Enrique S. Quintana-Ortí

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 168

Top Venues

CoRR

J. Supercomput.

Concurr. Comput. Pract. Exp.

Parallel Comput.

Publications

Cristián Ramírez, Adrián Castelló, Héctor Martínez, Enrique S. Quintana-Ortí
Parallel GEMM-based convolution for deep learning on multicore RISC-V processors. J. Supercomput. 80 (9) (2024)
Rafael Rodríguez-Sánchez, Adrián Castelló, Sandra Catalán, Francisco D. Igual, Enrique S. Quintana-Ortí
Experiences with nested parallelism in task-parallel applications using malleable BLAS on multicore processors. Int. J. High Perform. Comput. Appl. 38 (2) (2024)
Guillermo Alaejos, Adrián Castelló, Pedro Alonso-Jordá, Francisco D. Igual, Héctor Martínez, Enrique S. Quintana-Ortí
Algorithm 1039: Automatic Generators for a Family of Matrix Multiplication Routines with Apache TVM. ACM Trans. Math. Softw. 50 (1) (2024)
Cristián Ramírez, Adrián Castelló, Héctor Martínez, Enrique S. Quintana-Ortí
Performance Analysis of Matrix Multiplication for Deep Learning on the Edge. CoRR (2024)
Jie Lei, Enrique S. Quintana-Ortí
Mapping Parallel Matrix Multiplication in GotoBLAS2 to the AMD Versal ACAP for Deep Learning. CoRR (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)
Andrés E. Tomás, Enrique S. Quintana-Ortí, Hartwig Anzt
Fast Truncated SVD of Sparse and Dense Matrices on Graphics Processors. CoRR (2024)
Héctor Martínez, Sandra Catalán, Adrián Castelló, Enrique S. Quintana-Ortí
Parallel GEMM-based convolutions for deep learning on multicore ARM and RISC-V architectures. J. Syst. Archit. 153 (2024)
Roberto Díaz-Cano Lozano, Francesc Folch, Pedro Alonso-Jordá, Enrique S. Quintana-Ortí
Acceleration of the Pre-processing Stage of the MVS Workflow using Graphics Processors. PMAM@PPoPP (2024)
Antoine Grenier, Jie Lei, Hans Jakob Damsgaard, Enrique S. Quintana-Ortí, Aleksandr Ometov, Elena Simona Lohan, Jari Nurmi
Hard SyDR: A Benchmarking Environment for Global Navigation Satellite System Algorithms. Sensors 24 (2) (2024)
Guillermo Alaejos, Adrián Castelló, Héctor Martínez, Pedro Alonso-Jordá, Francisco D. Igual, Enrique S. Quintana-Ortí
Micro-kernels for portable and efficient matrix multiplication in deep learning. J. Supercomput. 79 (7) (2023)
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)
Antoine Grenier, Hans Jakob Damsgaard, Jie Lei, Enrique S. Quintana-Ortí, Aleksandr Ometov, Elena Simona Lohan, Jari Nurmi
Towards Benchmarking GNSS Algorithms on FPGA using SyDR. ICL-GNSS (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)
José Ignacio Aliaga, Hartwig Anzt, Enrique S. Quintana-Ortí, Andrés E. Tomás
Sparse matrix-vector and matrix-multivector products for the truncated SVD on graphics processors. Concurr. Comput. Pract. Exp. 35 (28) (2023)
Jie Lei, José Flich, Enrique S. Quintana-Ortí
Toward Matrix Multiplication for Deep Learning Inference on the Xilinx Versal. PDP (2023)
Andrés E. Tomás, Enrique S. Quintana-Ortí, Hartwig Anzt
Fast truncated SVD of sparse and dense matrices on graphics processors. Int. J. High Perform. Comput. Appl. 37 (3-4) (2023)
Sandra Catalán, José R. Herrero, Francisco D. Igual, Enrique S. Quintana-Ortí, Rafael Rodríguez-Sánchez
Fine-grain task-parallel algorithms for matrix factorizations and inversion on many-threaded CPUs. Concurr. Comput. Pract. Exp. 35 (27) (2023)
Jie Lei, José Flich, Enrique S. Quintana-Ortí
Toward matrix multiplication for deep learning inference on the Xilinx Versal. CoRR (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 Ignacio Aliaga, Hartwig Anzt, Thomas Grützmacher, Enrique S. Quintana-Ortí, Andrés E. Tomás
Compressed basis GMRES on high-performance graphics processing units. Int. J. High Perform. Comput. Appl. 37 (2) (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)
