Manuel F. Dolz

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 58

Top Topics

Multicore Processors

Top Venues

J. Supercomput.

Comput. Sci. Res. Dev.

Concurr. Comput. Pract. Exp.

Publications

Jose A. Belloch, Raul Coronado, Óscar Valls, Rocío del Amor, German Leon, Valery Naranjo, Manuel F. Dolz, Adrian Amor-Martin, Gema Piñero
Urban sound classification using neural networks on embedded FPGAs. J. Supercomput. 80 (9) (2024)
Guillermo Alaejos, Héctor Martínez, Adrián Castelló, Manuel F. Dolz, Francisco D. Igual, Pedro Alonso-Jordá, Enrique S. Quintana-Ortí
Automatic generation of ARM NEON micro-kernels for matrix multiplication. J. Supercomput. 80 (10) (2024)
Antonio Maciá-Lillo, Sergio Barrachina, Germán Fabregat, Manuel F. Dolz
Optimizing Convolutions for Deep Learning Inference on ARM Cortex-M Processors. IEEE Internet Things J. 11 (15) (2024)
Manuel F. Dolz, Sergio Barrachina, Héctor Martínez, Adrián Castelló, Antonio-Manuel Vidal-Maciá, Germán Fabregat, Andrés E. Tomás
Performance-energy trade-offs of deep learning convolution algorithms on ARM processors. J. Supercomput. 79 (9) (2023)
Manuel F. Dolz, Héctor Martínez, Adrián Castelló, Pedro Alonso-Jordá, Enrique S. Quintana-Ortí
Efficient and portable Winograd convolutions for multi-core processors. J. Supercomput. 79 (10) (2023)
Adrián Castelló, Mar Catalán, Manuel F. Dolz, Enrique S. Quintana-Ortí, José Duato
Analyzing the impact of the MPI allreduce in distributed training of convolutional neural networks. Computing 105 (5) (2023)
José Duato, José I. Mestre, Manuel F. Dolz, Enrique S. Quintana-Ortí
GreenLightningAI: An Efficient AI System with Decoupled Structural and Quantitative Knowledge. CoRR (2023)
Sergio Barrachina, Adrián Castelló, Manuel F. Dolz, Tze Meng Low, Héctor Martínez, Enrique S. Quintana-Ortí, Upasana Sridhar, Andrés E. Tomás
Reformulating the direct convolution for high-performance deep learning inference on ARM processors. J. Syst. Archit. 135 (2023)
Sergio Barrachina, Adrián Castelló, Mar Catalán, Manuel F. Dolz, José I. Mestre
Using machine learning to model the training scalability of convolutional neural networks on clusters of GPUs. Computing 105 (5) (2023)
Sergio Barrachina, Manuel F. Dolz, Pablo San Juan, Enrique S. Quintana-Ortí
Efficient and portable GEMM-based convolution operators for deep neural network training on multicore processors. J. Parallel Distributed Comput. 167 (2022)
Manuel F. Dolz, Héctor Martínez, Pedro Alonso, Enrique S. Quintana-Ortí
Convolution Operators for Deep Learning Inference on the Fujitsu A64FX Processor. SBAC-PAD (2022)
Adrián Castelló, Sergio Barrachina, Manuel F. Dolz, Enrique S. Quintana-Ortí, Pau San Juan, Andrés E. Tomás
High performance and energy efficient inference for deep learning on multicore ARM processors using general optimization techniques and BLIS. J. Syst. Archit. 125 (2022)
Manuel F. Dolz, Adrián Castelló, Enrique S. Quintana-Ortí
Towards Portable Realizations of Winograd-based Convolution with Vector Intrinsics and OpenMP. PDP (2022)
Sergio Barrachina, Adrián Castelló, Manuel F. Dolz, Andrés E. Tomás
BestOf: an online implementation selector for the training and inference of deep neural networks. J. Supercomput. 78 (16) (2022)
Sergio Barrachina, Adrián Castelló, Mar Catalán, Manuel F. Dolz, José I. Mestre
