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212 Publications


2023 | Conference Paper | LibreCat-ID: 46188
J. Faj, T. Kenter, S. Faghih-Naini, C. Plessl, and V. Aizinger, “Scalable Multi-FPGA Design of a Discontinuous Galerkin Shallow-Water Model on Unstructured Meshes,” 2023, doi: 10.1145/3592979.3593407.
LibreCat | Files available | DOI | Download (ext.)
 

2022 | Conference Paper | LibreCat-ID: 46193 | OA
M. Karp et al., “A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays: Design, Evaluation, and Future Challenges,” 2022, doi: 10.1145/3492805.3492808.
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2022 | Preprint | LibreCat-ID: 36879 | OA
V. Churavy et al., “Bridging HPC Communities through the Julia Programming Language.” 2022.
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2022 | Preprint | LibreCat-ID: 32404
T. Kühne, C. Plessl, R. Schade, and O. Schütt, “CP2K on the road to exascale,” arXiv:2205.14741. 2022.
LibreCat | Download (ext.) | arXiv
 

2022 | Preprint | LibreCat-ID: 32177
N. Borghini, M. Borrell, and H. Roch, “Early time behavior of spatial and momentum anisotropies in kinetic  theory across different Knudsen numbers,” arXiv:2201.13294. 2022.
LibreCat | arXiv
 

2022 | Preprint | LibreCat-ID: 32178
B. Bachmann, N. Borghini, N. Feld, and H. Roch, “Even anisotropic-flow harmonics are from Venus, odd ones are from Mars,” arXiv:2203.13306. 2022.
LibreCat | arXiv
 

2022 | Preprint | LibreCat-ID: 33493
V. Gavini et al., “Roadmap on Electronic Structure Codes in the Exascale Era,” arXiv:2209.12747. 2022.
LibreCat | arXiv
 

2022 | Preprint | LibreCat-ID: 46275
V. Gavini et al., “Roadmap on Electronic Structure Codes in the Exascale Era,” arXiv:2209.12747. 2022.
LibreCat | arXiv
 

2021 | Conference Paper | LibreCat-ID: 46194
T. Kenter, A. Shambhu, S. Faghih-Naini, and V. Aizinger, “Algorithm-hardware co-design of a discontinuous Galerkin shallow-water model for a dataflow architecture on FPGA,” 2021, doi: 10.1145/3468267.3470617.
LibreCat | Files available | DOI | Download (ext.)
 

2021 | Conference Paper | LibreCat-ID: 20886
T. Nickchen, S. Heindorf, and G. Engels, “Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts,” in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, Hawaii, 2021, pp. 1994–2002.
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