Accelerating radiative heat transfer calculations on modern hardware. - Ernesto Dufrechu; Federico Favre; Martín Pedemonte; Pedro Curto; Pablo Ezzatti (CLEI, 2012)

Accelerating the Lyapack library using GPUs. - Ernesto Dufrechu; Pablo Ezzatti; Enrique S. Quintana-Ortí; Alfredo Remón (J. Supercomput., 2013)

Efficient Symmetric Band Matrix-Matrix Multiplication on GPUs. - Ernesto Dufrechou; Pablo Ezzatti; Enrique S. Quintana-Ortí; Alfredo Remón (CARLA, 2014)

Accelerating the general band matrix multiplication using graphics processors. - Peter Benner; Alfredo Remón; Ernesto Dufrechou; Pablo Ezzatti; Enrique S. Quintana-Ortí (CLEI, 2014)

Accelerating Band Linear Algebra Operations on GPUs with Application in Model Reduction. - Peter Benner; Ernesto Dufrechou; Pablo Ezzatti; Pablo Igounet; Enrique S. Quintana-Ortí; Alfredo Remón (ICCSA (6), 2014)

Leveraging Data-Parallelism in ILUPACK using Graphics Processors. - José Ignacio Aliaga; Matthias Bollhöfer; Ernesto Dufrechou; Pablo Ezzatti; Enrique S. Quintana-Ortí (ISPDC, 2014)

Another step to the full GPU implementation of the weather research and forecasting model. - Juan Pablo Silva; José Hagopian; Marcel Burdiat; Ernesto Dufrechou; Martín Pedemonte; Alejandro Gutiérrez Arce; Gabriel Cazes; Pablo Ezzatti (J. Supercomput., 2014)

Solving Linear Systems on the Intel Xeon-Phi Accelerator via the Gauss-Huard Algorithm. - Ernesto Dufrechou; Pablo Ezzatti; Enrique S. Quintana-Ortí; Alfredo Remón (CARLA, 2015)

Solving dense linear systems with hybrid ARM+GPU platforms. - Juan Pablo Silva; Ernesto Dufrechou; Pablo Ezzatti; Enrique S. Quintana-Ortí; Peter Benner; Alfredo Remón (CLEI, 2015)

Unleashing GPU acceleration for symmetric band linear algebra kernels and model reduction. - Peter Benner; Ernesto Dufrechou; Pablo Ezzatti; Enrique S. Quintana-Ortí; Alfredo Remón (Clust. Comput., 2015)

Extending lyapack for the solution of band Lyapunov equations on hybrid CPU-GPU platforms. - Peter Benner; Alfredo Remón; Ernesto Dufrechou; Pablo Ezzatti; Enrique S. Quintana-Ortí (J. Supercomput., 2015)

Design of a Task-Parallel Version of ILUPACK for Graphics Processors. - José Ignacio Aliaga; Ernesto Dufrechou; Pablo Ezzatti; Enrique S. Quintana-Ortí (CARLA, 2016)

Taking advantage of HPC techniques in the operational forecast of the Río de la Plata. - Rodrigo Baya; Ernesto Dufrechou; Pablo Ezzatti; Michelle Jackson; Mónica Fossati (CLEI, 2016)

A Data-Parallel ILUPACK for Sparse General and Symmetric Indefinite Linear Systems. - José Ignacio Aliaga; Matthias Bollhöfer; Ernesto Dufrechou; Pablo Ezzatti; Enrique S. Quintana-Ortí (Euro-Par Workshops, 2016)

Balancing Energy and Performance in Dense Linear System Solvers for Hybrid ARM+GPU platforms. - Juan Pablo Silva; Ernesto Dufrechou; Pablo Ezzatti; Enrique S. Quintana-Ortí; Alfredo Remón; Peter Benner (CLEI Electron. J., 2016)

Characterizing the efficiency of multicore and manycore processors for the solution of sparse linear systems. - José Ignacio Aliaga; Maria Barreda; Ernesto Dufrechou; Pablo Ezzatti; Enrique S. Quintana-Ortí (Comput. Sci. Res. Dev., 2016)

Exploiting task and data parallelism in ILUPACK's preconditioned CG solver on NUMA architectures and many-core accelerators. - José Ignacio Aliaga; Rosa M. Badia; Maria Barreda; Matthias Bollhöfer; Ernesto Dufrechou; Pablo Ezzatti; Enrique S. Quintana-Ortí (Parallel Comput., 2016)

Evaluating the NVIDIA Tegra Processor as a Low-Power Alternative for Sparse GPU Computations. - José Ignacio Aliaga; Ernesto Dufrechou; Pablo Ezzatti; Enrique S. Quintana-Ortí (CARLA, 2017)

Solving Sparse Differential Riccati Equations on Hybrid CPU-GPU Platforms. - Peter Benner; Ernesto Dufrechou; Pablo Ezzatti; Hermann Mena; Enrique S. Quintana-Ortí; Alfredo Remón (ICCSA (1), 2017)

Overcoming Memory-Capacity Constraints in the Use of ILUPACK on Graphics Processors. - José Ignacio Aliaga; Ernesto Dufrechou; Pablo Ezzatti; Enrique S. Quintana-Ortí (SBAC-PAD, 2017)

Assessing Sparse Triangular Linear System Solvers on GPUs. - Daniel Erguiz; Ernesto Dufrechou; Pablo Ezzatti (SBAC-PAD (Workshops), 2017)

Extending ILUPACK with a GPU Version of the BiCGStab Method. - José Ignacio Aliaga; Ernesto Dufrechou; Pablo Ezzatti; Enrique S. Quintana-Ortí (CLEI, 2018)

A New GPU Algorithm to Compute a Level Set-Based Analysis for the Parallel Solution of Sparse Triangular Systems. - Ernesto Dufrechou; Pablo Ezzatti (IPDPS, 2018)

Solving Sparse Triangular Linear Systems in Modern GPUs: A Synchronization-Free Algorithm. - Ernesto Dufrechou; Pablo Ezzatti (PDP, 2018)

Extending ILUPACK with a Task-Parallel Version of BiCG for Dual-GPU Servers. - José Ignacio Aliaga; Matthias Bollhöfer; Ernesto Dufrechou; Pablo Ezzatti; Enrique S. Quintana-Ortí (PMAM@PPoPP, 2018)

Accelerating the Calculation of Friedman Test Tables on Many-Core Processors. - Diego Irigaray; Ernesto Dufrechou; Martín Pedemonte; Pablo Ezzatti; Carlos López-Vázquez (CARLA, 2019)

Towards a Lightweight Method to Predict the Performance of Sparse Triangular Solvers on Heterogeneous Hardware Platforms. - Raúl Marichal; Ernesto Dufrechou; Pablo Ezzatti (CARLA, 2019)

Automatic Selection of Sparse Triangular Linear System Solvers on GPUs through Machine Learning Techniques. - Ernesto Dufrechou; Pablo Ezzatti; Enrique S. Quintana-Ortí (SBAC-PAD, 2019)

Avoiding Synchronization to Accelerate a CFD Solver in GPU. - Ernesto Dufrechou; Pablo Ezzatti; Gabriel Usera (SBAC-PAD, 2019)

A GPU-aware mixed-precision solver for low-rank algebraic Riccati equations. - Peter Benner; Ernesto Dufrechou; Pablo Ezzatti; Alfredo Remón; Jens Saak (Concurr. Comput. Pract. Exp., 2019)

Accelerating the task/data-parallel version of ILUPACK's BiCG in multi-CPU/GPU configurations. - José Ignacio Aliaga; Ernesto Dufrechou; Pablo Ezzatti; Enrique S. Quintana-Ortí (Parallel Comput., 2019)

An efficient GPU version of the preconditioned GMRES method. - José Ignacio Aliaga; Ernesto Dufrechou; Pablo Ezzatti; Enrique S. Quintana-Ortí (J. Supercomput., 2019)

Exploring fpga Optimizations to Compute Sparse Numerical Linear Algebra Kernels. - Federico Favaro; Ernesto Dufrechou; Pablo Ezzatti; Juan P. Oliver (ARC, 2020)

Understanding the Performance of Elementary NLA Kernels in FPGAs. - Federico Favaro; Juan P. Oliver; Ernesto Dufrechou; Pablo Ezzatti (IPDPS Workshops, 2020)

Estimating the parallelism in the solution of sparse triangular linear systems. - Eduardo González; Ernesto Dufrechou; Pablo Ezzatti (SCCC, 2020)

Using analysis information in the synchronization-free GPU solution of sparse triangular systems. - Ernesto Dufrechou; Pablo Ezzatti (Concurr. Comput. Pract. Exp., 2020)

Assessing the solution of one sparse triangular linear system on multi-many core platforms. - Raúl Marichal; Ernesto Dufrechou; Pablo Ezzatti (CLEI, 2021)

Towards an Efficient Sparse Storage Format for the SpMM Kernel in GPUs. - Renzo Marini; Ernesto Dufrechou; Pablo Ezzatti (Euro-Par Workshops, 2021)

Optimizing Sparse Matrix Storage for the Big Data Era. - Raúl Marichal; Ernesto Dufrechou; Pablo Ezzatti (JCC-BD&ET, 2021)

Unleashing the performance of bmSparse for the sparse matrix multiplication in GPUs. - Gonzalo Berger; Manuel Freire 002; Renzo Marini; Ernesto Dufrechou; Pablo Ezzatti (ScalA@SC, 2021)

Accelerating advanced preconditioning methods on hybrid architectures. - Ernesto Dufrechou (CLEI Electron. J., 2021)

