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Pieter Ghysels
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2020 – today
- 2025
- [j17]Kaustubh Khedkar, Amirreza Charchi Mamaghani, Pieter Ghysels, Neelesh A. Patankar, Amneet Pal Singh Bhalla
:
Preventing mass loss in the standard level set method: New insights from variational analyses. J. Comput. Phys. 520: 113495 (2025) - 2024
- [i12]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 abs/2405.10389 (2024) - 2023
- [j16]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: 112325 (2023) - [j15]Mingyu Wang
VoxImp: Impedance Extraction Simulator for Voxelized Structures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(8): 2771-2775 (2023) - [j14]Lisa Claus
Sparse Approximate Multifrontal Factorization with Composite Compression Methods. ACM Trans. Math. Softw. 49(3): 24:1-24:28 (2023) - [i11]Yotam Yaniv, Osman Asif Malik, Pieter Ghysels, Xiaoye S. Li:
Construction of Hierarchically Semi-Separable matrix Representation using Adaptive Johnson-Lindenstrauss Sketching. CoRR abs/2302.01977 (2023) - [i10]Ramakrishnan Thirumalaisamy, Kaustubh Khedkar, Pieter Ghysels, Amneet Pal Singh Bhalla:
An effective preconditioning strategy for volume penalized incompressible/low Mach multiphase flow solvers. CoRR abs/2306.06277 (2023) - 2022
- [j13]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: 303:1-303:28 (2022) - [j12]Pieter Ghysels, Ryan Synk:
High performance sparse multifrontal solvers on modern GPUs. Parallel Comput. 110: 102897 (2022) - [c10]Xinran Zhu
GPTuneBand: Multi-task and Multi-fidelity Autotuning for Large-scale High Performance Computing Applications. PP 2022: 1-13 - [c9]Alice Gatti, Zhixiong Hu, Tess E. Smidt, Esmond G. Ng, Pieter Ghysels:
Deep Learning and Spectral Embedding for Graph Partitioning. PP 2022: 25-36 - [c8]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: 26:1-26:14 - 2021
- [j11]Yang Liu
Butterfly Factorization Via Randomized Matrix-Vector Multiplications. SIAM J. Sci. Comput. 43(2): A883-A907 (2021) - [j10]Yang Liu
Sparse Approximate Multifrontal Factorization with Butterfly Compression for High-Frequency Wave Equations. SIAM J. Sci. Comput. 43(5): S367-S391 (2021) - [i9]Alice Gatti, Zhixiong Hu, Pieter Ghysels, Esmond G. Ng, Tess E. Smidt:
Graph Partitioning and Sparse Matrix Ordering using Reinforcement Learning. CoRR abs/2104.03546 (2021) - [i8]Alice Gatti, Zhixiong Hu, Tess E. Smidt, Esmond G. Ng, Pieter Ghysels:
Deep Learning and Spectral Embedding for Graph Partitioning. CoRR abs/2110.08614 (2021) - 2020
- [j9]Yang Liu
A parallel hierarchical blocked adaptive cross approximation algorithm. Int. J. High Perform. Comput. Appl. 34(4) (2020) - [c7]Gustavo Chávez, Yang Liu, Pieter Ghysels, Xiaoye Sherry Li, Elizaveta Rebrova
Scalable and Memory-Efficient Kernel Ridge Regression. IPDPS 2020: 956-965 - [i7]Yang Liu, Xin Xing, Han Guo, Eric Michielssen, Pieter Ghysels, Xiaoye Sherry Li:
Butterfly factorization via randomized matrix-vector multiplications. CoRR abs/2002.03400 (2020) - [i6]Yang Liu, Pieter Ghysels, Lisa Claus, Xiaoye Sherry Li:
Sparse Approximate Multifrontal Factorization with Butterfly Compression for High Frequency Wave Equations. CoRR abs/2007.00202 (2020)
2010 – 2019
- 2019
- [j8]Christopher Gorman
Robust and Accurate Stopping Criteria for Adaptive Randomized Sampling in Matrix-Free Hierarchically Semiseparable Construction. SIAM J. Sci. Comput. 41(5): S61-S85 (2019) - [i5]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 abs/1905.06850 (2019) - 2018
- [c6]Elizaveta Rebrova
A Study of Clustering Techniques and Hierarchical Matrix Formats for Kernel Ridge Regression. IPDPS Workshops 2018: 883-892 - [c5]Yang Liu, Mathias Jacquelin, Pieter Ghysels, Xiaoye S. Li:
Highly scalable distributed-memory sparse triangular solution algorithms. CSC 2018: 87-96 - [i4]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 abs/1803.10274 (2018) - [i3]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 abs/1810.04125 (2018) - 2017
- [c4]Pieter Ghysels, Xiaoye Sherry Li, Christopher Gorman
A Robust Parallel Preconditioner for Indefinite Systems Using Hierarchical Matrices and Randomized Sampling. IPDPS 2017: 897-906 - 2016
- [j7]Pieter Ghysels, Xiaoye S. Li, François-Henry Rouet, Samuel Williams
An Efficient Multicore Implementation of a Novel HSS-Structured Multifrontal Solver Using Randomized Sampling. SIAM J. Sci. Comput. 38(5) (2016) - [j6]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): 27:1-27:35 (2016) - 2015
- [j5]Siegfried Cools
A multi-level preconditioned Krylov method for the efficient solution of algebraic tomographic reconstruction problems. J. Comput. Appl. Math. 283: 1-16 (2015) - [j4]Pieter Ghysels, Wim Vanroose
Modeling the Performance of Geometric Multigrid Stencils on Multicore Computer Architectures. SIAM J. Sci. Comput. 37(2) (2015) - [c3]Alex Druinsky, Pieter Ghysels, Xiaoye S. Li, Osni Marques, Samuel Williams
Comparative Performance Analysis of Coarse Solvers for Algebraic Multigrid on Multicore and Manycore Architectures. PPAM (1) 2015: 116-127 - [i2]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 abs/1502.07405 (2015) - [i1]François-Henry Rouet, Xiaoye S. Li, Pieter Ghysels, Artem Napov:
A distributed-memory package for dense Hierarchically Semi-Separable matrix computations using randomization. CoRR abs/1503.05464 (2015) - 2014
- [j3]Pieter Ghysels, Wim Vanroose
Hiding global synchronization latency in the preconditioned Conjugate Gradient algorithm. Parallel Comput. 40(7): 224-238 (2014) - 2013
- [j2]Pieter Ghysels, Thomas J. Ashby, Karl Meerbergen
Hiding Global Communication Latency in the GMRES Algorithm on Massively Parallel Machines. SIAM J. Sci. Comput. 35(1) (2013) - 2012
- [j1]Pieter Ghysels, Przemyslaw Klosiewicz, Wim Vanroose
Improving the arithmetic intensity of multigrid with the help of polynomial smoothers. Numer. Linear Algebra Appl. 19(2): 253-267 (2012) - [c2]Thomas J. Ashby, Pieter Ghysels, Wim Heirman
The Impact of Global Communication Latency at Extreme Scales on Krylov Methods. ICA3PP (1) 2012: 428-442 - 2011
- [c1]Wim Heirman, Trevor E. Carlson
Using Fast and Accurate Simulation to Explore Hardware/Software Trade-offs in the Multi-Core Era. PARCO 2011: 343-350
Coauthor Index
aka: Xiaoye Sherry Li
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