Ernesto Dufrechou

62 papers A 1C 14Journal 20Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A review of self-scheduled strategies for numerical linear algebra on GPU. Comput. Sci. Rev. Manuel Freire, Ernesto Dufrechou, Pablo Ezzatti
2025	C	`conf`	A synchronization-free incomplete LU factorization for GPUs with level-set analysis. PDP Manuel Freire, Ernesto Dufrechou, Pablo Ezzatti
2025	C	`conf`	Load-balanced SpMV kernel for the bmSparse matrix format. PDP Gonzalo Berger, Ernesto Dufrechou, Pablo Ezzatti
2024	C	`conf`	A new level-set analysis and sparse storage format for the SPTRSV in GPUs. SBAC-PAD Manuel Freire, Ernesto Dufrechou, Pablo Ezzatti
2024	—	`conf`	Avoiding Training in the Platform-Aware Optimization Process for Faster DNN Latency Reduction. IPDPS (Workshops) Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti
2024	—	`conf`	Element Scheduling for GPU-Accelerated Finite-Volumes Computations. Euro-Par Workshops (1) Franco Seveso, Ernesto Dufrechou, Pablo Ezzatti, Gabriel Usera
2024	J	`jnl`	Leveraging index compression techniques to optimize the use of co-processors. J. Comput. Sci. Technol. Manuel Freire, Raúl Marichal, Agustin Martinez, Daniel Padron, Ernesto Dufrechou, Pablo Ezzatti
2024	J	`jnl`	Tuning high-level synthesis SpMV kernels in Alveo FPGAs. Microprocess. Microsystems Federico Favaro, Ernesto Dufrechou, Juan P. Oliver, Pablo Ezzatti
2023	J	`jnl`	A GPU method for the analysis stage of the SPTRSV kernel. J. Supercomput. Manuel Freire, Juan Ferrand, Franco Seveso, Ernesto Dufrechou, Pablo Ezzatti
2023	J	`jnl`	Advancing on an efficient sparse matrix multiplication kernel for modern GPUs. Concurr. Comput. Pract. Exp. Gonzalo Berger, Manuel Freire, Renzo Marini, Ernesto Dufrechou, Pablo Ezzatti
2023	—	`conf`	Assessing the Performance of an Architecture-Aware Optimization Tool for Neural Networks. SBAC-PADW Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti
2023	—	`conf`	Enhancing the Sparse Matrix Storage Using Reordering Techniques. CARLA Manuel Freire, Raúl Marichal, Sanderson L. Gonzaga de Oliveira, Ernesto Dufrechou, Pablo Ezzatti
2023	C	`conf`	Evaluation of architecture-aware optimization techniques for Convolutional Neural Networks. PDP Raúl Marichal, Guillermo Toyos, Ernesto Dufrechou, Pablo Ezzatti
2023	—	`conf`	Sparse Matrix-Vector Product for the bmSparse Matrix Format in GPUs. Euro-Par Workshops (1) Gonzalo Berger, Ernesto Dufrechou, Pablo Ezzatti
2023	—	`conf`	Towards Reducing Communications in Sparse Matrix Kernels. JCC-BD&ET Manuel Freire, Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti
2023	—	`conf`	Trajectory-based Metaheuristics for Improving Sparse Matrix Storage. LA-CCI Manuel Freire, Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti, Martín Pedemonte
2022	—	`conf`	Kaizen Programming for predicting numerical linear algebra operations performance. LA-CCI Jimena Ferreira, Ernesto Dufrechou, Martín Pedemonte
2022	—	`conf`	Refactoring an Electric-Market Simulation Software for Massively Parallel Computations. CARLA Franco Seveso, Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti
2022	—	`conf`	Time-Power-Energy Balance of blas Kernels in Modern fpgas. CARLA Federico Favaro, Ernesto Dufrechou, Juan P. Oliver, Pablo Ezzatti
2021	J	`jnl`	Accelerating advanced preconditioning methods on hybrid architectures. CLEI Electron. J. Ernesto Dufrechou
2021	C	`conf`	Assessing the solution of one sparse triangular linear system on multi-many core platforms. CLEI Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti
2021	J	`jnl`	Energy-efficient algebra kernels in FPGA for High Performance Computing. J. Comput. Sci. Technol. Federico Favaro, Ernesto Dufrechou, Pablo Ezzatti, Juan P. Oliver