PyDTNN: A user-friendly and extensible framework for distributed deep learning. J. Supercomput. 77 (9) (2021)
Julio Silva-Rodríguez, Manuel F. Dolz, M. Ferrer, Adrián Castelló, Valery Naranjo, G. Piñero
Acoustic Echo Cancellation using Residual U-Nets. CoRR (2021)
Adrián Castelló, Mar Catalán, Manuel F. Dolz, José I. Mestre, Enrique S. Quintana-Ortí, José Duato
Evaluation of MPI Allreduce for Distributed Training of Convolutional Neural Networks. PDP (2021)
Maria Barreda, Manuel F. Dolz, M. Asunción Castaño
Convolutional neural nets for estimating the run time and energy consumption of the sparse matrix-vector product. Int. J. High Perform. Comput. Appl. 35 (3) (2021)
Adrián Castelló, Mar Catalán, Manuel F. Dolz, José I. Mestre, Enrique S. Quintana-Ortí, José Duato
Performance Modeling for Distributed Training of Convolutional Neural Networks. PDP (2021)
Sergio Barrachina, Adrián Castelló, Mar Catalán, Manuel F. Dolz, José I. Mestre
A Flexible Research-Oriented Framework for Distributed Training of Deep Neural Networks. IPDPS Workshops (2021)
Adrián Castelló, Sergio Barrachina, Manuel F. Dolz, Enrique S. Quintana-Ortí, Pau San Juan
High performance and energy efficient inference for deep learning on ARM processors. CoRR (2021)
Javier López-Gómez, David del Rio Astorga, Manuel F. Dolz, Javier Fernández, José Daniel García
Detecting semantic violations of lock-free data structures through C++ contracts. J. Supercomput. 76 (7) (2020)
Pablo San Juan, Adrián Castelló, Manuel F. Dolz, Pedro Alonso-Jordá, Enrique S. Quintana-Ortí
High Performance and Portable Convolution Operators for Multicore Processors. SBAC-PAD (2020)
Manuel F. Dolz, Fran J. Alventosa, Pedro Alonso-Jordá, Antonio M. Vidal
A pipeline for the QR update in digital signal processing. Comput. Math. Methods 2 (1) (2020)
Maria Barreda, Manuel F. Dolz, M. Asunción Castaño, Pedro Alonso-Jordá, Enrique S. Quintana-Ortí
Performance modeling of the sparse matrix-vector product via convolutional neural networks. J. Supercomput. 76 (11) (2020)
Pablo San Juan, Adrián Castelló, Manuel F. Dolz, Pedro Alonso-Jordá, Enrique S. Quintana-Ortí
High Performance and Portable Convolution Operators for ARM-based Multicore Processors. CoRR (2020)
Adrián Castelló, Manuel F. Dolz, Enrique S. Quintana-Ortí, José Duato
Analysis of model parallelism for distributed neural networks. EuroMPI (2019)
David del Rio Astorga, Manuel F. Dolz, Javier Fernández, Javier García Blas
Hybrid static-dynamic selection of implementation alternatives in heterogeneous environments. J. Supercomput. 75 (8) (2019)
Manuel F. Dolz, Fran J. Alventosa, Pedro Alonso-Jordá, Antonio M. Vidal
A pipeline structure for the block QR update in digital signal processing. J. Supercomput. 75 (3) (2019)
Raul Torres, Julian M. Kunkel, Manuel F. Dolz, Thomas Ludwig
A similarity study of I/O traces via string kernels. J. Supercomput. 75 (12) (2019)
Javier López-Gómez, Javier Fernández Muñoz, David del Rio Astorga, Manuel F. Dolz, José Daniel García
Exploring stream parallel patterns in distributed MPI environments. Parallel Comput. 84 (2019)
Adrián Castelló, Manuel F. Dolz, Enrique S. Quintana-Ortí, José Duato
Theoretical Scalability Analysis of Distributed Deep Convolutional Neural Networks. CCGRID (2019)
