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ORCIDManuel F. Dolz
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- affiliation: Charles III University of Madrid
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2020 – today
- 2024
[j45]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): 26203-26219 (2024)- [j44]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): 13176-13186 (2024) - [j43]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): 13873-13899 (2024) - 2023
- [j42]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): 915-934 (2023) - [j41]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): 1101-1119 (2023) - [j40]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: 102806 (2023) - [j39]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): 9819-9836 (2023) - [j38]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): 10589-10610 (2023) - [i4]José Duato, José I. Mestre, Manuel F. Dolz, Enrique S. Quintana-Ortí:
GreenLightningAI: An Efficient AI System with Decoupled Structural and Quantitative Knowledge. CoRR abs/2312.09971 (2023) - 2022
- [j37]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: 240-254 (2022) - [j36]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: 102459 (2022) - [j35]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): 17543-17558 (2022) - [c32]Manuel F. Dolz, Adrián Castelló, Enrique S. Quintana-Ortí:
Towards Portable Realizations of Winograd-based Convolution with Vector Intrinsics and OpenMP. PDP 2022: 39-46 - [c31]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: 160-169 - 2021
- [j34]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) - [j33]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): 9971-9987 (2021) - [c30]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: 730-739 - [c29]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: 99-108 - [c28]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: 109-116 - [i3]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 abs/2105.09187 (2021) - [i2]Julio Silva-Rodríguez, Manuel F. Dolz, Miguel Ferrer, Adrián Castelló, Valery Naranjo, Gema Piñero:
Acoustic Echo Cancellation using Residual U-Nets. CoRR abs/2109.09686 (2021) - 2020
- [j32]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) - [j31]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): 5057-5078 (2020) - [j30]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): 8883-8900 (2020) - [c27]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: 91-98 - [i1]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 abs/2005.06410 (2020)
2010 – 2019
- 2019
- [j29]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: 24-36 (2019) - [j28]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): 1470-1482 (2019) - [j27]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): 4098-4113 (2019) - [j26]Raul Torres, Julian M. Kunkel, Manuel F. Dolz, Thomas Ludwig:
A similarity study of I/O traces via string kernels. J. Supercomput. 75(12): 7814-7826 (2019) - [c26]Adrián Castelló, Manuel F. Dolz, Enrique S. Quintana-Ortí, José Duato:
Theoretical Scalability Analysis of Distributed Deep Convolutional Neural Networks. CCGRID 2019: 534-541 - [c25]Adrián Castelló, Manuel F. Dolz, Enrique S. Quintana-Ortí, José Duato:
Analysis of model parallelism for distributed neural networks. EuroMPI 2019: 7:1-7:10 - 2018
- [j25]Manuel F. Dolz, David del Rio Astorga, Javier Fernández, José Daniel García, Jesús Carretero:
Towards Automatic Parallelization of Stream Processing Applications. IEEE Access 6: 39944-39961 (2018) - [j24]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: 228-241 (2018) - [j23]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) - [j22]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) - [j21]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: 27-42 (2018) - [j20]Julian M. Kunkel, Manuel F. Dolz:
Understanding hardware and software metrics with respect to power consumption. Sustain. Comput. Informatics Syst. 17: 43-54 (2018) - [c24]Raul Torres, Thomas Ludwig, Julian M. Kunkel, Manuel F. Dolz:
Comparison of Clang Abstract Syntax Trees using String Kernels. HPCS 2018: 106-113 - [c23]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: 741-750 - [c22]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: 17:1-17:10 - 2017
- [j19]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) - [j18]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) - [j17]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): 29-43 (2017) - [c21]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: 55-67 - [c20]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: 749-758 - [c19]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: 500-512 - 2016
- [j16]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): 165-174 (2016) - [j15]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): 4089-4106 (2016) - [c18]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: 74-87 - [c17]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: 630-643 - [c16]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: 11-19 - [c15]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: 20-29 - [c14]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: 1149-1156 - 2015
- [j14]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: 95-111 (2015) - [j13]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): 177-186 (2015) - [j12]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): 187-196 (2015) - [c13]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: 1-8 - 2014
- [b1]Manuel F. Dolz:
Energy-aware matrix computacion on multirhreaded architectures. Jaume I University, Spain, 2014 - [j11]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): 1335-1348 (2014) - [j10]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): 2591-2611 (2014) - [j9]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): 2743-2757 (2014) - [j8]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): 105-112 (2014) - [j7]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): 221-229 (2014) - [j6]Pedro Alonso, Manuel F. Dolz, Antonio M. Vidal:
Block pivoting implementation of a symmetric Toeplitz solver. J. Parallel Distributed Comput. 74(5): 2392-2399 (2014) - [j5]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): 273-283 (2014) - [j4]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): 68-82 (2014) - [c12]Konstantinos Chasapis, Manuel F. Dolz, Michael Kuhn, Thomas Ludwig:
Evaluating Lustre's metadata server on a multi-socket platform. PDSW@SC 2014: 13-18 - 2013
- [j3]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): 497-509 (2013) - [c11]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: 3-18 - [c10]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: 153-167 - 2012
- [j2]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): 289-298 (2012) - [j1]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): 2-9 (2012) - [c9]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: 420-429 - [c8]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: 55-63 - [c7]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: 56-62 - [c6]Maria Barreda, Manuel F. Dolz, Rafael Mayo, Enrique S. Quintana-Ortí, Ruymán Reyes:
Binding Performance and Power of Dense Linear Algebra Operations. ISPA 2012: 63-70 - [c5]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: 353-358 - 2011
- [c4]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: 463-470 - [c3]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: 846-853 - [c2]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: 103-106 - 2010
- [c1]Manuel F. Dolz, Juan Carlos Fernández, Rafael Mayo, Enrique S. Quintana-Ortí:
EnergySaving Cluster Roll: Power Saving System for Clusters. ARCS 2010: 162-173
Coauthor Index
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