Pablo Ezzatti

发表

Low-rank Radiosity using Sparse Matrices

Eduardo Fernández, Pablo Ezzatti, Sergio Nesmachnow, 2016, GRAPP/IVAPP.

Unleashing the Graphic Processing Units-Based Version of NAMD

Pablo Ezzatti, Yamandú González, Margot Paulino, 2016, IWBBIO.

Extending ILUPACK with a Task-Parallel Version of BiCG for Dual-GPU Servers

Enrique S. Quintana-Ortí, Pablo Ezzatti, José Ignacio Aliaga, 2018, PMAM@PPoPP.

Improving the Performance of a Ray Tracing Algorithm Using a GPU

Martín Pedemonte, Eduardo Fernández, Pablo Ezzatti, 2010, 2010 XXIX International Conference of the Chilean Computer Science Society.

Accelerating the task/data-parallel version of ILUPACK's BiCG in multi-CPU/GPU configurations

Enrique S. Quintana-Ortí, Pablo Ezzatti, José Ignacio Aliaga, 2019, Parallel Comput..

Taking advantage of HPC techniques in the operational forecast of the Río de la Plata

Pablo Ezzatti, Ernesto Dufrechu, Rodrigo Baya, 2016, 2016 XLII Latin American Computing Conference (CLEI).

Accelerating the Lyapack library using GPUs

Enrique S. Quintana-Ortí, Pablo Ezzatti, Ernesto Dufrechu, 2013, The Journal of Supercomputing.

A GPU‐aware mixed‐precision solver for low‐rank algebraic Riccati equations

Peter Benner, Pablo Ezzatti, Jens Saak, 2019, Concurr. Comput. Pract. Exp..

Avoiding Synchronization to Accelerate a CFD Solver in GPU

Pablo Ezzatti, Gabriel Usera, Ernesto Dufrechu, 2019, 2019 31st International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD).

Using analysis information in the synchronization‐free GPU solution of sparse triangular systems

Pablo Ezzatti, Ernesto Dufrechu, 2020, Concurr. Comput. Pract. Exp..

Leveraging Data-Parallelism in ILUPACK using Graphics Processors

Enrique S. Quintana-Ortí, Pablo Ezzatti, José Ignacio Aliaga, 2014, 2014 IEEE 13th International Symposium on Parallel and Distributed Computing.

A Parallel Multi-threaded Solver for Symmetric Positive Definite Bordered-Band Linear Systems

Enrique S. Quintana-Ortí, Peter Benner, Pablo Ezzatti, 2015, PPAM.

A mixed-precision algorithm for the solution of Lyapunov equations on hybrid CPU-GPU platforms

Enrique S. Quintana-Ortí, Daniel Kressner, Peter Benner, 2009 .

Extending lyapack for the solution of band Lyapunov equations on hybrid CPU–GPU platforms

Enrique S. Quintana-Ortí, Peter Benner, Pablo Ezzatti, 2015, The Journal of Supercomputing.

A Study on the Implementation of Tridiagonal Systems Solvers Using a GPU

Pablo Ezzatti, Pablo Alfaro, Pablo Igounet, 2011, 2011 30th International Conference of the Chilean Computer Science Society.

Efficient Symmetric Band Matrix-Matrix Multiplication on GPUs

Enrique S. Quintana-Ortí, Pablo Ezzatti, Ernesto Dufrechu, 2014, CARLA.

Una versión paralela del NSGA II utilizando multi-threads

Pablo Ezzatti, Pablo Ezzatti, 2004 .

Accelerating the general band matrix multiplication using graphics processors

Enrique S. Quintana-Ortí, Peter Benner, Pablo Ezzatti, 2014, 2014 XL Latin American Computing Conference (CLEI).

GPU Acceleration of the caffa3d.MB Model

Pablo Ezzatti, Gabriel Usera, Pablo Alfaro, 2012, ICCSA.

Accelerating BST Methods for Model Reduction with Graphics Processors

Enrique S. Quintana-Ortí, Peter Benner, Pablo Ezzatti, 2011, PPAM.

