2018). Orleans (França). 16-07-2018. Científic. 2018. Ed. IEEE. Proceedings of the 16th International Conference on High Performance Computing and Simulation (HPCS 2018). ISBN 9781538678787.

• Supporting MPI-distributed stream parallel patterns in GrPPI

  Javier Fernández Muñoz, Manuel Francisco Dolz Zaragozá, David del Rio Astorga, Javier Prieto Cepeda, J. Daniel García. 25th European MPI Users' Group Meeting (EuroMPI 2018). Barcelona (Espanya). 23-09-2018. Científic. 2018. Ed. Association for Computing Machinery (ACM). Proceedings of the 25th European MPI Users' Group Meeting (EuroMPI 2018). Col·lecció ACM International Conference Proceeding Series. ISBN 9781450364928.

• Parallelizing and Optimizing LHCb-Kalman for Intel Xeon Phi KNL Processors

  Plácido Fernández, David del Rio Astorga, Manuel Francisco Dolz Zaragozá, Javier Fernández, Omar Awile, J. Daniel García. 26th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP 2018). Cambridge (Regne Unit). 21-03-2018. Científic. 2018. Ed. IEEE. Proceedings of the 26th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP 2018). ISBN 9781538649756.

• A Novel String Representation and Kernel Function for the Comparison of I/O Access Patterns

  Raul Torres, Julian Kunkel, Manuel Francisco Dolz Zaragozá, Thomas Ludwig. 14th International Conference on Parallel Computing Technologies (PaCT 2017). Nizhny Novgorod (Rússia). 04-09-2017. Científic. 2017. ISSN 0302-9743.

• Supporting Advanced Patterns in GrPPI, a Generic Parallel Pattern Interface

  David del Rio Astorga, Manuel Francisco Dolz Zaragozá, Javier Fernández, J. Daniel García. International Workshops on Parallel Processing, (Euro-Par 2017). Santiago de Compostela (Espanya). 28-08-2017. Científic. 2017. ISSN 0302-9743.

• Probabilistic-Based Selection of Alternate Implementations for Heterogeneous Platforms

  Javier Fernández, Andrés Sánchez Cuadrado, David del Rio Astorga, Manuel Francisco Dolz Zaragozá, J. Daniel García. 17th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2017). Helsinki (Finlàndia). 21-08-2017. Científic. 2017. Ed. Springer. Algorithms and Architectures for Parallel Processing (Proceedings 17th International Conference, ICA3PP 2017). Col·lecció Lecture Notes in Computer Science, vol 10393. ISBN 9783319654812.

• CID: A Compile-Time Implementation Decider for Heterogeneous Platforms Based on C++ Attributes

  Luis Miguel Sanchez, David del Rio Astorga, Manuel Francisco Dolz Zaragozá, Javier Fernández. 13th IEEE International Conferences on Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld 2017)). Toulouse (França). 18-07-2016. Científic. 2017. Ed. IEEE. Proceedings of the 13th IEEE International Conferences on Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress. ISBN 9781509027705.

• Porting MATLAB Applications to High-Performance C++ Codes: CPU/GPU-Accelerated Spherical Deconvolution of Diffusion MRI Data

  Javier Garcia Blas, Manuel Francisco Dolz Zaragozá, J. Daniel Garcia, Jesus Carretero, Alessandro Daducci, Yasser Aleman, Erick Jorge Canales-Rodriguez. 16th international conference on Algorithms and Architectures for Parallel Processing (ICA3PP2016). Granada (Espanya). 14-12-2016. Científic. 2016. Ed. Springer. Algorithms and architectures for parallel processing (16th International Conference, ICA3PP 2016). Col·lecció Lecture Notes in Computer Science, vol 10048. ISBN 9783319495828.

