Pieter Ghysels
Orcid: 0000-0002-5981-5234
According to our database1,
Pieter Ghysels
authored at least 31 papers
between 2011 and 2023.
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Bibliography
2023
ACM Trans. Math. Softw., September, 2023
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023
An effective preconditioning strategy for volume penalized incompressible/low Mach multiphase flow solvers.
J. Comput. Phys., 2023
Construction of Hierarchically Semi-Separable matrix Representation using Adaptive Johnson-Lindenstrauss Sketching.
CoRR, 2023
2022
Graph Partitioning and Sparse Matrix Ordering using Reinforcement Learning and Graph Neural Networks.
J. Mach. Learn. Res., 2022
Addressing Irregular Patterns of Matrix Computations on GPUs and Their Impact on Applications Powered by Sparse Direct Solvers.
Proceedings of the SC22: International Conference for High Performance Computing, 2022
GPTuneBand: Multi-task and Multi-fidelity Autotuning for Large-scale High Performance Computing Applications.
Proceedings of the 2022 SIAM Conference on Parallel Processing for Scientific Computing, 2022
Proceedings of the 2022 SIAM Conference on Parallel Processing for Scientific Computing, 2022
2021
SIAM J. Sci. Comput., 2021
Sparse Approximate Multifrontal Factorization with Butterfly Compression for High-Frequency Wave Equations.
SIAM J. Sci. Comput., 2021
CoRR, 2021
2020
Int. J. High Perform. Comput. Appl., 2020
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020
2019
Robust and Accurate Stopping Criteria for Adaptive Randomized Sampling in Matrix-Free Hierarchically Semiseparable Construction.
SIAM J. Sci. Comput., 2019
Improving strong scaling of the Conjugate Gradient method for solving large linear systems using global reduction pipelining.
CoRR, 2019
2018
CoRR, 2018
Proceedings of the Eighth SIAM Workshop on Combinatorial Scientific Computing, 2018
A Study of Clustering Techniques and Hierarchical Matrix Formats for Kernel Ridge Regression.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018
2017
A Robust Parallel Preconditioner for Indefinite Systems Using Hierarchical Matrices and Randomized Sampling.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017
2016
A Distributed-Memory Package for Dense Hierarchically Semi-Separable Matrix Computations Using Randomization.
ACM Trans. Math. Softw., 2016
An Efficient Multicore Implementation of a Novel HSS-Structured Multifrontal Solver Using Randomized Sampling.
SIAM J. Sci. Comput., 2016
2015
Modeling the Performance of Geometric Multigrid Stencils on Multicore Computer Architectures.
SIAM J. Sci. Comput., 2015
A multi-level preconditioned Krylov method for the efficient solution of algebraic tomographic reconstruction problems.
J. Comput. Appl. Math., 2015
An efficient multi-core implementation of a novel HSS-structured multifrontal solver using randomized sampling.
CoRR, 2015
Comparative Performance Analysis of Coarse Solvers for Algebraic Multigrid on Multicore and Manycore Architectures.
Proceedings of the Parallel Processing and Applied Mathematics, 2015
2014
Hiding global synchronization latency in the preconditioned Conjugate Gradient algorithm.
Parallel Comput., 2014
2013
Hiding Global Communication Latency in the GMRES Algorithm on Massively Parallel Machines.
SIAM J. Sci. Comput., 2013
2012
Improving the arithmetic intensity of multigrid with the help of polynomial smoothers.
Numer. Linear Algebra Appl., 2012
Proceedings of the Algorithms and Architectures for Parallel Processing, 2012
2011
Using Fast and Accurate Simulation to Explore Hardware/Software Trade-offs in the Multi-Core Era.
Proceedings of the Applications, Tools and Techniques on the Road to Exascale Computing, Proceedings of the conference ParCo 2011, 31 August, 2011