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ORCIDErnesto Dufrechu
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2020 – today
- 2024
[j20]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): 01 (2024)- [j19]Federico Favaro, Ernesto Dufrechou, Juan P. Oliver, Pablo Ezzatti:
Tuning high-level synthesis SpMV kernels in Alveo FPGAs. Microprocess. Microsystems 110: 105104 (2024) - [c40]Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti:
Avoiding Training in the Platform-Aware Optimization Process for Faster DNN Latency Reduction. IPDPS (Workshops) 2024: 311-320 - [c39]Manuel Freire, Ernesto Dufrechou, Pablo Ezzatti:
A new level-set analysis and sparse storage format for the SPTRSV in GPUs. SBAC-PAD 2024: 59-69 - 2023
- [j18]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) - [j17]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): 15051-15078 (2023) - [c38]Manuel Freire, Raúl Marichal, Sanderson L. Gonzaga de Oliveira, Ernesto Dufrechou, Pablo Ezzatti:
Enhancing the Sparse Matrix Storage Using Reordering Techniques. CARLA 2023: 66-76 - [c37]Gonzalo Berger, Ernesto Dufrechou, Pablo Ezzatti:
Sparse Matrix-Vector Product for the bmSparse Matrix Format in GPUs. Euro-Par Workshops (1) 2023: 246-256 - [c36]Manuel Freire, Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti:
Towards Reducing Communications in Sparse Matrix Kernels. JCC-BD&ET 2023: 17-30 - [c35]Manuel Freire, Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti, Martín Pedemonte:
Trajectory-based Metaheuristics for Improving Sparse Matrix Storage. LA-CCI 2023: 1-6 - [c34]Raúl Marichal, Guillermo Toyos, Ernesto Dufrechou, Pablo Ezzatti:
Evaluation of architecture-aware optimization techniques for Convolutional Neural Networks. PDP 2023: 177-184 - [c33]Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti:
Assessing the Performance of an Architecture-Aware Optimization Tool for Neural Networks. SBAC-PADW 2023: 1-8 - 2022
- [c32]Federico Favaro, Ernesto Dufrechou, Juan P. Oliver, Pablo Ezzatti:
Time-Power-Energy Balance of blas Kernels in Modern fpgas. CARLA 2022: 78-89 - [c31]Franco Seveso, Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti:
Refactoring an Electric-Market Simulation Software for Massively Parallel Computations. CARLA 2022: 190-204 - [c30]Jimena Ferreira, Ernesto Dufrechou, Martín Pedemonte:
Kaizen Programming for predicting numerical linear algebra operations performance. LA-CCI 2022: 1-6 - 2021
- [j16]Ernesto Dufrechou:
Accelerating advanced preconditioning methods on hybrid architectures. CLEI Electron. J. 24(1) (2021) - [j15]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) - [j14]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): 09 (2021) - [j13]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: 47-55 (2021) - [j12]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): 10152-10164 (2021) - [c29]Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti:
Assessing the solution of one sparse triangular linear system on multi-many core platforms. CLEI 2021: 1-8 - [c28]Renzo Marini, Ernesto Dufrechou, Pablo Ezzatti:
Towards an Efficient Sparse Storage Format for the SpMM Kernel in GPUs. Euro-Par Workshops 2021: 104-115 - [c27]Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti:
Optimizing Sparse Matrix Storage for the Big Data Era. JCC-BD&ET 2021: 121-135 - [c26]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: 19-26 - 2020
- [j11]Ernesto Dufrechou, Pablo Ezzatti:
Using analysis information in the synchronization-free GPU solution of sparse triangular systems. Concurr. Comput. Pract. Exp. 32(10) (2020) - [c25]Federico Favaro, Ernesto Dufrechou, Pablo Ezzatti, Juan P. Oliver:
Exploring fpga Optimizations to Compute Sparse Numerical Linear Algebra Kernels. ARC 2020: 258-268 - [c24]Federico Favaro, Juan P. Oliver, Ernesto Dufrechou, Pablo Ezzatti:
Understanding the Performance of Elementary NLA Kernels in FPGAs. IPDPS Workshops 2020: 479-482 - [c23]Eduardo González, Ernesto Dufrechou, Pablo Ezzatti:
Estimating the parallelism in the solution of sparse triangular linear systems. SCCC 2020: 1-8
2010 – 2019
- 2019
- [j10]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) - [j9]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: 79-87 (2019) - [j8]José Ignacio Aliaga, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí:
An efficient GPU version of the preconditioned GMRES method. J. Supercomput. 75(3): 1455-1469 (2019) - [c22]Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti:
Towards a Lightweight Method to Predict the Performance of Sparse Triangular Solvers on Heterogeneous Hardware Platforms. CARLA 2019: 109-121 - [c21]Diego Irigaray, Ernesto Dufrechou, Martín Pedemonte, Pablo Ezzatti, Carlos López-Vázquez:
Accelerating the Calculation of Friedman Test Tables on Many-Core Processors. CARLA 2019: 122-135 - [c20]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: 41-47 - [c19]Ernesto Dufrechou, Pablo Ezzatti, Gabriel Usera:
Avoiding Synchronization to Accelerate a CFD Solver in GPU. SBAC-PAD 2019: 204-211 - 2018
- [c18]José Ignacio Aliaga, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí:
Extending ILUPACK with a GPU Version of the BiCGStab Method. CLEI 2018: 728-734 - [c17]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: 920-929 - [c16]Ernesto Dufrechou, Pablo Ezzatti:
Solving Sparse Triangular Linear Systems in Modern GPUs: A Synchronization-Free Algorithm. PDP 2018: 196-203 - [c15]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: 71-78 - 2017
- [c14]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: 111-122 - [c13]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: 116-132 - [c12]Daniel Erguiz, Ernesto Dufrechou, Pablo Ezzatti:
Assessing Sparse Triangular Linear System Solvers on GPUs. SBAC-PAD (Workshops) 2017: 37-42 - [c11]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: 41-48 - 2016
- [j7]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): 2 (2016) - [j6]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): 175-183 (2016) - [j5]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: 97-107 (2016) - [c10]José Ignacio Aliaga, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí:
Design of a Task-Parallel Version of ILUPACK for Graphics Processors. CARLA 2016: 91-103 - [c9]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: 1-8 - [c8]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: 121-133 - 2015
- [j4]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): 1351-1362 (2015) - [j3]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): 740-750 (2015) - [c7]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: 107-117 - [c6]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: 1-8 - 2014
- [j2]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): 746-755 (2014) - [c5]Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí, Alfredo Remón:
Efficient Symmetric Band Matrix-Matrix Multiplication on GPUs. CARLA 2014: 1-12 - [c4]Peter Benner, Alfredo Remón, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí:
Accelerating the general band matrix multiplication using graphics processors. CLEI 2014: 1-7 - [c3]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: 386-400 - [c2]José Ignacio Aliaga, Matthias Bollhöfer, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí:
Leveraging Data-Parallelism in ILUPACK using Graphics Processors. ISPDC 2014: 119-126 - 2013
- [j1]Ernesto Dufrechu, Pablo Ezzatti, Enrique S. Quintana-Ortí, Alfredo Remón:
Accelerating the Lyapack library using GPUs. J. Supercomput. 65(3): 1114-1124 (2013) - 2012
- [c1]Ernesto Dufrechu, Federico Favre, Martín Pedemonte, Pedro Curto, Pablo Ezzatti:
Accelerating radiative heat transfer calculations on modern hardware. CLEI 2012: 1-9
Coauthor Index
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