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ORCIDChristian Plessl
- > Home > Persons > Christian Plessl
Publications
- 2023
[j27]Varadarajan Rengaraj, Sebastian Jost
, Franz Bethke, Christian Plessl, Hossein Mirhosseini, Andrea Walther, Thomas D. Kühne:
A Two-Step Machine Learning Method for Predicting the Formation Energy of Ternary Compounds. Comput. 11(5): 95 (2023)- [j26]Robert Schade, Tobias Kenter, Hossam Elgabarty, Michael Lass, Thomas D. Kühne, Christian Plessl:
Breaking the exascale barrier for the electronic structure problem in ab-initio molecular dynamics. Int. J. High Perform. Comput. Appl. 37(5): 530-538 (2023) - [c62]Xin Wu, Tobias Kenter, Robert Schade, Thomas D. Kühne, Christian Plessl:
Computing and Compressing Electron Repulsion Integrals on FPGAs. FCCM 2023: 162-173 - [i15]Xin Wu, Tobias Kenter, Robert Schade, Thomas D. Kühne, Christian Plessl:
Computing and Compressing Electron Repulsion Integrals on FPGAs. CoRR abs/2303.13632 (2023) - 2022
- [j22]Robert Schade, Tobias Kenter, Hossam Elgabarty, Michael Lass, Ole Schütt, Alfio Lazzaro, Hans Pabst, Stephan Mohr, Jürg Hutter, Thomas D. Kühne, Christian Plessl:
Towards electronic structure-based ab-initio molecular dynamics simulations with hundreds of millions of atoms. Parallel Comput. 111: 102920 (2022) - [i12]Thomas D. Kühne, Christian Plessl, Robert Schade, Ole Schütt:
CP2K on the road to exascale. CoRR abs/2205.14741 (2022) - 2021
- [c57]Arjun Ramaswami, Tobias Kenter, Thomas D. Kühne, Christian Plessl:
Evaluating the Design Space for Offloading 3D FFT Calculations to an FPGA for High-Performance Computing. ARC 2021: 285-294 - [i11]Robert Schade, Tobias Kenter, Hossam Elgabarty, Michael Lass, Ole Schütt, Alfio Lazzaro, Hans Pabst, Stephan Mohr, Jürg Hutter, Thomas D. Kühne, Christian Plessl:
Enabling Electronic Structure-Based Ab-Initio Molecular Dynamics Simulations with Hundreds of Millions of Atoms. CoRR abs/2104.08245 (2021) - 2020
- [j20]Varadarajan Rengaraj, Michael Lass, Christian Plessl, Thomas D. Kühne:
Accurate Sampling with Noisy Forces from Approximate Computing. Comput. 8(2): 39 (2020) - [c54]Arjun Ramaswami, Tobias Kenter, Thomas D. Kühne, Christian Plessl:
Efficient Ab-Initio Molecular Dynamic Simulations by Offloading Fast Fourier Transformations to FPGAs. FPL 2020: 353-354 - [c52]Michael Lass, Robert Schade, Thomas D. Kühne, Christian Plessl:
A submatrix-based method for approximate matrix function evaluation in the quantum chemistry code CP2K. SC 2020: 80 - [i8]Michael Lass, Robert Schade, Thomas D. Kühne, Christian Plessl:
A Submatrix-Based Method for Approximate Matrix Function Evaluation in the Quantum Chemistry Code CP2K. CoRR abs/2004.10811 (2020) - [i6]Arjun Ramaswami, Tobias Kenter, Thomas D. Kühne, Christian Plessl:
Efficient Ab-Initio Molecular Dynamic Simulations by Offloading Fast Fourier Transformations to FPGAs. CoRR abs/2006.08435 (2020) - 2019
- [i4]Varadarajan Rengaraj, Michael Lass, Christian Plessl, Thomas D. Kühne:
Accurate Sampling with Noisy Forces from Approximate Computing. CoRR abs/1907.08497 (2019) - 2018
- [j17]Michael Lass, Thomas D. Kühne, Christian Plessl:
Using Approximate Computing for the Calculation of Inverse Matrix pth Roots. IEEE Embed. Syst. Lett. 10(2): 33-36 (2018) - [c49]Michael Lass, Stephan Mohr, Hendrik Wiebeler, Thomas D. Kühne, Christian Plessl:
A Massively Parallel Algorithm for the Approximate Calculation of Inverse p-th Roots of Large Sparse Matrices. PASC 2018: 7:1-7:11 - 2017
- [i3]Michael Lass, Thomas D. Kühne, Christian Plessl:
Using Approximate Computing for the Calculation of Inverse Matrix p-th Roots. CoRR abs/1703.02283 (2017) - [i2]Michael Lass, Stephan Mohr, Thomas D. Kühne, Christian Plessl:
A Massively Parallel Algorithm for the Approximate Calculation of Inverse p-th Roots of Large Sparse Matrices. CoRR abs/1710.10899 (2017)
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