Solving Sparse Triangular Linear Systems in Modern GPUs: A Synchronization-Free Algorithm

Pablo Ezzatti, Ernesto Dufrechu, P. Ezzatti, 2018, 2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP).

A VNS with Parallel Evaluation of Solutions for the Inverse Lighting Problem

Martín Pedemonte, Eduardo Fernández, Pablo Ezzatti, 2017, EvoApplications.

Solving Matrix Equations on Multi-Core and Many-Core Architectures

Enrique S. Quintana-Ortí, Peter Benner, Pablo Ezzatti, 2013, Algorithms.

A comparison of various schemes for solving the transport equation in many-core platforms

Pablo Ezzatti, Pablo Gamazo, Marcelo Bondarenco, 2016, The Journal of Supercomputing.

Solving Sparse Differential Riccati Equations on Hybrid CPU-GPU Platforms

Enrique S. Quintana-Ortí, Peter Benner, Pablo Ezzatti, 2017, ICCSA.

Unleashing CPU-GPU Acceleration for Control Theory Applications

Enrique S. Quintana-Ortí, Peter Benner, Pablo Ezzatti, 2012, Euro-Par Workshops.

Painless Parallelism on Heterogeneous Hardware Leveraging the Functional Paradigm

Pablo Ezzatti, Alberto Pardo, Marcos Viera, 2015, 2015 International Symposium on Computer Architecture and High Performance Computing Workshop (SBAC-PADW).

Solving dense linear systems with hybrid ARM+GPU platforms

Enrique S. Quintana-Ortí, Peter Benner, Pablo Ezzatti, 2015, 2015 Latin American Computing Conference (CLEI).

Exploiting Data- and Task-Parallelism in the Solution of Riccati Equations on Multicore Servers and GPUs

Enrique S. Quintana-Ortí, Peter Benner, Pablo Ezzatti, 2013, PARCO.

An efficient version of the RMA-11 model

Pablo Ezzatti, Mónica Fossati, Ismael Piedra-Cueva, 2011, CLEI Electron. J..

Towards a Lightweight Method to Predict the Performance of Sparse Triangular Solvers on Heterogeneous Hardware Platforms

Pablo Ezzatti, Ernesto Dufrechu, Raúl Marichal, 2019, CARLA.

A New GPU Algorithm to Compute a Level Set-Based Analysis for the Parallel Solution of Sparse Triangular Systems

Pablo Ezzatti, Ernesto Dufrechu, P. Ezzatti, 2018, 2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS).

Evaluating the NVIDIA Tegra Processor as a Low-Power Alternative for Sparse GPU Computations

Enrique S. Quintana-Ortí, Pablo Ezzatti, José Ignacio Aliaga, 2017, CARLA.

Power‐aware computing

Enrique S. Quintana-Ortí, Pablo Ezzatti, Jens Saak, 2019, Concurr. Comput. Pract. Exp..

Characterizing the efficiency of multicore and manycore processors for the solution of sparse linear systems

Enrique S. Quintana-Ortí, Pablo Ezzatti, José Ignacio Aliaga, 2015, Computer Science - Research and Development.

Efficient Model Order Reduction of Large-Scale Systems on Multi-core Platforms

Enrique S. Quintana-Ortí, Pablo Ezzatti, Alfredo Remón, 2011, ICCSA.

Matrix inversion on CPU–GPU platforms with applications in control theory

Enrique S. Quintana-Ortí, Peter Benner, Pablo Ezzatti, 2013, Concurr. Comput. Pract. Exp..

Overview of HPC benchmarks in hybrid hardware platforms (CPUs+GPUs)

Martín Pedemonte, Pablo Ezzatti, Danilo Espino, 2016, 2016 XLII Latin American Computing Conference (CLEI).

An asynchronous computation architecture for enhancing the performance of the Weather Research and Forecasting model

Pablo Ezzatti, Rodrigo Baya, Martín Pedemonte, 2020, Concurr. Comput. Pract. Exp..

Understanding the Performance of Elementary NLA Kernels in FPGAs

Pablo Ezzatti, Ernesto Dufrechu, Juan P. Oliver, 2020, 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).

