Maria Barreda

17 papers B 1C 2Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2021 J jnl
Convolutional neural nets for estimating the run time and energy consumption of the sparse matrix-vector product.
Int. J. High Perform. Comput. Appl.
Maria Barreda, Manuel F. Dolz, M. Asunción Castaño
2020 J jnl
Iteration-fusing conjugate gradient for sparse linear systems with MPI + OmpSs.
J. Supercomput.
Maria Barreda, José Ignacio Aliaga, Vicenç Beltran, Marc Casas
2020 J jnl
Performance modeling of the sparse matrix-vector product via convolutional neural networks.
J. Supercomput.
Maria Barreda, Manuel F. Dolz, M. Asunción Castaño, Pedro Alonso-Jordá, Enrique S. Quintana-Ortí
2020 J jnl
Reproducibility of Parallel Preconditioned Conjugate Gradient in Hybrid Programming Environments.
CoRR
Roman Iakymchuk, Maria Barreda, Stef Graillat, José Ignacio Aliaga, Enrique S. Quintana-Ortí
2020 J jnl
Reproducibility strategies for parallel Preconditioned Conjugate Gradient.
J. Comput. Appl. Math.
Roman Iakymchuk, Maria Barreda, Matthias Wiesenberger, José Ignacio Aliaga, Enrique S. Quintana-Ortí
2019 J jnl
Energy-aware strategies for task-parallel sparse linear system solvers.
Concurr. Comput. Pract. Exp.
José Ignacio Aliaga, Maria Barreda, M. Asunción Castaño
2017 J jnl
Adapting concurrency throttling and voltage-frequency scaling for dense eigensolvers.
J. Supercomput.
José Ignacio Aliaga, Maria Barreda, M. Asunción Castaño, Manuel F. Dolz, Enrique S. Quintana-Ortí
2017 J jnl
Communication in task-parallel ILU-preconditioned CG solvers using MPI + OmpSs.
Concurr. Comput. Pract. Exp.
José Ignacio Aliaga, Maria Barreda, Goran Flegar, Matthias Bollhöfer, Enrique S. Quintana-Ortí
2016 J jnl
Characterizing the efficiency of multicore and manycore processors for the solution of sparse linear systems.
Comput. Sci. Res. Dev.
José Ignacio Aliaga, Maria Barreda, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí
2016 — conf
Exploiting Task-Parallelism in Message-Passing Sparse Linear System Solvers Using OmpSs.
Euro-Par
José Ignacio Aliaga, Maria Barreda, Matthias Bollhöfer, Enrique S. Quintana-Ortí
2016 J jnl
Exploiting task and data parallelism in ILUPACK's preconditioned CG solver on NUMA architectures and many-core accelerators.
Parallel Comput.
José Ignacio Aliaga, Rosa M. Badia, Maria Barreda, Matthias Bollhöfer, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Ortí
2015 J jnl
Are our dense linear algebra libraries energy-friendly?
Comput. Sci. Res. Dev.
José Ignacio Aliaga, Maria Barreda, Manuel F. Dolz, Enrique S. Quintana-Ortí
2014 J jnl
Assessing the impact of the CPU power-saving modes on the task-parallel solution of sparse linear systems.
Clust. Comput.
José Ignacio Aliaga, Maria Barreda, Manuel F. Dolz, Alberto F. Martín, Rafael Mayo, Enrique S. Quintana-Ortí
2014 J jnl
Automatic detection of power bottlenecks in parallel scientific applications.
Comput. Sci. Res. Dev.
Maria Barreda, Sandra Catalán, Manuel F. Dolz, Rafael Mayo, Enrique S. Quintana-Ortí
2014 C conf
Leveraging Task-Parallelism with OmpSs in ILUPACK's Preconditioned CG Method.
SBAC-PAD
José Ignacio Aliaga, Rosa M. Badia, Maria Barreda, Matthias Bollhöfer, Enrique S. Quintana-Ortí
2012 C conf
Binding Performance and Power of Dense Linear Algebra Operations.
ISPA
Maria Barreda, Manuel F. Dolz, Rafael Mayo, Enrique S. Quintana-Ortí, Ruymán Reyes
2012 B conf
Tools for Power-Energy Modelling and Analysis of Parallel Scientific Applications.
ICPP
Pedro Alonso, Rosa M. Badia, Jesús Labarta, Maria Barreda, Manuel F. Dolz, Rafael Mayo, Enrique S. Quintana-Ortí, Ruymán Reyes