Data Prefetching and Multilevel Blocking for Linear Algebra Operations. - Juan J. Navarro; Elena García-Diego; José R. Herrero 001 (International Conference on Supercomputing, 1996)

Operating System Support for Process Confinement. - José R. Herrero 001; David Benlliure (Security and Management, 2003)

Improving Performance of Hypermatrix Cholesky Factorization. - José R. Herrero 001; Juan J. Navarro (Euro-Par, 2003)

Automatic Benchmarking and Optimization of Codes: An Experience with Numerical Kernels. - José R. Herrero 001; Juan J. Navarro (Software Engineering Research and Practice, 2003)

Building Software Via Shared Knowledge. - José R. Herrero 001; Juan J. Navarro (Software Engineering Research and Practice, 2003)

Optimization of a Statically Partitioned Hypermatrix Sparse Cholesky Factorization. - José R. Herrero 001; Juan J. Navarro (PARA, 2004)

Efficient Implementation of Nearest Neighbor Classification. - José R. Herrero 001; Juan J. Navarro (CORES, 2005)

A Study on Load Imbalance in Parallel Hypermatrix Multiplication Using OpenMP. - José R. Herrero 001; Juan J. Navarro (PPAM, 2005)

Adapting Linear Algebra Codes to the Memory Hierarchy Using a Hypermatrix Scheme. - José R. Herrero 001; Juan J. Navarro (PPAM, 2005)

Compiler-Optimized Kernels: An Efficient Alternative to Hand-Coded Inner Kernels. - José R. Herrero 001; Juan J. Navarro (ICCSA (5), 2006)

Sparse Hypermatrix Cholesky: Customization for High Performance. - José R. Herrero 001; Juan J. Navarro (IMECS, 2006)

Using Non-canonical Array Layouts in Dense Matrix Operations. - José R. Herrero 001; Juan J. Navarro (PARA, 2006)

A framework for efficient execution of matrix computations. - Jose Ramón Herrero Zaragoza (2006)

New Data Structures for Matrices and Specialized Inner Kernels: Low Overhead for High Performance. - José R. Herrero 001 (PPAM, 2007)

Analysis of a sparse hypermatrix Cholesky with fixed-sized blocking. - José R. Herrero 001; Juan J. Navarro (Appl. Algebra Eng. Commun. Comput., 2007)

Exploiting computer resources for fast nearest neighbor classification. - José R. Herrero 001; Juan J. Navarro (Pattern Anal. Appl., 2007)

Hypermatrix oriented supernode amalgamation. - José R. Herrero 001; Juan J. Navarro (J. Supercomput., 2008)

Parallelizing dense and banded linear algebra libraries using SMPSs. - Rosa M. Badia; José R. Herrero 001; Jesús Labarta; Josep M. Pérez; Enrique S. Quintana-Ortí; Gregorio Quintana-Ortí (Concurr. Comput. Pract. Exp., 2009)

New Level-3 BLAS Kernels for Cholesky Factorization. - Fred G. Gustavson; Jerzy Wasniewski; José R. Herrero 001 (PPAM (1), 2011)

Special Issue: GPU computing. - José R. Herrero 001; Enrique S. Quintana-Ortí; Robert Strzodka (Concurr. Comput. Pract. Exp., 2011)

On new computational local orders of convergence. - Miquel Grau-Sánchez; Miquel Noguera; Àngela Grau; José R. Herrero 001 (Appl. Math. Lett., 2012)

A Square Block Format for Symmetric Band Matrices. - Fred G. Gustavson; José R. Herrero 001; Enric Morancho (PPAM (1), 2013)

Graphics processing unit computing and exploitation of hardware accelerators. - Margarita Amor; Ramon Doallo; Basilio B. Fraguela; José R. Herrero 001; Enrique S. Quintana-Ortí; Robert Strzodka (Concurr. Comput. Pract. Exp., 2013)

