Deep Learning Inference Optimisation for IoT: Conv2D-ReLU-BN Layer Fusion and Quantization
Jose I. Mestre, Darwin Quezada, Sergio Barrachina, Manuel F. Dolz
Journal of Supercomputing, Vol. 81, Art. num. 621, 2025
Optimizing convolutions for deep learning inference on ARM Cortex-M processors
Antonio Maciá-Lillo, Sergio Barrachina, Germán Fabregat, Manuel F. Dolz
IEEE Internet of Things Journal, Vol. 11, Num. 15, pp. 26203-26219, 2024
Automatic generation of ARM NEON micro-kernels for matrix multiplication
Guillermo Alaejos, Héctor Martínez, Adrián Castelló, Manuel F. Dolz, Francisco D. Igual, Pedro Alonso-Jordá, Enrique S. Quintana-Ortí
Journal of Supercomputing, Vol. 80, Num. 10, pp. 13873-13899, 2024
Urban sound classification using neural networks on embedded FPGAs
Jose A. Belloch, Raul Coronado, Oscar Valls, Rocio del Amor, Germán Leon, Valery Naranjo, Manuel F. Dolz, Adrian Amor-Martin, Gema Piñero
Journal of Supercomputing, Vol. 80, Num. 9, pp. 13176-13186, 2024
Efficient and portable Winograd convolutions for multi-core processors
Manuel F. Dolz, Héctor Martínez, Adrián Castelló, Enrique S. Quintana-Ortí
Journal of Supercomputing, Vol. 79, Num. 10, pp. 10589-10610, 2023
Performance–energy trade‑offs of deep learning convolution algorithms on ARM processors
Manuel F. Dolz, Sergio Barrachina, Héctor Martínez, Adrián Castelló, Antonio Maciá, Germán Fabregat, Andrés E. Tomás
Journal of Supercomputing, Vol. 79, pp. 9819-9836, 2023
Reformulating the direct convolution for high-performance deep learning Inference on ARM processors
Sergio Barrachina, Adrián Castelló, Manuel F. Dolz, Tze Meng Low, Héctor Martínez, Enrique S. Quintana-Ortí, Upasana Sridhar, Andrés E. Tomás
Journal of Systems Architecture, Vol. 135, pp. 1-13, 2023
Analyzing the impact of the MPI allreduce in distributed training of convolutional neural networks
Adrián Castelló, Mar Catalán, Manuel F. Dolz, Enrique S. Quintana-Ortí, José Duato
Computing, Vol. 105, Num. 5, pp. 1101-1119, 2023
Using machine learning to model the training scalability of convolutional neural networks on clusters of GPUs
Sergio Barrachina, Adrián Castelló, Mar Catalán, Manuel F. Dolz, Jose I. Mestre
Computing, Vol. 105, Num. 5, pp. 915-934, 2023
Efficient and portable GEMM-based convolution operators for deep neural network training on multicore processors
Sergio Barrachina, Manuel F. Dolz, Pablo San Juan, Enrique S. Quintana-Ortí
Journal of Parallel and Distributed Computing, Vol. 167, pp. 240-254, 2022
BestOf: an online implementation selector for the training and inference of deep neural networks
Sergio Barrachina, Adrián Castelló, Manuel F. Dolz, Andrés E. Tomás
Journal of Supercomputing, Vol. 78, Num. 17, pp. 17543-17558, 2022
High performance and energy efficient inference for deep learning on multicore ARM processors using general optimization techniques and BLIS
Adrián Castelló, Sergio Barrachina, Manuel F. Dolz, Enrique S. Quintana-Ortí, Pau San Juan, Andrés E. Tomás
Journal of Systems Architecture, Vol. 125, pp. 1-9, 2022
PyDTNN: A user-friendly and extensible framework for distributed deep learning
Sergio Barrachina, Adrián Castelló, Mar Catalán, Manuel F. Dolz, Jose I. Mestre
Journal of Supercomputing, Vol. 77, Num. 9, pp. 9971-9987, 2021.
