EnergySaving Cluster Roll: Power Saving System for Clusters. - Manuel F. Dolz; Juan Carlos Fernández 002; Rafael Mayo 002; Enrique S. Quintana-Ortí (ARCS, 2010)

Improving power efficiency of dense linear algebra algorithms on multi-core processors via slack control. - Pedro Alonso 002; Manuel F. Dolz; Rafael Mayo 002; Enrique S. Quintana-Ortí (HPCS, 2011)

Evaluation of the Energy Performance of Dense Linear Algebra Kernels on Multi-core and Many-Core Processors. - Maribel Castillo; Manuel F. Dolz; Juan Carlos Fernández 002; Rafael Mayo 002; Enrique S. Quintana-Ortí; Vicente Roca (IPDPS Workshops, 2011)

Power-aware Dense Linear Algebra Implementations on Multi-core and Many-core Processors. - Pedro Alonso 002; Manuel F. Dolz; Francisco D. Igual; Bryan Marker; Rafael Mayo 002; Enrique S. Quintana-Ortí; Robert A. van de Geijn (MARC Symposium, 2011)

Tools for Power-Energy Modelling and Analysis of Parallel Scientific Applications. - Pedro Alonso 002; Rosa M. Badia; Jesús Labarta; Maria Barreda; Manuel F. Dolz; Rafael Mayo 002; Enrique S. Quintana-Ortí; Ruymán Reyes (ICPP, 2012)

Leveraging Task-Parallelism in Energy-Efficient ILU Preconditioners. - José Ignacio Aliaga; Manuel F. Dolz; Alberto F. Martín; Rafael Mayo 002; Enrique S. Quintana-Ortí (ICT-GLOW, 2012)

Reducing Energy Consumption of Dense Linear Algebra Operations on Hybrid CPU-GPU Platforms. - Pedro Alonso 002; Manuel F. Dolz; Francisco D. Igual; Rafael Mayo 002; Enrique S. Quintana-Ortí (ISPA, 2012)

Binding Performance and Power of Dense Linear Algebra Operations. - Maria Barreda; Manuel F. Dolz; Rafael Mayo 002; Enrique S. Quintana-Ortí; Ruymán Reyes (ISPA, 2012)

Saving Energy in the LU Factorization with Partial Pivoting on Multi-core Processors. - Pedro Alonso 002; Manuel F. Dolz; Francisco D. Igual; Rafael Mayo 002; Enrique S. Quintana-Ortí (PDP, 2012)

DVFS-control techniques for dense linear algebra operations on multi-core processors. - Pedro Alonso 002; Manuel F. Dolz; Francisco D. Igual; Rafael Mayo 002; Enrique S. Quintana-Ortí (Comput. Sci. Res. Dev., 2012)

A simulator to assess energy saving strategies and policies in HPC workloads. - Manuel F. Dolz; Juan Carlos Fernández 002; Sergio Iserte; Rafael Mayo 002; Enrique S. Quintana-Ortí (ACM SIGOPS Oper. Syst. Rev., 2012)

Runtime Scheduling of the LU Factorization: Performance and Energy. - Pedro Alonso 002; Manuel F. Dolz; Francisco D. Igual; Enrique S. Quintana-Ortí; Rafael Mayo 002 (EE-LSDS, 2013)

Solving Some Mysteries in Power Monitoring of Servers: Take Care of Your Wattmeters! - Mohammed el Mehdi Diouri; Manuel F. Dolz; Olivier Glück; Laurent Lefèvre; Pedro Alonso 002; Sandra Catalán; Rafael Mayo 002; Enrique S. Quintana-Ortí (EE-LSDS, 2013)

Energy-efficient execution of dense linear algebra algorithms on multi-core processors. - Pedro Alonso 002; Manuel F. Dolz; Rafael Mayo 002; Enrique S. Quintana-Ortí (Clust. Comput., 2013)

Evaluating Lustre's metadata server on a multi-socket platform. - Konstantinos Chasapis; Manuel F. Dolz; Michael Kuhn 003; Thomas Ludwig 002 (PDSW@SC, 2014)

