Search Results - "Ezzatti, Pablo"

A GPU method for the analysis stage of the SPTRSV kernel by Freire, Manuel, Ferrand, Juan, Seveso, Franco, Dufrechou, Ernesto, Ezzatti, Pablo

“…The solution of sparse triangular linear systems of equations (SPTRSV) is often the main computational bottleneck of many numerical methods in science and…”
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Selecting optimal SpMV realizations for GPUs via machine learning by Dufrechou, Ernesto, Ezzatti, Pablo, Quintana-Ortí, Enrique S

“…More than 10 years of research related to the development of efficient GPU routines for the sparse matrix-vector product (SpMV) have led to several…”
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Optimizing the Performance of the Sparse Matrix–Vector Multiplication Kernel in FPGA Guided by the Roofline Model by Favaro, Federico, Dufrechou, Ernesto, Oliver, Juan P., Ezzatti, Pablo

“…The widespread adoption of massively parallel processors over the past decade has fundamentally transformed the landscape of high-performance computing…”
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Factorized solution of generalized stable Sylvester equations using many-core GPU accelerators by Benner, Peter, Dufrechou, Ernesto, Ezzatti, Pablo, Gallardo, Rodrigo, Quintana-Ortí, Enrique S.

“…We investigate the factorized solution of generalized stable Sylvester equations such as those arising in model reduction, image restoration, and observer…”
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Leveraging index compression techniques to optimize the use of co-processors by Freire, Manuel, Marichal, Raul, Martinez, Agustin, Padron, Daniel, Dufrechou, Ernesto, Ezzatti, Pablo

“…The significant presence that many-core devices like GPUs have these days, and their enormous computational power, motivates the study of sparse matrix…”
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Energy-efficient algebra kernels in FPGA for High Performance Computing by Favaro, Federico, Dufrechou, Ernesto, Ezzatti, Pablo, Oliver, Juan Pablo

“…The dissemination of multi-core architectures and the later irruption of massively parallel devices, led to a revolution in High-Performance Computing (HPC)…”
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Desarrollo del sistema de pronóstico del Río de la Plata y su Frente Marítimo: PronUy_RPFM by Balparda, Daniel, Sellanes, Lucas, Silva, Diego, Jackson, Michelle, Ezzatti, Pablo, Fossati, Mónica

“…En este trabajo se presentan las características del sistema global de pronóstico desarrollado para el Río de la Plata y Frente Marítimo, denominado…”
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Solving Matrix Equations on Multi-Core and Many-Core Architectures by Benner, Peter, Ezzatti, Pablo, Mena, Hermann, Quintana-Ortí, Enrique, Remón, Alfredo

“…We address the numerical solution of Lyapunov, algebraic and differential Riccati equations, via the matrix sign function, on platforms equipped with…”
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Using analysis information in the synchronization‐free GPU solution of sparse triangular systems by Dufrechou, Ernesto, Ezzatti, Pablo

“…Summary The solution of sparse triangular linear systems is one of the most important building blocks for a large number of science and engineering problems…”
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Trading Off Performance for Energy in Linear Algebra Operations with Applications in Control Theory by Benner, Peter, Ezzatti, Pablo, Quintana-Ortí, Enrique S., Remón, Alfredo

“…We analyze the performance-power-energy balance of a conventional Intel Xeon mul- ticore processor and two low-power architectures –an Intel Atom processor and…”
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An efficient version of the RMA-11 model by Ezzatti, Pablo, Fossati, Mónica, Piedra-Cueva, Ismael

“…RMA-11 is a numerical model widely used for studing the transport of constituents andwater quality in rivers and estuaries. When applied to large water systems…”
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Advancing on an efficient sparse matrix multiplication kernel for modern GPUs by Berger, Gonzalo, Freire, Manuel, Marini, Renzo, Dufrechou, Ernesto, Ezzatti, Pablo

“…Summary The sparse matrix multiplication (SpGeMM) increased its importance in the last years due to its data science and machine learning applications…”
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Tuning high-level synthesis SpMV kernels in Alveo FPGAs by Favaro, Federico, Dufrechou, Ernesto, Oliver, Juan P., Ezzatti, Pablo

“…Sparse Matrix-Vector Multiplication (SpMV) is an essential operation in scientific and engineering fields, with applications in areas like finite element…”
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Assessing the Performance of an Architecture-Aware Optimization Tool for Neural Networks by Marichal, Raul, Dufrechou, Ernesto, Ezzatti, Pablo

“…The important growth in the demand for Neural Network solutions has created an urgent need for efficient implementations across a wide array of environments…”
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Early Detection of Gearbox Damage, Development of ANN Forecast Maintenance Tool by Laguna, Rodrigo, Geremias, Nicolas, Mauiri, Diego, Alfonso, Julian, Chiruzzo, Luis, Ezzatti, Pablo, Gutierrez, Alejandro

“…Wind turbine maintenance management worldwide has received more attention, with efforts towards reducing the costs of maintenance and downtime. The kinetic…”
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Unleashing the computational power of FPGAs to efficiently perform SPMV operation by Favaro, Federico, Oliver, Juan Pablo, Ezzatti, Pablo

“…The sparse matrix vector product (SpMV) is a fundamental operation in multiple scientific algorithms, because it is generally the most computationally…”
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Machine learning for optimal selection of sparse triangular system solvers on GPUs by Dufrechou, Ernesto, Ezzatti, Pablo, Freire, Manuel, Quintana-Ortí, Enrique S.

“…•Using machine learning to select between several spTrsv realizations for GPUs.•Evaluation of different machine learning techniques, balancing accuracy and…”
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Avoiding Synchronization to Accelerate a CFD Solver in GPU by Dufrechou, Ernesto, Ezzatti, Pablo, Usera, Gabriel

“…The caffa3d.MBRi is an open source, GPU-aware, general purpose incompressible flow solver, aimed at providing a useful tool for numerical simulation of real…”
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An efficient implementation of the Min-Min heuristic by Ezzatti, Pablo, Pedemonte, Martín, Martín, Álvaro

“…Min—Min is a popular heuristic for scheduling tasks to heterogeneous computational resources, which has been applied either directly or as part of more…”
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A comparison of various schemes for solving the transport equation in many-core platforms by Bondarenco, Marcelo, Gamazo, Pablo, Ezzatti, Pablo

“…This paper addresses the resolution of the transport (advection–diffusion) equation in 3D by the use of the finite difference method as a discretization…”
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