Convolutional neural nets for estimating the run time and energy consumption of the sparse matrix-vector product
Maria Barreda, Manuel F. Dolz, M. Asuncion Castaño
International Journal of High Performance Computing & Applications, Vol. 35, Num. 3, pp. 268-281, 2021
Performance modeling of the sparse matrix–vector product via convolutional neural networks
Maria Barreda, Manuel F. Dolz, M. Asuncion Castaño, Pedro Alonso-Jordá, Enrique S. Quintana-Ortí
Journal of Supercomputing, Vol. 76, Num. 11, pp. 8883-8900, 2020
Detecting semantic violations of lock-free data structures through C++ contracts
Javier López-Gómez, David del Rio Astorga, Manuel F. Dolz, Javier Fernández
Journal of Supercomputing, Vol. 76. pp. 5057-5078, 2020
A pipeline for the QR update in digital signal processing
Manuel F. Dolz, Fran J. Alventosa, Pedro Alonso-Jordá, Antonio M. Vidal
Computational and Mathematical Methods, Vol. 2, Num. 1, 2020
Exploring stream parallel patterns in distributed MPI environments
Javier López-Gómez, Javier Fernández, David del Rio Astorga, Manuel F. Dolz, J. Daniel Garcia
Parallel Computing, Vol. 84, pp. 24-36, 2019
A pipeline structure for the block QR update in digital signal processing
Manuel F. Dolz, Fran J. Alventosa, Pedro Alonso-Jorda, Antonio M. Vidal
Journal of Supercomputing, Vol. 75, Num. 3, pp. 1470-1482, 2019
Hybrid static–dynamic selection of implementation alternatives in heterogeneous environments
David del Rio Astorga, Manuel F. Dolz, Javier Fernandez, Javier Garcia Blas
Journal of Supercomputing, Vol. 75, Num. 8, pp. 4098-4113, 2019
A similarity study of I/O traces via string kernels
Raul Torres, Julian M. Kunkel, Manuel F. Dolz, Thomas Ludwig
Journal of Supercomputing, Vol. 75, Num. 12, pp. 7814-7826, 2019
Finding parallel patterns through static analysis in C++ applications
David del Rio Astorga, Manuel F. Dolz, Luis Miguel Sánchez, J Daniel García, Marco Danelutto, Massimo Torquati
International Journal of High Performance Computing & Applications, Vol. 32, Num. 6, pp. 779-788, 2018
An adaptive offline implementation selector for heterogeneous parallel platforms
David del Rio Astorga, Manuel F. Dolz, Luis Miguel Sánchez, Javier Fernández, J. Daniel García
International Journal of High Performance Computing & Applications, Vol. 32, Num. 6, pp. 854-863, 2018
Paving the way towards high-level parallel pattern interfaces for data stream processing
David del Rio Astorga, Manuel F. Dolz, Javier Fernández, J. Daniel García
Future Generation of Computing Sustems. Vol. 87. pp. 228-241, 2018.
Towards automatic parallelization of stream processing applications
Manuel F. Dolz, David Del Rio Astorga, Javier Fernández, J. Daniel García, Jesús Carretero
IEEE Access. Vol. 6. pp. 39944-39961, 2018
Understanding hardware and software metrics with respect to power consumption
Julian Kunkel, Manuel F. Dolz
Sustainable Computing. Vol. 17. pp. 43-54, 2018
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 F. Dolz, 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
A generic parallel pattern interface for stream and data processing
David del Rio Astorga, Manuel F. Dolz, Javier Fernández, J. Daniel García
Concurrency and Computation-Practice & Experience, Vol. 29, Num. 24, 2017
Adapting concurrency throttling and voltage-frequency scaling for dense eigensolvers
José I. Aliaga, Maria Barreda, M. Asuncion Castaño, Manuel F. Dolz, Enrique S. Quintana-Ortí
Journal of Supercomputing, Vol. 73, Num. 1, pp. 29-43, 2017
Enabling semantics to improve detection of data races and misuses of lock‐free data structures
Manuel F. Dolz, David Del Rio Astorga, Javier Fernández, Massimo Torquati, José Daniel García, Félix García‐Carballeira, Marco Danelutto
Concurrency and Computation-Practice & Experience, Vol. 29, Num. 15, 2017
Analyzing the energy consumption of the storage data path
Pablo Llopis, Manuel F. Dolz, Javier García Blas, Florin Isaila, Mohammad Reza Heidari, Michael Kuhn
Journal of Supercomputing, Vol. 72, Num. 11, pp. 4089-4106, 2016
An analytical methodology to derive power models based on hardware and software metrics
Manuel F. Dolz, Julian Kunkel, Konstantinos Chasapis, Sandra Catalán
Computer Science - Research and Development, Vol. 31, Num. 4, pp. 165–174, 2016
Balancing task- and data-level parallelism to improve performance and energy consumption of matrix computations on the Intel Xeon Phi
Manuel F. Dolz, Francisco D. Igual, Thomas Ludwig, L. Piñuel, Enrique S. Quintana-Ortí
Computers & Electrical Engineering, Vol. 46, pp. 95-111, 2015
Evaluating the performance and energy efficiency of the COSMO-ART model system
Joseph Charles, William Sawyer, Manuel F. Dolz, Sandra Catalán
Computer Science - Research and Development, Vol. 30, Num. 1, pp. 177-186, 2015
Are our dense linear algebra libraries energy-friendly?