• A C++ Generic Parallel Pattern Interface for Stream Processing

  David del Rio Astorga, Manuel Francisco Dolz Zaragozá, Luis Miguel Sanchez, Javier García Blas, J. Daniel García. 16th international conference on Algorithms and Architectures for Parallel Processing (ICA3PP2016). Granada (Espanya). 14-12-2016. Científic. 2016. Ed. Springer. Algorithms and architectures for parallel processing (16th International Conference, ICA3PP 2016). Col·lecció Lecture Notes in Computer Science, vol 10048. ISBN 9783319495828.

• Embedding Semantics of the Single-Producer/Single-Consumer Lock-Free Queue into a Race Detection Tool

  Manuel Francisco Dolz Zaragozá, David del Rio Astorga, Javier Fernández, J. Daniel García, Félix García-Carballeira, Marco Danelutto, Massimo Torquati. 7th International Workshop on Programming Models and Applications for Multicores and Manycores (PMAM'16). Barcelona (Espanya). 12-03-2016. Científic. 2016. Ed. Association for Computing Machinery (ACM). Proceedings of the 7th International Workshop on Programming Models and Applications for Multicores and Manycores (PMAM 2016). ISBN 9781450319089.

• Discovering Pipeline Parallel Patterns in Sequential Legacy C++ Codes

  David del Rio Astorga, Manuel Francisco Dolz Zaragozá, Luis Miguel Sanchez, J. Daniel García. 7th International Workshop on Programming Models and Applications for Multicores and Manycores (PMAM'16). Barcelona (Espanya). 12-03-2016. Científic. 2016. Ed. Association for Computing Machinery (ACM). Proceedings of the 7th International Workshop on Programming Models and Applications for Multicores and Manycores (PMAM 2016). ISBN 9781450319089.

• Analyzing Power Consumption of I/O Operations in HPC Applications

  Pablo Llopis Sanmillán, Manuel Francisco Dolz Zaragozá, Francisco Javier García Blas, Florin Daniel Isaila, Jesús Carretero Pérez, Mohammad Reza Heidari, Michael Kuhn. Second International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2015). Krakow (Polònia). 10-09-2015. Científic. 2015. Ed. Autoeditado por Comité congreso. Proceedings of the Second International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2015). ISBN 9788460825814.

• ARDUPOWER: A Low-cost Wattmeter to improve Energy Efficiency of HPC Applications

  Manuel Francisco Dolz Zaragozá, Mohammad Reza Heidari, Michael Kuhn, Thomas Ludwig, Germán Fabregat Llueca. Sixth International Green and Sustainable Computing Conference. Las Vegas (Estats Units de l'Amèrica del Nord). 14-12-2015. Científic. 2015. Ed. IEEE. Sixth International Green and Sustainable Computing Conference. ISBN 9781509001729.

• Evaluating the performance and energy efficiency of the COSMO-ART model system

  Joseph Charles, William Sawyer, Manuel Francisco Dolz Zaragozá, Sandra Catalán Pallarés. Fifth International Conference on Energy-Aware High Performance Computing - EnA-HPC 2014. Dresden (Alemanya). 01-09-2014. Científic. 2015. ISSN 1865-2034.

• Strategies for Adapting Concurrency Throttlin and Voltage-Frequency Scaling for Dense Eigensolvers

  José Ignacio Aliaga Estellés, Maria Barreda Vayà, María Asuncion Castaño Álvarez, Manuel Francisco Dolz Zaragozá, Enrique Salvador Quintana Ortí. 15th International Conference on Computational and Mathematical Methods in Science and Engineering (CMMSE 2015). Costa Ballena (Rota), Cádiz (Espanya). 06-07-2015. Científic. 2015. Ed. Computational and Mathematical Methods in Science and Engineering (CMMSE). 15th International Conference on Computational and Mathematical Methods in Science and Engineering (CMMSE 2015). ISBN 9788461722303.

• Are our dense linear algebra libraries energy-friendly?

  José Ignacio Aliaga Estellés, Maria Barreda Vayà, Manuel Francisco Dolz Zaragozá, Enrique Salvador Quintana Ortí. Fifth International Conference on Energy-Aware High Performance Computing - EnA-HPC 2014. Dresden (Alemanya). 01-09-2014. Científic. 2015. ISSN 1865-2034.

