José R. Herrero

Publication Activity (10 Years)

Years Active: 1996-2023
Publications (10 Years): 21

Top Topics

Multicore Processors

Parallel Algorithm

Top Venues

Parallel Comput.

Comput. Geosci.

Concurr. Comput. Pract. Exp.

Publications

Héctor Martínez, Sandra Catalán, Francisco D. Igual, José R. Herrero, Rafael Rodríguez-Sánchez, Enrique S. Quintana-Ortí
Co-Design of the Dense Linear AlgebravSoftware Stack for Multicore Processors. CoRR (2023)
Sandra Catalán, Francisco D. Igual, José R. Herrero, Rafael Rodríguez-Sánchez, Enrique S. Quintana-Ortí
Programming parallel dense matrix factorizations and inversion for new-generation NUMA architectures. J. Parallel Distributed Comput. 175 (2023)
Filipe Magalhães, José Monteiro, Juan A. Acebrón, José R. Herrero
A distributed Monte Carlo based linear algebra solver applied to the analysis of large complex networks. Future Gener. Comput. Syst. 127 (2022)
Sandra Catalán, Francisco D. Igual, Rafael Rodríguez-Sánchez, José R. Herrero, Enrique S. Quintana-Ortí
NUMA-Aware Dense Matrix Factorizations and Inversion with Look-Ahead on Multicore Processors. SBAC-PAD (2022)
Oscar F. Peredo, José R. Herrero
Acceleration strategies for large-scale sequential simulations using parallel neighbour search: Non-LVA and LVA scenarios. Comput. Geosci. 160 (2022)
Pedro Alonso-Jordá, Davor Davidovic, Marin Sapunar, José R. Herrero, Enrique S. Quintana-Ortí
Efficient update of determinants for many-electron wave function overlaps. Comput. Phys. Commun. 258 (2021)
Sandra Catalán, Francisco D. Igual, Rafael Rodríguez-Sánchez, José R. Herrero, Enrique S. Quintana-Ortí
A New Generation of Task-Parallel Algorithms for Matrix Inversion in Many-Threaded CPUs. PMAM@PPoPP (2021)
Juan A. Acebrón, José R. Herrero, José Monteiro
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. 79 (12) (2020)
Rafael Rodríguez-Sánchez, Sandra Catalán, José R. Herrero, Enrique S. Quintana-Ortí, Andrés E. Tomás
Look-ahead in the two-sided reduction to compact band forms for symmetric eigenvalue problems and the SVD. Numer. Algorithms 80 (2) (2019)
Sandra Catalán, José R. Herrero, Enrique S. Quintana-Ortí, Rafael Rodríguez-Sánchez, Robert A. van de Geijn
A Case for Malleable Thread-Level Linear Algebra Libraries: The LU Factorization With Partial Pivoting. IEEE Access 7 (2019)
Sandra Catalán, José R. Herrero, Francisco D. Igual, Rafael Rodríguez-Sánchez, Enrique S. Quintana-Ortí, Chris Adeniyi-Jones
Multi-threaded dense linear algebra libraries for low-power asymmetric multicore processors. J. Comput. Sci. 25 (2018)
Sandra Catalán, José R. Herrero, Enrique S. Quintana-Ortí, Rafael Rodríguez-Sánchez
Static scheduling of the LU factorization with look-ahead on asymmetric multicore processors. Parallel Comput. 76 (2018)
Pedro Alonso, Sandra Catalán, José R. Herrero, Enrique S. Quintana-Ortí, Rafael Rodríguez-Sánchez
Two-sided orthogonal reductions to condensed forms on asymmetric multicore processors. Parallel Comput. 78 (2018)
Oscar Peredo, Daniel Baeza, Julián M. Ortiz, José R. Herrero
A path-level exact parallelization strategy for sequential simulation. Comput. Geosci. 110 (2018)
Sandra Catalán, José R. Herrero, Enrique S. Quintana-Ortí, Rafael Rodríguez-Sánchez
Energy balance between voltage-frequency scaling and resilience for linear algebra routines on low-power multicore architectures. Parallel Comput. 73 (2018)
Diego Marron, Eduard Ayguadé, José R. Herrero, Jesse Read, Albert Bifet
Low-latency multi-threaded ensemble learning for dynamic big data streams. IEEE BigData (2017)
Rafael Rodríguez-Sánchez, Sandra Catalán, José R. Herrero, Enrique S. Quintana-Ortí, Andrés E. Tomás
Two-Sided Reduction to Compact Band Forms with Look-Ahead. CoRR (2017)
Pedro Alonso, Sandra Catalán, José R. Herrero, Enrique S. Quintana-Ortí, Rafael Rodríguez-Sánchez
Reduction to Tridiagonal Form for Symmetric Eigenproblems on Asymmetric Multicore Processors. PMAM@PPoPP (2017)
Sandra Catalán, Rafael Rodríguez-Sánchez, Enrique S. Quintana-Ortí, José R. Herrero
Static Versus Dynamic Task Scheduling of the Lu Factorization on ARM big. LITTLE Architectures. IPDPS Workshops (2017)
Diego Marron, Jesse Read, Albert Bifet, Talel Abdessalem, Eduard Ayguadé, José R. Herrero
Echo State Hoeffding Tree Learning. ACML (2016)
Sandra Catalán, José R. Herrero, Enrique S. Quintana-Ortí, Rafael Rodríguez-Sánchez, Robert A. van de Geijn
A Case for Malleable Thread-Level Linear Algebra Libraries: The LU Factorization with Partial Pivoting. CoRR (2016)