Level-3 Cholesky Factorization Routines Improve Performance of Many Cholesky Algorithms. - Fred G. Gustavson; Jerzy Wasniewski; Jack J. Dongarra; José R. Herrero 001; Julien Langou (ACM Trans. Math. Softw., 2013)

Evaluation and assessment of professional skills in the Final Year Project. - Fermín Sánchez; Joan Climent; Julita Corbalán; Pau Fonseca; Jordi García 001; José R. Herrero 001; Xavier Llinas; Horacio Rodríguez; Maria-Ribera Sancho; Marc Alier; Jose Cabré; David López 001 (FIE, 2014)

Tuning and hybrid parallelization of a genetic-based multi-point statistics simulation code. - Oscar Peredo; Julián M. Ortiz; José R. Herrero 001; Cristóbal Samaniego (Parallel Comput., 2014)

Tareador: a tool to unveil parallelization strategies at undergraduate level. - Eduard Ayguadé; Rosa M. Badia; Daniel Jiménez-González; José R. Herrero 001; Jesús Labarta; Vladimir Subotic; Gladys Utrera (WCAE, 2015)

Parallel computing on graphics processing units and heterogeneous platforms. - Paolo Bientinesi; José R. Herrero 001; Enrique S. Quintana-Ortí; Robert Strzodka (Concurr. Comput. Pract. Exp., 2015)

Multi-Threaded Dense Linear Algebra Libraries for Low-Power Asymmetric Multicore Processors. - Sandra Catalán; José R. Herrero 001; Francisco D. Igual; Rafael Rodríguez-Sánchez 001; Enrique S. Quintana-Ortí (CoRR, 2015)

Acceleration of the Geostatistical Software Library (GSLIB) by code optimization and hybrid parallel programming. - Oscar Peredo; Julián M. Ortiz; José R. Herrero 001 (Comput. Geosci., 2015)

Echo State Hoeffding Tree Learning. - Diego Marron; Jesse Read; Albert Bifet; Talel Abdessalem; Eduard Ayguadé; José R. Herrero 001 (ACML, 2016)

Low-latency multi-threaded ensemble learning for dynamic big data streams. - Diego Marron; Eduard Ayguadé; José R. Herrero 001; Jesse Read; Albert Bifet (IEEE BigData, 2017)

Static Versus Dynamic Task Scheduling of the Lu Factorization on ARM big. LITTLE Architectures. - Sandra Catalán; Rafael Rodríguez-Sánchez 001; Enrique S. Quintana-Ortí; José R. Herrero 001 (IPDPS Workshops, 2017)

Reduction to Tridiagonal Form for Symmetric Eigenproblems on Asymmetric Multicore Processors. - Pedro Alonso 002; Sandra Catalán; José R. Herrero 001; Enrique S. Quintana-Ortí; Rafael Rodríguez-Sánchez 001 (PMAM@PPoPP, 2017)

Two-Sided Reduction to Compact Band Forms with Look-Ahead. - Rafael Rodríguez-Sánchez 001; Sandra Catalán; José R. Herrero 001; Enrique S. Quintana-Ortí; Andrés E. Tomás (CoRR, 2017)

A path-level exact parallelization strategy for sequential simulation. - Oscar Peredo; Daniel Baeza; Julián M. Ortiz; José R. Herrero 001 (Comput. Geosci., 2018)

Multi-threaded dense linear algebra libraries for low-power asymmetric multicore processors. - Sandra Catalán; José R. Herrero 001; Francisco D. Igual; Rafael Rodríguez-Sánchez 001; Enrique S. Quintana-Ortí; Chris Adeniyi-Jones (J. Comput. Sci., 2018)

Two-sided orthogonal reductions to condensed forms on asymmetric multicore processors. - Pedro Alonso 002; Sandra Catalán; José R. Herrero 001; Enrique S. Quintana-Ortí; Rafael Rodríguez-Sánchez 001 (Parallel Comput., 2018)

