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PABLO EZZATTI
Author Info
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Name
Affiliation
Papers
PABLO EZZATTI
Univ Republica, Fac Ingn, Inst Computac, Montevideo, Uruguay
66
Collaborators
Citations
PageRank
75
124
28.24
Referers
Referees
References
205
578
361
Search Limit
100
578
Publications (66 rows)
Collaborators (75 rows)
Referers (100 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
Factorized solution of generalized stable Sylvester equations using many-core GPU accelerators
0
0.34
2021
Understanding the Performance of Elementary NLA Kernels in FPGAs
0
0.34
2020
An asynchronous computation architecture for enhancing the performance of the Weather Research and Forecasting model
0
0.34
2020
Estimating the parallelism in the solution of sparse triangular linear systems
0
0.34
2020
Using analysis information in the synchronization‐free GPU solution of sparse triangular systems
1
0.38
2020
A GPU-aware mixed-precision solver for low-rank algebraic Riccati equations.
0
0.34
2019
An efficient GPU version of the preconditioned GMRES method
0
0.34
2019
Automatic Selection of Sparse Triangular Linear System Solvers on GPUs through Machine Learning Techniques
0
0.34
2019
Avoiding Synchronization to Accelerate a CFD Solver in GPU
0
0.34
2019
Accelerating the task/data-parallel version of ILUPACK’s BiCG in multi-CPU/GPU configurations
1
0.35
2019
Power-aware computing.
0
0.34
2019
A New Gpu Algorithm To Compute A Level Set-Based Analysis For The Parallel Solution Of Sparse Triangular Systems
1
0.37
2018
Task Parallelism in the WRF Model Through Computation Offloading to Many-Core Devices
0
0.34
2018
Extending ILUPACK with a Task-Parallel Version of BiCG for Dual-GPU Servers.
0
0.34
2018
Solving Sparse Triangular Linear Systems in Modern GPUs: A Synchronization-Free Algorithm
3
0.44
2018
A comparison of various schemes for solving the transport equation in many-core platforms.
0
0.34
2017
Extending the Gauss-Huard method for the solution of Lyapunov matrix equations and matrix inversion.
1
0.41
2017
Evaluating the NVIDIA Tegra Processor as a Low-Power Alternative for Sparse GPU Computations.
0
0.34
2017
Assessing Sparse Triangular Linear System Solvers on GPUs
2
0.43
2017
A VNS with Parallel Evaluation of Solutions for the Inverse Lighting Problem.
0
0.34
2017
Overcoming Memory-Capacity Constraints in the Use of ILUPACK on Graphics Processors
0
0.34
2017
Energy-aware solution of linear systems with many right hand sides.
1
0.38
2016
Unleashing the Graphic Processing Units-Based Version of NAMD.
0
0.34
2016
The Impact of Panel Factorization on the Gauss-Huard Algorithm for the Solution of Linear Systems on Modern Architectures.
0
0.34
2016
Taking advantage of HPC techniques in the operational forecast of the Río de la Plata
0
0.34
2016
Design of a Task-Parallel Version of ILUPACK for Graphics Processors.
0
0.34
2016
Balancing Energy and Performance in Dense Linear System Solvers for Hybrid ARM+GPU platforms.
0
0.34
2016
A Data-Parallel ILUPACK for Sparse General and Symmetric Indefinite Linear Systems.
0
0.34
2016
Accelerating an IEEE 802.11 a/g/p Transceiver in GNU Radio.
0
0.34
2016
Characterizing the efficiency of multicore and manycore processors for the solution of sparse linear systems
0
0.34
2016
Tuning the Blocksize for Dense Linear Algebra Factorization Routines with the Roofline Model.
0
0.34
2016
Exploiting Task and Data Parallelism in ILUPACK’s Preconditioned CG Solver on NUMA Architectures and Many-core Accelerators
5
0.46
2016
Exploring The Offload Execution Model In The Intel Xeon Phi Via Matrix Inversion
0
0.34
2015
Extending lyapack for the solution of band Lyapunov equations on hybrid CPU---GPU platforms
1
0.36
2015
Unleashing GPU acceleration for symmetric band linear algebra kernels and model reduction
0
0.34
2015
Painless Parallelism on Heterogeneous Hardware Leveraging the Functional Paradigm.
0
0.34
2015
Solving Dense Linear Systems With Hybrid Arm Plus Gpu Platforms
0
0.34
2015
Solving Linear Systems on the Intel Xeon-Phi Accelerator via the Gauss-Huard Algorithm.
1
0.37
2015
A factored variant of the Newton iteration for the solution of algebraic Riccati equations via the matrix sign function
0
0.34
2014
Leveraging Data-Parallelism in ILUPACK using Graphics Processors
3
0.53
2014
Accelerating Band Linear Algebra Operations on GPUs with Application in Model Reduction
4
0.59
2014
Another step to the full GPU implementation of the weather research and forecasting model
2
0.63
2014
Efficient symmetric band matrix-matrix multiplication on GPUs
1
0.37
2014
Trading Off Performance for Energy in Linear Algebra Operations with Applications in Control Theory
0
0.34
2014
On the Impact of Optimization on the Time-Power-Energy Balance of Dense Linear Algebra Factorizations.
4
0.50
2013
Accelerating the Lyapack library using GPUs
7
0.72
2013
Solving Matrix Equations On Multi-Core And Many-Core Architectures
2
0.41
2013
Matrix inversion on CPU-GPU platforms with applications in control theory.
15
1.12
2013
Exploiting Data- and Task-Parallelism in the Solution of Riccati Equations on Multicore Servers and GPUs.
0
0.34
2013
Towards a functional run-time for dense NLA domain
1
0.37
2013
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