Oscar Peredo, Julián M. Ortiz, José R. Herrero
Acceleration of the Geostatistical Software Library (GSLIB) by code optimization and hybrid parallel programming. Comput. Geosci. 85 (2015)
Sandra Catalán, José R. Herrero, Francisco D. Igual, Rafael Rodríguez-Sánchez, Enrique S. Quintana-Ortí
Multi-Threaded Dense Linear Algebra Libraries for Low-Power Asymmetric Multicore Processors. CoRR (2015)
Paolo Bientinesi, José R. Herrero, Enrique S. Quintana-Ortí, Robert Strzodka
Parallel computing on graphics processing units and heterogeneous platforms. Concurr. Comput. Pract. Exp. 27 (6) (2015)
Eduard Ayguadé, Rosa M. Badia, Daniel Jiménez-González, José R. Herrero, Jesús Labarta, Vladimir Subotic, Gladys Utrera
Tareador: a tool to unveil parallelization strategies at undergraduate level. WCAE (2015)
Oscar Peredo, Julián M. Ortiz, José R. Herrero, Cristobal Samaniego
Tuning and hybrid parallelization of a genetic-based multi-point statistics simulation code. Parallel Comput. 40 (5-6) (2014)
Fermín Sánchez, Joan Climent, Julita Corbalán, Pau Fonseca, Jordi Garcia Almiñana, José R. Herrero, Xavier Llinas, Horacio Rodríguez, Maria-Ribera Sancho, Marc Alier, Jose Cabré, David López
Evaluation and assessment of professional skills in the Final Year Project. FIE (2014)
Fred G. Gustavson, José R. Herrero, Enric Morancho
A Square Block Format for Symmetric Band Matrices. PPAM (1) (2013)
Margarita Amor, Ramon Doallo, Basilio B. Fraguela, José R. Herrero, Enrique S. Quintana-Ortí, Robert Strzodka
Graphics processing unit computing and exploitation of hardware accelerators. Concurr. Comput. Pract. Exp. 25 (8) (2013)
Fred G. Gustavson, Jerzy Wasniewski, Jack J. Dongarra, José R. Herrero, Julien Langou
Level-3 Cholesky Factorization Routines Improve Performance of Many Cholesky Algorithms. ACM Trans. Math. Softw. 39 (2) (2013)
Miquel Grau-Sánchez, Miquel Noguera, Àngela Grau, José R. Herrero
On new computational local orders of convergence. Appl. Math. Lett. 25 (12) (2012)
José R. Herrero, Enrique S. Quintana-Ortí, Robert Strzodka
Special Issue: GPU computing. Concurr. Comput. Pract. Exp. 23 (7) (2011)
Fred G. Gustavson, Jerzy Wasniewski, José R. Herrero
New Level-3 BLAS Kernels for Cholesky Factorization. PPAM (1) (2011)
Rosa M. Badia, José R. Herrero, Jesús Labarta, Josep M. Pérez, Enrique S. Quintana-Ortí, Gregorio Quintana-Ortí
Parallelizing dense and banded linear algebra libraries using SMPSs. Concurr. Comput. Pract. Exp. 21 (18) (2009)
José R. Herrero, Juan J. Navarro
Hypermatrix oriented supernode amalgamation. J. Supercomput. 46 (1) (2008)
José R. Herrero
New Data Structures for Matrices and Specialized Inner Kernels: Low Overhead for High Performance. PPAM (2007)
José R. Herrero, Juan J. Navarro
Analysis of a sparse hypermatrix Cholesky with fixed-sized blocking. Appl. Algebra Eng. Commun. Comput. 18 (3) (2007)
José R. Herrero, Juan J. Navarro
Exploiting computer resources for fast nearest neighbor classification. Pattern Anal. Appl. 10 (4) (2007)
José R. Herrero, Juan J. Navarro
Using Non-canonical Array Layouts in Dense Matrix Operations. PARA (2006)
José R. Herrero, Juan J. Navarro
Sparse Hypermatrix Cholesky: Customization for High Performance. IMECS (2006)
José R. Herrero, Juan J. Navarro
Compiler-Optimized Kernels: An Efficient Alternative to Hand-Coded Inner Kernels. ICCSA (5) (2006)
José R. Herrero, Juan J. Navarro
Efficient Implementation of Nearest Neighbor Classification. CORES (2005)
José R. Herrero, Juan J. Navarro
A Study on Load Imbalance in Parallel Hypermatrix Multiplication Using OpenMP. PPAM (2005)
José R. Herrero, Juan J. Navarro
Adapting Linear Algebra Codes to the Memory Hierarchy Using a Hypermatrix Scheme. PPAM (2005)
José R. Herrero, Juan J. Navarro
Optimization of a Statically Partitioned Hypermatrix Sparse Cholesky Factorization. PARA (2004)
José R. Herrero, David Benlliure
Operating System Support for Process Confinement. Security and Management (2003)
José R. Herrero, Juan J. Navarro
Building Software Via Shared Knowledge. Software Engineering Research and Practice (2003)
José R. Herrero, Juan J. Navarro
Automatic Benchmarking and Optimization of Codes: An Experience with Numerical Kernels. Software Engineering Research and Practice (2003)
José R. Herrero, Juan J. Navarro
Improving Performance of Hypermatrix Cholesky Factorization. Euro-Par (2003)
Juan J. Navarro, Elena García-Diego, José R. Herrero
Data Prefetching and Multilevel Blocking for Linear Algebra Operations. International Conference on Supercomputing (1996)