Javier Fernández Muñoz, Manuel F. Dolz, David del Rio Astorga, Javier Prieto Cepeda, José Daniel García
Supporting MPI-distributed stream parallel patterns in GrPPI. EuroMPI (2018)
David del Rio Astorga, Manuel F. Dolz, Javier Fernández, José Daniel García
Paving the way towards high-level parallel pattern interfaces for data stream processing. Future Gener. Comput. Syst. 87 (2018)
Julian M. Kunkel, Manuel F. Dolz
Understanding hardware and software metrics with respect to power consumption. Sustain. Comput. Informatics Syst. 17 (2018)
Raul Torres, Thomas Ludwig, Julian M. Kunkel, Manuel F. Dolz
Comparison of Clang Abstract Syntax Trees using String Kernels. HPCS (2018)
David del Rio Astorga, Manuel F. Dolz, Luis Miguel Sánchez, Javier Fernández, José Daniel García
An adaptive offline implementation selector for heterogeneous parallel platforms. Int. J. High Perform. Comput. Appl. 32 (6) (2018)
Placido Fernández, David del Rio Astorga, Manuel F. Dolz, Javier Fernández, Omar Awile, José Daniel García
Parallelizing and Optimizing LHCb-Kalman for Intel Xeon Phi KNL Processors. PDP (2018)
David del Rio Astorga, Manuel F. Dolz, Luis Miguel Sánchez, José Daniel García, Marco Danelutto, Massimo Torquati
Finding parallel patterns through static analysis in C++ applications. Int. J. High Perform. Comput. Appl. 32 (6) (2018)
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, Ariel Oleksiak, Anne-Cécile Orgerie, Jean-Marc Pierson
Energy monitoring as an essential building block towards sustainable ultrascale systems. Sustain. Comput. Informatics Syst. 17 (2018)
Manuel F. Dolz, David del Rio Astorga, Javier Fernández, José Daniel García, Jesús Carretero
Towards Automatic Parallelization of Stream Processing Applications. IEEE Access 6 (2018)
Javier Fernández, Andrés Sánchez Cuadrado, David del Rio Astorga, Manuel F. Dolz, José Daniel García
Probabilistic-Based Selection of Alternate Implementations for Heterogeneous Platforms. ICA3PP (2017)
David del Rio Astorga, Manuel F. Dolz, Javier Fernández, José Daniel García
Supporting Advanced Patterns in GrPPI, a Generic Parallel Pattern Interface. Euro-Par Workshops (2017)
Manuel F. Dolz, David del Rio Astorga, Javier Fernández, Massimo Torquati, José Daniel García, Félix García Carballeira, Marco Danelutto
Enabling semantics to improve detection of data races and misuses of lock-free data structures. Concurr. Comput. Pract. Exp. 29 (15) (2017)
David del Rio Astorga, Manuel F. Dolz, Javier Fernández, José Daniel García
A generic parallel pattern interface for stream and data processing. Concurr. Comput. Pract. Exp. 29 (24) (2017)
José Ignacio Aliaga, Maria Barreda, M. Asunción Castaño, Manuel F. Dolz, Enrique S. Quintana-Ortí
Adapting concurrency throttling and voltage-frequency scaling for dense eigensolvers. J. Supercomput. 73 (1) (2017)
Raul Torres, Julian M. Kunkel, Manuel F. Dolz, Thomas Ludwig
A Novel String Representation and Kernel Function for the Comparison of I/O Access Patterns. PaCT (2017)
David del Rio Astorga, Manuel F. Dolz, Luis Miguel Sánchez, Javier García Blas, José Daniel García
A C++ Generic Parallel Pattern Interface for Stream Processing. ICA3PP (2016)
Luis Miguel Sánchez, David del Rio Astorga, Manuel F. Dolz, Javier Fernández
CID: A Compile-Time Implementation Decider for Heterogeneous Platforms Based on C++ Attributes. UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld (2016)