José I. Aliaga, Maria Barreda, Manuel F. Dolz, Enrique S. Quintana-Ortí
Computer Science - Research and Development, Vol. 30, Num. 1, pp. 183-196, 2015
Block pivoting implementation of a symmetric Toeplitz solver
Pedro Alonso-Jordá, Manuel F. Dolz, Antonio M. Vidal
Journal of Parallel and Distributed Computing, Vol. 74, Num. 5, pp. 2392-2399, 2014
Tools and methods for measuring and tuning the energy efficiency of HPC systems
Robert Schöne, Jan Treibig, Manuel F. Dolz, Carla Guillen, Carmen Navarrete, Michael Knobloch, Barry Rountree
Scientific Programming, Vol. 22, Num. 4, pp. 273-283, 2014
Assessing the impact of the CPU power-saving modes on the task-parallel solution of sparse linear systems
José I. Aliaga, Maria Barreda, Manuel F. Dolz, Alberto F. Martín, Rafael Mayo, Enrique S. Quintana-Ortí
Cluster Computing, Vol. 17, Num. 4, pp. 1335-1348, 2014.
Enhancing performance and energy consumption of runtime schedulers for dense linear algebra
Pedro Alonso-Jordá, Manuel F. Dolz, Francisco D. Igual, Rafael Mayo, Enrique S. Quintana-Ortí
Concurrency and Computation-Practice & Experience, Vol. 26, Num. 15, pp. 2591-2611, 2014
Automatic detection of power bottlenecks in parallel scientific applications
Maria Barreda, Sandra Catalán, Manuel F. Dolz, Rafael Mayo, Enrique S. Quintana-Ortí
Computer Science - Research and Development. Vol. 29, pp. 221-229, 2014
Assessing power monitoring approaches for energy and power analysis of computers
Mohammed El Mehdi Diouri, Manuel F. Dolz, Olivier Glück, Laurent Lefèvre, Pedro Alonso-Jordá, Sandra Catalán, Rafael Mayo, Enrique S. Quintana-Ortí
Sustainable Computing, Vol. 4, Num. 2, pp. 68-82, 2014
Modeling power and energy of the task-parallel Cholesky factorization on multicore processors
Pedro Alonso-Jordá, Manuel F. Dolz, Rafael Mayo, Enrique S. Quintana-Ortí
Computer Science - Research and Development, Vol. 29, Num. 2, pp. 105-112, 2014
Modeling power and energy consumption of dense matrix factorizations on multicore processors
Pedro Alonso-Jordá, Manuel F. Dolz, Rafael Mayo, Enrique S. Quintana-Ortí
Concurrency and Computation-Practice & Experience, Vol. 26, Num. 17, pp. 2743-2757, 2014
Energy-efficient execution of dense linear algebra algorithms on multi-core processors
Pedro Alonso-Jordá, Manuel F. Dolz, Rafael Mayo, Enrique S. Quintana-Ortí
Cluster Computing, Vol. 16, Num. 3, pp. 497-509, 2012
DVFS-control techniques for dense linear algebra operations on multi-core processors
Pedro Alonso-Jordá, Manuel F. Dolz, Francisco D. Igual, Rafael Mayo, Enrique S. Quintana-Ortí
Computer Science - Research and Development. Vol. 27, Num. 4. pp. 289-298, 2012
A Simulator to Assess Energy Saving Strategies and Policies in HPC Workloads
Manuel F. Dolz, Juan C. Fernández, Sergio Iserte, Rafael Mayo, Enrique S. Quintana-Ortí
ACM SIGOPS Operating Systems Review, Vol. 46, Num. 2, pp. 2-9, 2011
Assessing Modern Deep Vision Models for Chest X-Ray Diagnostics in Emergency Care
Ferran Soler-Guiral, Manuel F. Dolz, José I. Aliaga, Katty Delgado-Barriga
19th International Joint Conference on Biomedical Engineering Systems and Technologies, Marbella (Spain). 02-03-2026
Sinusoidal Initialization, Time for a New Start
Alberto Fernández-Hernández, Jose I. Mestre, Manuel F. Dolz, José Duato, Enrique S. Quintana-Ortí
The 39th Annual Conference on Neural Information Processing Systems (NeurIPS), San Diego (USA). 02-12-2025
Enhanced ROI Selection in Deep Learning Heatmaps: Refining Pathology Detection in Chest X-Ray Imaging
Núria Moreno-Chamorro, Maribel Castillo, José I. Aliaga, Manuel F. Dolz
Artificial Intelligence Models and Systems Symposium (AIMS 2025), Vienna (Austria). 25-11-2025
OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection
Alberto Fernández-Hernández, Jose I. Mestre, Manuel F. Dolz, José Duato, Enrique S. Quintana-Ortí
International Conference on Advanced Machine Learning and Data Science (AMLDS), Tokyo (Japan). 19-07-2025
Analyzing Performance-Memory-Security Trade-Offs of Convolutions for DNN Inference on Homomorphically Encrypted Data
Núria Moreno-Chamorro, Maribel Castillo, José I. Aliaga, Manuel F. Dolz
24th International Symposium on Parallel and Distributed Computing (ISPDC), Rennes (France). 08-07-2025
Ok-Topk-SP: A Novel Sparse Allreduce for Distributed Deep Neural Network Training on CPUs
Miguel Pardo-Navarro, José I. Aliaga, Manuel F. Dolz
24th International Symposium on Parallel and Distributed Computing (ISPDC), Rennes (France). 08-07-2025
Decoupling Structural and Quantitative Knowledge in ReLU-based Deep Neural Networks
José Duato, Jose I. Mestre, Manuel F. Dolz, Enrique S. Quintana-Ortí, José Cano
The 5th Workshop on Machine Learning and Systems (EuroMLSys-EuroSys), Rotterdam (Netherlands). 31-03-2025. Ed. ACM. ISBN 9798400715389
Assessing Matrix Multiplication Performance with Fully Homomorphic Encryption
Justo Molina, Rocío Carratalá-Sáez, Manuel F. Dolz, Sandra Catalán
The International Conference for High Performance Computing, Networking, Storage, and Analysis. (SC), Atlanta (USA). 17-11-2024.
