Ernesto Dufrechu

According to our database1, Ernesto Dufrechu authored at least 35 papers between 2012 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2020
Using analysis information in the synchronization-free GPU solution of sparse triangular systems.
Concurr. Comput. Pract. Exp., 2020

Understanding the Performance of Elementary NLA Kernels in FPGAs.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

Exploring fpga Optimizations to Compute Sparse Numerical Linear Algebra Kernels.
Proceedings of the Applied Reconfigurable Computing. Architectures, Tools, and Applications, 2020

2019
An efficient GPU version of the preconditioned GMRES method.
J. Supercomput., 2019

Accelerating the task/data-parallel version of ILUPACK's BiCG in multi-CPU/GPU configurations.
Parallel Comput., 2019

A GPU-aware mixed-precision solver for low-rank algebraic Riccati equations.
Concurr. Comput. Pract. Exp., 2019

Avoiding Synchronization to Accelerate a CFD Solver in GPU.
Proceedings of the 31st International Symposium on Computer Architecture and High Performance Computing, 2019

Automatic Selection of Sparse Triangular Linear System Solvers on GPUs through Machine Learning Techniques.
Proceedings of the 31st International Symposium on Computer Architecture and High Performance Computing, 2019

Towards a Lightweight Method to Predict the Performance of Sparse Triangular Solvers on Heterogeneous Hardware Platforms.
Proceedings of the High Performance Computing - 6th Latin American Conference, 2019

Accelerating the Calculation of Friedman Test Tables on Many-Core Processors.
Proceedings of the High Performance Computing - 6th Latin American Conference, 2019

2018
Extending ILUPACK with a Task-Parallel Version of BiCG for Dual-GPU Servers.
Proceedings of the 9th International Workshop on Programming Models and Applications for Multicores and Manycores, 2018

Solving Sparse Triangular Linear Systems in Modern GPUs: A Synchronization-Free Algorithm.
Proceedings of the 26th Euromicro International Conference on Parallel, 2018

A New GPU Algorithm to Compute a Level Set-Based Analysis for the Parallel Solution of Sparse Triangular Systems.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

Extending ILUPACK with a GPU Version of the BiCGStab Method.
Proceedings of the XLIV Latin American Computer Conference, 2018

2017
Assessing Sparse Triangular Linear System Solvers on GPUs.
Proceedings of the 2017 International Symposium on Computer Architecture and High Performance Computing Workshops, 2017

Overcoming Memory-Capacity Constraints in the Use of ILUPACK on Graphics Processors.
Proceedings of the 29th International Symposium on Computer Architecture and High Performance Computing, 2017

Solving Sparse Differential Riccati Equations on Hybrid CPU-GPU Platforms.
Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017

Evaluating the NVIDIA Tegra Processor as a Low-Power Alternative for Sparse GPU Computations.
Proceedings of the High Performance Computing - 4th Latin American Conference, 2017

2016
Exploiting task and data parallelism in ILUPACK's preconditioned CG solver on NUMA architectures and many-core accelerators.
Parallel Comput., 2016

Characterizing the efficiency of multicore and manycore processors for the solution of sparse linear systems.
Comput. Sci. Res. Dev., 2016

Balancing Energy and Performance in Dense Linear System Solvers for Hybrid ARM+GPU platforms.
CLEI Electron. J., 2016

A Data-Parallel ILUPACK for Sparse General and Symmetric Indefinite Linear Systems.
Proceedings of the Euro-Par 2016: Parallel Processing Workshops, 2016

Taking advantage of HPC techniques in the operational forecast of the Río de la Plata.
Proceedings of the XLII Latin American Computing Conference, 2016

Design of a Task-Parallel Version of ILUPACK for Graphics Processors.
Proceedings of the High Performance Computing - Third Latin American Conference, 2016

2015
Extending lyapack for the solution of band Lyapunov equations on hybrid CPU-GPU platforms.
J. Supercomput., 2015

Unleashing GPU acceleration for symmetric band linear algebra kernels and model reduction.
Clust. Comput., 2015

Solving dense linear systems with hybrid ARM+GPU platforms.
Proceedings of the 2015 Latin American Computing Conference, 2015

Solving Linear Systems on the Intel Xeon-Phi Accelerator via the Gauss-Huard Algorithm.
Proceedings of the High Performance Computing - Second Latin American Conference, 2015

2014
Another step to the full GPU implementation of the weather research and forecasting model.
J. Supercomput., 2014

Leveraging Data-Parallelism in ILUPACK using Graphics Processors.
Proceedings of the IEEE 13th International Symposium on Parallel and Distributed Computing, 2014

Accelerating Band Linear Algebra Operations on GPUs with Application in Model Reduction.
Proceedings of the Computational Science and Its Applications - ICCSA 2014 - 14th International Conference, Guimarães, Portugal, June 30, 2014

Accelerating the general band matrix multiplication using graphics processors.
Proceedings of the XL Latin American Computing Conference, 2014

Efficient Symmetric Band Matrix-Matrix Multiplication on GPUs.
Proceedings of the High Performance Computing - First HPCLATAM, 2014

2013
Accelerating the Lyapack library using GPUs.
J. Supercomput., 2013

2012
Accelerating radiative heat transfer calculations on modern hardware.
Proceedings of the 2012 XXXVIII Conferencia Latinoamericana En Informatica (CLEI), 2012


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