Maria Barreda

Orcid: 0000-0002-8526-1140

According to our database1, Maria Barreda authored at least 17 papers between 2012 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2021
Convolutional neural nets for estimating the run time and energy consumption of the sparse matrix-vector product.
Int. J. High Perform. Comput. Appl., 2021

2020
Performance modeling of the sparse matrix-vector product via convolutional neural networks.
J. Supercomput., 2020

Iteration-fusing conjugate gradient for sparse linear systems with MPI + OmpSs.
J. Supercomput., 2020

Reproducibility strategies for parallel Preconditioned Conjugate Gradient.
J. Comput. Appl. Math., 2020

Reproducibility of Parallel Preconditioned Conjugate Gradient in Hybrid Programming Environments.
CoRR, 2020

2019
Energy-aware strategies for task-parallel sparse linear system solvers.
Concurr. Comput. Pract. Exp., 2019

2017
Adapting concurrency throttling and voltage-frequency scaling for dense eigensolvers.
J. Supercomput., 2017

Communication in task-parallel ILU-preconditioned CG solvers using MPI + OmpSs.
Concurr. Comput. Pract. Exp., 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

Exploiting Task-Parallelism in Message-Passing Sparse Linear System Solvers Using OmpSs.
Proceedings of the Euro-Par 2016: Parallel Processing, 2016

2015
Are our dense linear algebra libraries energy-friendly?
Comput. Sci. Res. Dev., 2015

2014
Automatic detection of power bottlenecks in parallel scientific applications.
Comput. Sci. Res. Dev., 2014

Assessing the impact of the CPU power-saving modes on the task-parallel solution of sparse linear systems.
Clust. Comput., 2014

Leveraging Task-Parallelism with OmpSs in ILUPACK's Preconditioned CG Method.
Proceedings of the 26th IEEE International Symposium on Computer Architecture and High Performance Computing, 2014

2012
Binding Performance and Power of Dense Linear Algebra Operations.
Proceedings of the 10th IEEE International Symposium on Parallel and Distributed Processing with Applications, 2012

Tools for Power-Energy Modelling and Analysis of Parallel Scientific Applications.
Proceedings of the 41st International Conference on Parallel Processing, 2012


  Loading...