Boosting Deep Learning Inference Convolutions on ARM Cortex-M4 based Microcontrollers
Sergio Barrachina, Manuel F. Dolz, Germán Fabregat, Antonio Maciá-Lillo
ITEM Workshop 2023 for IoT, Edge, and Mobile for Embedded Machine Learning (ECML-PKDD), Torino (Italy). 18-09-2023. Ed. Springer
Convolution Operators for Deep Learning Inference on the Fujitsu A64FX Processor
Manuel F. Dolz, Héctor Martínez, Pedro Alonso-Jordá, Enrique S. Quintana-Ortí
IEEE 34th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD). Bordeaux (France). 02-11-2022. Ed. IEEE. ISBN 9781665451550
Towards Portable Realizations of Winograd-based Convolution with Vector Intrinsics and OpenMP
Manuel F. Dolz, Adrián Castelló, Enrique S. Quintana-Ortí
30th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP). Valladolid (Spain). 09-03-2022. Ed. IEEE. ISBN 9781665469586
A Flexible Research-Oriented Framework for Distributed Training of Deep Neural Networks
Sergio Barrachina, Adrián Castelló, Mar Catalán, Manuel F. Dolz, Jose Ignacio Mestre
IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW). Portland, OR (United States). 17-06-2021. Ed. IEEE. ISBN 9781665411929
Performance Modeling for Distributed Training of Convolutional Neural Networks
Adrián Castelló, Mar Catalán, Manuel F. Dolz, Jose Ignacio Mestre, Enrique S. Quintana-Ortí, José Duato
29th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP 2021). Valladolid (Spain). 10-03-2021. Ed. IEEE. ISBN 9781665447645
Evaluation of MPI Allreduce for Distributed Training of Convolutional Neural Networks
Adrián Castelló, Mar Catalán, Manuel F. Dolz, Jose Ignacio Mestre, Enrique S. Quintana Ortí, José Duato
29th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP 2021). Valladolid (Spain). 10-03-2021. Ed. IEEE. ISBN 9781665447645
High Performance and Portable Convolution Operators for Multicore Processors
Pablo San Juan, Adrián Castelló Gimno, Manuel F. Dolz, 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. Scientist. 2020. Ed. IEEE. Proceedings of the 32nd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2020). ISBN 9781728199245
Analysis of model parallelism for distributed neural networks
Adrián Castelló, Manuel F. Dolz, Enrique S. Quintana-Ortí, José Duato
26th European MPI Users' Group Meeting (EuroMPI 2019). Zürich (Switzerland). 11-09-2019. Ed. Association for Computing Machinery (ACM). ISBN 9781450371759
Theoretical Scalability Analysis of Distributed Deep Convolutional Neural Networks
Adrián Castelló, Manuel F. Dolz, Enrique S. Quintana-Ortí, José Duato
19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID 2019). Larnaca (Cyprus). 14-05-2019. Ed. IEEE. ISBN 9781728109138
Comparison of Clang Abstract Syntax Trees using String Kernels
Raul Torres, Thomas Ludwig, Julian M. Kunkel, Manuel F. Dolz
16th International Conference on High Performance Computing and Simulation (HPCS 2018). Orleans (France). 16-07-2018. Ed. IEEE. ISBN 9781538678787
Supporting MPI-distributed stream parallel patterns in GrPPI
Javier Fernández Muñoz, Manuel F. Dolz, David del Rio Astorga, Javier Prieto Cepeda, J. Daniel García
25th European MPI Users' Group Meeting (EuroMPI 2018). Barcelona (Spain). 23-09-2018. Ed. Association for Computing Machinery (ACM). ISBN 9781450364928
Parallelizing and Optimizing LHCb-Kalman for Intel Xeon Phi KNL Processors
Plácido Fernández, David del Rio Astorga, Manuel F. Dolz, Javier Fernández, Omar Awile, J. Daniel García
26th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP 2018). Cambridge (United Kingdom). 21-03-2018. Ed. IEEE. ISBN 9781538649756
A Novel String Representation and Kernel Function for the Comparison of I/O Access Patterns
Raul Torres, Julian Kunkel, Manuel F. Dolz, Thomas Ludwig
14th International Conference on Parallel Computing Technologies (PaCT 2017). Nizhny Novgorod (Russia). 04-09-2017. ISSN 0302-9743
Supporting Advanced Patterns in GrPPI, a Generic Parallel Pattern Interface
David del Rio Astorga, Manuel F. Dolz, Javier Fernández, J. Daniel García
International Workshops on Parallel Processing, (Euro-Par 2017). Santiago de Compostela (Spain). 28-08-2017. ISSN 0302-9743