Energy balance between voltage-frequency scaling and resilience for linear algebra routines on low-power multicore architectures. - Sandra Catalán; José R. Herrero 001; Enrique S. Quintana-Ortí; Rafael Rodríguez-Sánchez 001 (Parallel Comput., 2018)

Static scheduling of the LU factorization with look-ahead on asymmetric multicore processors. - Sandra Catalán; José R. Herrero 001; Enrique S. Quintana-Ortí; Rafael Rodríguez-Sánchez 001 (Parallel Comput., 2018)

A Case for Malleable Thread-Level Linear Algebra Libraries: The LU Factorization With Partial Pivoting. - Sandra Catalán; José R. Herrero 001; Enrique S. Quintana-Ortí; Rafael Rodríguez-Sánchez 001; Robert A. van de Geijn (IEEE Access, 2019)

Resource-aware Elastic Swap Random Forest for Evolving Data Streams. - Diego Marrón; Eduard Ayguadé; José Ramon Herrero 001; Albert Bifet (CoRR, 2019)

Look-ahead in the two-sided reduction to compact band forms for symmetric eigenvalue problems and the SVD. - Rafael Rodríguez-Sánchez 001; Sandra Catalán; José R. Herrero 001; Enrique S. Quintana-Ortí; Andrés E. Tomás (Numer. Algorithms, 2019)

A highly parallel algorithm for computing the action of a matrix exponential on a vector based on a multilevel Monte Carlo method. - Juan A. Acebrón; José R. Herrero 001; José Monteiro 001 (Comput. Math. Appl., 2020)

A New Generation of Task-Parallel Algorithms for Matrix Inversion in Many-Threaded CPUs. - Sandra Catalán; Francisco D. Igual; Rafael Rodríguez-Sánchez 001; José R. Herrero 001; Enrique S. Quintana-Ortí (PMAM@PPoPP, 2021)

Efficient update of determinants for many-electron wave function overlaps. - Pedro Alonso-Jordá; Davor Davidovic; Marin Sapunar; José R. Herrero 001; Enrique S. Quintana-Ortí (Comput. Phys. Commun., 2021)

NUMA-Aware Dense Matrix Factorizations and Inversion with Look-Ahead on Multicore Processors. - Sandra Catalán; Francisco D. Igual; Rafael Rodríguez-Sánchez 001; José R. Herrero 001; Enrique S. Quintana-Ortí (SBAC-PAD, 2022)

A distributed Monte Carlo based linear algebra solver applied to the analysis of large complex networks. - Filipe Magalhães; José Monteiro 001; Juan A. Acebrón; José R. Herrero 001 (Future Gener. Comput. Syst., 2022)

Acceleration strategies for large-scale sequential simulations using parallel neighbour search: Non-LVA and LVA scenarios. - Oscar F. Peredo; José R. Herrero 001 (Comput. Geosci., 2022)

Fine-grain task-parallel algorithms for matrix factorizations and inversion on many-threaded CPUs. - Sandra Catalán; José R. Herrero 001; Francisco D. Igual; Enrique S. Quintana-Ortí; Rafael Rodríguez-Sánchez 001 (Concurr. Comput. Pract. Exp., 2023)

Co-Design of the Dense Linear AlgebravSoftware Stack for Multicore Processors. - Héctor Martínez 002; Sandra Catalán; Francisco D. Igual; José R. Herrero 001; Rafael Rodríguez-Sánchez 001; Enrique S. Quintana-Ortí (CoRR, 2023)

Programming parallel dense matrix factorizations and inversion for new-generation NUMA architectures. - Sandra Catalán; Francisco D. Igual; José R. Herrero 001; Rafael Rodríguez-Sánchez 001; Enrique S. Quintana-Ortí (J. Parallel Distributed Comput., 2023)

Mixed-precision pre-pivoting strategy for the LU factorization. - Nima Sahraneshinsamani; Sandra Catalán; José R. Herrero 001 (J. Supercomput., 2025)