José R. Herrero

54 papers A 1C 3Misc 4Journal 31Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
Exploiting mixed-precision redundancy for soft-error detection in LU decomposition.
J. Supercomput.
Nima Sahraneshinsamani, Sandra Catalán, José R. Herrero
2025 J jnl
Cache-aware optimization of matrix multiplication and matrix factorizations on multicore processors.
Clust. Comput.
Héctor Martínez, Sandra Catalán, Francisco D. Igual, José R. Herrero, Rafael Rodríguez-Sánchez, Enrique S. Quintana-Ortí
2025 J jnl
Mixed-precision pre-pivoting strategy for the LU factorization.
J. Supercomput.
Nima Sahraneshinsamani, Sandra Catalán, José R. Herrero
2023 J jnl
Co-Design of the Dense Linear AlgebravSoftware Stack for Multicore Processors.
CoRR
Héctor Martínez, Sandra Catalán, Francisco D. Igual, José R. Herrero, Rafael Rodríguez-Sánchez, Enrique S. Quintana-Ortí
2023 J jnl
Fine-grain task-parallel algorithms for matrix factorizations and inversion on many-threaded CPUs.
Concurr. Comput. Pract. Exp.
Sandra Catalán, José R. Herrero, Francisco D. Igual, Enrique S. Quintana-Ortí, Rafael Rodríguez-Sánchez
2023 J jnl
Programming parallel dense matrix factorizations and inversion for new-generation NUMA architectures.
J. Parallel Distributed Comput.
Sandra Catalán, Francisco D. Igual, José R. Herrero, Rafael Rodríguez-Sánchez, Enrique S. Quintana-Ortí
2022 J jnl
A distributed Monte Carlo based linear algebra solver applied to the analysis of large complex networks.
Future Gener. Comput. Syst.
Filipe Magalhães, José Monteiro, Juan A. Acebrón, José R. Herrero
2022 J jnl
Acceleration strategies for large-scale sequential simulations using parallel neighbour search: Non-LVA and LVA scenarios.
Comput. Geosci.
Oscar F. Peredo, José R. Herrero
2022 C conf
NUMA-Aware Dense Matrix Factorizations and Inversion with Look-Ahead on Multicore Processors.
SBAC-PAD
Sandra Catalán, Francisco D. Igual, Rafael Rodríguez-Sánchez, José R. Herrero, Enrique S. Quintana-Ortí
2021 — conf
A New Generation of Task-Parallel Algorithms for Matrix Inversion in Many-Threaded CPUs.
PMAM@PPoPP
Sandra Catalán, Francisco D. Igual, Rafael Rodríguez-Sánchez, José R. Herrero, Enrique S. Quintana-Ortí
2021 J jnl
Efficient update of determinants for many-electron wave function overlaps.
Comput. Phys. Commun.
Pedro Alonso-Jordá, Davor Davidovic, Marin Sapunar, José R. Herrero, Enrique S. Quintana-Ortí
2020 J jnl
A highly parallel algorithm for computing the action of a matrix exponential on a vector based on a multilevel Monte Carlo method.
Comput. Math. Appl.
Juan A. Acebrón, José R. Herrero, José Monteiro
2019 J jnl
A Case for Malleable Thread-Level Linear Algebra Libraries: The LU Factorization With Partial Pivoting.
IEEE Access
Sandra Catalán, José R. Herrero, Enrique S. Quintana-Ortí, Rafael Rodríguez-Sánchez, Robert A. van de Geijn
2019 J jnl
Look-ahead in the two-sided reduction to compact band forms for symmetric eigenvalue problems and the SVD.
Numer. Algorithms
Rafael Rodríguez-Sánchez, Sandra Catalán, José R. Herrero, Enrique S. Quintana-Ortí, Andrés E. Tomás
2018 J jnl
A path-level exact parallelization strategy for sequential simulation.
Comput. Geosci.
Oscar Peredo, Daniel Baeza, Julián M. Ortiz, José R. Herrero
2018 J jnl
Energy balance between voltage-frequency scaling and resilience for linear algebra routines on low-power multicore architectures.
Parallel Comput.
