Pieter Ghysels

发表

A parallel hierarchical blocked adaptive cross approximation algorithm

Yang Liu, Wissam Sid-Lakhdar, Elizaveta Rebrova, 2019 .

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

Wim Vanroose, Pieter Ghysels, Thomas J. Ashby, 2013, SIAM J. Sci. Comput..

Hiding global synchronization latency in the preconditioned Conjugate Gradient algorithm

Wim Vanroose, Pieter Ghysels, P. Ghysels, 2014, Parallel Comput..

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

Wim Vanroose, Pieter Ghysels, Jan Sijbers, 2013, J. Comput. Appl. Math..

Butterfly factorization via randomized matrix-vector multiplications pdf

Yang Liu, Pieter Ghysels, Xiaoye Sherry Li, 2020, SIAM J. Sci. Comput..

Latency hiding of global reductions in pipelined Krylov methods

Wim Vanroose, Pieter Ghysels, Bram Reps, 2014 .

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

Pieter Ghysels, Xiaoye S. Li, François-Henry Rouet, 2018, ArXiv.

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

Wim Vanroose, Pieter Ghysels, Przemyslaw Klosiewicz, 2012, Numer. Linear Algebra Appl..

Using Fast and Accurate Simulation to Explore Hardware/Software Trade-offs in the Multi-Core Era

Lieven Eeckhout, Wim Vanroose, Pieter Ghysels, 2011, PARCO.

Preparing sparse solvers for exascale computing

Karl Rupp, Pieter Ghysels, Sivasankaran Rajamanickam, 2020, Philosophical Transactions of the Royal Society A.

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

Pieter Ghysels, Xiaoye Sherry Li, Yang Liu, 2020, ArXiv.

Initial Integration and Evaluation of SLATE and STRUMPACK

Jack Dongarra, Pieter Ghysels, Asim YarKhan, 2018 .

Modeling the Performance of Geometric Multigrid Stencils on Multicore Computer Architectures

Wim Vanroose, Pieter Ghysels, 2015, SIAM J. Sci. Comput..

A Robust Parallel Preconditioner for Indefinite Systems Using Hierarchical Matrices and Randomized Sampling

Pieter Ghysels, Xiaoye S. Li, François-Henry Rouet, 2017, 2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS).

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

Yang Liu, Elizaveta Rebrova, Pieter Ghysels, 2018, 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).

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

Samuel Williams, Pieter Ghysels, Xiaoye S. Li, 2015, PPAM.

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

Jeffrey Cornelis, Wim Vanroose, Pieter Ghysels, 2019, ArXiv.

Robust and Accurate Stopping Criteria for Adaptive Randomized Sampling in Matrix-Free Hierarchically Semiseparable Construction

Pieter Ghysels, Xiaoye S. Li, François-Henry Rouet, 2019, SIAM J. Sci. Comput..

A Hierarchical Low-Rank Decomposition Algorithm Based on Blocked Adaptive Cross Approximation Algorithms

Wissam Sid-Lakhdar, Elizaveta Rebrova, Pieter Ghysels, 2019 .

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

Samuel Williams, Pieter Ghysels, Xiaoye S. Li, 2015, SIAM J. Sci. Comput..

WORK-INTEGRATED LEARNING FOR MASTER STUDENTS IN PRODUCT DEVELOPMENT

Pieter Ghysels, Bianca Roseaux, Alexis J Jacoby, 2020 .

Scalable and Memory-Efficient Kernel Ridge Regression

Yang Liu, Elizaveta Rebrova, Pieter Ghysels, 2020, 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS).

A Distributed-Memory Package for Dense Hierarchically Semi-Separable Matrix Computations Using Randomization

Pieter Ghysels, Xiaoye S. Li, François-Henry Rouet, 2015, ACM Trans. Math. Softw..

Highly scalable distributed-memory sparse triangular solution algorithms

Mathias Jacquelin, Yang Liu, Pieter Ghysels, 2018, CSC.

Hiding global synchronization latency in preconditioned Krylov methods

Wim Vanroose, Pieter Ghysels, 2013 .

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

Wim Vanroose, Pieter Ghysels, Thomas J. Ashby, 2012, ICA3PP.

Deep Learning and Spectral Embedding for Graph Partitioning pdf

Pieter Ghysels, Esmond G. Ng, Tess Smidt, 2021, PPSC.

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

Pieter Ghysels, Yang Liu, Lisa Claus, 2020, SIAM Journal on Scientific Computing.

Graph Partitioning and Sparse Matrix Ordering using Reinforcement Learning pdf

Pieter Ghysels, Esmond G. Ng, Zhixiong Hu, 2021, ArXiv.

Hiding global communication latency and increasing the arithmetic intensity in extreme-scale Krylov solvers

Wim Vanroose, Pieter Ghysels, Karl Meerbergen, 2013 .