Pieter Ghysels

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 28

Top Topics

Top Venues

SIAM J. Sci. Comput.

ACM Trans. Math. Softw.

Publications

Hongwei Jin, Prasanna Balaprakash, Allen Zou, Pieter Ghysels, Aditi S. Krishnapriyan, Adam Mate, Arthur K. Barnes, Russell Bent
Physics-Informed Heterogeneous Graph Neural Networks for DC Blocker Placement. CoRR (2024)
Ramakrishnan Thirumalaisamy, Kaustubh Khedkar, Pieter Ghysels, Amneet Pal Singh Bhalla
An effective preconditioning strategy for volume penalized incompressible/low Mach multiphase flow solvers. CoRR (2023)
Lisa Claus, Pieter Ghysels, Yang Liu, Thái Anh Nhan, Ramakrishnan Thirumalaisamy, Amneet Pal Singh Bhalla, Xiaoye Sherry Li
Sparse Approximate Multifrontal Factorization with Composite Compression Methods. ACM Trans. Math. Softw. 49 (3) (2023)
Yotam Yaniv, Osman Asif Malik, Pieter Ghysels, Xiaoye S. Li
Construction of Hierarchically Semi-Separable matrix Representation using Adaptive Johnson-Lindenstrauss Sketching. CoRR (2023)
Ramakrishnan Thirumalaisamy, Kaustubh Khedkar, Pieter Ghysels, Amneet Pal Singh Bhalla
An effective preconditioning strategy for volume penalized incompressible/low Mach multiphase flow solvers. J. Comput. Phys. 490 (2023)
Mingyu Wang, Yang Liu, Pieter Ghysels, Abdulkadir C. Yucel
VoxImp: Impedance Extraction Simulator for Voxelized Structures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (8) (2023)
Pieter Ghysels, Ryan Synk
High performance sparse multifrontal solvers on modern GPUs. Parallel Comput. 110 (2022)
Alice Gatti, Zhixiong Hu, Tess E. Smidt, Esmond G. Ng, Pieter Ghysels
Deep Learning and Spectral Embedding for Graph Partitioning. PPSC (2022)
Alice Gatti, Zhixiong Hu, Tess E. Smidt, Esmond G. Ng, Pieter Ghysels
Graph Partitioning and Sparse Matrix Ordering using Reinforcement Learning and Graph Neural Networks. J. Mach. Learn. Res. 23 (2022)
Xinran Zhu, Yang Liu, Pieter Ghysels, David Bindel, Xiaoye S. Li
GPTuneBand: Multi-task and Multi-fidelity Autotuning for Large-scale High Performance Computing Applications. PPSC (2022)
Ahmad Abdelfattah, Pieter Ghysels, Wajih Boukaram, Stanimire Tomov, Xiaoye Sherry Li, Jack J. Dongarra
Addressing Irregular Patterns of Matrix Computations on GPUs and Their Impact on Applications Powered by Sparse Direct Solvers. SC (2022)
Yang Liu, Xin Xing, Han Guo, Eric Michielssen, Pieter Ghysels, Xiaoye Sherry Li
Butterfly Factorization Via Randomized Matrix-Vector Multiplications. SIAM J. Sci. Comput. 43 (2) (2021)
Alice Gatti, Zhixiong Hu, Tess Smidt, Esmond G. Ng, Pieter Ghysels
Deep Learning and Spectral Embedding for Graph Partitioning. CoRR (2021)
Yang Liu, Pieter Ghysels, Lisa Claus, Xiaoye Sherry Li
Sparse Approximate Multifrontal Factorization with Butterfly Compression for High-Frequency Wave Equations. SIAM J. Sci. Comput. 43 (5) (2021)
Alice Gatti, Zhixiong Hu, Pieter Ghysels, Esmond G. Ng, Tess Smidt
Graph Partitioning and Sparse Matrix Ordering using Reinforcement Learning. CoRR (2021)
Gustavo Chávez, Yang Liu, Pieter Ghysels, Xiaoye Sherry Li, Elizaveta Rebrova
Scalable and Memory-Efficient Kernel Ridge Regression. IPDPS (2020)
Yang Liu, Wissam M. Sid-Lakhdar, Elizaveta Rebrova, Pieter Ghysels, Xiaoye Sherry Li
A parallel hierarchical blocked adaptive cross approximation algorithm. Int. J. High Perform. Comput. Appl. 34 (4) (2020)
Yang Liu, Pieter Ghysels, Lisa Claus, Xiaoye Sherry Li
Sparse Approximate Multifrontal Factorization with Butterfly Compression for High Frequency Wave Equations. CoRR (2020)
Yang Liu, Xin Xing, Han Guo, Eric Michielssen, Pieter Ghysels, Xiaoye Sherry Li
Butterfly factorization via randomized matrix-vector multiplications. CoRR (2020)