Probabilistic-Based Selection of Alternate Implementations for Heterogeneous Platforms
Javier Fernández, Andrés Sánchez Cuadrado, David del Rio Astorga, Manuel F. Dolz, J. Daniel García
17th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2017). Helsinki (Finland). 21-08-2017. Ed. Springer. Series Lecture Notes in Computer Science, vol 10393. ISBN 9783319654812
CID: A Compile-Time Implementation Decider for Heterogeneous Platforms Based on C++ Attributes
Luis M. Sanchez, David del Rio Astorga, Manuel F. Dolz, 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 (France). 18-07-2016. Ed. IEEE. ISBN 9781509027705
Porting MATLAB Applications to High-Performance C++ Codes: CPU/GPU-Accelerated Spherical Deconvolution of Diffusion MRI Data
Javier Garcia Blas, Manuel F. Dolz, 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 (Spain). 14-12-2016. Ed. Springer. Series Lecture Notes in Computer Science, vol 10048. ISBN 9783319495828
A C++ Generic Parallel Pattern Interface for Stream Processing
David del Rio Astorga, Manuel F. Dolz, Luis Miguel Sanchez, Javier García Blas, J. Daniel García
16th international conference on Algorithms and Architectures for Parallel Processing (ICA3PP2016). Granada (Spain). 14-12-2016. Ed. Springer. Series Lecture Notes in Computer Science, vol 10048. ISBN 9783319495828
Discovering Pipeline Parallel Patterns in Sequential Legacy C++ Codes
David del Rio Astorga, Manuel F. Dolz, Luis Miguel Sanchez, J. Daniel García
7th International Workshop on Programming Models and Applications for Multicores and Manycores (PMAM'16). Barcelona (Spain). 12-03-2016. Ed. Association for Computing Machinery (ACM). ISBN 9781450319089
Embedding Semantics of the Single-Producer/Single-Consumer Lock-Free Queue into a Race Detection Tool
Manuel F. Dolz, 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 (Spain). 12-03-2016. Ed. Association for Computing Machinery (ACM). ISBN 9781450319089
Analyzing Power Consumption of I/O Operations in HPC Applications
Pablo Llopis, Manuel F. Dolz, Javier García Blas, Florin D. Isaila, Jesús Carretero, Mohammad Reza Heidari, Michael Kuhn
Second International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2015). Krakow (Poland). 10-09-2015. Ed. Autoeditado por Comité congreso. Proceedings of the Second International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2015). ISBN 9788460825814
Strategies for Adapting Concurrency Throttling and Voltage-Frequency Scaling for Dense Eigensolvers
José I. Aliaga, Maria Barreda, M. Asuncion Castaño, Manuel F. Dolz, Enrique S. Quintana-Ortí
15th International Conference on Computational and Mathematical Methods in Science and Engineering (CMMSE 2015). Costa Ballena (Rota), Cádiz (Spain). 06-07-2015. Ed. Computational and Mathematical Methods in Science and Engineering (CMMSE). ISBN 9788461722303
ArduPower: A Low-cost Wattmeter to improve Energy Efficiency of HPC Applications
Manuel F. Dolz, Mohammad Reza Heidari, Michael Kuhn, Thomas Ludwig, Germán Fabregat Llueca
Sixth International Green and Sustainable Computing Conference. Las Vegas (United States). 14-12-2015. Scientist. 2015. Ed. IEEE. ISBN 9781509001729
Evaluating Lustre's Metadata Server on a Multi-Socket Platform
Konstantinos Chasapis, Manuel F. Dolz, Michael Kuhn, Thomas Ludwig
9th Parallel Data Storage Workshop (PDSW 2014). New Orleans (United States). 16-11-2014. Ed. IEEE. ISBN 9781479970254
Evaluating Power-Performace Benefits of Data Compression in HPC Storage Servers
Konstantinos Chasapis, Manuel F. Dolz, Michael Kuhn, Thomas Ludwig
The Fourth International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies (ENERGY 2014). Chamonix (France). 20-04-2014. Ed. Autoeditado por Comité congreso. ISBN 9781612083322
Runtime Scheduling of the LU Factorization: Performance and Energy
Pedro Alonso-Jordá, Manuel F. Dolz, Francisco D. Igual, Enrique S. Quintana-Ortí, Rafael Mayo
Energy Efficiency in Large Scale Distributed Systems (COST IC080 European Conference Energy Efficiency in Large Scale Distributed Systems - EE-LSDS 2013). Vienna (Austria). 22-04-2013. Ed. Springer. ISBN 9783642405167
Solving Some Mysteries in Power Monitoring of Servers: Take Care of Your Wattmeters!
