Pieter Ghysels

42 papers A 3Journal 31Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
A graphics processing unit accelerated sparse direct solver and preconditioner with block low rank compression.
Int. J. High Perform. Comput. Appl.
Lisa Claus, Pieter Ghysels, Wajih Halim Boukaram, Xiaoye Sherry Li
2025 — conf
Adaptive Sketching Based Construction of H2 Matrices on GPUs.
IPDPS (Workshops)
Wajih Halim Boukaram, Yang Liu, Pieter Ghysels, Xiaoye Sherry Li
2025 J jnl
Adaptive Sketching Based Construction of H2 Matrices on GPUs.
CoRR
Wajih Halim Boukaram, Yang Liu, Pieter Ghysels, Xiaoye Sherry Li
2025 J jnl
Preventing mass loss in the standard level set method: New insights from variational analyses.
J. Comput. Phys.
Kaustubh Khedkar, Amirreza Charchi Mamaghani, Pieter Ghysels, Neelesh A. Patankar, Amneet Pal Singh Bhalla
2024 J jnl
Physics-Informed Heterogeneous Graph Neural Networks for DC Blocker Placement.
CoRR
Hongwei Jin, Prasanna Balaprakash, Allen Zou, Pieter Ghysels, Aditi S. Krishnapriyan, Adam Mate, Arthur K. Barnes, Russell Bent
2023 J jnl
An effective preconditioning strategy for volume penalized incompressible/low Mach multiphase flow solvers.
CoRR
Ramakrishnan Thirumalaisamy, Kaustubh Khedkar, Pieter Ghysels, Amneet Pal Singh Bhalla
2023 J jnl
An effective preconditioning strategy for volume penalized incompressible/low Mach multiphase flow solvers.
J. Comput. Phys.
Ramakrishnan Thirumalaisamy, Kaustubh Khedkar, Pieter Ghysels, Amneet Pal Singh Bhalla
2023 J jnl
Construction of Hierarchically Semi-Separable matrix Representation using Adaptive Johnson-Lindenstrauss Sketching.
CoRR
Yotam Yaniv, Osman Asif Malik, Pieter Ghysels, Xiaoye S. Li
2023 J jnl
Sparse Approximate Multifrontal Factorization with Composite Compression Methods.
ACM Trans. Math. Softw.
Lisa Claus, Pieter Ghysels, Yang Liu, Thái Anh Nhan, Ramakrishnan Thirumalaisamy, Amneet Pal Singh Bhalla, Xiaoye Sherry Li
2023 J jnl
VoxImp: Impedance Extraction Simulator for Voxelized Structures.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Mingyu Wang, Yang Liu, Pieter Ghysels, Abdulkadir C. Yucel
2022 A conf
Addressing Irregular Patterns of Matrix Computations on GPUs and Their Impact on Applications Powered by Sparse Direct Solvers.
SC
Ahmad Abdelfattah, Pieter Ghysels, Wajih Boukaram, Stanimire Tomov, Xiaoye Sherry Li, Jack J. Dongarra
2022 — conf
Deep Learning and Spectral Embedding for Graph Partitioning.
PP
Alice Gatti, Zhixiong Hu, Tess E. Smidt, Esmond G. Ng, Pieter Ghysels
2022 — conf
GPTuneBand: Multi-task and Multi-fidelity Autotuning for Large-scale High Performance Computing Applications.
PP
Xinran Zhu, Yang Liu, Pieter Ghysels, David Bindel, Xiaoye S. Li
2022 J jnl
Graph Partitioning and Sparse Matrix Ordering using Reinforcement Learning and Graph Neural Networks.
J. Mach. Learn. Res.
Alice Gatti, Zhixiong Hu, Tess E. Smidt, Esmond G. Ng, Pieter Ghysels
2022 J jnl
High performance sparse multifrontal solvers on modern GPUs.
Parallel Comput.
Pieter Ghysels, Ryan Synk
2021 J jnl
Butterfly Factorization Via Randomized Matrix-Vector Multiplications.
SIAM J. Sci. Comput.
Yang Liu, Xin Xing, Han Guo, Eric Michielssen, Pieter Ghysels, Xiaoye Sherry Li
2021 J jnl
Deep Learning and Spectral Embedding for Graph Partitioning.
CoRR
Alice Gatti, Zhixiong Hu, Tess E. Smidt, Esmond G. Ng, Pieter Ghysels
2021 J jnl
Graph Partitioning and Sparse Matrix Ordering using Reinforcement Learning.
CoRR
Alice Gatti, Zhixiong Hu, Pieter Ghysels, Esmond G. Ng, Tess E. Smidt
2021 J jnl
Sparse Approximate Multifrontal Factorization with Butterfly Compression for High-Frequency Wave Equations.
SIAM J. Sci. Comput.
Yang Liu, Pieter Ghysels, Lisa Claus, Xiaoye Sherry Li
2020 J jnl
A parallel hierarchical blocked adaptive cross approximation algorithm.
Int. J. High Perform. Comput. Appl.
Yang Liu, Wissam M. Sid-Lakhdar, Elizaveta Rebrova, Pieter Ghysels, Xiaoye Sherry Li
2020 J jnl
Butterfly factorization via randomized matrix-vector multiplications.
