M. Meyer, T. Kenter, L. Petrica, K. O’Brien, M. Blott, and C. Plessl, “Optimizing Communication for Latency Sensitive HPC Applications on up to 48 FPGAs Using ACCL,” arXiv:2403.18374. 2024.
LibreCat: /record/53364
arXiv: 2403.18374

K. Olgu, T. Kenter, J. Nunez-Yanez, and S. Mcintosh-Smith, “Optimisation and Evaluation of Breadth First Search with oneAPI/SYCL on Intel FPGAs: from Describing Algorithms to Describing Architectures,”10.1145/3648115.3648134__2024, doi:10.1145/3648115.3648134 .
LibreCat: /record/53503
DOI: 10.1145/3648115.3648134

T. Schapeler, R. Schade, M. Lass, C. Plessl, and T. Bartley, “Scalable quantum detector tomography by high-performance computing,” arXiv:2404.02844. 2024.
LibreCat: /record/53202
arXiv: 2404.02844

M. Büttner, C. Alt, T. Kenter, H. Köstler, C. Plessl, and V. Aizinger, “Enabling Performance Portability for Shallow Water Equations on CPUs, GPUs, and FPGAs with SYCL,”10.1145/3659914.3659925__2024, doi:10.1145/3659914.3659925 .
LibreCat: /record/54312
DOI: 10.1145/3659914.3659925

X. Wu, T. Kenter, R. Schade, T. Kühne, and C. Plessl, “Computing and Compressing Electron Repulsion Integrals on FPGAs,”10.1109/FCCM57271.2023.00026__in 2023 IEEE 31st Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2023, pp. 162–173, doi:10.1109/FCCM57271.2023.00026 .
LibreCat: /record/43228
DOI: 10.1109/FCCM57271.2023.00026
arXiv: 2303.13632

S. Ochsenfeld and S. Schlichting, “Hydrodynamic and Non-hydrodynamic Excitations in Kinetic Theory -- A  Numerical Analysis in Scalar Field Theory,” arXiv:2308.04491. 2023.
LibreCat: /record/50172
arXiv: 2308.04491

M. Pleines, M. Pallasch, F. Zimmer, and M. Preuss, “Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of  Agents,” arXiv:2309.17207. 2023.
LibreCat: /record/50221
arXiv: 2309.17207

L. Van Hirtum et al., “A computation of D(9) using FPGA Supercomputing,” arXiv:2304.03039. 2023.
LibreCat: /record/43439
arXiv: 2304.03039

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,”10.1145/3592979.3593407__2023, doi:10.1145/3592979.3593407 .
LibreCat: /record/46188
DOI: 10.1145/3592979.3593407

C. Prouveur, M. Haefele, T. Kenter, and N. Voss, “FPGA Acceleration for HPC Supercapacitor Simulations,”10.1145/3592979.3593419__2023, doi:10.1145/3592979.3593419 .
LibreCat: /record/46189
DOI: 10.1145/3592979.3593419

J.-O. Opdenhövel, C. Plessl, and T. Kenter, “Mutation Tree Reconstruction of Tumor Cells on FPGAs Using a Bit-Level Matrix Representation,”10.1145/3597031.3597050__2023, doi:10.1145/3597031.3597050 .
LibreCat: /record/46190
DOI: 10.1145/3597031.3597050

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: /record/32177
arXiv: 2201.13294

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: /record/32178
arXiv: 2203.13306

V. Churavy et al., “Bridging HPC Communities through the Julia Programming Language.” 2022.
LibreCat: /record/36879

V. Gavini et al., “Roadmap on Electronic Structure Codes in the Exascale Era,” arXiv:2209.12747. 2022.
LibreCat: /record/33493
arXiv: 2209.12747

M. Karp et al., “A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays: Design, Evaluation, and Future Challenges,”10.1145/3492805.3492808__2022, doi:10.1145/3492805.3492808 .
LibreCat: /record/46193
DOI: 10.1145/3492805.3492808

T. Kühne, C. Plessl, R. Schade, and O. Schütt, “CK on the road to exascale,” arXiv:2205.14741. 2022.
LibreCat: /record/32404
arXiv: 2205.14741

V. Gavini et al., “Roadmap on Electronic Structure Codes in the Exascale Era,” arXiv:2209.12747. 2022.
LibreCat: /record/46275
arXiv: 2209.12747

M. Meyer, “Towards Performance Characterization of FPGAs in Context of HPC using OpenCL Benchmarks,”10.1145/3468044.3468058__2021, doi:10.1145/3468044.3468058 .
LibreCat: /record/27365
DOI: 10.1145/3468044.3468058

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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