Assessing the impact of the CPU power-saving modes on the task-parallel solution of sparse linear systems. - José Ignacio Aliaga; Maria Barreda; Manuel F. Dolz; Alberto F. Martín; Rafael Mayo 002; Enrique S. Quintana-Ortí (Clust. Comput., 2014)

Enhancing performance and energy consumption of runtime schedulers for dense linear algebra. - Pedro Alonso 002; Manuel F. Dolz; Francisco D. Igual; Rafael Mayo 002; Enrique S. Quintana-Ortí (Concurr. Comput. Pract. Exp., 2014)

Modeling power and energy consumption of dense matrix factorizations on multicore processors. - Pedro Alonso 002; Manuel F. Dolz; Rafael Mayo 002; Enrique S. Quintana-Ortí (Concurr. Comput. Pract. Exp., 2014)

Modeling power and energy of the task-parallel Cholesky factorization on multicore processors. - Pedro Alonso 002; Manuel F. Dolz; Rafael Mayo 002; Enrique S. Quintana-Ortí (Comput. Sci. Res. Dev., 2014)

Automatic detection of power bottlenecks in parallel scientific applications. - Maria Barreda; Sandra Catalán; Manuel F. Dolz; Rafael Mayo 002; Enrique S. Quintana-Ortí (Comput. Sci. Res. Dev., 2014)

Block pivoting implementation of a symmetric Toeplitz solver. - Pedro Alonso 002; Manuel F. Dolz; Antonio M. Vidal (J. Parallel Distributed Comput., 2014)

Tools and methods for measuring and tuning the energy efficiency of HPC systems. - Robert Schöne; Jan Treibig; Manuel F. Dolz; Carla Guillén; Carmen B. Navarrete; Michael Knobloch; Barry Rountree (Sci. Program., 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 002; Sandra Catalán; Rafael Mayo 002; Enrique S. Quintana-Ortí (Sustain. Comput. Informatics Syst., 2014)

Energy-aware matrix computacion on multirhreaded architectures. - Manuel F. Dolz (2014)

ARDUPOWER: A low-cost wattmeter to improve energy efficiency of HPC applications. - Manuel F. Dolz; Mohammad Reza Heidari; Michael Kuhn 003; Thomas Ludwig 002; Germán Fabregat (IGSC, 2015)

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 002; Luis Piñuel; Enrique S. Quintana-Ortí (Comput. Electr. Eng., 2015)

Are our dense linear algebra libraries energy-friendly? - José Ignacio Aliaga; Maria Barreda; Manuel F. Dolz; Enrique S. Quintana-Ortí (Comput. Sci. Res. Dev., 2015)

Evaluating the performance and energy efficiency of the COSMO-ART model system. - Joseph Charles; William B. Sawyer; Manuel F. Dolz; Sandra Catalán (Comput. Sci. Res. Dev., 2015)

A C++ Generic Parallel Pattern Interface for Stream Processing. - David del Rio Astorga; Manuel F. Dolz; Luis Miguel Sánchez; Javier García Blas; José Daniel García (ICA3PP, 2016)

Porting Matlab Applications to High-Performance C++ Codes: CPU/GPU-Accelerated Spherical Deconvolution of Diffusion MRI Data. - Javier García Blas; Manuel F. Dolz; José Daniel García; Jesús Carretero 001; Alessandro Daducci; Yasser Alemán-Gómez; Erick Jorge Canales-Rodríguez (ICA3PP, 2016)

Discovering Pipeline Parallel Patterns in Sequential Legacy C++ Codes. - David del Rio Astorga; Manuel F. Dolz; Luis Miguel Sánchez; José Daniel García (PMAM@PPoPP, 2016)

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 001; José Daniel García; Félix García Carballeira; Marco Danelutto; Massimo Torquati (PMAM@PPoPP, 2016)

CID: A Compile-Time Implementation Decider for Heterogeneous Platforms Based on C++ Attributes. - Luis Miguel Sánchez; David del Rio Astorga; Manuel F. Dolz; Javier Fernández 001 (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld, 2016)

An analytical methodology to derive power models based on hardware and software metrics. - Manuel F. Dolz; Julian M. Kunkel; Konstantinos Chasapis; Sandra Catalán (Comput. Sci. Res. Dev., 2016)