2021	J	`jnl`	Factorized solution of generalized stable Sylvester equations using many-core GPU accelerators. J. Supercomput. Peter Benner, Ernesto Dufrechou, Pablo Ezzatti, Rodrigo Gallardo, Enrique S. Quintana-Ortí
2021	J	`jnl`	Machine learning for optimal selection of sparse triangular system solvers on GPUs. J. Parallel Distributed Comput. Ernesto Dufrechou, Pablo Ezzatti, Manuel Freire, Enrique S. Quintana-Ortí
2021	—	`conf`	Optimizing Sparse Matrix Storage for the Big Data Era. JCC-BD&ET Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti
2021	J	`jnl`	Selecting optimal SpMV realizations for GPUs via machine learning. Int. J. High Perform. Comput. Appl. Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí
2021	—	`conf`	Towards an Efficient Sparse Storage Format for the SpMM Kernel in GPUs. Euro-Par Workshops Renzo Marini, Ernesto Dufrechou, Pablo Ezzatti
2021	—	`conf`	Unleashing the performance of bmSparse for the sparse matrix multiplication in GPUs. ScalA@SC Gonzalo Berger, Manuel Freire, Renzo Marini, Ernesto Dufrechou, Pablo Ezzatti
2020	—	`conf`	Estimating the parallelism in the solution of sparse triangular linear systems. SCCC Eduardo González, Ernesto Dufrechou, Pablo Ezzatti
2020	—	`conf`	Exploring fpga Optimizations to Compute Sparse Numerical Linear Algebra Kernels. ARC Federico Favaro, Ernesto Dufrechou, Pablo Ezzatti, Juan P. Oliver
2020	—	`conf`	Understanding the Performance of Elementary NLA Kernels in FPGAs. IPDPS Workshops Federico Favaro, Juan P. Oliver, Ernesto Dufrechou, Pablo Ezzatti
2020	J	`jnl`	Using analysis information in the synchronization-free GPU solution of sparse triangular systems. Concurr. Comput. Pract. Exp. Ernesto Dufrechou, Pablo Ezzatti
2019	J	`jnl`	A GPU-aware mixed-precision solver for low-rank algebraic Riccati equations. Concurr. Comput. Pract. Exp. Peter Benner, Ernesto Dufrechou, Pablo Ezzatti, Alfredo Remón, Jens Saak
2019	—	`conf`	Accelerating the Calculation of Friedman Test Tables on Many-Core Processors. CARLA Diego Irigaray, Ernesto Dufrechou, Martín Pedemonte, Pablo Ezzatti, Carlos López-Vázquez
2019	J	`jnl`	Accelerating the task/data-parallel version of ILUPACK's BiCG in multi-CPU/GPU configurations. Parallel Comput. José Ignacio Aliaga, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí
2019	J	`jnl`	An efficient GPU version of the preconditioned GMRES method. J. Supercomput. José Ignacio Aliaga, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí
2019	C	`conf`	Automatic Selection of Sparse Triangular Linear System Solvers on GPUs through Machine Learning Techniques. SBAC-PAD Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí
2019	C	`conf`	Avoiding Synchronization to Accelerate a CFD Solver in GPU. SBAC-PAD Ernesto Dufrechou, Pablo Ezzatti, Gabriel Usera
2019	—	`conf`	Towards a Lightweight Method to Predict the Performance of Sparse Triangular Solvers on Heterogeneous Hardware Platforms. CARLA Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti
2018	A	`conf`	A New GPU Algorithm to Compute a Level Set-Based Analysis for the Parallel Solution of Sparse Triangular Systems. IPDPS Ernesto Dufrechou, Pablo Ezzatti
2018	C	`conf`	Extending ILUPACK with a GPU Version of the BiCGStab Method. CLEI José Ignacio Aliaga, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí
2018	—	`conf`	Extending ILUPACK with a Task-Parallel Version of BiCG for Dual-GPU Servers. PMAM@PPoPP José Ignacio Aliaga, Matthias Bollhöfer, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí
2018	C	`conf`	Solving Sparse Triangular Linear Systems in Modern GPUs: A Synchronization-Free Algorithm. PDP Ernesto Dufrechou, Pablo Ezzatti