Sandra Catalán, José R. Herrero, Enrique S. Quintana-Ortí, Rafael Rodríguez-Sánchez
2018 J jnl
Multi-threaded dense linear algebra libraries for low-power asymmetric multicore processors.
J. Comput. Sci.
Sandra Catalán, José R. Herrero, Francisco D. Igual, Rafael Rodríguez-Sánchez, Enrique S. Quintana-Ortí, Chris Adeniyi-Jones
2018 J jnl
Static scheduling of the LU factorization with look-ahead on asymmetric multicore processors.
Parallel Comput.
Sandra Catalán, José R. Herrero, Enrique S. Quintana-Ortí, Rafael Rodríguez-Sánchez
2018 J jnl
Two-sided orthogonal reductions to condensed forms on asymmetric multicore processors.
Parallel Comput.
Pedro Alonso, Sandra Catalán, José R. Herrero, Enrique S. Quintana-Ortí, Rafael Rodríguez-Sánchez
2017 — conf
Low-latency multi-threaded ensemble learning for dynamic big data streams.
IEEE BigData
Diego Marron, Eduard Ayguadé, José R. Herrero, Jesse Read, Albert Bifet
2017 — conf
Reduction to Tridiagonal Form for Symmetric Eigenproblems on Asymmetric Multicore Processors.
PMAM@PPoPP
Pedro Alonso, Sandra Catalán, José R. Herrero, Enrique S. Quintana-Ortí, Rafael Rodríguez-Sánchez
2017 — conf
Static Versus Dynamic Task Scheduling of the Lu Factorization on ARM big. LITTLE Architectures.
IPDPS Workshops
Sandra Catalán, Rafael Rodríguez-Sánchez, Enrique S. Quintana-Ortí, José R. Herrero
2017 J jnl
Two-Sided Reduction to Compact Band Forms with Look-Ahead.
CoRR
Rafael Rodríguez-Sánchez, Sandra Catalán, José R. Herrero, Enrique S. Quintana-Ortí, Andrés E. Tomás
2016 J jnl
A Case for Malleable Thread-Level Linear Algebra Libraries: The LU Factorization with Partial Pivoting.
CoRR
Sandra Catalán, José R. Herrero, Enrique S. Quintana-Ortí, Rafael Rodríguez-Sánchez, Robert A. van de Geijn
2016 C conf
Echo State Hoeffding Tree Learning.
ACML
Diego Marron, Jesse Read, Albert Bifet, Talel Abdessalem, Eduard Ayguadé, José R. Herrero
2015 J jnl
Acceleration of the Geostatistical Software Library (GSLIB) by code optimization and hybrid parallel programming.
Comput. Geosci.
Oscar Peredo, Julián M. Ortiz, José R. Herrero
2015 J jnl
Multi-Threaded Dense Linear Algebra Libraries for Low-Power Asymmetric Multicore Processors.
CoRR
Sandra Catalán, José R. Herrero, Francisco D. Igual, Rafael Rodríguez-Sánchez, Enrique S. Quintana-Ortí
2015 J jnl
Parallel computing on graphics processing units and heterogeneous platforms.
Concurr. Comput. Pract. Exp.
Paolo Bientinesi, José R. Herrero, Enrique S. Quintana-Ortí, Robert Strzodka
2015 Misc conf
Tareador: a tool to unveil parallelization strategies at undergraduate level.
WCAE
Eduard Ayguadé, Rosa M. Badia, Daniel Jiménez-González, José R. Herrero, Jesús Labarta, Vladimir Subotic, Gladys Utrera
2014 C conf
Evaluation and assessment of professional skills in the Final Year Project.
FIE
Fermín Sánchez, Joan Climent, Julita Corbalán, Pau Fonseca, Jordi García, José R. Herrero, Xavier Llinas, Horacio Rodríguez, Maria-Ribera Sancho, Marc Alier, Jose Cabré, David López
2014 J jnl
Tuning and hybrid parallelization of a genetic-based multi-point statistics simulation code.
Parallel Comput.
Oscar Peredo, Julián M. Ortiz, José R. Herrero, Cristóbal Samaniego
2013 — conf
A Square Block Format for Symmetric Band Matrices.