Analyzing the energy consumption of the storage data path. - Pablo Llopis; Manuel F. Dolz; Francisco Javier García Blas; Florin Isaila; Mohammad Reza Heidari; Michael Kuhn 003 (J. Supercomput., 2016)

Supporting Advanced Patterns in GrPPI, a Generic Parallel Pattern Interface. - David del Rio Astorga; Manuel F. Dolz; Javier Fernández 001; José Daniel García (Euro-Par Workshops, 2017)

Probabilistic-Based Selection of Alternate Implementations for Heterogeneous Platforms. - Javier Fernández 001; Andrés Sánchez Cuadrado; David del Rio Astorga; Manuel F. Dolz; José Daniel García (ICA3PP, 2017)

A Novel String Representation and Kernel Function for the Comparison of I/O Access Patterns. - Raul Torres; Julian M. Kunkel; Manuel F. Dolz; Thomas Ludwig 002 (PaCT, 2017)

A generic parallel pattern interface for stream and data processing. - David del Rio Astorga; Manuel F. Dolz; Javier Fernández 001; José Daniel García (Concurr. Comput. Pract. Exp., 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 001; Massimo Torquati; José Daniel García; Félix García Carballeira; Marco Danelutto (Concurr. Comput. Pract. Exp., 2017)

Adapting concurrency throttling and voltage-frequency scaling for dense eigensolvers. - José Ignacio Aliaga; Maria Barreda; M. Asunción Castaño; Manuel F. Dolz; Enrique S. Quintana-Ortí (J. Supercomput., 2017)

Comparison of Clang Abstract Syntax Trees using String Kernels. - Raul Torres; Thomas Ludwig 002; Julian M. Kunkel; Manuel F. Dolz (HPCS, 2018)

Parallelizing and Optimizing LHCb-Kalman for Intel Xeon Phi KNL Processors. - Placido Fernández; David del Rio Astorga; Manuel F. Dolz; Javier Fernández 001; Omar Awile; José Daniel García (PDP, 2018)

Supporting MPI-distributed stream parallel patterns in GrPPI. - Javier Fernández Muñoz; Manuel F. Dolz; David del Rio Astorga; Javier Prieto Cepeda; José Daniel García (EuroMPI, 2018)

Towards Automatic Parallelization of Stream Processing Applications. - Manuel F. Dolz; David del Rio Astorga; Javier Fernández 001; José Daniel García; Jesús Carretero 001 (IEEE Access, 2018)

Paving the way towards high-level parallel pattern interfaces for data stream processing. - David del Rio Astorga; Manuel F. Dolz; Javier Fernández 001; José Daniel García (Future Gener. Comput. Syst., 2018)

An adaptive offline implementation selector for heterogeneous parallel platforms. - David del Rio Astorga; Manuel F. Dolz; Luis Miguel Sánchez; Javier Fernández 001; José Daniel García (Int. J. High Perform. Comput. Appl., 2018)

Finding parallel patterns through static analysis in C++ applications. - David del Rio Astorga; Manuel F. Dolz; Luis Miguel Sánchez; José Daniel García; Marco Danelutto; Massimo Torquati (Int. J. High Perform. Comput. Appl., 2018)

Energy monitoring as an essential building block towards sustainable ultrascale systems. - Francisco Almeida; Marcos Dias de Assunção; Jorge G. Barbosa; Vicente Blanco Pérez; Ivona Brandic; Georges Da Costa; Manuel F. Dolz; Anne C. Elster; Mateusz Jarus; Helen D. Karatza; Laurent Lefèvre; Ilias Mavridis; et al. (Sustain. Comput. Informatics Syst., 2018)

Understanding hardware and software metrics with respect to power consumption. - Julian M. Kunkel; Manuel F. Dolz (Sustain. Comput. Informatics Syst., 2018)

Theoretical Scalability Analysis of Distributed Deep Convolutional Neural Networks. - Adrián Castelló 001; Manuel F. Dolz; Enrique S. Quintana-Ortí; José Duato (CCGRID, 2019)

Analysis of model parallelism for distributed neural networks. - Adrián Castelló 001; Manuel F. Dolz; Enrique S. Quintana-Ortí; José Duato (EuroMPI, 2019)

