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 (PARCO, 2011)

The Impact of Global Communication Latency at Extreme Scales on Krylov Methods. - Thomas J. Ashby; Pieter Ghysels; Wim Heirman; Wim Vanroose (ICA3PP (1), 2012)

Improving the arithmetic intensity of multigrid with the help of polynomial smoothers. - Pieter Ghysels; Przemyslaw Klosiewicz; Wim Vanroose (Numer. Linear Algebra Appl., 2012)

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)

Hiding global synchronization latency in the preconditioned Conjugate Gradient algorithm. - Pieter Ghysels; Wim Vanroose (Parallel Comput., 2014)

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 001; Andrew T. Barker; Delyan Kalchev; Panayot S. Vassilevski (PPAM (1), 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 001; Artem Napov (CoRR, 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)

Modeling the Performance of Geometric Multigrid Stencils on Multicore Computer Architectures. - Pieter Ghysels; Wim Vanroose (SIAM J. Sci. Comput., 2015)

An Efficient Multicore Implementation of a Novel HSS-Structured Multifrontal Solver Using Randomized Sampling. - Pieter Ghysels; Xiaoye S. Li; François-Henry Rouet; Samuel Williams 001; Artem Napov (SIAM J. Sci. Comput., 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)

A Robust Parallel Preconditioner for Indefinite Systems Using Hierarchical Matrices and Randomized Sampling. - Pieter Ghysels; Xiaoye Sherry Li; Christopher Gorman; François-Henry Rouet (IPDPS, 2017)

A Study of Clustering Techniques and Hierarchical Matrix Formats for Kernel Ridge Regression. - Elizaveta Rebrova; Gustavo Chavez; Yang Liu 179; Pieter Ghysels; Xiaoye Sherry Li (IPDPS Workshops, 2018)

Highly scalable distributed-memory sparse triangular solution algorithms. - Yang Liu 179; Mathias Jacquelin; Pieter Ghysels; Xiaoye S. Li (CSC, 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)

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)

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)

Scalable and Memory-Efficient Kernel Ridge Regression. - Gustavo Chávez; Yang Liu 179; Pieter Ghysels; Xiaoye Sherry Li; Elizaveta Rebrova (IPDPS, 2020)

A parallel hierarchical blocked adaptive cross approximation algorithm. - Yang Liu 179; Wissam M. Sid-Lakhdar; Elizaveta Rebrova; Pieter Ghysels; Xiaoye Sherry Li (Int. J. High Perform. Comput. Appl., 2020)

Graph Partitioning and Sparse Matrix Ordering using Reinforcement Learning. - Alice Gatti; Zhixiong Hu; Pieter Ghysels; Esmond G. Ng; Tess E. Smidt (CoRR, 2021)

Sparse Approximate Multifrontal Factorization with Butterfly Compression for High-Frequency Wave Equations. - Yang Liu 179; Pieter Ghysels; Lisa Claus; Xiaoye Sherry Li (SIAM J. Sci. Comput., 2021)

Butterfly Factorization Via Randomized Matrix-Vector Multiplications. - Yang Liu 179; Xin Xing; Han Guo; Eric Michielssen; Pieter Ghysels; Xiaoye Sherry Li (SIAM J. Sci. Comput., 2021)

Deep Learning and Spectral Embedding for Graph Partitioning. - Alice Gatti; Zhixiong Hu; Tess E. Smidt; Esmond G. Ng; Pieter Ghysels (PP, 2022)

GPTuneBand: Multi-task and Multi-fidelity Autotuning for Large-scale High Performance Computing Applications. - Xinran Zhu; Yang Liu 179; Pieter Ghysels; David Bindel; Xiaoye S. Li (PP, 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 (SC, 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)

High performance sparse multifrontal solvers on modern GPUs. - Pieter Ghysels; Ryan Synk (Parallel Comput., 2022)

Construction of Hierarchically Semi-Separable matrix Representation using Adaptive Johnson-Lindenstrauss Sketching. - Yotam Yaniv; Osman Asif Malik; Pieter Ghysels; Xiaoye S. Li (CoRR, 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)

VoxImp: Impedance Extraction Simulator for Voxelized Structures. - Mingyu Wang; Yang Liu 179; Pieter Ghysels; Abdulkadir C. Yucel (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Sparse Approximate Multifrontal Factorization with Composite Compression Methods. - Lisa Claus; Pieter Ghysels; Yang Liu 179; Thái Anh Nhan; Ramakrishnan Thirumalaisamy; Amneet Pal Singh Bhalla; Xiaoye Sherry Li (ACM Trans. Math. Softw., 2023)

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)

Adaptive Sketching Based Construction of H2 Matrices on GPUs. - Wajih Halim Boukaram; Yang Liu 179; Pieter Ghysels; Xiaoye Sherry Li (IPDPS (Workshops), 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)

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)