E-LIB Suche - Ergebnisse für: Ghysels, Pieter

1

MAGMA: Enabling exascale performance with accelerated BLAS ..:

Abdelfattah, Ahmad ; Beams, Natalie ; Carson, Robert...
The International Journal of High Performance Computing Applications. , 2024

Link: https://doi.org/10.1177/..

2

Physics-informed heterogeneous graph neural networks for DC..:

Jin, Hongwei ; Balaprakash, Prasanna ; Zou, Allen...
Electric Power Systems Research. 235 (2024) - p. 110795 , 2024

Link: https://doi.org/10.1016/..

3

VoxImp: Impedance Extraction Simulator for Voxelized Struct..:

Wang, Mingyu ; Liu, Yang ; Ghysels, Pieter.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 42 (2023) 8 - p. 2771-2775 , 2023

Link: https://doi.org/10.1109/..

4

An effective preconditioning strategy for volume penalized ..:

Thirumalaisamy, Ramakrishnan ; Khedkar, Kaustubh ; Ghysels, Pieter.
Journal of Computational Physics. 490 (2023) - p. 112325 , 2023

Link: https://doi.org/10.1016/..

5

Addressing Irregular Patterns of Matrix Computations on GPU..:

, In: SC22: International Conference for High Performance Computing, Networking, Storage and Analysis,

Abdelfattah, Ahmad ; Ghysels, Pieter ; Boukaram, Wajih... - p. 1-14 , 2022

Link: https://doi.org/10.1109/..

6

High performance sparse multifrontal solvers on modern GPUs:

Ghysels, Pieter ; Synk, Ryan
Parallel Computing. 110 (2022) - p. 102897 , 2022

Link: https://doi.org/10.1016/..

7

Sparse Approximate Multifrontal Factorization with Butterfl..:

Liu, Yang ; Ghysels, Pieter ; Claus, Lisa.
SIAM Journal on Scientific Computing. 43 (2021) 5 - p. S367-S391 , 2021

Link: https://doi.org/10.1137/..

8

Butterfly Factorization Via Randomized Matrix-Vector Multip..:

Liu, Yang ; Xing, Xin ; Guo, Han...
SIAM Journal on Scientific Computing. 43 (2021) 2 - p. A883-A907 , 2021

Link: https://doi.org/10.1137/..

9

Preparing sparse solvers for exascale computing:

Anzt, Hartwig ; Boman, Erik ; Falgout, Rob...
Philosophical Transactions: Mathematical, Physical and Engineering Sciences. 378 (2020) 2166 - p. 1-17 , 2020

Link: https://www.jstor.org/st..

10

Scalable and Memory-Efficient Kernel Ridge Regression:

, In: 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS),

Chavez, Gustavo ; Liu, Yang ; Ghysels, Pieter.. - p. 956-965 , 2020

Link: https://doi.org/10.1109/..

11

A parallel hierarchical blocked adaptive cross approximatio..:

Liu, Yang ; Sid-Lakhdar, Wissam ; Rebrova, Elizaveta..
The International Journal of High Performance Computing Applications. 34 (2020) 4 - p. 394-408 , 2020

Link: https://doi.org/10.1177/..

12

Robust and Accurate Stopping Criteria for Adaptive Randomiz..:

Gorman, Christopher ; Chávez, Gustavo ; Ghysels, Pieter...
SIAM Journal on Scientific Computing. 41 (2019) 5 - p. S61-S85 , 2019

Link: https://doi.org/10.1137/..

13

A Robust Parallel Preconditioner for Indefinite Systems Usi..:

, In: 2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS),

Ghysels, Pieter ; Xiaoye, Sherry Li ; Gorman, Christopher. - p. 897-906 , 2017

Link: https://doi.org/10.1109/..

14

A Distributed-Memory Package for Dense Hierarchically Semi-..:

Rouet, François-Henry ; Li, Xiaoye S. ; Ghysels, Pieter.
ACM Transactions on Mathematical Software. 42 (2016) 4 - p. 1-35 , 2016

Link: https://doi.org/10.1145/..

15

An Efficient Multicore Implementation of a Novel HSS-Struct..:

Ghysels, Pieter ; Li, Xiaoye S. ; Rouet, François-Henry..
SIAM Journal on Scientific Computing. 38 (2016) 5 - p. S358-S384 , 2016

Link: https://doi.org/10.1137/..