CoRR
Yang Liu, Xin Xing, Han Guo, Eric Michielssen, Pieter Ghysels, Xiaoye Sherry Li
2020 A conf
Scalable and Memory-Efficient Kernel Ridge Regression.
IPDPS
Gustavo Chávez, Yang Liu, Pieter Ghysels, Xiaoye Sherry Li, Elizaveta Rebrova
2020 J jnl
Sparse Approximate Multifrontal Factorization with Butterfly Compression for High Frequency Wave Equations.
CoRR
Yang Liu, Pieter Ghysels, Lisa Claus, Xiaoye Sherry Li
2019 J jnl
Improving strong scaling of the Conjugate Gradient method for solving large linear systems using global reduction pipelining.
CoRR
Siegfried Cools, Jeffrey Cornelis, Pieter Ghysels, Wim Vanroose
2019 J jnl
Robust and Accurate Stopping Criteria for Adaptive Randomized Sampling in Matrix-Free Hierarchically Semiseparable Construction.
SIAM J. Sci. Comput.
Christopher Gorman, Gustavo Chávez, Pieter Ghysels, Théo Mary, François-Henry Rouet, Xiaoye Sherry Li
2018 — conf
A Study of Clustering Techniques and Hierarchical Matrix Formats for Kernel Ridge Regression.
IPDPS Workshops
Elizaveta Rebrova, Gustavo Chavez, Yang Liu, Pieter Ghysels, Xiaoye Sherry Li
2018 J jnl
A Study of Clustering Techniques and Hierarchical Matrix Formats for Kernel Ridge Regression.
CoRR
Elizaveta Rebrova, Gustavo Chavez, Yang Liu, Pieter Ghysels, Xiaoye Sherry Li
2018 — conf
Highly scalable distributed-memory sparse triangular solution algorithms.
CSC
Yang Liu, Mathias Jacquelin, Pieter Ghysels, Xiaoye S. Li
2018 J jnl
Matrix-free construction of HSS representation using adaptive randomized sampling.
CoRR
Christopher Gorman, Gustavo Chávez, Pieter Ghysels, Théo Mary, François-Henry Rouet, Xiaoye Sherry Li
2017 A conf
A Robust Parallel Preconditioner for Indefinite Systems Using Hierarchical Matrices and Randomized Sampling.
IPDPS
Pieter Ghysels, Xiaoye Sherry Li, Christopher Gorman, François-Henry Rouet
2016 J jnl
A Distributed-Memory Package for Dense Hierarchically Semi-Separable Matrix Computations Using Randomization.
ACM Trans. Math. Softw.
François-Henry Rouet, Xiaoye S. Li, Pieter Ghysels, Artem Napov
2016 J jnl
An Efficient Multicore Implementation of a Novel HSS-Structured Multifrontal Solver Using Randomized Sampling.
SIAM J. Sci. Comput.
Pieter Ghysels, Xiaoye S. Li, François-Henry Rouet, Samuel Williams, Artem Napov
2015 J jnl
A distributed-memory package for dense Hierarchically Semi-Separable matrix computations using randomization.
CoRR
François-Henry Rouet, Xiaoye S. Li, Pieter Ghysels, Artem Napov
2015 J jnl
A multi-level preconditioned Krylov method for the efficient solution of algebraic tomographic reconstruction problems.
J. Comput. Appl. Math.
Siegfried Cools, Pieter Ghysels, Wim van Aarle, Jan Sijbers, Wim Vanroose
2015 J jnl
An efficient multi-core implementation of a novel HSS-structured multifrontal solver using randomized sampling.
CoRR
Pieter Ghysels, Xiaoye S. Li, François-Henry Rouet, Samuel Williams, Artem Napov
2015 — conf
Comparative Performance Analysis of Coarse Solvers for Algebraic Multigrid on Multicore and Manycore Architectures.
PPAM (1)
Alex Druinsky, Pieter Ghysels, Xiaoye S. Li, Osni Marques, Samuel Williams, Andrew T. Barker, Delyan Kalchev, Panayot S. Vassilevski
2015 J jnl
Modeling the Performance of Geometric Multigrid Stencils on Multicore Computer Architectures.
SIAM J. Sci. Comput.
Pieter Ghysels, Wim Vanroose
2014 J jnl
Hiding global synchronization latency in the preconditioned Conjugate Gradient algorithm.
Parallel Comput.
Pieter Ghysels, Wim Vanroose
2013 J jnl
Hiding Global Communication Latency in the GMRES Algorithm on Massively Parallel Machines.
SIAM J. Sci. Comput.
Pieter Ghysels, Thomas J. Ashby, Karl Meerbergen, Wim Vanroose
2012 J jnl
Improving the arithmetic intensity of multigrid with the help of polynomial smoothers.
Numer. Linear Algebra Appl.
Pieter Ghysels, Przemyslaw Klosiewicz, Wim Vanroose
2012 — conf
The Impact of Global Communication Latency at Extreme Scales on Krylov Methods.
ICA3PP (1)
Thomas J. Ashby, Pieter Ghysels, Wim Heirman, Wim Vanroose
2011 — conf
Using Fast and Accurate Simulation to Explore Hardware/Software Trade-offs in the Multi-Core Era.
PARCO
Wim Heirman, Trevor E. Carlson, Souradip Sarkar, Pieter Ghysels, Wim Vanroose, Lieven Eeckhout