Selecting optimal SpMV realizations for GPUs via machine learning. - Ernesto Dufrechou; Pablo Ezzatti; Enrique S. Quintana-Ortí (Int. J. High Perform. Comput. Appl., 2021)

Energy-efficient algebra kernels in FPGA for High Performance Computing. - Federico Favaro; Ernesto Dufrechou; Pablo Ezzatti; Juan P. Oliver (J. Comput. Sci. Technol., 2021)

Machine learning for optimal selection of sparse triangular system solvers on GPUs. - Ernesto Dufrechou; Pablo Ezzatti; Manuel Freire 002; Enrique S. Quintana-Ortí (J. Parallel Distributed Comput., 2021)

Factorized solution of generalized stable Sylvester equations using many-core GPU accelerators. - Peter Benner; Ernesto Dufrechou; Pablo Ezzatti; Rodrigo Gallardo; Enrique S. Quintana-Ortí (J. Supercomput., 2021)

Time-Power-Energy Balance of blas Kernels in Modern fpgas. - Federico Favaro; Ernesto Dufrechou; Juan P. Oliver; Pablo Ezzatti (CARLA, 2022)

Refactoring an Electric-Market Simulation Software for Massively Parallel Computations. - Franco Seveso; Raúl Marichal; Ernesto Dufrechou; Pablo Ezzatti (CARLA, 2022)

Kaizen Programming for predicting numerical linear algebra operations performance. - Jimena Ferreira; Ernesto Dufrechou; Martín Pedemonte (LA-CCI, 2022)

Enhancing the Sparse Matrix Storage Using Reordering Techniques. - Manuel Freire 002; Raúl Marichal; Sanderson L. Gonzaga de Oliveira; Ernesto Dufrechou; Pablo Ezzatti (CARLA, 2023)

Sparse Matrix-Vector Product for the bmSparse Matrix Format in GPUs. - Gonzalo Berger; Ernesto Dufrechou; Pablo Ezzatti (Euro-Par Workshops (1), 2023)

Towards Reducing Communications in Sparse Matrix Kernels. - Manuel Freire 002; Raúl Marichal; Ernesto Dufrechou; Pablo Ezzatti (JCC-BD&ET, 2023)

Trajectory-based Metaheuristics for Improving Sparse Matrix Storage. - Manuel Freire 002; Raúl Marichal; Ernesto Dufrechou; Pablo Ezzatti; Martín Pedemonte (LA-CCI, 2023)

Evaluation of architecture-aware optimization techniques for Convolutional Neural Networks. - Raúl Marichal; Guillermo Toyos; Ernesto Dufrechou; Pablo Ezzatti (PDP, 2023)

Assessing the Performance of an Architecture-Aware Optimization Tool for Neural Networks. - Raúl Marichal; Ernesto Dufrechou; Pablo Ezzatti (SBAC-PADW, 2023)

Advancing on an efficient sparse matrix multiplication kernel for modern GPUs. - Gonzalo Berger; Manuel Freire 002; Renzo Marini; Ernesto Dufrechou; Pablo Ezzatti (Concurr. Comput. Pract. Exp., 2023)

A GPU method for the analysis stage of the SPTRSV kernel. - Manuel Freire 002; Juan Ferrand; Franco Seveso; Ernesto Dufrechou; Pablo Ezzatti (J. Supercomput., 2023)

Element Scheduling for GPU-Accelerated Finite-Volumes Computations. - Franco Seveso; Ernesto Dufrechou; Pablo Ezzatti; Gabriel Usera (Euro-Par Workshops (1), 2024)

Avoiding Training in the Platform-Aware Optimization Process for Faster DNN Latency Reduction. - Raúl Marichal; Ernesto Dufrechou; Pablo Ezzatti (IPDPS (Workshops), 2024)

A new level-set analysis and sparse storage format for the SPTRSV in GPUs. - Manuel Freire 002; Ernesto Dufrechou; Pablo Ezzatti (SBAC-PAD, 2024)

Leveraging index compression techniques to optimize the use of co-processors. - Manuel Freire 002; Raúl Marichal; Agustin Martinez; Daniel Padron; Ernesto Dufrechou; Pablo Ezzatti (J. Comput. Sci. Technol., 2024)

Tuning high-level synthesis SpMV kernels in Alveo FPGAs. - Federico Favaro; Ernesto Dufrechou; Juan P. Oliver; Pablo Ezzatti (Microprocess. Microsystems, 2024)

Load-balanced SpMV kernel for the bmSparse matrix format. - Gonzalo Berger; Ernesto Dufrechou; Pablo Ezzatti (PDP, 2025)

A synchronization-free incomplete LU factorization for GPUs with level-set analysis. - Manuel Freire 002; Ernesto Dufrechou; Pablo Ezzatti (PDP, 2025)