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2020 – today
- 2024
[j33]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)- [j32]Federico Favaro, Ernesto Dufrechou, Juan P. Oliver, Pablo Ezzatti:
Tuning high-level synthesis SpMV kernels in Alveo FPGAs. Microprocess. Microsystems 110: 105104 (2024) - [c73]Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti:
Avoiding Training in the Platform-Aware Optimization Process for Faster DNN Latency Reduction. IPDPS (Workshops) 2024: 311-320 - 2023
- [j31]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) - [j30]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) - [c72]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 - [c71]Gonzalo Berger, Ernesto Dufrechou, Pablo Ezzatti:
Sparse Matrix-Vector Product for the bmSparse Matrix Format in GPUs. Euro-Par Workshops (1) 2023: 246-256 - [c70]Manuel Freire, Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti:
Towards Reducing Communications in Sparse Matrix Kernels. JCC-BD&ET 2023: 17-30 - [c69]Manuel Freire, Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti, Martín Pedemonte:
Trajectory-based Metaheuristics for Improving Sparse Matrix Storage. LA-CCI 2023: 1-6 - [c68]Raúl Marichal, Guillermo Toyos, Ernesto Dufrechou, Pablo Ezzatti:
Evaluation of architecture-aware optimization techniques for Convolutional Neural Networks. PDP 2023: 177-184 - [c67]Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti:
Assessing the Performance of an Architecture-Aware Optimization Tool for Neural Networks. SBAC-PADW 2023: 1-8 - 2022
- [c66]Federico Favaro, Ernesto Dufrechou, Juan P. Oliver, Pablo Ezzatti:
Time-Power-Energy Balance of blas Kernels in Modern fpgas. CARLA 2022: 78-89 - [c65]Franco Seveso, Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti:
Refactoring an Electric-Market Simulation Software for Massively Parallel Computations. CARLA 2022: 190-204 - 2021
- [j29]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) - [j28]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) - [j27]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) - [j26]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) - [c64]Bruno Amaral, Juan Manuel San Martin, Lorena Etcheverry, Pablo Ezzatti:
Improving the performance of graph database queries using linear algebra operations. CLEI 2021: 1-10 - [c63]Gustavo Betarte, Juan Diego Campo, Andrea Delgado, Pablo Ezzatti, Laura González, Álvaro Martín, Rodrigo Martínez, Bárbara Muracciole:
Proximity tracing applications for COVID-19: data privacy and security. CLEI 2021: 1-10 - [c62]Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti:
Assessing the solution of one sparse triangular linear system on multi-many core platforms. CLEI 2021: 1-8 - [c61]Renzo Marini, Ernesto Dufrechou, Pablo Ezzatti:
Towards an Efficient Sparse Storage Format for the SpMM Kernel in GPUs. Euro-Par Workshops 2021: 104-115 - [c60]Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti:
Optimizing Sparse Matrix Storage for the Big Data Era. JCC-BD&ET 2021: 121-135 - [c59]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 - [c58]Federico Favaro, Juan P. Oliver, Pablo Ezzatti:
Unleashing the computational power of FPGAs to efficiently perform SPMV operation. SCCC 2021: 1-8 - 2020
- [j25]Ernesto Dufrechou, Pablo Ezzatti:
Using analysis information in the synchronization-free GPU solution of sparse triangular systems. Concurr. Comput. Pract. Exp. 32(10) (2020) - [j24]Rodrigo Baya, Martín Pedemonte, Alejandro Gutiérrez Arce, Pablo Ezzatti:
An asynchronous computation architecture for enhancing the performance of the Weather Research and Forecasting model. Concurr. Comput. Pract. Exp. 32(19) (2020) - [c57]Federico Favaro, Ernesto Dufrechou, Pablo Ezzatti, Juan P. Oliver:
