Ernesto Dufrechou

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 47

Top Topics

Graphics Processors

Top Venues

J. Supercomput.

Concurr. Comput. Pract. Exp.

Publications

Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti
Avoiding Training in the Platform-Aware Optimization Process for Faster DNN Latency Reduction. IPDPS (Workshops) (2024)
Manuel Freire, Raúl Marichal, Agustin Martinez, Daniel Padron, Ernesto Dufrechou, Pablo Ezzatti
Leveraging index compression techniques to optimize the use of co-processors. J. Comput. Sci. Technol. 24 (1) (2024)
Manuel Freire, Juan Ferrand, Franco Seveso, Ernesto Dufrechou, Pablo Ezzatti
A GPU method for the analysis stage of the SPTRSV kernel. J. Supercomput. 79 (13) (2023)
Manuel Freire, Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti
Towards Reducing Communications in Sparse Matrix Kernels. JCC-BD&ET (2023)
Gonzalo Berger, Ernesto Dufrechou, Pablo Ezzatti
Sparse Matrix-Vector Product for the bmSparse Matrix Format in GPUs. Euro-Par Workshops (1) (2023)
Manuel Freire, Raúl Marichal, Sanderson L. Gonzaga de Oliveira, Ernesto Dufrechou, Pablo Ezzatti
Enhancing the Sparse Matrix Storage Using Reordering Techniques. CARLA (2023)
Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti
Assessing the Performance of an Architecture-Aware Optimization Tool for Neural Networks. SBAC-PADW (2023)
Gonzalo Berger, Manuel Freire, Renzo Marini, Ernesto Dufrechou, Pablo Ezzatti
Advancing on an efficient sparse matrix multiplication kernel for modern GPUs. Concurr. Comput. Pract. Exp. 35 (20) (2023)
Manuel Freire, Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti, Martín Pedemonte
Trajectory-based Metaheuristics for Improving Sparse Matrix Storage. LA-CCI (2023)
Raúl Marichal, Guillermo Toyos, Ernesto Dufrechou, Pablo Ezzatti
Evaluation of architecture-aware optimization techniques for Convolutional Neural Networks. PDP (2023)
Franco Seveso, Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti
Refactoring an Electric-Market Simulation Software for Massively Parallel Computations. CARLA (2022)
Jimena Ferreira, Ernesto Dufrechou, Martín Pedemonte
Kaizen Programming for predicting numerical linear algebra operations performance. LA-CCI (2022)
Federico Favaro, Ernesto Dufrechou, Juan P. Oliver, Pablo Ezzatti
Time-Power-Energy Balance of blas Kernels in Modern fpgas. CARLA (2022)
Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti
Optimizing Sparse Matrix Storage for the Big Data Era. JCC-BD&ET (2021)
Ernesto Dufrechou
Accelerating advanced preconditioning methods on hybrid architectures. CLEI Electron. J. 24 (1) (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)
Federico Favaro, Ernesto Dufrechou, Pablo Ezzatti, Juan P. Oliver
Energy-efficient algebra kernels in FPGA for High Performance Computing. J. Comput. Sci. Technol. 21 (2) (2021)
Gonzalo Berger, Manuel Freire, Renzo Marini, Ernesto Dufrechou, Pablo Ezzatti
Unleashing the performance of bmSparse for the sparse matrix multiplication in GPUs. ScalA@SC (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)
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)
Renzo Marini, Ernesto Dufrechou, Pablo Ezzatti
Towards an Efficient Sparse Storage Format for the SpMM Kernel in GPUs. Euro-Par Workshops (2021)
Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti
Assessing the solution of one sparse triangular linear system on multi-many core platforms. CLEI (2021)
Ernesto Dufrechou, Pablo Ezzatti
Using analysis information in the synchronization-free GPU solution of sparse triangular systems. Concurr. Comput. Pract. Exp. 32 (10) (2020)
Federico Favaro, Juan P. Oliver, Ernesto Dufrechou, Pablo Ezzatti
Understanding the Performance of Elementary NLA Kernels in FPGAs. IPDPS Workshops (2020)
Federico Favaro, Ernesto Dufrechou, Pablo Ezzatti, Juan P. Oliver
Exploring fpga Optimizations to Compute Sparse Numerical Linear Algebra Kernels. ARC (2020)
Eduardo González, Ernesto Dufrechou, Pablo Ezzatti
Estimating the parallelism in the solution of sparse triangular linear systems. SCCC (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)
Peter Benner, Ernesto Dufrechou, Pablo Ezzatti, Alfredo Remón, Jens Saak
A GPU-aware mixed-precision solver for low-rank algebraic Riccati equations. Concurr. Comput. Pract. Exp. 31 (6) (2019)
Diego Irigaray, Ernesto Dufrechou, Martín Pedemonte, Pablo Ezzatti, Carlos López-Vázquez
Accelerating the Calculation of Friedman Test Tables on Many-Core Processors. CARLA (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)
Ernesto Dufrechou, Pablo Ezzatti, Gabriel Usera