Guillermo Alaejos, Adrián Castelló, Pedro Alonso-Jordá, Francisco D. Igual, Héctor Martínez, Enrique S. Quintana-Ortí
Automatic Generators for a Family of Matrix Multiplication Routines with Apache TVM. CoRR (2023)
Francisco D. Igual, Luis Piñuel, Sandra Catalán, Héctor Martínez, Adrián Castelló, Enrique S. Quintana-Ortí
Automatic Generation of Micro-kernels for Performance Portability of Matrix Multiplication on RISC-V Vector Processors. SC Workshops (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)
Jie Lei, Héctor Martínez, José Flich, Enrique S. Quintana-Ortí
GEMM-Like Convolution for Deep Learning Inference on the Xilinx Versal. ISC Workshops (2023)
Andrés E. Tomás, Enrique S. Quintana-Ortí
Tall-and-Skinny QR Factorization for Clusters of GPUs Using High-Performance Building Blocks. Euro-Par Workshops (1) (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)
Thomas Grützmacher, Hartwig Anzt, Enrique S. Quintana-Ortí
Using Ginkgo's memory accessor for improving the accuracy of memory-bound low precision BLAS. Softw. Pract. Exp. 53 (1) (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)
Pedro Alonso-Jordá, Héctor Martínez, Enrique S. Quintana-Ortí, Cristián Ramírez
Performance Analysis of Convolution Algorithms for Deep Learning on Edge Processors. PPAM (2) (2022)
Jorge Ejarque, Rosa M. Badia, Loïc Albertin, Giovanni Aloisio, Enrico Baglione, Yolanda Becerra, Stefan Boschert, Julian R. Berlin, Alessandro D'Anca, Donatello Elia, François Exertier, Sandro Fiore, José Flich, Arnau Folch, Steven J. Gibbons, Nikolay Koldunov, Francesc Lordan, Stefano Lorito, Finn Løvholt, Jorge Macías Sánchez, Fabrizio Marozzo, Alberto Michelini, Marisol Monterrubio Velasco, Marta Pienkowska, Josep de la Puente, Anna Queralt, Enrique S. Quintana-Ortí, Juan Esteban Rodriguez, Fabrizio Romano, Riccardo Rossi, Jedrzej Rybicki, Miroslaw Kupczyk, Jacopo Selva, Domenico Talia, Roberto Tonini, Paolo Trunfio, Manuela Volpe
Enabling dynamic and intelligent workflows for HPC, data analytics, and AI convergence. Future Gener. Comput. Syst. 134 (2022)
Jorge Ejarque, Rosa M. Badia, Loïc Albertin, Giovanni Aloisio, Enrico Baglione, Yolanda Becerra, Stefan Boschert, Julian R. Berlin, Alessandro D'Anca, Donatello Elia, François Exertier, Sandro Fiore, José Flich, Arnau Folch, Steven J. Gibbons, Nikolay Koldunov, Francesc Lordan, Stefano Lorito, Finn Løvholt, Jorge Macías Sánchez, Fabrizio Marozzo, Alberto Michelini, Marisol Monterrubio Velasco, Marta Pienkowska, Josep de la Puente, Anna Queralt, Enrique S. Quintana-Ortí, Juan Esteban Rodriguez, Fabrizio Romano, Riccardo Rossi, Jedrzej Rybicki, Miroslaw Kupczyk, Jacopo Selva, Domenico Talia, Roberto Tonini, Paolo Trunfio, Manuela Volpe
Enabling Dynamic and Intelligent Workflows for HPC, Data Analytics, and AI Convergence. CoRR (2022)
Adrián Castelló, Enrique S. Quintana-Ortí, Francisco D. Igual
Anatomy of the BLIS Family of Algorithms for Matrix Multiplication. PDP (2022)
Sergio Iserte, Aina Macías, Raúl Martínez-Cuenca, Sergio Chiva, Roberto Paredes, Enrique S. Quintana-Ortí
Accelerating urban scale simulations leveraging local spatial 3D structure. J. Comput. Sci. 62 (2022)
José Ignacio Aliaga, Hartwig Anzt, Thomas Grützmacher, Enrique S. Quintana-Ortí, Andrés E. Tomás
Compression and load balancing for efficient sparse matrix-vector product on multicore processors and graphics processing units. Concurr. Comput. Pract. Exp. 34 (14) (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)
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)
Cristián Ramírez, Adrián Castelló, Enrique S. Quintana-Ortí
A BLIS-like matrix multiplication for machine learning in the RISC-V ISA-based GAP8 processor. J. Supercomput. 78 (16) (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)