Accelerating the quality measurement of DNA with GPUs

Lorena Etcheverry, Pablo Ezzatti, Gonzalo Javiel, 2016, 2016 35th International Conference of the Chilean Computer Science Society (SCCC).

Trading Off Performance for Energy in Linear Algebra Operations with Applications in Control Theory

Enrique S. Quintana-Ortí, Peter Benner, Pablo Ezzatti, 2014, CLEI Electron. J..

Accelerating the Calculation of Friedman Test Tables on Many-Core Processors

Pablo Ezzatti, Ernesto Dufrechu, Martín Pedemonte, 2019, CARLA.

Towards a finite volume model on a many-core platform

Pablo Ezzatti, Gabriel Usera, Pablo Alfaro, 2012, Int. J. High Perform. Syst. Archit..

Accelerating the resolution of generalized Lyapunov matrix equations on hybrid architectures

Pablo Ezzatti, Hermann Mena, Rodrigo Baya, 2016, 2016 International Conference on High Performance Computing & Simulation (HPCS).

Towards a Distributed GPU-Accelerated Matrix Inversion

Enrique S. Quintana-Ortí, Pablo Ezzatti, Gerardo Ares, 2013 .

The Impact of Panel Factorization on the Gauss-Huard Algorithm for the Solution of Linear Systems on Modern Architectures

Enrique S. Quintana-Ortí, Pablo Ezzatti, Sandra Catalán, 2016, ICA3PP.

An efficient GPU version of the preconditioned GMRES method

Enrique S. Quintana-Ortí, Pablo Ezzatti, José Ignacio Aliaga, 2018, The Journal of Supercomputing.

Energy-aware solution of linear systems with many right hand sides

Pablo Ezzatti, Carolin Penke, Jens Saak, 2016, Computer Science - Research and Development.

High Performance Implementations of the BST Method on Hybrid CPU-GPU Platforms

Enrique S. Quintana-Ortí, Peter Benner, Pablo Ezzatti, 2012, 2012 IEEE 10th International Symposium on Parallel and Distributed Processing with Applications.

Design of a Task-Parallel Version of ILUPACK for Graphics Processors

Enrique S. Quintana-Ortí, Pablo Ezzatti, José Ignacio Aliaga, 2016, CARLA.

Towards a functional run-time for dense NLA domain

Pablo Ezzatti, Alberto Pardo, Marcos Viera, 2013, FHPC '13.

Balancing Energy and Performance in Dense Linear System Solvers for Hybrid ARM+GPU platforms

Enrique S. Quintana-Ortí, Peter Benner, Pablo Ezzatti, 2016, CLEI Electron. J..

On the Impact of Optimization on the Time-Power-Energy Balance of Dense Linear Algebra Factorizations

Enrique S. Quintana-Ortí, Peter Benner, Pablo Ezzatti, 2013, ICA3PP.

HPC en simulación y control a gran escala

Enrique S. Quintana-Ortí, Peter Benner, Pablo Ezzatti, 2013 .

Assessing Sparse Triangular Linear System Solvers on GPUs

Pablo Ezzatti, Ernesto Dufrechu, Daniel Erguiz, 2017, 2017 International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW).

Assessing the explicit finite difference method on a massive parallel platform

Pablo Ezzatti, Pablo Gamazo, Marcelo Bondarenco, 2016, 2016 XLII Latin American Computing Conference (CLEI).

Exploring the Offload Execution Model in the Intel Xeon Phi via Matrix Inversion

Enrique S. Quintana-Ortí, Peter Benner, Pablo Ezzatti, 2015, PARCO.

Extending the Gauss–Huard method for the solution of Lyapunov matrix equations and matrix inversion

Enrique S. Quintana-Ortí, Peter Benner, Pablo Ezzatti, 2017, Concurr. Comput. Pract. Exp..

Exploring fpga Optimizations to Compute Sparse Numerical Linear Algebra Kernels

Pablo Ezzatti, Ernesto Dufrechu, Juan P. Oliver, 2020, ARC.