• Evaluating Lustre's Metadata Server on a Multi-Socket Platform

  Konstantinos Chasapis, Manuel Francisco Dolz Zaragozá, Michael Kuhn, Thomas Ludwig. 9th Parallel Data Storage Workshop (PDSW 2014). New Orleans (Estats Units de l'Amèrica del Nord). 16-11-2014. Científic. 2014. Ed. IEEE. 9th Parallel Data Storage Workshop (PDSW 2014). ISBN 9781479970254.

• Evaluating Power-Performace Benefits of Data Compression in HPC Storage Servers

  Konstantinos Chasapis, Manuel Francisco Dolz Zaragozá, Michael Kuhn, Thomas Ludwig. The Fourth International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies (ENERGY 2014). Chamonix (França). 20-04-2014. Científic. 2014. Ed. Autoeditado por Comité congreso. The Fourth International conference on Smart Grids, Green Communications and IT Energy-aware Technologies (ENERGY 2014). ISBN 9781612083322.

• Automatic detection of power bottlenecks in parallel scientific applications

  Maria Barreda Vayà, Sandra Catalán Pallarés, Manuel Francisco Dolz Zaragozá, Rafael Mayo Gual, Enrique Salvador Quintana Ortí. Fourth International Conference on Energy-Aware High Performance Computing (ENA-HPC 2013). Dresden (Alemanya). 02-09-2013. Científic. 2014. ISSN 1865-2034.

• An Integrated Framework for Power-Performance Analysis of Parallel Scientific Workloads

  Sergio Barrachina Mir, Maria Barreda Vayà, Sandra Catalán Pallarés, Manuel Francisco Dolz Zaragozá, Germán Fabregat Llueca, Rafael Mayo Gual, Enrique Salvador Quintana Ortí. The Third International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies. Lisboa (Portugal). 24-03-2013. Científic. 2013. Ed. International Academy, Research and Industry Association (IARIA). The Third International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies. ISBN 9781612082592.

• Detección Automática de Cuellos de Botella de Potencia en Aplicaciones Científicas Paralelas

  Maria Barreda Vayà, Sandra Catalán Pallarés, Manuel Francisco Dolz Zaragozá, Rafael Mayo Gual, Enrique Salvador Quintana Ortí. XXIV Jornadas de Paralelismo (JP2013). Madrid (Espanya). 17-09-2013. Científic. 2013. Ed. Universidad Complutense de Madrid. XXIV Jornadas de Paralelismo (JP2013). ISBN 9788469583302.

• Solving Some Mysteries in Power Monitoring of Servers: Take Care of Your Wattmeters!

  M. El Mehdi Diouri, Manuel Francisco Dolz Zaragozá, O. Glück, L. Lefèvre, P. Alonso, Sandra Catalán Pallarés, Rafael Mayo Gual, Enrique Salvador Quintana Ortí. Energy Efficiency in Large Scale Distributed Systems (COST IC080 European Conference Energy Efficiency in Large Scale Distributed Systems - EE-LSDS 2013). Vienna (Àustria). 22-04-2013. Científic. 2013. Ed. Springer. Energy Efficiency in Large Scale Distributed Systems (COST IC080 European Conference Energy Efficiency in Large Scale Distributed Systems - EE-LSDS 2013). ISBN 9783642405167.

• Runtime Scheduling of the LU Factorization: Performance and Energy

  P. Alonso, Manuel Francisco Dolz Zaragozá, F.D. Igual, Enrique Salvador Quintana Ortí, Rafael Mayo Gual. Energy Efficiency in Large Scale Distributed Systems (COST IC080 European Conference Energy Efficiency in Large Scale Distributed Systems - EE-LSDS 2013). Vienna (Àustria). 22-04-2013. Científic. 2013. Ed. Springer. Energy Efficiency in Large Scale Distributed Systems (COST IC080 European Conference Energy Efficiency in Large Scale Distributed Systems - EE-LSDS 2013). ISBN 9783642405167.

