Hiding global synchronization latency in the preconditioned conjugate gradient algorithm P Ghysels, W Vanroose Parallel Computing 40 (7), 224-238, 2014 | 137 | 2014 |

Hiding global communication latency in the GMRES algorithm on massively parallel machines P Ghysels, T Ashby, K Meerbergen, W Vanroose URL http://www. exascience. com/wp-content/uploads/2012/02 …, 2012 | 118 | 2012 |

A distributed-memory package for dense hierarchically semi-separable matrix computations using randomization FH Rouet, XS Li, P Ghysels, A Napov ACM Transactions on Mathematical Software (TOMS) 42 (4), 1-35, 2016 | 87 | 2016 |

An efficient multicore implementation of a novel HSS-structured multifrontal solver using randomized sampling P Ghysels, XS Li, FH Rouet, S Williams, A Napov SIAM Journal on Scientific Computing 38 (5), S358-S384, 2016 | 80 | 2016 |

Particle-based model to simulate the micromechanics of biological cells P Van Liedekerke, E Tijskens, H Ramon, P Ghysels, G Samaey, D Roose Physical Review E 81 (6), 061906, 2010 | 68 | 2010 |

A particle-based model to simulate the micromechanics of single-plant parenchyma cells and aggregates P Van Liedekerke, P Ghysels, E Tijskens, G Samaey, B Smeedts, ... Physical biology 7 (2), 026006, 2010 | 63 | 2010 |

Mechanisms of soft cellular tissue bruising. A particle based simulation approach P Van Liedekerke, P Ghysels, E Tijskens, G Samaey, D Roose, H Ramon Soft Matter 7 (7), 3580-3591, 2011 | 44 | 2011 |

Multi-scale simulation of plant tissue deformation using a model for individual cell mechanics P Ghysels, G Samaey, B Tijskens, P Van Liedekerke, H Ramon, D Roose Physical Biology 6 (1), 016009, 2009 | 43 | 2009 |

Improving the arithmetic intensity of multigrid with the help of polynomial smoothers P Ghysels, P Kłosiewicz, W Vanroose Numerical Linear Algebra with Applications 19 (2), 253-267, 2012 | 32 | 2012 |

Modeling the performance of geometric multigrid stencils on multicore computer architectures P Ghysels, W Vanroose SIAM Journal on Scientific Computing 37 (2), C194-C216, 2015 | 23 | 2015 |

A robust parallel preconditioner for indefinite systems using hierarchical matrices and randomized sampling P Ghysels, XS Li, C Gorman, FH Rouet 2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2017 | 19 | 2017 |

Multiscale modeling of viscoelastic plant tissue P Ghysels, G Samaey, P Van Liedekerke, E Tijskens, H Ramon, D Roose International Journal for Multiscale Computational Engineering 8 (4), 2010 | 16 | 2010 |

The impact of global communication latency at extreme scales on Krylov methods TJ Ashby, P Ghysels, W Heirman, W Vanroose International Conference on Algorithms and Architectures for Parallel …, 2012 | 14 | 2012 |

A study of clustering techniques and hierarchical matrix formats for kernel ridge regression E Rebrova, G Chávez, Y Liu, P Ghysels, XS Li 2018 IEEE International Parallel and Distributed Processing Symposium …, 2018 | 12 | 2018 |

A particle based model to simulate plant cells dynamics PV Liedekerke, P Ghysels, E Tijskens, G Samaey, B Smeedts, D Roose, ... 4th international SPHERIC workshop, Nantes, France, 2009 | 12 | 2009 |

Highly scalable distributed-memory sparse triangular solution algorithms Y Liu, M Jacquelin, P Ghysels, XS Li 2018 Proceedings of the Seventh SIAM Workshop on Combinatorial Scientific …, 2018 | 5 | 2018 |

Memory access optimization for iterative tomography on many-core architectures W van Aarle, P Ghysels, J Sijbers, W Vanroose The 12th International Meeting on Fully Three-Dimensional Image …, 2013 | 5 | 2013 |

A multi-level preconditioned Krylov method for the efficient solution of algebraic tomographic reconstruction problems S Cools, P Ghysels, W van Aarle, J Sijbers, W Vanroose Journal of Computational and Applied Mathematics 283, 1-16, 2015 | 4 | 2015 |

Using fast and accurate simulation to explore hardware/software trade-offs in the multi-core era W Heirman, T Carlson, S Sarkar, P Ghysels, W Vanroose, L Eeckhout 2011 International conference on Parallel Computing (ParCo 2011), 2011 | 4 | 2011 |

Improving strong scaling of the conjugate gradient method for solving large linear systems using global reduction pipelining S Cools, J Cornelis, P Ghysels, W Vanroose arXiv preprint arXiv:1905.06850, 2019 | 3 | 2019 |