M. El Mehdi Diouri, Manuel F. Dolz, Olivier Glück, Laurent Lefèvre, Pedro Alonso-Jordá, Sandra Catalán, Rafael Mayo, Enrique S. Quintana-Ortí
Energy Efficiency in Large Scale Distributed Systems (COST IC080 European Conference Energy Efficiency in Large Scale Distributed Systems - EE-LSDS 2013). Vienna (Austria). 22-04-2013. Ed. Springer. ISBN 9783642405167
An Integrated Framework for Power-Performance Analysis of Parallel Scientific Workloads
Sergio Barrachina, Maria Barreda, Sandra Catalán, Manuel F. Dolz, Germán Fabregat, Rafael Mayo, Enrique S. Quintana-Ortí
The Third International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies. Lisboa (Portugal). 24-03-2013. Ed. International Academy, Research and Industry Association (IARIA). ISBN 9781612082592
Tools for Power-Energy Modelling and Analysis of Parallel Scientific Applicaions
Pedro Alonso-Jordá, Rosa M. Badia, Jesús Labarta, Maria Barreda, Manuel F. Dolz, Rafael Mayo, Enrique S. Quintana-Ortí, Ruyman Reyes
The 41st International Conferene on Parallel Processing. Pittsburgh, Pennsylvania (United States). 10-09-2012. Ed. IEEE. ISBN 9781467325080
Leveraging Task-Parallelism in Energy-Efficient ILU Preconditioners
José I. Aliaga, Manuel F. Dolz, A.F. Martín, Rafael Mayo, Enrique S. Quintana-Ortí
2nd International Conference on ICT as a Key Technology Against Global Warming, ICT-GLOW 2012. Vienna (Austria). 20-06-2011. ISSN 0302-9743
Binding Performance and Power of Dense Linear Algebra Operations
Maria Barreda, Manuel F. Dolz, Rafael Mayo, Enrique S. Quintana-Ortí, Ruyman Reyes
2012 10th IEEE International Symposium on Parallel and Distributed Processing with Applications. Madrid (Spain). 10-06-2012. Ed. IEEE. ISBN 9780769547015
Reducing Energy Consumption of Dense Linear Algebra Operations on Hybrid CPU-GPU Platforms
Pedro Alonso-Jordá, Manuel F. Dolz, Francisco D. Igual, Rafael Mayo, Enrique S. Quintana-Ortí
2012 10th IEEE International Symposium on Parallel and Distributed Processing with Applications. Madrid (Spain). 10-06-2012. Ed. IEEE. ISBN 9780769547015
Tracing the Power and Energy Consumption of the QR Factorization on Multicores Processors
Maria Barreda, Sandra Catalán, Manuel F. Dolz, Rafael Mayo, Enrique S. Quintana-Ortí
12th International Conference on Computational and Mathematical Methods in Science and Engineering (CMMSE 2012). La Manga, Murcia (Spain). 02-07-2012. Scientist. 2012. Ed. Computational and Mathematical Methods in Science and Engineering (CMMSE). ISBN 9788461553921
Saving Energy in the LU Factorization with Partial Pivoting on Multi-Core Processors
Pedro Alonso-Jordá, Manuel F. Dolz, Francisco D. Igual, Rafael Mayo, Enrique S. Quintana-Ortí
20th Euromicro International Conference on Parallel, Distributed and Network-Based Processing. Garching (Germany). 15-02-2012. Ed. IEEE. ISBN 9780769546339
A Flexible Simulator to Evaluate a Power Saving System for HPC Clusters
Manuel F. Dolz, Juan C. Fernández, Sergio Iserte Agut, Rafael Mayo, Enrique S. Quintana-Ortí
Proceedings (12th International Workshop on Green Computing Middleware - GCM'11). Lisboa (Portugal). 12-12-2011. Ed. Association for Computing Machinery (ACM). ISBN 9781450310642
Power-aware dense linear algebra implementations on multi-core and many-core processors
Pedro Alonso-Jordá, Manuel F. Dolz, Francisco D. Igual, Brian Marker, Rafael Mayo, Enrique S. Quintana-Ortí, Robert A. Van de Geijn
3rd Many-core Applications Reserach Community (MARC) Symposium. Ettlingen (Germany). 05-06-2011. Ed. KIT Scientific Publishing. ISBN 9783866447172
EnergySaving Cluster experience in CETA-CIEMAT
Manuel F. Dolz, Juan C. Fernández, Sergio Iserte, Rafael Mayo, Enrique S. Quintana-Ortí, Manuel E. Cotallo, Guillermo Díaz
