Pieter Ghysels

According to our database, Pieter Ghysels authored at least 34 papers between 2011 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Preventing mass loss in the standard level set method: New insights from variational analyses.

Kaustubh Khedkar, Amirreza Charchi Mamaghani, Pieter Ghysels, Neelesh A. Patankar, Amneet Pal Singh Bhalla

J. Comput. Phys., 2025

A graphics processing unit accelerated sparse direct solver and preconditioner with block low rank compression.

Lisa Claus, Pieter Ghysels, Wajih Halim Boukaram, Xiaoye Sherry Li

Int. J. High Perform. Comput. Appl., 2025

2024

Physics-Informed Heterogeneous Graph Neural Networks for DC Blocker Placement.

Hongwei Jin, Prasanna Balaprakash, Allen Zou, Pieter Ghysels, Aditi S. Krishnapriyan, Adam Mate, Arthur K. Barnes, Russell Bent

CoRR, 2024

2023

Sparse Approximate Multifrontal Factorization with Composite Compression Methods.

Lisa Claus, Pieter Ghysels, Yang Liu, Thái Anh Nhan, Ramakrishnan Thirumalaisamy, Amneet Pal Singh Bhalla, Xiaoye Sherry Li

ACM Trans. Math. Softw., September, 2023

VoxImp: Impedance Extraction Simulator for Voxelized Structures.

Mingyu Wang, Yang Liu, Pieter Ghysels, Abdulkadir C. Yucel

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023

An effective preconditioning strategy for volume penalized incompressible/low Mach multiphase flow solvers.

Ramakrishnan Thirumalaisamy, Kaustubh Khedkar, Pieter Ghysels, Amneet Pal Singh Bhalla

J. Comput. Phys., 2023

Construction of Hierarchically Semi-Separable matrix Representation using Adaptive Johnson-Lindenstrauss Sketching.

Yotam Yaniv, Osman Asif Malik, Pieter Ghysels, Xiaoye S. Li

CoRR, 2023

2022

High performance sparse multifrontal solvers on modern GPUs.

Pieter Ghysels, Ryan Synk

Parallel Comput., 2022

Graph Partitioning and Sparse Matrix Ordering using Reinforcement Learning and Graph Neural Networks.

Alice Gatti, Zhixiong Hu, Tess E. Smidt, Esmond G. Ng, Pieter Ghysels

J. Mach. Learn. Res., 2022

Addressing Irregular Patterns of Matrix Computations on GPUs and Their Impact on Applications Powered by Sparse Direct Solvers.

Ahmad Abdelfattah, Pieter Ghysels, Wajih Boukaram, Stanimire Tomov, Xiaoye Sherry Li, Jack J. Dongarra

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.

Xinran Zhu, Yang Liu, Pieter Ghysels, David Bindel, Xiaoye S. Li

Proceedings of the 2022 SIAM Conference on Parallel Processing for Scientific Computing, 2022

Deep Learning and Spectral Embedding for Graph Partitioning.

Alice Gatti, Zhixiong Hu, Tess E. Smidt, Esmond G. Ng, Pieter Ghysels

Proceedings of the 2022 SIAM Conference on Parallel Processing for Scientific Computing, 2022

2021

Butterfly Factorization Via Randomized Matrix-Vector Multiplications.

Yang Liu, Xin Xing, Han Guo, Eric Michielssen, Pieter Ghysels, Xiaoye Sherry Li

SIAM J. Sci. Comput., 2021

Sparse Approximate Multifrontal Factorization with Butterfly Compression for High-Frequency Wave Equations.

Yang Liu, Pieter Ghysels, Lisa Claus, Xiaoye Sherry Li

SIAM J. Sci. Comput., 2021

Graph Partitioning and Sparse Matrix Ordering using Reinforcement Learning.

Alice Gatti, Zhixiong Hu, Pieter Ghysels, Esmond G. Ng, Tess E. Smidt

CoRR, 2021

2020

A parallel hierarchical blocked adaptive cross approximation algorithm.

Yang Liu, Wissam M. Sid-Lakhdar, Elizaveta Rebrova, Pieter Ghysels, Xiaoye Sherry Li

Int. J. High Perform. Comput. Appl., 2020

Scalable and Memory-Efficient Kernel Ridge Regression.