Accelerating radiative heat transfer calculations on modern hardware

Martín Pedemonte, Pablo Ezzatti, Ernesto Dufrechu, 2012, 2012 XXXVIII Conferencia Latinoamericana En Informatica (CLEI).

Estimating the parallelism in the solution of sparse triangular linear systems

Pablo Ezzatti, Ernesto Dufrechu, Eduardo González, 2020, 2020 39th International Conference of the Chilean Computer Science Society (SCCC).

Trading Off Performance for Energy in Linear Algebra Operations with Applications in Control Theory

Enrique S. Quintana-Ortí, Peter Benner, Pablo Ezzatti, 2014, CLEI Electron. J..

Automatic Selection of Sparse Triangular Linear System Solvers on GPUs through Machine Learning Techniques

Enrique S. Quintana-Ortí, Pablo Ezzatti, Ernesto Dufrechu, 2019, 2019 31st International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD).

Overcoming Memory-Capacity Constraints in the Use of ILUPACK on Graphics Processors

Enrique S. Quintana-Ortí, Pablo Ezzatti, José Ignacio Aliaga, 2017, 2017 29th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD).

Another step to the full GPU implementation of the weather research and forecasting model

Martín Pedemonte, Pablo Ezzatti, Ernesto Dufrechu, 2014, The Journal of Supercomputing.

An efficient implementation of the Min-Min heuristic

Martín Pedemonte, Pablo Ezzatti, Alvaro Martín, 2013, Comput. Oper. Res..

Accelerating Band Linear Algebra Operations on GPUs with Application in Model Reduction

Enrique S. Quintana-Ortí, Peter Benner, Pablo Ezzatti, 2014, ICCSA.

High Performance Matrix Inversion on a Multi-core Platform with Several GPUs

Enrique S. Quintana-Ortí, Pablo Ezzatti, Alfredo Remón, 2011, 2011 19th International Euromicro Conference on Parallel, Distributed and Network-Based Processing.

Trading Off Performance for Power-Energy in Dense Linear Algebra Operations

Enrique S. Quintana-Ortí, Peter Benner, Pablo Ezzatti, 2013, HiPC 2013.

Unleashing GPU acceleration for symmetric band linear algebra kernels and model reduction

Enrique S. Quintana-Ortí, Peter Benner, Pablo Ezzatti, 2015, Cluster Computing.

Accelerating Model Reduction of Large Linear Systems with Graphics Processors

Enrique S. Quintana-Ortí, Daniel Kressner, Peter Benner, 2010, PARA.

High performance matrix inversion of SPD matrices on graphics processors

Enrique S. Quintana-Ortí, Peter Benner, Pablo Ezzatti, 2011, 2011 International Conference on High Performance Computing & Simulation.

Exploiting task and data parallelism in ILUPACK's preconditioned CG solver on NUMA architectures and many-core accelerators

Enrique S. Quintana-Ortí, Pablo Ezzatti, Rosa M. Badia, 2016, Parallel Comput..

A factored variant of the Newton iteration for the solution of algebraic Riccati equations via the matrix sign function

Enrique S. Quintana-Ortí, Peter Benner, Pablo Ezzatti, 2013, Numerical Algorithms.

Improving the Solution of Band Linear Systems on Hybrid CPU+GPU Platforms

Enrique S. Quintana-Ortí, Pablo Ezzatti, Alfredo Remón, 2014 .

A GPU Implementation of the SIP Method

Martín Pedemonte, Pablo Ezzatti, Pablo Alfaro, 2011, 2011 30th International Conference of the Chilean Computer Science Society.

Extending ILUPACK with a GPU Version of the BiCGStab Method

Enrique S. Quintana-Ortí, Pablo Ezzatti, José Ignacio Aliaga, 2018, 2018 XLIV Latin American Computer Conference (CLEI).

Revisiting the Gauss-Huard Algorithm for the Solution of Linear Systems on Graphics Accelerators

Enrique S. Quintana-Ortí, Peter Benner, Pablo Ezzatti, 2015, PPAM.