• Saving Energy in the LU Factorization with Partial Pivoting on Multi-Core Processors

  P. Alonso, Manuel Francisco Dolz Zaragozá, Francisco Daniel Igual Peña, Rafael Mayo Gual, Enrique Salvador Quintana Ortí. 20th Euromicro International Conference on Parallel, Distributed and Network-Based Processing. Garching (Alemanya). 15-02-2012. Científic. 2012. Ed. IEEE. 20th Euromicro International Conference on Parallel, Distributed and Network-Based Processing. ISBN 9780769546339.

• Tracing the Power and Energy Consumption of the QR Factorization on Multicores Processors

  Maria Barreda Vayà, Sandra Catalán Pallarés, Manuel Francisco Dolz Zaragozá, Rafael Mayo Gual, Enrique Salvador Quintana Ortí. 12th International Conference on Computational and Mathematical Methods in Science and Engineering (CMMSE 2012). La Manga, Murcia (Espanya). 02-07-2012. Científic. 2012. Ed. Computational and Mathematical Methods in Science and Engineering (CMMSE). 12th International Conference on Computational and Mathematical Methods in Science and Engineering (CMMSE 2012). ISBN 9788461553921.

• Tools for Power-Energy Modelling and Analysis of Parallel Scientific Applicaions

  P. Alonso, R.M. Badia, J. Labarta, Maria Barreda Vayà, Manuel Francisco Dolz Zaragozá, Rafael Mayo Gual, Enrique Salvador Quintana Ortí, Ruyman Reyes Castro. The 41st International Conferene on Parallel Processing. Pittsburgh, Pennsylvania (Estats Units de l'Amèrica del Nord). 10-09-2012. Científic. 2012. Ed. IEEE. The 41st International Conferene on Parallel Processing. ISBN 9781467325080.

• Binding Performance and Power of Dense Linear Algebra Operations

  Maria Barreda Vayà, Manuel Francisco Dolz Zaragozá, Rafael Mayo Gual, Enrique Salvador Quintana Ortí, Ruyman Reyes Castro. 2012 10th IEEE International Symposium on Parallel and Distributed Processing with Applications. Madrid (Espanya). 10-06-2012. Científic. 2012. Ed. IEEE. 2012 10th IEEE International Symposium on Parallel and Distributed Processing with Applications. ISBN 9780769547015.

• Leveraging Task-Parallelism in Energy-Efficient ILU Preconditioners

  José Ignacio Aliaga Estellés, Manuel Francisco Dolz Zaragozá, A.F. Martín, Rafael Mayo Gual, Enrique Salvador Quintana Ortí. 2nd International Conference on ICT as a Key Technology Against Global Warming, ICT-GLOW 2012. Vienna (Àustria). 20-06-2011. Científic. 2012. ISSN 0302-9743.

• A Simulator to Assess Energy Saving Strategies and Policies in HPC Workloads

  Manuel Francisco Dolz Zaragozá, Juan Carlos Fernández Fernández, Sergio Iserte Agut, Rafael Mayo Gual, Enrique Salvador Quintana Ortí. 12th International Workshop on Green Computing Middleware - GCM'11 (extended versions). Lisboa (Portugal). 12-12-2011. Científic. 2012. ISSN 0163-5980.

• Reducing Energy Consumption of Dense Linear Algebra Operations on Hybrid CPU-GPU Platforms

  P. Alonso, Manuel Francisco Dolz Zaragozá, Francisco Daniel Igual Peña, Rafael Mayo Gual, Enrique Salvador Quintana Ortí. 2012 10th IEEE International Symposium on Parallel and Distributed Processing with Applications. Madrid (Espanya). 10-06-2012. Científic. 2012. Ed. IEEE. 2012 10th IEEE International Symposium on Parallel and Distributed Processing with Applications. ISBN 9780769547015.