PPAM (1)
Fred G. Gustavson, José R. Herrero, Enric Morancho
2013 J jnl
Graphics processing unit computing and exploitation of hardware accelerators.
Concurr. Comput. Pract. Exp.
Margarita Amor, Ramon Doallo, Basilio B. Fraguela, José R. Herrero, Enrique S. Quintana-Ortí, Robert Strzodka
2013 J jnl
Level-3 Cholesky Factorization Routines Improve Performance of Many Cholesky Algorithms.
ACM Trans. Math. Softw.
Fred G. Gustavson, Jerzy Wasniewski, Jack J. Dongarra, José R. Herrero, Julien Langou
2012 J jnl
On new computational local orders of convergence.
Appl. Math. Lett.
Miquel Grau-Sánchez, Miquel Noguera, Àngela Grau, José R. Herrero
2011 — conf
New Level-3 BLAS Kernels for Cholesky Factorization.
PPAM (1)
Fred G. Gustavson, Jerzy Wasniewski, José R. Herrero
2011 J jnl
Special Issue: GPU computing.
Concurr. Comput. Pract. Exp.
José R. Herrero, Enrique S. Quintana-Ortí, Robert Strzodka
2009 J jnl
Parallelizing dense and banded linear algebra libraries using SMPSs.
Concurr. Comput. Pract. Exp.
Rosa M. Badia, José R. Herrero, Jesús Labarta, Josep M. Pérez, Enrique S. Quintana-Ortí, Gregorio Quintana-Ortí
2008 J jnl
Hypermatrix oriented supernode amalgamation.
J. Supercomput.
José R. Herrero, Juan J. Navarro
2007 J jnl
Analysis of a sparse hypermatrix Cholesky with fixed-sized blocking.
Appl. Algebra Eng. Commun. Comput.
José R. Herrero, Juan J. Navarro
2007 J jnl
Exploiting computer resources for fast nearest neighbor classification.
Pattern Anal. Appl.
José R. Herrero, Juan J. Navarro
2007 Misc conf
New Data Structures for Matrices and Specialized Inner Kernels: Low Overhead for High Performance.
PPAM
José R. Herrero
2006 — conf
Compiler-Optimized Kernels: An Efficient Alternative to Hand-Coded Inner Kernels.
ICCSA (5)
José R. Herrero, Juan J. Navarro
2006 — conf
Sparse Hypermatrix Cholesky: Customization for High Performance.
IMECS
José R. Herrero, Juan J. Navarro
2006 — conf
Using Non-canonical Array Layouts in Dense Matrix Operations.
PARA
José R. Herrero, Juan J. Navarro
2005 Misc conf
A Study on Load Imbalance in Parallel Hypermatrix Multiplication Using OpenMP.
PPAM
José R. Herrero, Juan J. Navarro
2005 Misc conf
Adapting Linear Algebra Codes to the Memory Hierarchy Using a Hypermatrix Scheme.
PPAM
José R. Herrero, Juan J. Navarro
2005 — conf
Efficient Implementation of Nearest Neighbor Classification.
CORES
José R. Herrero, Juan J. Navarro
2004 — conf
Optimization of a Statically Partitioned Hypermatrix Sparse Cholesky Factorization.
PARA
José R. Herrero, Juan J. Navarro
2003 — conf
Automatic Benchmarking and Optimization of Codes: An Experience with Numerical Kernels.
Software Engineering Research and Practice
José R. Herrero, Juan J. Navarro
2003 — conf
Building Software Via Shared Knowledge.
Software Engineering Research and Practice
José R. Herrero, Juan J. Navarro
2003 — conf
Improving Performance of Hypermatrix Cholesky Factorization.
Euro-Par
José R. Herrero, Juan J. Navarro
2003 — conf
Operating System Support for Process Confinement.
Security and Management
José R. Herrero, David Benlliure
1996 A conf
Data Prefetching and Multilevel Blocking for Linear Algebra Operations.
International Conference on Supercomputing
Juan J. Navarro, Elena García-Diego, José R. Herrero