Improving the performance of the matrix inversion on a Tesla GPU

Enrique S. Quintana-Ortí, Pablo Ezzatti, Alfredo Remón, 2010 .

Accelerating the Min-Min Heuristic

Martín Pedemonte, Pablo Ezzatti, Alvaro Martín, 2015, PPAM.

Tuning the Blocksize for Dense Linear Algebra Factorization Routines with the Roofline Model

Enrique S. Quintana-Ortí, Peter Benner, Pablo Ezzatti, 2016, ICA3PP Workshops.

Accelerating an IEEE 802.11 a/g/p Transceiver in GNU Radio

Eduardo Grampín, Matias Richart, Pablo Ezzatti, 2016, LANC.

Solving Linear Systems on the Intel Xeon-Phi Accelerator via the Gauss-Huard Algorithm

Enrique S. Quintana-Ortí, Pablo Ezzatti, Ernesto Dufrechu, 2015, CARLA.

Using graphics processors to accelerate the computation of the matrix inverse

Enrique S. Quintana-Ortí, Pablo Ezzatti, E. S. Quintana-Ortí, 2011, The Journal of Supercomputing.

Task Parallelism in the WRF Model Through Computation Offloading to Many-Core Devices

Martín Pedemonte, Pablo Ezzatti, Rodrigo Baya, 2018, 2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP).

A Data-Parallel ILUPACK for Sparse General and Symmetric Indefinite Linear Systems

Enrique S. Quintana-Ortí, Pablo Ezzatti, José Ignacio Aliaga, 2016, Euro-Par Workshops.

Using Hybrid CPU-GPU Platforms to Accelerate the Computation of the Matrix Sign Function

Enrique S. Quintana-Ortí, Peter Benner, Pablo Ezzatti, 2009, Euro-Par Workshops.

Machine learning for optimal selection of sparse triangular system solvers on GPUs

Enrique S. Quintana-Ortí, Pablo Ezzatti, Ernesto Dufrechu, 2021, J. Parallel Distributed Comput..

Assessing the solution of one sparse triangular linear system on multi-many core platforms

Pablo Ezzatti, Ernesto Dufrechu, Raúl Marichal, 2021, 2021 XLVII Latin American Computing Conference (CLEI).

Proximity tracing applications for COVID-19: data privacy and security

Pablo Ezzatti, Gustavo Betarte, Juan Diego Campo, 2021, 2021 XLVII Latin American Computing Conference (CLEI).

Optimizing Sparse Matrix Storage for the Big Data Era

Pablo Ezzatti, Ernesto Dufrechu, Raúl Marichal, 2021, JCC-BD&ET.

Factorized solution of generalized stable Sylvester equations using many-core GPU accelerators

Enrique S. Quintana-Ortí, Peter Benner, Pablo Ezzatti, 2021, The Journal of Supercomputing.

Unleashing the performance of bmSparse for the sparse matrix multiplication in GPUs

Pablo Ezzatti, Ernesto Dufrechu, Manuel Freire, 2021, 2021 12th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (ScalA).

Improving the performance of graph database queries using linear algebra operations

Lorena Etcheverry, Pablo Ezzatti, Bruno Amaral, 2021, 2021 XLVII Latin American Computing Conference (CLEI).

Unleashing the computational power of FPGAs to efficiently perform SPMV operation

Pablo Ezzatti, Juan Pablo Oliver, Federico Favaro, 2021, 2021 40th International Conference of the Chilean Computer Science Society (SCCC).

Selecting optimal SpMV realizations for GPUs via machine learning

Pablo Ezzatti, Ernesto Dufrechou, Enrique S Quintana-Ortí, 2021, Int. J. High Perform. Comput. Appl..

Solving Differential Riccati Equations on Multi-GPU Platforms

Enrique S. Quintana-Ortí, Peter Benner, Pablo Ezzatti, 2011 .

PUGACE, a cellular Evolutionary Algorithm framework on GPUs

Martín Pedemonte, Pablo Ezzatti, P. Ezzatti, 2010, IEEE Congress on Evolutionary Computation.