• Un Entorno de Análisis del Consumo de Aplicaciones Paralelas

  Maria Barreda Vayà, Manuel Francisco Dolz Zaragozá, Rafael Mayo Gual, Enrique Salvador Quintana Ortí. XXIII Jornadas de Paralelismo. Elche (Alicante) (Espanya). 19-09-2012. Científic. 2012. Ed. Universidad Miguel Hernández. XXIII Jornadas de Paralelismo. ISBN 9788469544716.

• EnergySaving Cluster experience in CETA-CIEMAT

  Manuel Francisco Dolz Zaragozá, Juan Carlos Fernández Fernández, Sergio Iserte Agut, Rafael Mayo Gual, Enrique Salvador Quintana Ortí, M.E. Cotallo, G. Díaz. 5th Iberian Grid Infrastructure Conference Proceedings (IBERGRID2011). Oleiros, La Coruña (Espanya). 08-06-2011. Científic. 2011. Ed. Netbiblo. 5th Iberian Grid Infrastructure Conference Proceedings (IBERGRID2011). ISBN 9788497458849.

• Improving Power Efficiency of Dense Linear Algorithms on Multi-Core Processors via Slack Control

  Manuel Francisco Dolz Zaragozá, Rafael Mayo Gual, Enrique Salvador Quintana Ortí, P. Alonso. Proceedings of the 2011 International Conference on High Performance Computing & Simulation (HP. Istanbul (Turquia). 04-07-2011. Científic. 2011. Ed. IEEE. Proceedings of the 2011 International Conference on High Performance Computing & Simulation (HP. ISBN 9781612843827.

• Evaluation of the Energy Performance of Dense Linear Algebra Kernels on Multi-Core and Many-Core Processors

  María Isabel Castillo Catalán, Manuel Francisco Dolz Zaragozá, Juan Carlos Fernández Fernández, Rafael Mayo Gual, Enrique Salvador Quintana Ortí, Vicente Ramón Roca Sanz. 25 th IEEE International Parallel & Distributed Procesing Symposium. Anchorage, Alaska, USA. 16-05-2011. Científic. 2011. Ed. IEEE. 25 th IEEE International Parallel & Distributed Procesing Symposium. ISBN 9780769543857.

• A Flexible Simulator to Evaluate a Power Saving System for HPC Clusters

  Manuel Francisco Dolz Zaragozá, Juan Carlos Fernández Fernández, Sergio Iserte Agut, Rafael Mayo Gual, Enrique Salvador Quintana Ortí. Proceedings (12th International Workshop on Green Computing Middleware - GCM'11). Lisboa (Portugal). 12-12-2011. Científic. 2011. Ed. Association for Computing Machinery (ACM). Proceedings (12th International Workshop on Green Computing Middleware - GCM'11). ISBN 9781450310642.

• Power-aware dense linear algebra implementations on multi-core and many-core processors

  P. Alonso, Manuel Francisco Dolz Zaragozá, Francisco Daniel Igual Peña, B. Marker, Rafael Mayo Gual, Enrique Salvador Quintana Ortí, R.A. Van de Geijn. 3rd Many-core Applications Reserach Community (MARC) Symposium. Ettlingen (Alemanya). 05-06-2011. Científic. 2011. Ed. KIT Scientific Publishing. 3rd Many-core Applications Reserach Community (MARC) Symposium. ISBN 9783866447172.

• Energy Saving Cluster Roll: Power Saving System for Clusters

  Manuel Francisco Dolz Zaragozá, Juan Carlos Fernández Fernández, Rafael Mayo Gual, Enrique Salvador Quintana Ortí. 23rd International Conference on Architecture of Computing Systems, ARCS 2010. Hannover (Alemanya). 22-02-2010. Científic. 2010. ISSN 0302-9743.

• Sistema de Ahorro de Energía en Clusters HPC mediante el Apagado y Encendido Selectivo de Nodos en función de la Carga

  Manuel Francisco Dolz Zaragozá, Juan Carlos Fernández Fernández, P. López, Rafael Mayo Gual, Enrique Salvador Quintana Ortí, V. Santonja. III Congreso Español de Informática. València (Espanya). 07-09-2010. Científic. 2010. Ed. Ibergarceta Publicaciones. III Congreso Español de Informática. ISBN 9788492812493.