2017	—	`conf`	Assessing Sparse Triangular Linear System Solvers on GPUs. SBAC-PAD (Workshops) Daniel Erguiz, Ernesto Dufrechou, Pablo Ezzatti
2017	—	`conf`	Evaluating the NVIDIA Tegra Processor as a Low-Power Alternative for Sparse GPU Computations. CARLA José Ignacio Aliaga, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí
2017	C	`conf`	Overcoming Memory-Capacity Constraints in the Use of ILUPACK on Graphics Processors. SBAC-PAD José Ignacio Aliaga, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí
2017	—	`conf`	Solving Sparse Differential Riccati Equations on Hybrid CPU-GPU Platforms. ICCSA (1) Peter Benner, Ernesto Dufrechou, Pablo Ezzatti, Hermann Mena, Enrique S. Quintana-Ortí, Alfredo Remón
2016	—	`conf`	A Data-Parallel ILUPACK for Sparse General and Symmetric Indefinite Linear Systems. Euro-Par Workshops José Ignacio Aliaga, Matthias Bollhöfer, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí
2016	J	`jnl`	Balancing Energy and Performance in Dense Linear System Solvers for Hybrid ARM+GPU platforms. CLEI Electron. J. Juan Pablo Silva, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí, Alfredo Remón, Peter Benner
2016	J	`jnl`	Characterizing the efficiency of multicore and manycore processors for the solution of sparse linear systems. Comput. Sci. Res. Dev. José Ignacio Aliaga, Maria Barreda, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí
2016	—	`conf`	Design of a Task-Parallel Version of ILUPACK for Graphics Processors. CARLA José Ignacio Aliaga, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí
2016	J	`jnl`	Exploiting task and data parallelism in ILUPACK's preconditioned CG solver on NUMA architectures and many-core accelerators. Parallel Comput. José Ignacio Aliaga, Rosa M. Badia, Maria Barreda, Matthias Bollhöfer, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí
2016	C	`conf`	Taking advantage of HPC techniques in the operational forecast of the Río de la Plata. CLEI Rodrigo Baya, Ernesto Dufrechou, Pablo Ezzatti, Michelle Jackson, Mónica Fossati
2015	J	`jnl`	Extending lyapack for the solution of band Lyapunov equations on hybrid CPU-GPU platforms. J. Supercomput. Peter Benner, Alfredo Remón, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí
2015	—	`conf`	Solving Linear Systems on the Intel Xeon-Phi Accelerator via the Gauss-Huard Algorithm. CARLA Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí, Alfredo Remón
2015	C	`conf`	Solving dense linear systems with hybrid ARM+GPU platforms. CLEI Juan Pablo Silva, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí, Peter Benner, Alfredo Remón
2015	J	`jnl`	Unleashing GPU acceleration for symmetric band linear algebra kernels and model reduction. Clust. Comput. Peter Benner, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí, Alfredo Remón
2014	—	`conf`	Accelerating Band Linear Algebra Operations on GPUs with Application in Model Reduction. ICCSA (6) Peter Benner, Ernesto Dufrechou, Pablo Ezzatti, Pablo Igounet, Enrique S. Quintana-Ortí, Alfredo Remón
2014	C	`conf`	Accelerating the general band matrix multiplication using graphics processors. CLEI Peter Benner, Alfredo Remón, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí
2014	J	`jnl`	Another step to the full GPU implementation of the weather research and forecasting model. J. Supercomput. Juan Pablo Silva, José Hagopian, Marcel Burdiat, Ernesto Dufrechou, Martín Pedemonte, Alejandro Gutiérrez Arce, Gabriel Cazes, Pablo Ezzatti
2014	—	`conf`	Efficient Symmetric Band Matrix-Matrix Multiplication on GPUs. CARLA Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí, Alfredo Remón
2014	C	`conf`	Leveraging Data-Parallelism in ILUPACK using Graphics Processors. ISPDC José Ignacio Aliaga, Matthias Bollhöfer, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí