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Severin Reiz
Severin Reiz
Research Associate, Technical University of Munich
Verified email at in.tum.de - Homepage
Title
Cited by
Cited by
Year
Geometry-oblivious FMM for compressing dense SPD matrices
CD Yu, J Levitt, S Reiz, G Biros
Proceedings of the International Conference for High Performance Computing …, 2017
392017
Distributed-memory hierarchical compression of dense SPD matrices
DY Chenhan, S Reiz, G Biros
SC18: International Conference for High Performance Computing, Networking …, 2018
222018
Fast approximation of the Gauss--Newton Hessian matrix for the multilayer perceptron
C Chen, S Reiz, CD Yu, HJ Bungartz, G Biros
SIAM Journal on Matrix Analysis and Applications 42 (1), 165-184, 2021
162021
Distributed O (N) linear solver for dense symmetric hierarchical semi-separable matrices
DY Chenhan, S Reiz, G Biros
2019 IEEE 13th International Symposium on Embedded Multicore/Many-core …, 2019
72019
Software for exascale computing-SPPEXA 2016-2019
HJ Bungartz, S Reiz, B Uekermann, P Neumann, WE Nagel
Springer Nature, 2020
42020
Neural Nets with a Newton Conjugate Gradient Method on Multiple GPUs
S Reiz, T Neckel, HJ Bungartz
PPAM 2022: Parallel Processing and Applied Mathematics 13826 (Springer LNCS …, 2023
22023
Software for Exascale Computing: some remarks on the priority program SPPEXA
HJ Bungartz, WE Nagel, P Neumann, S Reiz, B Uekermann
Software for Exascale Computing-SPPEXA 2016-2019, 3-18, 2020
22020
Efficient and Scalable Kernel Matrix Approximations Using Hierarchical Decomposition
K Gaddameedi, S Reiz, T Neckel, HJ Bungartz
BenchCouncil International Symposium on Intelligent Computers, Algorithms …, 2023
12023
Black Box Hierarchical Approximations for SPD Matrices
S Reiz
12017
Scalable Hierarchical Approximation of Dense Kernel Matrices
K Gaddameedi, S Reiz, T Neckel, HJ Bungartz
2024
Training Large-Scale Neural Networks with a Newton Conjugate Gradient Method (Newton-CG)
S Reiz, T Neckel, HJ Bungartz
SIAM Conference on Computational Science and Engineering (CSE23), 2023
2023
Efficient Manifold Learning with Diffusion Maps
F Dietrich
Joint Mathematics Meeting 2021, 2021
2021
SPPEXA and beyond: Perspectives of Exascale Computing in the Context of AI
S Reiz
Human-centric Artificial Intelligence, 2020
2020
SPPEXA: Software for Exascale Computing
S Reiz, HJ Bungartz
SIAM News, 2020
2020
An Exascale Library for Numerically Inspired Machine Learning (ExaNIML)
S Reiz, H Ashraf, T Neckel, G Biros, HJ Bungartz
ISC High Performance, 2020
2020
H-matrix approximation of the Gauss-Newton Hessian matrix for the multilayer perceptron
C Chen, S Reiz, C Yu, HJ Bungartz, G Biros
33rd Conference on Neural Information Processing Systems (NeurIPS 2019), 2019
2019
A Fast Multipole Method for Training Neural Networks
S Reiz
PhD Forum: IEEE International Supercomputing Conference, 2019
2019
ExaNIML: An Exascale Library for Numerically Inspired Machine Learning
S Reiz, T Neckel, HJ Bungartz, G Biros
13th IGSSE Forum, Raitenhaslach, 2019
2019
Second-order optimization for AI using HSS Matrices on distributed-memory setup
S Reiz
Convergence of HPC and Data Science for Future Extreme Scale Intelligent …, 2019
2019
Nonsymmetric Algebraic Fast Multipole Method
S Reiz, G Biros, HJ Bungartz
Computational Science at Scale (CoSaS) 2018, 2018
2018
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