Theo dõi
Dirk Pflüger
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Springer International Publishing: Cham
J Garcke, D Pflüger, CG Webster, G Zhang
Switzerland, 2018
913*2018
Spatially adaptive sparse grids for high-dimensional data-driven problems
D Pflüger, B Peherstorfer, HJ Bungartz
Journal of Complexity 26 (5), 508-522, 2010
3592010
Modeling and Simulation: An Application-Oriented Introduction
HJ Bungartz, S Zimmer, M Buchholz, D Pflüger
Optimization 53, 2014
241*2014
Pdebench: An extensive benchmark for scientific machine learning
M Takamoto, T Praditia, R Leiteritz, D MacKinlay, F Alesiani, D Pflüger, ...
Advances in Neural Information Processing Systems 35, 1596-1611, 2022
2182022
Modellbildung und Simulation: eine anwendungsorientierte Einführung
HJ Bungartz, S Zimmer, M Buchholz, D Pflüger
Springer-Verlag, 2009
200*2009
Polynomial chaos expansions for dependent random variables
JD Jakeman, F Franzelin, A Narayan, M Eldred, D Pflüger
Computer Methods in Applied Mechanics and Engineering 351, 643-666, 2019
992019
Spatially adaptive refinement
D Pflüger
Sparse grids and applications, 243-262, 2012
552012
Density estimation with adaptive sparse grids for large data sets
B Peherstorfer, D Pflüger, HJ Bungartz
Proceedings of the 2014 SIAM International Conference on Data Mining, 443-451, 2014
522014
Option pricing with a direct adaptive sparse grid approach
HJ Bungartz, A Heinecke, D Pflüger, S Schraufstetter
Journal of Computational and Applied Mathematics 236 (15), 3741-3750, 2012
462012
Extending a Highly Parallel Data Mining Algorithm to the Intel ® Many Integrated Core Architecture
A Heinecke, M Klemm, D Pflüger, A Bode, HJ Bungartz
Euro-Par 2011: Parallel Processing Workshops: CCPI, CGWS, HeteroPar, HiBB …, 2012
412012
Compact data structure and scalable algorithms for the sparse grid technique
A Murarasu, J Weidendorfer, G Buse, D Butnaru, D Pflüger
ACM SIGPLAN Notices 46 (8), 25-34, 2011
412011
A comparison of sycl, opencl, cuda, and openmp for massively parallel support vector machine classification on multi-vendor hardware
M Breyer, A Van Craen, D Pflüger
Proceedings of the 10th International Workshop on OpenCL, 1-12, 2022
372022
Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario
M Köppel, F Franzelin, I Kröker, S Oladyshkin, G Santin, D Wittwar, ...
Computational Geosciences 23, 339-354, 2019
362019
Evaluation of pool-based testing approaches to enable population-wide screening for COVID-19
T de Wolff, D Pflüger, M Rehme, J Heuer, MI Bittner
PLoS One 15 (12), e0243692, 2020
352020
From piz daint to the stars: simulation of stellar mergers using high-level abstractions
G Daiß, P Amini, J Biddiscombe, P Diehl, J Frank, K Huck, H Kaiser, ...
Proceedings of the International Conference for High Performance Computing …, 2019
352019
Multi-and many-core data mining with adaptive sparse grids
A Heinecke, D Pflüger
Proceedings of the 8th ACM International Conference on Computing Frontiers, 1-10, 2011
352011
Hierarchical gradient-based optimization with B-splines on sparse grids
J Valentin, D Pflüger
Sparse Grids and Applications-Stuttgart 2014, 315-336, 2016
342016
Load balancing for massively parallel computations with the sparse grid combination technique
M Heene, C Kowitz, D Pflüger
Parallel Computing: Accelerating Computational Science and Engineering (CSE …, 2014
322014
Emerging architectures enable to boost massively parallel data mining using adaptive sparse grids
A Heinecke, D Pflüger
International Journal of Parallel Programming 41 (3), 357-399, 2013
322013
Harnessing billions of tasks for a scalable portable hydrodynamic simulation of the merger of two stars
T Heller, BA Lelbach, KA Huck, J Biddiscombe, P Grubel, AE Koniges, ...
The International Journal of High Performance Computing Applications 33 (4 …, 2019
312019
Hệ thống không thể thực hiện thao tác ngay bây giờ. Hãy thử lại sau.
Bài viết 1–20