Siegfried Cools, Jeffrey Cornelis, Pieter Ghysels, Wim Vanroose
Improving strong scaling of the Conjugate Gradient method for solving large linear systems using global reduction pipelining. CoRR (2019)
Christopher Gorman, Gustavo Chávez, Pieter Ghysels, Théo Mary, François-Henry Rouet, Xiaoye Sherry Li
Robust and Accurate Stopping Criteria for Adaptive Randomized Sampling in Matrix-Free Hierarchically Semiseparable Construction. SIAM J. Sci. Comput. 41 (5) (2019)
Elizaveta Rebrova, Gustavo Chavez, Yang Liu, Pieter Ghysels, Xiaoye Sherry Li
A Study of Clustering Techniques and Hierarchical Matrix Formats for Kernel Ridge Regression. CoRR (2018)
Christopher Gorman, Gustavo Chávez, Pieter Ghysels, Théo Mary, François-Henry Rouet, Xiaoye Sherry Li
Matrix-free construction of HSS representation using adaptive randomized sampling. CoRR (2018)
Yang Liu, Mathias Jacquelin, Pieter Ghysels, Xiaoye S. Li
Highly scalable distributed-memory sparse triangular solution algorithms. CSC (2018)
Elizaveta Rebrova, Gustavo Chavez, Yang Liu, Pieter Ghysels, Xiaoye Sherry Li
A Study of Clustering Techniques and Hierarchical Matrix Formats for Kernel Ridge Regression. IPDPS Workshops (2018)
Pieter Ghysels, Xiaoye Sherry Li, Christopher Gorman, François-Henry Rouet
A Robust Parallel Preconditioner for Indefinite Systems Using Hierarchical Matrices and Randomized Sampling. IPDPS (2017)
François-Henry Rouet, Xiaoye S. Li, Pieter Ghysels, Artem Napov
A Distributed-Memory Package for Dense Hierarchically Semi-Separable Matrix Computations Using Randomization. ACM Trans. Math. Softw. 42 (4) (2016)
Pieter Ghysels, Xiaoye S. Li, François-Henry Rouet, Samuel Williams, Artem Napov
An Efficient Multicore Implementation of a Novel HSS-Structured Multifrontal Solver Using Randomized Sampling. SIAM J. Sci. Comput. 38 (5) (2016)
Pieter Ghysels, Wim Vanroose
Modeling the Performance of Geometric Multigrid Stencils on Multicore Computer Architectures. SIAM J. Sci. Comput. 37 (2) (2015)
Siegfried Cools, Pieter Ghysels, Wim van Aarle, Jan Sijbers, Wim Vanroose
A multi-level preconditioned Krylov method for the efficient solution of algebraic tomographic reconstruction problems. J. Comput. Appl. Math. 283 (2015)
Alex Druinsky, Pieter Ghysels, Xiaoye S. Li, Osni Marques, Samuel Williams, Andrew T. Barker, Delyan Kalchev, Panayot S. Vassilevski
Comparative Performance Analysis of Coarse Solvers for Algebraic Multigrid on Multicore and Manycore Architectures. PPAM (1) (2015)
Pieter Ghysels, Xiaoye S. Li, François-Henry Rouet, Samuel Williams, Artem Napov
An efficient multi-core implementation of a novel HSS-structured multifrontal solver using randomized sampling. CoRR (2015)
François-Henry Rouet, Xiaoye S. Li, Pieter Ghysels, Artem Napov
A distributed-memory package for dense Hierarchically Semi-Separable matrix computations using randomization. CoRR (2015)
Pieter Ghysels, Wim Vanroose
Hiding global synchronization latency in the preconditioned Conjugate Gradient algorithm. Parallel Comput. 40 (7) (2014)
Pieter Ghysels, Thomas J. Ashby, Karl Meerbergen, Wim Vanroose
Hiding Global Communication Latency in the GMRES Algorithm on Massively Parallel Machines. SIAM J. Sci. Comput. 35 (1) (2013)
Pieter Ghysels, Przemyslaw Klosiewicz, Wim Vanroose
Improving the arithmetic intensity of multigrid with the help of polynomial smoothers. Numer. Linear Algebra Appl. 19 (2) (2012)
Thomas J. Ashby, Pieter Ghysels, Wim Heirman, Wim Vanroose
The Impact of Global Communication Latency at Extreme Scales on Krylov Methods. ICA3PP (1) (2012)
Wim Heirman, Trevor E. Carlson, Souradip Sarkar, Pieter Ghysels, Wim Vanroose, Lieven Eeckhout
Using Fast and Accurate Simulation to Explore Hardware/Software Trade-offs in the Multi-Core Era. PARCO (2011)