5th Iberian Grid Infrastructure Conference Proceedings (IBERGRID2011). Oleiros, La Coruña (Spain). 08-06-2011. Ed. Netbiblo. ISBN 9788497458849
Improving Power Efficiency of Dense Linear Algebra Algorithms on Multi-Core Processors via Slack Control
Manuel F. Dolz, Rafael Mayo, Enrique S. Quintana-Ortí, Pedro Alonso-Jordá
Proceedings of the 2011 International Conference on High Performance Computing & Simulation (HPCS). Istanbul (Turkey). 04-07-2011. Ed. IEEE. ISBN 9781612843827
Evaluation of the Energy Performance of Dense Linear Algebra Kernels on Multi-Core and Many-Core Processors
Maribel Castillo, Manuel F. Dolz, Juan C. Fernández, Rafael Mayo, Enrique S. Quintana-Ortí, Vicente R. Roca Sanz
25 th IEEE International Parallel & Distributed Procesing Symposium. Anchorage, Alaska, USA. 16-05-2011. Ed. IEEE. ISBN 9780769543857
Energy Saving Cluster Roll: Power Saving System for Clusters
Manuel F. Dolz, Juan C. Fernández, Rafael Mayo, Enrique S. Quintana-Ortí
23rd International Conference on Architecture of Computing Systems, ARCS 2010. Hannover (Germany). 22-02-2010. ISSN 0302-9743
Research line on power-aware computing by the High Performance Computing and Architectures Group
Manuel F. Dolz, Juan C. Fernández, Enrique S. Quintana-Ortí, Antonio J. Peña
Proceedings of the COST Action IC0804 on Energy Efficiency in Large Scale Distributed Systems. Toulouse (France). 09-11-2009. Ed. COST Office. ISBN 9782917490105
Energy-Aware High Performance Computing
Martin Wlotzka, Vincent Heuveline, Manuel F. Dolz, M. Reza Heidari, Thomas Ludwig, A. Cristiano I. Malossi, Enrique S. Quintana-Ortí
ICT-Energy Concepts for Energy Efficiency and Sustainability. London (UK). Ed. InTech. 2017. ISBN 9789535130116.
Energy-aware matrix computations on multithreaded architectures
Manuel F. Dolz. Supervision: Enrique S. Quintana, Pedro Alonso-Jordá
Universitat Jaume I. 21-03-2014
Análisis y modelización de los procesos de aprendizaje profundo
Mar Catalán Carbó. Supervision: Enrique S. Quintana, Manuel F. Dolz
Universitat Jaume I. 22-03-2024
Una Variante de Ok-Topk para el Entrenamiento de Redes Neuronales en Entornos Distribuidos de CPUs
Miguel Pardo-Navarro, José I. Aliaga, Manuel F. Dolz
XXXV Jornadas de Paralelismo (JP 2025). Sevilla (Spain). 25-06-2025. Ed. Universidad de Sevilla. ISBN 9788409745302.
Evaluación del Reentrenamiento de Redes Neuronales con Radiografías de Tórax
Ferran Soler, Manuel F. Dolz and José I. Aliaga
20th Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2024). A Coruña (Spain), 19-06-2024. Ed. Autoeditado por Comité congreso. ISBN 9788409627240.
Evaluación de Técnicas de Explicabilidad de Redes Neuronales en Radiografías de Tórax
Núria Moreno-Chamorro, Maribel Castillo, José I. Aliaga and Manuel F. Dolz
20th Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2024). A Coruña (Spain), 19-06-2024. Ed. Autoeditado por Comité congreso. ISBN 9788409627240.
PyDTNN: Entorno para Entrenamiento e Inferencia con Redes Neuronales Profundas
Sergio Barrachina Mir, Adrián Castelló, Mar Catalán, Manuel F. Dolz, Jose I. Mestre, Cristian Ramírez, David Rodríguez
VI Congreso Español de Informática (CEDI 20/21). Málaga (Spain). 22-09-2021. Ed. Autoeditado por Comité congreso. ISBN 9788409324873.
Mejora de los Modelos Predictivos para la Comunicación Colectiva MPI Allreduce
Adrián Castelló, Mar Catalán, Manuel F. Dolz, Enrique S. Quintana-Ortí, José Duato
VI Congreso Español de Informática (CEDI 20/21). Málaga (Spain). 22-09-2021. Ed. Autoeditado por Comité congreso. ISBN 9788409324873.
Redes Neuronales Convolucionales para el Modelado del Rendimiento del Producto Matriz–Vector Disperso
Maria Barreda, Manuel F. Dolz, M. Asuncion Castaño, Pedro Alonso-Jordá, Enrique S. Quintana-Ortí
XXX Jornadas de Paralelismo (JP 2019). Cáceres (Spain). 18-09-2019. Ed. Universidad de Extremadura. ISBN 9788409121274.