Gustavo Chávez, Yang Liu, Pieter Ghysels, Xiaoye Sherry Li, Elizaveta Rebrova

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.

Christopher Gorman, Gustavo Chávez, Pieter Ghysels, Théo Mary, François-Henry Rouet, Xiaoye Sherry Li

SIAM J. Sci. Comput., 2019

Improving strong scaling of the Conjugate Gradient method for solving large linear systems using global reduction pipelining.

Siegfried Cools, Jeffrey Cornelis, Pieter Ghysels, Wim Vanroose

CoRR, 2019

2018

Matrix-free construction of HSS representation using adaptive randomized sampling.

Christopher Gorman, Gustavo Chávez, Pieter Ghysels, Théo Mary, François-Henry Rouet, Xiaoye Sherry Li

CoRR, 2018

Highly scalable distributed-memory sparse triangular solution algorithms.

Yang Liu, Mathias Jacquelin, Pieter Ghysels, Xiaoye S. Li

Proceedings of the Eighth SIAM Workshop on Combinatorial Scientific Computing, 2018

A Study of Clustering Techniques and Hierarchical Matrix Formats for Kernel Ridge Regression.

Elizaveta Rebrova, Gustavo Chavez, Yang Liu, Pieter Ghysels, Xiaoye Sherry Li

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.

Pieter Ghysels, Xiaoye Sherry Li, Christopher Gorman, François-Henry Rouet

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.

François-Henry Rouet, Xiaoye S. Li, Pieter Ghysels, Artem Napov

ACM Trans. Math. Softw., 2016

An Efficient Multicore Implementation of a Novel HSS-Structured Multifrontal Solver Using Randomized Sampling.

Pieter Ghysels, Xiaoye S. Li, François-Henry Rouet, Samuel Williams, Artem Napov

SIAM J. Sci. Comput., 2016

2015

Modeling the Performance of Geometric Multigrid Stencils on Multicore Computer Architectures.

Pieter Ghysels, Wim Vanroose

SIAM J. Sci. Comput., 2015

A multi-level preconditioned Krylov method for the efficient solution of algebraic tomographic reconstruction problems.

Siegfried Cools, Pieter Ghysels, Wim van Aarle, Jan Sijbers, Wim Vanroose

J. Comput. Appl. Math., 2015

An efficient multi-core implementation of a novel HSS-structured multifrontal solver using randomized sampling.

Pieter Ghysels, Xiaoye S. Li, François-Henry Rouet, Samuel Williams, Artem Napov

CoRR, 2015

Comparative Performance Analysis of Coarse Solvers for Algebraic Multigrid on Multicore and Manycore Architectures.

Alex Druinsky, Pieter Ghysels, Xiaoye S. Li, Osni Marques, Samuel Williams, Andrew T. Barker, Delyan Kalchev, Panayot S. Vassilevski

Proceedings of the Parallel Processing and Applied Mathematics, 2015

2014

Hiding global synchronization latency in the preconditioned Conjugate Gradient algorithm.

Pieter Ghysels, Wim Vanroose

Parallel Comput., 2014

2013

Hiding Global Communication Latency in the GMRES Algorithm on Massively Parallel Machines.

Pieter Ghysels, Thomas J. Ashby, Karl Meerbergen, Wim Vanroose

SIAM J. Sci. Comput., 2013

2012

Improving the arithmetic intensity of multigrid with the help of polynomial smoothers.

Pieter Ghysels, Przemyslaw Klosiewicz, Wim Vanroose

Numer. Linear Algebra Appl., 2012

The Impact of Global Communication Latency at Extreme Scales on Krylov Methods.

Thomas J. Ashby, Pieter Ghysels, Wim Heirman, Wim Vanroose

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.

Wim Heirman, Trevor E. Carlson, Souradip Sarkar, Pieter Ghysels, Wim Vanroose, Lieven Eeckhout

Proceedings of the Applications, Tools and Techniques on the Road to Exascale Computing, Proceedings of the conference ParCo 2011, 31 August, 2011