Exploring stream parallel patterns in distributed MPI environments. - Javier López-Gómez; Javier Fernández Muñoz; David del Rio Astorga; Manuel F. Dolz; José Daniel García (Parallel Comput., 2019)

Hybrid static-dynamic selection of implementation alternatives in heterogeneous environments. - David del Rio Astorga; Manuel F. Dolz; Javier Fernández 001; Javier García Blas (J. Supercomput., 2019)

A pipeline structure for the block QR update in digital signal processing. - Manuel F. Dolz; Fran J. Alventosa; Pedro Alonso-Jordá; Antonio M. Vidal (J. Supercomput., 2019)

A similarity study of I/O traces via string kernels. - Raul Torres; Julian M. Kunkel; Manuel F. Dolz; Thomas Ludwig 002 (J. Supercomput., 2019)

High Performance and Portable Convolution Operators for Multicore Processors. - Pablo San Juan; Adrián Castelló 001; Manuel F. Dolz; Pedro Alonso-Jordá; Enrique S. Quintana-Ortí (SBAC-PAD, 2020)

A pipeline for the QR update in digital signal processing. - Manuel F. Dolz; Fran J. Alventosa; Pedro Alonso-Jordá; Antonio M. Vidal (Comput. Math. Methods, 2020)

High Performance and Portable Convolution Operators for ARM-based Multicore Processors. - Pablo San Juan; Adrián Castelló 001; Manuel F. Dolz; Pedro Alonso-Jordá; Enrique S. Quintana-Ortí (CoRR, 2020)

Performance modeling of the sparse matrix-vector product via convolutional neural networks. - Maria Barreda; Manuel F. Dolz; M. Asunción Castaño; Pedro Alonso-Jordá; Enrique S. Quintana-Ortí (J. Supercomput., 2020)

Detecting semantic violations of lock-free data structures through C++ contracts. - Javier López-Gómez; David del Rio Astorga; Manuel F. Dolz; Javier Fernández 001; José Daniel García (J. Supercomput., 2020)

A Flexible Research-Oriented Framework for Distributed Training of Deep Neural Networks. - Sergio Barrachina 001; Adrián Castelló 001; Mar Catalán; Manuel F. Dolz; José I. Mestre (IPDPS Workshops, 2021)

Performance Modeling for Distributed Training of Convolutional Neural Networks. - Adrián Castelló 001; Mar Catalán; Manuel F. Dolz; José I. Mestre; Enrique S. Quintana-Ortí; José Duato (PDP, 2021)

Evaluation of MPI Allreduce for Distributed Training of Convolutional Neural Networks. - Adrián Castelló 001; Mar Catalán; Manuel F. Dolz; José I. Mestre; Enrique S. Quintana-Ortí; José Duato (PDP, 2021)

High performance and energy efficient inference for deep learning on ARM processors. - Adrián Castelló 001; Sergio Barrachina 001; Manuel F. Dolz; Enrique S. Quintana-Ortí; Pau San Juan (CoRR, 2021)

Acoustic Echo Cancellation using Residual U-Nets. - Julio Silva-Rodríguez; Manuel F. Dolz; Miguel Ferrer 001; Adrián Castelló 001; Valery Naranjo; Gema Piñero (CoRR, 2021)

Convolutional neural nets for estimating the run time and energy consumption of the sparse matrix-vector product. - Maria Barreda; Manuel F. Dolz; M. Asunción Castaño (Int. J. High Perform. Comput. Appl., 2021)

PyDTNN: A user-friendly and extensible framework for distributed deep learning. - Sergio Barrachina 001; Adrián Castelló 001; Mar Catalán; Manuel F. Dolz; José I. Mestre (J. Supercomput., 2021)

Towards Portable Realizations of Winograd-based Convolution with Vector Intrinsics and OpenMP. - Manuel F. Dolz; Adrián Castelló 001; Enrique S. Quintana-Ortí (PDP, 2022)

Convolution Operators for Deep Learning Inference on the Fujitsu A64FX Processor. - Manuel F. Dolz; Héctor Martínez 002; Pedro Alonso 002; Enrique S. Quintana-Ortí (SBAC-PAD, 2022)

Efficient and portable GEMM-based convolution operators for deep neural network training on multicore processors. - Sergio Barrachina 001; Manuel F. Dolz; Pablo San Juan; Enrique S. Quintana-Ortí (J. Parallel Distributed Comput., 2022)