Pablo Llopis, Manuel F. Dolz, Francisco Javier García Blas, Florin Isaila, Mohammad Reza Heidari, Michael Kuhn
Analyzing the energy consumption of the storage data path. J. Supercomput. 72 (11) (2016)
Manuel F. Dolz, Julian M. Kunkel, Konstantinos Chasapis, Sandra Catalán
An analytical methodology to derive power models based on hardware and software metrics. Comput. Sci. Res. Dev. 31 (4) (2016)
Javier García Blas, Manuel F. Dolz, José Daniel García, Jesús Carretero, Alessandro Daducci, Yasser Alemán-Gómez, Erick Jorge Canales-Rodríguez
Porting Matlab Applications to High-Performance C++ Codes: CPU/GPU-Accelerated Spherical Deconvolution of Diffusion MRI Data. ICA3PP (2016)
David del Rio Astorga, Manuel F. Dolz, Luis Miguel Sánchez, José Daniel García
Discovering Pipeline Parallel Patterns in Sequential Legacy C++ Codes. PMAM@PPoPP (2016)
Manuel F. Dolz, David del Rio Astorga, Javier Fernández, José Daniel García, Félix García Carballeira, Marco Danelutto, Massimo Torquati
Embedding Semantics of the Single-Producer/Single-Consumer Lock-Free Queue into a Race Detection Tool. PMAM@PPoPP (2016)
Joseph Charles, William B. Sawyer, Manuel F. Dolz, Sandra Catalán
Evaluating the performance and energy efficiency of the COSMO-ART model system. Comput. Sci. Res. Dev. 30 (2) (2015)
José Ignacio Aliaga, Maria Barreda, Manuel F. Dolz, Enrique S. Quintana-Ortí
Are our dense linear algebra libraries energy-friendly? Comput. Sci. Res. Dev. 30 (2) (2015)
Manuel F. Dolz, Mohammad Reza Heidari, Michael Kuhn, Thomas Ludwig, Germán Fabregat
ARDUPOWER: A low-cost wattmeter to improve energy efficiency of HPC applications. IGSC (2015)
Manuel F. Dolz, Francisco D. Igual, Thomas Ludwig, Luis Piñuel, Enrique S. Quintana-Ortí
Balancing task- and data-level parallelism to improve performance and energy consumption of matrix computations on the Intel Xeon Phi. Comput. Electr. Eng. 46 (2015)
Mohammed el Mehdi Diouri, Manuel F. Dolz, Olivier Glück, Laurent Lefèvre, Pedro Alonso, Sandra Catalán, Rafael Mayo, Enrique S. Quintana-Ortí
Assessing Power Monitoring Approaches for Energy and Power Analysis of Computers. Sustain. Comput. Informatics Syst. 4 (2) (2014)
Pedro Alonso, Manuel F. Dolz, Francisco D. Igual, Rafael Mayo, Enrique S. Quintana-Ortí
Enhancing performance and energy consumption of runtime schedulers for dense linear algebra. Concurr. Comput. Pract. Exp. 26 (15) (2014)
Konstantinos Chasapis, Manuel F. Dolz, Michael Kuhn, Thomas Ludwig
Evaluating Lustre's metadata server on a multi-socket platform. PDSW@SC (2014)
Pedro Alonso, Manuel F. Dolz, Antonio M. Vidal
Block pivoting implementation of a symmetric Toeplitz solver. J. Parallel Distributed Comput. 74 (5) (2014)
José Ignacio Aliaga, Maria Barreda, Manuel F. Dolz, Alberto F. Martín, Rafael Mayo, Enrique S. Quintana-Ortí
Assessing the impact of the CPU power-saving modes on the task-parallel solution of sparse linear systems. Clust. Comput. 17 (4) (2014)
Pedro Alonso, Manuel F. Dolz, Rafael Mayo, Enrique S. Quintana-Ortí
Modeling power and energy consumption of dense matrix factorizations on multicore processors. Concurr. Comput. Pract. Exp. 26 (17) (2014)
Pedro Alonso, Manuel F. Dolz, Rafael Mayo, Enrique S. Quintana-Ortí