• EnergySaving Cluster Roll: Power Saving System for Clusters

  Manuel Francisco Dolz Zaragozá, Juan Carlos Fernández Fernández, Rafael Mayo Gual, Enrique Salvador Quintana Ortí. 23rd International Conference on Architecture of Computing Systems ARCS 2010. Hannover (Germany). 22-02-2010. Científic. 2010. Ed. Springer. 23rd International Conference on Architecture of Computing Systems ARCS 2010. ISBN 9783642119491.

• Research line on power-aware computing by the High Performance Computing and Architectures Group

  Manuel Francisco Dolz Zaragozá, Juan Carlos Fernández Fernández, Enrique Salvador Quintana Ortí, A.J. Peña. Proceedings of the COST Action IC0804 on Energy Efficiency in Large Scale Distributed Systems. Toulouse (França). 09-11-2009. Científic. 2009. Ed. COST Office. Proceedings of the COST Action IC0804 on Energy Efficiency in Large Scale Distributed Systems. ISBN 9782917490105.

• Monitorización y Ahorro de Energía en Clusters de Computadores

  Manuel Francisco Dolz Zaragozá, S. Kudama, Juan Carlos Fernández Fernández, Rafael Mayo Gual, Enrique Salvador Quintana Ortí, A. Ruiz, J.I. Sánchez. XIX Jornadas de Paralelismo. Castellón (Espanya). 17-09-2008. Científic. 2008. Ed. Universitat Jaume I. XIX JORNADAS DE PARALELISMO. ISBN 9788480216760.

• Elaborating group posters to cooperative learn storage devices and file systems for data centres

  Manuel Francisco Dolz Zaragozá, Sandra Catalán Pallarés, María Isabel Castillo Catalán, Vicente Ramón Tomás López. 15th International Conference on Education and New Learning Technologies. Palma de Mallorca (Espanya). 03-07-2023. Docent. 2023. Ed. International Academy of Technology, Education and Development (IATED). EDULEARN23 Proceedings: 15th International Conference on Education and New Learning Technologies. ISBN 9788409521517.

• Active learning in computer networks

  Sandra Catalán Pallarés, R. Moreno-Vozmediano, Manuel Francisco Dolz Zaragozá, María Isabel Castillo Catalán. 15th International Conference on Education and New Learning Technologies. Palma de Mallorca (Espanya). 03-07-2023. Docent. 2023. Ed. International Academy of Technology, Education and Development (IATED). EDULEARN23 Proceedings: 15th International Conference on Education and New Learning Technologies. ISBN 9788409521517.ISSN 2340-1117.

• Results of applying the jJigsaw puzzle for learning network topologies

  Manuel Francisco Dolz Zaragozá, María Isabel Castillo Catalán, Vicente Ramón Tomás López. 15th annual International Conference of Education, Research and Innovation. Sevilla (Espanya). 07-11-2022. Docent. 2022. Ed. International Academy of Technology, Education and Development (IATED). ICERI2022 proceedings : 15th International Conference of Education, Research and Innovation : 7th-9th November 2022, Sevilla. ISBN 9788409454761.

• The jigsaw puzzle: a use case to cooperatively learn data center network topologies

  Manuel Francisco Dolz Zaragozá, María Isabel Castillo Catalán, Rafael Mayo Gual, Vicente Ramón Tomás López. 16th International Technology, Education and Development Conference. Valencia (Espanya). 07-03-2022. Docent. 2022. Ed. International Academy of Technology, Education and Development (IATED). INTED2022 Proceedings: 16th International Technology, Education and Development Conference, 7-8 March, 2022. ISBN 9788409377589.ISSN 2340-1079.