Adrián Castelló, Sandra Catalán, Francisco D. Igual, Enrique S. Quintana-Ortí, Rafael Rodríguez-Sánchez
QR Factorization Using Malleable BLAS on Multicore Processors. ISC Workshops (2022)
Cristián Ramírez, Adrián Castelló, Héctor Martínez, Enrique S. Quintana-Ortí
Performance Analysis of Matrix Multiplication for Deep Learning on the Edge. ISC Workshops (2022)
Hartwig Anzt, Terry Cojean, Goran Flegar, Fritz Göbel, Thomas Grützmacher, Pratik Nayak, Tobias Ribizel, Yuhsiang Mike Tsai, Enrique S. Quintana-Ortí
Ginkgo: A Modern Linear Operator Algebra Framework for High Performance Computing. ACM Trans. Math. Softw. 48 (1) (2022)
Manuel F. Dolz, Adrián Castelló, Enrique S. Quintana-Ortí
Towards Portable Realizations of Winograd-based Convolution with Vector Intrinsics and OpenMP. PDP (2022)
Emmanuel Agullo, Mirco Altenbernd, Hartwig Anzt, Leonardo Bautista-Gomez, Tommaso Benacchio, Luca Bonaventura, Hans-Joachim Bungartz, Sanjay Chatterjee, Florina M. Ciorba, Nathan DeBardeleben, Daniel Drzisga, Sebastian Eibl, Christian Engelmann, Wilfried N. Gansterer, Luc Giraud, Dominik Göddeke, Marco Heisig, Fabienne Jézéquel, Nils Kohl, Xiaoye Sherry Li, Romain Lion, Miriam Mehl, Paul Mycek, Michael Obersteiner, Enrique S. Quintana-Ortí, Francesco Rizzi, Ulrich Rüde, Martin Schulz, Fred Fung, Robert Speck, Linda Stals, Keita Teranishi, Samuel Thibault, Dominik Thönnes, Andreas Wagner, Barbara I. Wohlmuth
Resiliency in numerical algorithm design for extreme scale simulations. Int. J. High Perform. Comput. Appl. 36 (2) (2022)
Sergio Iserte, Rafael Mayo, Enrique S. Quintana-Ortí, Antonio J. Peña
DMRlib: Easy-Coding and Efficient Resource Management for Job Malleability. IEEE Trans. Computers 70 (9) (2021)
Peter Benner, Enrique S. Quintana-Ortí, Jens Saak
Introduction to the Special Issue related to the Power-Aware Computing Workshop 2019 - PACO 2019. Int. J. High Perform. Comput. Appl. 35 (3) (2021)
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)
Peter Benner, Ernesto Dufrechou, Pablo Ezzatti, Rodrigo Gallardo, Enrique S. Quintana-Ortí
Factorized solution of generalized stable Sylvester equations using many-core GPU accelerators. J. Supercomput. 77 (9) (2021)
Adrián Castelló, Enrique S. Quintana-Ortí, José Duato
Accelerating distributed deep neural network training with pipelined MPI allreduce. Clust. Comput. 24 (4) (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)
Jose A. Belloch, José M. Badía, Diego Francisco Larios Marín, Enrique Personal, Miguel Ferrer, Laura Fuster, Mihaita Lupoiu, Alberto Gonzalez, Carlos León, Antonio M. Vidal, Enrique S. Quintana-Ortí
On the performance of a GPU-based SoC in a distributed spatial audio system. J. Supercomput. 77 (7) (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)
Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí
Selecting optimal SpMV realizations for GPUs via machine learning. 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)
Pau San Juan, Pedro Alonso-Jordá, Enrique S. Quintana-Ortí
High Performance and Energy Efficient Integer Matrix Multiplication for Deep Learning. PDP (2021)
Sandra Catalán, Francisco D. Igual, Rafael Rodríguez-Sánchez, Enrique S. Quintana-Ortí
Scalable Hybrid Loop- and Task-Parallel Matrix Inversion for Multicore Processors. IPDPS Workshops (2021)
Goran Flegar, Hartwig Anzt, Terry Cojean, Enrique S. Quintana-Ortí
Adaptive Precision Block-Jacobi for High Performance Preconditioning in the Ginkgo Linear Algebra Software. ACM Trans. Math. Softw. 47 (2) (2021)
Pablo San Juan, Rafael Rodríguez-Sánchez, Francisco D. Igual, Pedro Alonso-Jordá, Enrique S. Quintana-Ortí
Low precision matrix multiplication for efficient deep learning in NVIDIA Carmel processors. J. Supercomput. 77 (10) (2021)
Ernesto Dufrechou, Pablo Ezzatti, Manuel Freire, Enrique S. Quintana-Ortí