Avoiding Synchronization to Accelerate a CFD Solver in GPU. SBAC-PAD (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)
Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti
Towards a Lightweight Method to Predict the Performance of Sparse Triangular Solvers on Heterogeneous Hardware Platforms. CARLA (2019)
Ernesto Dufrechou, Pablo Ezzatti
A New GPU Algorithm to Compute a Level Set-Based Analysis for the Parallel Solution of Sparse Triangular Systems. IPDPS (2018)
José Ignacio Aliaga, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí
Extending ILUPACK with a GPU Version of the BiCGStab Method. CLEI (2018)
Ernesto Dufrechou, Pablo Ezzatti
Solving Sparse Triangular Linear Systems in Modern GPUs: A Synchronization-Free Algorithm. PDP (2018)
José Ignacio Aliaga, Matthias Bollhöfer, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí
Extending ILUPACK with a Task-Parallel Version of BiCG for Dual-GPU Servers. PMAM@PPoPP (2018)
Daniel Erguiz, Ernesto Dufrechou, Pablo Ezzatti
Assessing Sparse Triangular Linear System Solvers on GPUs. SBAC-PAD (Workshops) (2017)
José Ignacio Aliaga, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí
Overcoming Memory-Capacity Constraints in the Use of ILUPACK on Graphics Processors. SBAC-PAD (2017)
Peter Benner, Ernesto Dufrechou, Pablo Ezzatti, Hermann Mena, Enrique S. Quintana-Ortí, Alfredo Remón
Solving Sparse Differential Riccati Equations on Hybrid CPU-GPU Platforms. ICCSA (1) (2017)
José Ignacio Aliaga, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí
Evaluating the NVIDIA Tegra Processor as a Low-Power Alternative for Sparse GPU Computations. CARLA (2017)
José Ignacio Aliaga, Matthias Bollhöfer, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí
A Data-Parallel ILUPACK for Sparse General and Symmetric Indefinite Linear Systems. Euro-Par Workshops (2016)
José Ignacio Aliaga, Maria Barreda, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí
Characterizing the efficiency of multicore and manycore processors for the solution of sparse linear systems. Comput. Sci. Res. Dev. 31 (4) (2016)
José Ignacio Aliaga, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí
Design of a Task-Parallel Version of ILUPACK for Graphics Processors. CARLA (2016)
Juan Pablo Silva, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí, Alfredo Remón, Peter Benner
Balancing Energy and Performance in Dense Linear System Solvers for Hybrid ARM+GPU platforms. CLEI Electron. J. 19 (1) (2016)
Rodrigo Baya, Ernesto Dufrechou, Pablo Ezzatti, Michelle Jackson, Mónica Fossati
Taking advantage of HPC techniques in the operational forecast of the Río de la Plata. CLEI (2016)
José Ignacio Aliaga, Rosa M. Badia, Maria Barreda, Matthias Bollhöfer, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí
Exploiting task and data parallelism in ILUPACK's preconditioned CG solver on NUMA architectures and many-core accelerators. Parallel Comput. 54 (2016)
Juan Pablo Silva, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí, Peter Benner, Alfredo Remón
Solving dense linear systems with hybrid ARM+GPU platforms. CLEI (2015)
Peter Benner, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí, Alfredo Remón
Unleashing GPU acceleration for symmetric band linear algebra kernels and model reduction. Clust. Comput. 18 (4) (2015)
Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí, Alfredo Remón
Solving Linear Systems on the Intel Xeon-Phi Accelerator via the Gauss-Huard Algorithm. CARLA (2015)
Peter Benner, Alfredo Remón, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí
Extending lyapack for the solution of band Lyapunov equations on hybrid CPU-GPU platforms. J. Supercomput. 71 (2) (2015)
Peter Benner, Ernesto Dufrechou, Pablo Ezzatti, Pablo Igounet, Enrique S. Quintana-Ortí, Alfredo Remón
Accelerating Band Linear Algebra Operations on GPUs with Application in Model Reduction. ICCSA (6) (2014)
Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí, Alfredo Remón
Efficient Symmetric Band Matrix-Matrix Multiplication on GPUs. CARLA (2014)
Peter Benner, Alfredo Remón, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí
Accelerating the general band matrix multiplication using graphics processors. CLEI (2014)
Juan Pablo Silva, José Hagopian, Marcel Burdiat, Ernesto Dufrechou, Martín Pedemonte, Alejandro Gutiérrez Arce, Gabriel Cazes, Pablo Ezzatti
Another step to the full GPU implementation of the weather research and forecasting model. J. Supercomput. 70 (2) (2014)
José Ignacio Aliaga, Matthias Bollhöfer, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí
Leveraging Data-Parallelism in ILUPACK using Graphics Processors. ISPDC (2014)