Direcció de tesis

• Análisis y modelización de los procesos de aprendizaje profundo

  Autoria: Catalán Carbó, Mar. Institució: Universitat Jaume I (Espanya). Data lectura: 22/03/24. Direcció: Enrique Salvador Quintana Ortí, Manuel Francisco Dolz Zaragozá.

Comités de congresos

• 37th IEEE/SBC International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD). Bonito (Brasil). 28-10-2025. Comité científic. Científic.

• ITEM Workshop 2025 IoT, Edge, and Mobile for Embedded Machine Learning. Porto (Portugal). 15-09-2025. Comité científic. Científic.

• 36th IEEE International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2024). Hawaii (Estats Units de l'Amèrica del Nord). 13-11-2024. Comité científic. Científic.

• 5th Workshop on IoT, Edge, and Mobile for Embedded Machine Learning (ITEM 2024) Workshop co-located with ECML-PKDD 2024. Vilnius (Lituània). 09-09-2024. Comité científic. Científic.

• 2nd Workshop on Applications of Machine Learning and Artificial Intelligence in High Performance Computing (WAML-HPC24). Ostrawa (Txeca, República). 08-09-2024. Comité científic. Científic.

• 15th International Conference on Parallel Processing & Applied Mathematics (PPAM 2024). Ostrawa (Txeca, República). 08-09-2024. Comité organitzador. Científic.

• 20th International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms (HeteroPar 2024). Madrid (Espanya). 27-08-2024. Comité organitzador. Científic.

• 53nd International Conference on Parallel Processing (ICPP 2024). Gotland (Suècia). 12-08-2024. Comité organitzador. Científic.

• 32nd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP 2024). Dublin (Irlanda). 20-03-2024. Comité científic. Científic.

• 41st IEEE International Conference on Computer Design (ICCD'23). Washington DC (Estats Units de l'Amèrica del Nord). 06-11-2023. Comité científic. Científic.

• ITEM Workshop 2023 - IoT, Edge, and Mobile for Embedded Machine Learning Workshop collocated with ECML-PKDD 2023. Torino (Itàlia). 18-09-2023. Comité científic. Científic.

• ICPP 2023 International Conference on Parallel Processing. Salt Lake City, UTAH (Estats Units de l'Amèrica del Nord). 07-08-2023. Comité científic. Científic.

• ICS 2023: International Conference on Supercomputing. Orlando FL (Estats Units de l'Amèrica del Nord). 21-06-2023. Comité organitzador. Científic.

• PDP 2023 31st Euromicro International Conference on Parallel, Distributed, and Network-Based Processing. Napoles (Itàlia). 01-03-2023. Comité científic. Científic.

• 2022 30th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP). Valladolid (Espanya). 09-03-2022. Comité científic. Científic.

• Isc High Performence 2021 Digital. On line (Espanya). 02-07-2021. Comité científic. Científic.

• High Performance Computing 2021. Frankfur (Alemanya). 24-06-2021. Comité científic. Científic.

• 29th Euromicro International Conference on Parallel , Distributed and Network-based Processing (PDP 2021). Valladolid (Espanya). 10-03-2021. Comité científic. Científic.

• ISC 2020 Workshops. Frankfurt (Alemanya). 21-06-2020. Comité científic. Científic.

• 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing 2017. Madrid (Espanya). 14-05-2017. Comité científic. Científic.

• Algorithms and Architectures for Parallel Processing (ICA3PP) 2016 - International Workshop on Theoretical Approaches to Performance Evaluation, Modeling, and Simulation (TAPEMS) (2 comités). Granada (Espanya). 14-12-2016. Comité científic. Científic.

• Energy-Aware High Performance Computing (EnA-HPC) 2015. Dresden (Alemanya). 01-09-2015. Comité científic. Científic.

• Workshop on Power-Aware Computing (Paco 2015). Magdeburg (Alemanya). 06-07-2015. Comité científic. Científic.

• 5th International Conference on Energy Aware High Performance Computing. Dresden (Alemanya). 01-09-2014. Comité científic. Científic.