Exploring fpga Optimizations to Compute Sparse Numerical Linear Algebra Kernels. ARC 2020: 258-268 - [c56]Federico Favaro, Juan P. Oliver, Ernesto Dufrechou, Pablo Ezzatti:
Understanding the Performance of Elementary NLA Kernels in FPGAs. IPDPS Workshops 2020: 479-482 - [c55]Eduardo González, Ernesto Dufrechou, Pablo Ezzatti:
Estimating the parallelism in the solution of sparse triangular linear systems. SCCC 2020: 1-8
2010 – 2019
- 2019
- [j23]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) - [j22]Pablo Ezzatti, Enrique S. Quintana-Ortí, Alfredo Remón, Jens Saak:
Power-aware computing. Concurr. Comput. Pract. Exp. 31(6) (2019) - [j21]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) - [j20]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) - [c54]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 - [c53]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 - [c52]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 - [c51]Ernesto Dufrechou, Pablo Ezzatti, Gabriel Usera:
Avoiding Synchronization to Accelerate a CFD Solver in GPU. SBAC-PAD 2019: 204-211 - 2018
- [c50]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 - [c49]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 - [c48]Ernesto Dufrechou, Pablo Ezzatti:
Solving Sparse Triangular Linear Systems in Modern GPUs: A Synchronization-Free Algorithm. PDP 2018: 196-203 - [c47]Rodrigo Baya, Claudio Porrini, Martín Pedemonte, Pablo Ezzatti:
Task Parallelism in the WRF Model Through Computation Offloading to Many-Core Devices. PDP 2018: 596-600 - [c46]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
- [j19]Peter Benner, Pablo Ezzatti, Enrique S. Quintana-Ortí, Alfredo Remón:
Extending the Gauss-Huard method for the solution of Lyapunov matrix equations and matrix inversion. Concurr. Comput. Pract. Exp. 29(9) (2017) - [j18]Marcelo Bondarenco, Pablo Gamazo, Pablo Ezzatti:
A comparison of various schemes for solving the transport equation in many-core platforms. J. Supercomput. 73(1): 469-481 (2017) - [c45]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 - [c44]Ignacio Decia, Rodrigo Leira, Martín Pedemonte, Eduardo Fernández, Pablo Ezzatti:
A VNS with Parallel Evaluation of Solutions for the Inverse Lighting Problem. EvoApplications (1) 2017: 741-756 - [c43]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 - [c42]Daniel Erguiz, Ernesto Dufrechou, Pablo Ezzatti:
Assessing Sparse Triangular Linear System Solvers on GPUs. SBAC-PAD (Workshops) 2017: 37-42 - [c41]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
- [j17]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) - [j16]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) - [j15]Martin Köhler, Carolin Penke, Jens Saak, Pablo Ezzatti:
Energy-aware solution of linear systems with many right hand sides. Comput. Sci. Res. Dev. 31(4): 215-223 (2016) - [j14]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) - [c40]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 - [c39]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 - [c38]Marcelo Bondarenco, Pablo Gamazo, Pablo Ezzatti:
Assessing the explicit finite difference method on a massive parallel platform. CLEI 2016: 1-7 - [c37]Danilo Espino, Gerardo Ares, Martín Pedemonte, Pablo Ezzatti:
Overview of HPC benchmarks in hybrid hardware platforms (CPUs+GPUs). CLEI 2016: 1-10 - [c36]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 - [c35]Peter Benner, Pablo Ezzatti, Enrique S. Quintana-Ortí, Alfredo Remón, Juan Pablo Silva:
Tuning the Blocksize for Dense Linear Algebra Factorization Routines with the Roofline Model. ICA3PP Workshops 2016: 18-29 - [c34]Sandra Catalán, Pablo Ezzatti, Enrique S. Quintana-Ortí, Alfredo Remón:
The Impact of Panel Factorization on the Gauss-Huard Algorithm for the Solution of Linear Systems on Modern Architectures. ICA3PP 2016: 405-416 - [c33]Rodrigo Baya, Ignacio Decia, Pablo Ezzatti, Hermann Mena:
Accelerating the resolution of generalized Lyapunov matrix equations on hybrid architectures. HPCS 2016: 653-658 - [c32]Yamandú González, Pablo Ezzatti, Margot Paulino:
Unleashing the Graphic Processing Units-Based Version of NAMD. IWBBIO 2016: 639-650 - [c31]Gonzalo Arcos, Rodrigo Ferreri, Matias Richart, Pablo Ezzatti, Eduardo Grampín:
Accelerating an IEEE 802.11 a/g/p Transceiver in GNU Radio. LANC 2016: 13-19 - [c30]Gonzalo Javiel, Lorena Etcheverry, Pablo Ezzatti:
Accelerating the quality measurement of DNA with GPUs. SCCC 2016: 1-7 - 2015
- [j13]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) - [j12]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) - [c29]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 - [c28]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 - [c27]Peter Benner, Pablo Ezzatti, Enrique S. Quintana-Ortí, Alfredo Remón:
Exploring the Offload Execution Model in the Intel Xeon Phi via Matrix Inversion. PARCO 2015: 237-246 - [c26]Peter Benner, Pablo Ezzatti, Enrique S. Quintana-Ortí, Alfredo Remón:
A Parallel Multi-threaded Solver for Symmetric Positive Definite Bordered-Band Linear Systems. PPAM (1) 2015: 96-105 - [c25]Martín Pedemonte, Pablo Ezzatti, Alvaro Martín:
Accelerating the Min-Min Heuristic. PPAM (2) 2015: 101-110 - [c24]Peter Benner, Pablo Ezzatti, Enrique S. Quintana-Ortí, Alfredo Remón:
Revisiting the Gauss-Huard Algorithm for the Solution of Linear Systems on Graphics Accelerators. PPAM (1) 2015: 505-514 - [c23]Mauro Blanco, Pablo Perdomo, Pablo Ezzatti, Alberto Pardo, Marcos Viera:
Painless Parallelism on Heterogeneous Hardware Leveraging the Functional Paradigm. SBAC-PAD (Workshops) 2015: 73-78 - 2014
- [j11]Peter Benner, Pablo Ezzatti, Enrique S. Quintana-Ortí, Alfredo Remón:
Trading Off Performance for Energy in Linear Algebra Operations with Applications in Control Theory. CLEI Electron. J. 17(1) (2014) - [j10]Peter Benner, Pablo Ezzatti, Enrique S. Quintana-Ortí, Alfredo Remón:
A factored variant of the Newton iteration for the solution of algebraic Riccati equations via the matrix sign function. Numer. Algorithms 66(2): 363-377 (2014) - [j9]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) - [c22]Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí, Alfredo Remón:
Efficient Symmetric Band Matrix-Matrix Multiplication on GPUs. CARLA 2014: 1-12 - [c21]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 - [c20]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 - [c19]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
- [j8]Peter Benner, Pablo Ezzatti, Hermann Mena, Enrique S. Quintana-Ortí, Alfredo Remón:
Solving Matrix Equations on Multi-Core and Many-Core Architectures. Algorithms 6(4): 857-870 (2013) - [j7]Peter Benner, Pablo Ezzatti, Enrique S. Quintana-Ortí, Alfredo Remón:
Matrix inversion on CPU-GPU platforms with applications in control theory. Concurr. Comput. Pract. Exp. 25(8): 1170-1182 (2013) - [j6]Pablo Ezzatti, Martín Pedemonte, Alvaro Martín:
An efficient implementation of the Min-Min heuristic. Comput. Oper. Res. 40(11): 2670-2676 (2013) - [j5]Ernesto Dufrechu, Pablo Ezzatti, Enrique S. Quintana-Ortí, Alfredo Remón:
Accelerating the Lyapack library using GPUs. J. Supercomput. 65(3): 1114-1124 (2013) - [c18]Peter Benner, Pablo Ezzatti, Enrique S. Quintana-Ortí, Alfredo Remón:
On the Impact of Optimization on the Time-Power-Energy Balance of Dense Linear Algebra Factorizations. ICA3PP (2) 2013: 3-10 - [c17]Mauro Blanco, Pablo Perdomo, Pablo Ezzatti, Alberto Pardo, Marcos Viera:
Towards a functional run-time for dense NLA domain. FHPC@ICFP 2013: 85-96 - [c16]Peter Benner, Pablo Ezzatti, Enrique S. Quintana-Ortí, Alfredo Remón:
Exploiting Data- and Task-Parallelism in the Solution of Riccati Equations on Multicore Servers and GPUs. PARCO 2013: 367-374 - 2012
- [j4]Pablo Igounet, Pablo Alfaro, Gabriel Usera, Pablo Ezzatti:
Towards a finite volume model on a many-core platform. Int. J. High Perform. Syst. Archit. 4(2): 78-88 (2012) - [c15]Ernesto Dufrechu, Federico Favre, Martín Pedemonte, Pedro Curto, Pablo Ezzatti:
Accelerating radiative heat transfer calculations on modern hardware. CLEI 2012: 1-9 - [c14]Peter Benner, Pablo Ezzatti, Enrique S. Quintana-Ortí, Alfredo Remón:
Unleashing CPU-GPU Acceleration for Control Theory Applications. Euro-Par Workshops 2012: 102-111 - [c13]Eduardo Fernández, Pablo Ezzatti, Sergio Nesmachnow, Gonzalo Besuievsky:
Low-rank Radiosity using Sparse Matrices. GRAPP/IVAPP 2012: 260-267 - [c12]Pablo Igounet, Pablo Alfaro, Gabriel Usera, Pablo Ezzatti:
GPU Acceleration of the caffa3d.MB Model. ICCSA (4) 2012: 530-542 - [c11]Peter Benner, Pablo Ezzatti, Enrique S. Quintana-Ortí, Alfredo Remón:
High Performance Implementations of the BST Method on Hybrid CPU-GPU Platforms. ISPA 2012: 662-668 - 2011
- [j3]Pablo Ezzatti, Mónica Fossati, Ismael Piedra-Cueva:
An efficient version of the RMA-11 model. CLEI Electron. J. 14(2) (2011) - [j2]Peter Benner, Pablo Ezzatti, Daniel Kressner, Enrique S. Quintana-Ortí, Alfredo Remón:
A mixed-precision algorithm for the solution of Lyapunov equations on hybrid CPU-GPU platforms. Parallel Comput. 37(8): 439-450 (2011) - [j1]Pablo Ezzatti, Enrique S. Quintana-Ortí, Alfredo Remón:
Using graphics processors to accelerate the computation of the matrix inverse. J. Supercomput. 58(3): 429-437 (2011) - [c10]Pablo Ezzatti, Enrique S. Quintana-Ortí, Alfredo Remón:
Efficient Model Order Reduction of Large-Scale Systems on Multi-core Platforms. ICCSA (5) 2011: 643-653 - [c9]Peter Benner, Enrique S. Quintana-Ortí, Pablo Ezzatti, Alfredo Remón:
High performance matrix inversion of SPD matrices on graphics processors. HPCS 2011: 640-646 - [c8]Pablo Ezzatti, Enrique S. Quintana-Ortí, Alfredo Remón:
High Performance Matrix Inversion on a Multi-core Platform with Several GPUs. PDP 2011: 87-93 - [c7]Peter Benner, Pablo Ezzatti, Enrique S. Quintana-Ortí, Alfredo Remón:
Accelerating BST Methods for Model Reduction with Graphics Processors. PPAM (1) 2011: 549-558 - [c6]Pablo Igounet, Pablo Alfaro, Martín Pedemonte, Pablo Ezzatti:
A GPU Implementation of the SIP Method. SCCC 2011: 195-201 - [c5]Pablo Alfaro, Pablo Igounet, Pablo Ezzatti:
A Study on the Implementation of Tridiagonal Systems Solvers Using a GPU. SCCC 2011: 219-227 - 2010
- [c4]Nicolas Soca, Jose Luis Blengio, Martín Pedemonte, Pablo Ezzatti:
PUGACE, a cellular Evolutionary Algorithm framework on GPUs. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c3]Peter Benner, Pablo Ezzatti, Daniel Kressner, Enrique S. Quintana-Ortí, Alfredo Remón:
Accelerating Model Reduction of Large Linear Systems with Graphics Processors. PARA (2) 2010: 88-97 - [c2]Santiago Cioli, Gonzalo Ordeix, Eduardo Fernández, Martín Pedemonte, Pablo Ezzatti:
Improving the Performance of a Ray Tracing Algorithm Using a GPU. SCCC 2010: 11-20
2000 – 2009
- 2009
- [c1]Peter Benner, Pablo Ezzatti, Enrique S. Quintana-Ortí, Alfredo Remón:
Using Hybrid CPU-GPU Platforms to Accelerate the Computation of the Matrix Sign Function. Euro-Par Workshops 2009: 132-139
Coauthor Index
Ernesto Dufrechu
aka: Ernesto Dufrechou
aka: Ernesto Dufrechou
[j33] [j32] [c73] [j31] [j30] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [j29] [j28] [j27] [j26] [c62] [c61] [c60] [c59] [j25] [c57] [c56] [c55] [j23] [j21] [j20] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c46] [c45] [c43] [c42] [c41] [j17] [j16] [j14] [c40] [c39] [c36] [j13] [j12] [c29] [c28] [j9] [c22] [c21] [c20] [c19] [j5] [c15]
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