Modeling power and energy of the task-parallel Cholesky factorization on multicore processors. Comput. Sci. Res. Dev. 29 (2) (2014)
Maria Barreda, Sandra Catalán, Manuel F. Dolz, Rafael Mayo, Enrique S. Quintana-Ortí
Automatic detection of power bottlenecks in parallel scientific applications. Comput. Sci. Res. Dev. 29 (3-4) (2014)
Robert Schöne, Jan Treibig, Manuel F. Dolz, Carla Guillén, Carmen B. Navarrete, Michael Knobloch, Barry Rountree
Tools and methods for measuring and tuning the energy efficiency of HPC systems. Sci. Program. 22 (4) (2014)
Pedro Alonso, Manuel F. Dolz, Francisco D. Igual, Enrique S. Quintana-Ortí, Rafael Mayo
Runtime Scheduling of the LU Factorization: Performance and Energy. EE-LSDS (2013)
Pedro Alonso, Manuel F. Dolz, Rafael Mayo, Enrique S. Quintana-Ortí
Energy-efficient execution of dense linear algebra algorithms on multi-core processors. Clust. Comput. 16 (3) (2013)
Mohammed el Mehdi Diouri, Manuel F. Dolz, Olivier Glück, Laurent Lefèvre, Pedro Alonso, Sandra Catalán, Rafael Mayo, Enrique S. Quintana-Ortí
Solving Some Mysteries in Power Monitoring of Servers: Take Care of Your Wattmeters! EE-LSDS (2013)
Manuel F. Dolz, Juan Carlos Fernández, Sergio Iserte, Rafael Mayo, Enrique S. Quintana-Ortí
A simulator to assess energy saving strategies and policies in HPC workloads. ACM SIGOPS Oper. Syst. Rev. 46 (2) (2012)
Pedro Alonso, Manuel F. Dolz, Francisco D. Igual, Rafael Mayo, Enrique S. Quintana-Ortí
Reducing Energy Consumption of Dense Linear Algebra Operations on Hybrid CPU-GPU Platforms. ISPA (2012)
Pedro Alonso, Rosa M. Badia, Jesús Labarta, Maria Barreda, Manuel F. Dolz, Rafael Mayo, Enrique S. Quintana-Ortí, Ruymán Reyes
Tools for Power-Energy Modelling and Analysis of Parallel Scientific Applications. ICPP (2012)
Pedro Alonso, Manuel F. Dolz, Francisco D. Igual, Rafael Mayo, Enrique S. Quintana-Ortí
DVFS-control techniques for dense linear algebra operations on multi-core processors. Comput. Sci. Res. Dev. 27 (4) (2012)
Maria Barreda, Manuel F. Dolz, Rafael Mayo, Enrique S. Quintana-Ortí, Ruymán Reyes
Binding Performance and Power of Dense Linear Algebra Operations. ISPA (2012)
Pedro Alonso, Manuel F. Dolz, Francisco D. Igual, Rafael Mayo, Enrique S. Quintana-Ortí
Saving Energy in the LU Factorization with Partial Pivoting on Multi-core Processors. PDP (2012)
José Ignacio Aliaga, Manuel F. Dolz, Alberto F. Martín, Rafael Mayo, Enrique S. Quintana-Ortí
Leveraging Task-Parallelism in Energy-Efficient ILU Preconditioners. ICT-GLOW (2012)
Pedro Alonso, Manuel F. Dolz, Francisco D. Igual, Bryan Marker, Rafael Mayo, Enrique S. Quintana-Ortí, Robert A. van de Geijn
Power-aware Dense Linear Algebra Implementations on Multi-core and Many-core Processors. MARC Symposium (2011)
Pedro Alonso, Manuel F. Dolz, Rafael Mayo, Enrique S. Quintana-Ortí
Improving power efficiency of dense linear algebra algorithms on multi-core processors via slack control. HPCS (2011)
Maribel Castillo, Manuel F. Dolz, Juan Carlos Fernández, Rafael Mayo, Enrique S. Quintana-Ortí, Vicente Roca
Evaluation of the Energy Performance of Dense Linear Algebra Kernels on Multi-core and Many-Core Processors. IPDPS Workshops (2011)
Manuel F. Dolz, Juan Carlos Fernández, Rafael Mayo, Enrique S. Quintana-Ortí
EnergySaving Cluster Roll: Power Saving System for Clusters. ARCS (2010)