Machine learning for optimal selection of sparse triangular system solvers on GPUs. J. Parallel Distributed Comput. 158 (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)
Sergio Iserte, Rafael Mayo, Enrique S. Quintana-Ortí, Vicenç Beltran, Antonio J. Peña
DMR API: Improving cluster productivity by turning applications into malleable. CoRR (2020)
Emmanuel Agullo, Mirco Altenbernd, Hartwig Anzt, Leonardo Bautista-Gomez, Tommaso Benacchio, Luca Bonaventura, Hans-Joachim Bungartz, Sanjay Chatterjee, Florina M. Ciorba, Nathan DeBardeleben, Daniel Drzisga, Sebastian Eibl, Christian Engelmann, Wilfried N. Gansterer, Luc Giraud, Dominik Göddeke, Marco Heisig, Fabienne Jézéquel, Nils Kohl, Xiaoye Sherry Li, Romain Lion, Miriam Mehl, Paul Mycek, Michael Obersteiner, Enrique S. Quintana-Ortí, Francesco Rizzi, Ulrich Rüde, Martin Schulz, Fred Fung, Robert Speck, Linda Stals, Keita Teranishi, Samuel Thibault, Dominik Thönnes, Andreas Wagner, Barbara I. Wohlmuth
Resiliency in Numerical Algorithm Design for Extreme Scale Simulations. CoRR (2020)
Sandra Catalán, Adrián Castelló, Francisco D. Igual, Rafael Rodríguez-Sánchez, Enrique S. Quintana-Ortí
Programming parallel dense matrix factorizations with look-ahead and OpenMP. Clust. Comput. 23 (1) (2020)
José Ignacio Aliaga, Hartwig Anzt, Enrique S. Quintana-Ortí, Andrés E. Tomás, Yuhsiang M. Tsai
Balanced and Compressed Coordinate Layout for the Sparse Matrix-Vector Product on GPUs. Euro-Par Workshops (2020)
Hartwig Anzt, Terry Cojean, Goran Flegar, Fritz Göbel, Thomas Grützmacher, Pratik Nayak, Tobias Ribizel, Yu-Hsiang Tsai, Enrique S. Quintana-Ortí
Ginkgo: A Modern Linear Operator Algebra Framework for High Performance Computing. CoRR (2020)
Rocío Carratalá-Sáez, Mathieu Faverge, Grégoire Pichon, Guillaume Sylvand, Enrique S. Quintana-Ortí
Tiled Algorithms for Efficient Task-Parallel ℌ-Matrix Solvers. IPDPS Workshops (2020)
Andrés E. Tomás, Enrique S. Quintana-Ortí
Tall-and-skinny QR factorization with approximate Householder reflectors on graphics processors. J. Supercomput. 76 (11) (2020)
Fritz Göbel, Hartwig Anzt, Terry Cojean, Goran Flegar, Enrique S. Quintana-Ortí
Multiprecision Block-Jacobi for Iterative Triangular Solves. Euro-Par (2020)
Adrián Castelló, Rafael Mayo Gual, Sangmin Seo, Pavan Balaji, Enrique S. Quintana-Ortí, Antonio J. Peña
Analysis of Threading Libraries for High Performance Computing. IEEE Trans. Computers 69 (9) (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)
Rafael Rodríguez-Sánchez, Francisco D. Igual, Enrique S. Quintana-Ortí
Integration and exploitation of intra-routine malleability in BLIS. J. Supercomput. 76 (4) (2020)
Roman Iakymchuk, Maria Barreda Vayá, Stef Graillat, José Ignacio Aliaga, Enrique S. Quintana-Ortí
Reproducibility of parallel preconditioned conjugate gradient in hybrid programming environments. Int. J. High Perform. Comput. Appl. 34 (5) (2020)
José Ignacio Aliaga, Hartwig Anzt, Thomas Grützmacher, Enrique S. Quintana-Ortí, Andrés E. Tomás
Compressed Basis GMRES on High Performance GPUs. CoRR (2020)
Roman Iakymchuk, Maria Barreda, Matthias Wiesenberger, José Ignacio Aliaga, Enrique S. Quintana-Ortí
Reproducibility strategies for parallel Preconditioned Conjugate Gradient. J. Comput. Appl. Math. 371 (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)
Thomas Grützmacher, Terry Cojean, Goran Flegar, Hartwig Anzt, Enrique S. Quintana-Ortí
Acceleration of PageRank with Customized Precision Based on Mantissa Segmentation. ACM Trans. Parallel Comput. 7 (1) (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)
Roman Iakymchuk, Maria Barreda, Stef Graillat, José Ignacio Aliaga, Enrique S. Quintana-Ortí
Reproducibility of Parallel Preconditioned Conjugate Gradient in Hybrid Programming Environments. CoRR (2020)
Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí
Automatic Selection of Sparse Triangular Linear System Solvers on GPUs through Machine Learning Techniques. SBAC-PAD (2019)
Rocío Carratalá-Sáez, Sven Christophersen, José Ignacio Aliaga, Vicenç Beltran, Steffen Börm, Enrique S. Quintana-Ortí
Exploiting nested task-parallelism in the H-LU factorization. CoRR (2019)
Germán León, Carlos González, Rafael Mayo, Daniel Mozos, Enrique S. Quintana-Ortí
Noise estimation for hyperspectral subspace identification on FPGAs. J. Supercomput. 75 (3) (2019)
Goran Flegar, Florian Scheidegger, Vedran Novakovic, Giovanni Mariani, Andrés E. Tomás, A. Cristiano I. Malossi, Enrique S. Quintana-Ortí
FloatX: A C++ Library for Customized Floating-Point Arithmetic. ACM Trans. Math. Softw. 45 (4) (2019)
Adrián Castelló, Manuel F. Dolz, Enrique S. Quintana-Ortí, José Duato
Analysis of model parallelism for distributed neural networks. EuroMPI (2019)
Hartwig Anzt, Jack J. Dongarra, Goran Flegar, Nicholas J. Higham, Enrique S. Quintana-Ortí
Adaptive precision in block-Jacobi preconditioning for iterative sparse linear system solvers. Concurr. Comput. Pract. Exp. 31 (6) (2019)
José Ignacio Aliaga, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí
Accelerating the task/data-parallel version of ILUPACK's BiCG in multi-CPU/GPU configurations. Parallel Comput. 85 (2019)
Davor Davidovic, Enrique S. Quintana-Ortí
Structure-Aware Calculation of Many-Electron Wave Function Overlaps on Multicore Processors. PPAM (1) (2019)
Pablo Ezzatti, Enrique S. Quintana-Ortí, Alfredo Remón, Jens Saak
Power-aware computing. Concurr. Comput. Pract. Exp. 31 (6) (2019)
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)
Hartwig Anzt, Goran Flegar, Thomas Grützmacher, Enrique S. Quintana-Ortí
Toward a modular precision ecosystem for high-performance computing. Int. J. High Perform. Comput. Appl. 33 (6) (2019)
Rocío Carratalá-Sáez, Sven Christophersen, José Ignacio Aliaga, Vicenç Beltran, Steffen Börm, Enrique S. Quintana-Ortí
Exploiting nested task-parallelism in the H-LU factorization. J. Comput. Sci. 33 (2019)
Hartwig Anzt, Jack J. Dongarra, Goran Flegar, Enrique S. Quintana-Ortí
Variable-size batched Gauss-Jordan elimination for block-Jacobi preconditioning on graphics processors. Parallel Comput. 81 (2019)
Andrés E. Tomás, Rafael Rodríguez-Sánchez, Sandra Catalán, Rocío Carratalá-Sáez, Enrique S. Quintana-Ortí
Dynamic look-ahead in the reduction to band form for the singular value decomposition. Parallel Comput. 81 (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)
José Ignacio Aliaga, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí
An efficient GPU version of the preconditioned GMRES method. J. Supercomput. 75 (3) (2019)
Hartwig Anzt, Jack J. Dongarra, Enrique S. Quintana-Ortí
Fine-grained bit-flip protection for relaxation methods. J. Comput. Sci. 36 (2019)
Andrés E. Tomás, Enrique S. Quintana-Ortí
Cholesky and Gram-Schmidt Orthogonalization for Tall-and-Skinny QR Factorizations on Graphics Processors. Euro-Par (2019)
Rocío Carratalá-Sáez, Sven Christophersen, José Ignacio Aliaga, Vicenç Beltran, Steffen Börm, Enrique S. Quintana-Ortí
Erratum to "Exploiting nested task-parallelism in theH-LU factorization" [J. Comput. Sci. 33 (2019) 20-33]. J. Comput. Sci. 35 (2019)
Fran J. Alventosa, Pedro Alonso, Antonio M. Vidal, Gema Piñero, Enrique S. Quintana-Ortí
Fast block QR update in digital signal processing. J. Supercomput. 75 (3) (2019)
Roman Iakymchuk, Stef Graillat, David Defour, Enrique S. Quintana-Ortí
Hierarchical approach for deriving a reproducible unblocked LU factorization. Int. J. High Perform. Comput. Appl. 33 (5) (2019)

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Publication Activity (10 Years)

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Enrique S. Quintana-Ortí