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 | 42 | 2017 |
Distributed-memory hierarchical compression of dense SPD matrices DY Chenhan, S Reiz, G Biros SC18: International Conference for High Performance Computing, Networking …, 2018 | 23 | 2018 |
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 | 16 | 2021 |
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 | 8 | 2019 |
Software for exascale computing-SPPEXA 2016-2019 HJ Bungartz, S Reiz, B Uekermann, P Neumann, WE Nagel Springer Nature, 2020 | 5 | 2020 |
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 | 3 | 2023 |
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 | 3 | 2020 |
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 | 1 | 2023 |
Black Box Hierarchical Approximations for SPD Matrices S Reiz | 1 | 2017 |
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 |