High performance and energy efficient inference for deep learning on multicore ARM processors using general optimization techniques and BLIS. - Adrián Castelló 001; Sergio Barrachina 001; Manuel F. Dolz; Enrique S. Quintana-Ortí; Pau San Juan; Andrés E. Tomás (J. Syst. Archit., 2022)

BestOf: an online implementation selector for the training and inference of deep neural networks. - Sergio Barrachina 001; Adrián Castelló 001; Manuel F. Dolz; Andrés E. Tomás (J. Supercomput., 2022)

GreenLightningAI: An Efficient AI System with Decoupled Structural and Quantitative Knowledge. - José Duato; José I. Mestre; Manuel F. Dolz; Enrique S. Quintana-Ortí (CoRR, 2023)

Reformulating the direct convolution for high-performance deep learning inference on ARM processors. - Sergio Barrachina 001; Adrián Castelló 001; Manuel F. Dolz; Tze Meng Low; Héctor Martínez 002; Enrique S. Quintana-Ortí; Upasana Sridhar; Andrés E. Tomás (J. Syst. Archit., 2023)

Using machine learning to model the training scalability of convolutional neural networks on clusters of GPUs. - Sergio Barrachina 001; Adrián Castelló 001; Mar Catalán; Manuel F. Dolz; José I. Mestre (Computing, 2023)

Analyzing the impact of the MPI allreduce in distributed training of convolutional neural networks. - Adrián Castelló 001; Mar Catalán; Manuel F. Dolz; Enrique S. Quintana-Ortí; José Duato (Computing, 2023)

Performance-energy trade-offs of deep learning convolution algorithms on ARM processors. - Manuel F. Dolz; Sergio Barrachina 001; Héctor Martínez 002; Adrián Castelló 001; Antonio-Manuel Vidal-Maciá; Germán Fabregat; Andrés E. Tomás (J. Supercomput., 2023)

Efficient and portable Winograd convolutions for multi-core processors. - Manuel F. Dolz; Héctor Martínez 002; Adrián Castelló 001; Pedro Alonso-Jordá; Enrique S. Quintana-Ortí (J. Supercomput., 2023)

Optimizing Convolutions for Deep Learning Inference on ARM Cortex-M Processors. - Antonio Maciá-Lillo; Sergio Barrachina 001; Germán Fabregat; Manuel F. Dolz (IEEE Internet Things J., 2024)

Urban sound classification using neural networks on embedded FPGAs. - Jose A. Belloch; Raul Coronado; Óscar Valls; Rocío del Amor; German Leon; Valery Naranjo; Manuel F. Dolz; Adrian Amor-Martin; Gema Piñero (J. Supercomput., 2024)

Automatic generation of ARM NEON micro-kernels for matrix multiplication. - Guillermo Alaejos; Héctor Martínez 002; Adrián Castelló 001; Manuel F. Dolz; Francisco D. Igual; Pedro Alonso-Jordá; Enrique S. Quintana-Ortí (J. Supercomput., 2024)

Decoupling Structural and Quantitative Knowledge in ReLU-based Deep Neural Networks. - José Duato; José I. Mestre; Manuel F. Dolz; Enrique S. Quintana-Ortí; José Cano 001 (EuroMLSys, 2025)

Deep learning inference optimisation for IoT: Conv2D-ReLU-BN layer fusion and quantisation. - José I. Mestre; Sergio Barrachina 001; Darwin Quezada; Manuel F. Dolz (J. Supercomput., 2025)

OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection. - Alberto Fernández-Hernández; José I. Mestre; Manuel F. Dolz; José Duato; Enrique S. Quintana-Ortí (CoRR, 2025)

Sinusoidal Initialization, Time for a New Start. - Alberto Fernández-Hernández; José I. Mestre; Manuel F. Dolz; José Duato; Enrique S. Quintana-Ortí (CoRR, 2025)

GLAI: GreenLightningAI for Accelerated Training through Knowledge Decoupling. - José I. Mestre; Alberto Fernández-Hernández; Cristian Pérez-Corral; Manuel F. Dolz; José Duato; Enrique S. Quintana-Ortí (CoRR, 2025)