Un Simulador de Paralelismo de Modelo para Redes Neuronales
Adrián Castelló, Manuel F. Dolz, Enrique S. Quintana-Ortí, José Duato
XXX Jornadas de Paralelismo (JP 2019). Cáceres (Spain). 18-09-2019. Ed. Universidad de Extremadura. ISBN 9788409121274.
GrPPI: Una interfaz de patrones paralelos genérica
David del Rio Astorga, Manuel F. Dolz, Javier Fernández, J. Daniel García
XXVIII Jornadas de Paralelismo (SARTECO 2017), Málaga (España). 19-09-2017. Ed. Autoeditado por Comité congreso. ISBN 9788469748350.
Selección de implementaciones en plataformas heterogéneas basada en probabilidades
Javier Fernández, Andrés Sánchez Cuadrado, David del Rio Astorga, Manuel F. Dolz, J. Daniel García
XXVIII Jornadas de Paralelismo (SARTECO 2017), Málaga (España). 19-09-2017. Ed. Autoeditado por Comité congreso. ISBN 9788469748350.
Migración portable y de altas prestaciones de aplicaciones Matlab a C++: deconvolución esférica de datos de resonancia magnética por difusión
Javier García Blas, J. Daniel García, Manuel F. Dolz, Jesús Carretero, Yasser Alemán, Erick Jorge Canales-Rodríguez
XXVII Jornadas de Paralelismo (SARTECO 2016), Salamanca (España). 14-09-2016. Ed. Autoeditado por Comité congreso. ISBN 9788490126264.
Detección automática de los patrones de paralelismo Map y Farm en códigos secuenciales
David del Rio Astorga, Manuel F. Dolz, Luis Miguel Sanchez, J. Daniel García
XXVII Jornadas de Paralelismo (SARTECO 2016), Salamanca (España). 14-09-2016. Ed. Autoeditado por Comité congreso. ISBN 9788490126264.
Detección Automática de Cuellos de Botella de Potencia en Aplicaciones Científicas Paralelas
Maria Barreda, Sandra Catalán, Manuel F. Dolz, Rafael Mayo Gual, Enrique S. Quintana-Ortí
XXIV Jornadas de Paralelismo (JP2013). Madrid (Spain). 17-09-2013. Ed. Universidad Complutense de Madrid. ISBN 9788469583302.
Un Entorno de Análisis del Consumo de Aplicaciones Paralelas
Maria Barreda, Manuel F. Dolz, Rafael Mayo, Enrique S. Quintana-Ortí
XXIII Jornadas de Paralelismo. Elche (Alicante) (Spain). 19-09-2012. Ed. Universidad Miguel Hernández. ISBN 9788469544716.
Sistema de Ahorro de Energía en Clusters HPC mediante el Apagado y Encendido Selectivo de Nodos en función de la Carga
Manuel F. Dolz, Juan C. Fernández, Pedro López, Rafael Mayo, Enrique S. Quintana-Ortí, Vicente Santonja
III Congreso Español de Informática. València (Spain). 07-09-2010. Ed. Ibergarceta Publicaciones. ISBN 9788492812493.
Monitorización y Ahorro de Energía en Clusters de Computadores
Manuel F. Dolz, Shahad Kudama, Juan C. Fernández, Rafael Mayo, Enrique S. Quintana-Ortí, Antonio Ruiz, Jose I. Sánchez
XIX Jornadas de Paralelismo. Castellón (Spain). 17-09-2008. Ed. Universitat Jaume I. ISBN 9788480216760.
Elaborating group posters to cooperative learn storage devices and file systems for data centres
Manuel F. Dolz, Sandra Catalán, Maribel Castillo, Vicente R. Tomás
15th International Conference on Education and New Learning Technologies. Palma de Mallorca (España). 02-07-2023. Ed. International Academy of Technology, Education and Development (IATED). 2023. ISBN: 9788409521517
Active learning in computer networks
Sandra Catalán, R. Moreno-Vozmediano, Manuel F. Dolz, Maribel Castillo.
15th International Conference on Education and New Learning Technologies. Palma de Mallorca (España). 02-07-2023. Ed. International Academy of Technology, Education and Development (IATED). 2023. ISBN: 9788409521517
Results of applying the Jigsaw puzzle for learning network topologies
Manuel F. Dolz, Maribel Castillo, Vicente R. Tomás
15th annual International Conference of Education, Research and Innovation. Sevilla (Spain). 07-11-2022. Ed. International Academy of Technology, Education and Development (IATED). ISBN 9788409454761.
The Jigsaw puzzle: a use case to cooperatively learn data center network topologies
Manuel F. Dolz, Maribel Castillo, Rafael Mayo, Vicente R. Tomás
16th International Technology, Education and Development Conference. Valencia (Spain). 07-03-2022. Ed. International Academy of Technology, Education and Development (IATED). ISBN 9788409377589.ISSN 2340-1079.