C. Weckert, L. Solis-Vasquez, J. Oppermann, A. Koch, and O. Sinnen, “Altis-SYCL: Migrating Altis Benchmarking Suite from CUDA to SYCL for GPUs and FPGAs,”10.1145/3624062.3624542__2023, doi:10.1145/3624062.3624542 .
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N. Contini et al., “Enabling Reconfigurable HPC through MPI-based Inter-FPGA Communication,”10.1145/3577193.3593720__2023, doi:10.1145/3577193.3593720 .
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C. Alt et al., “Shallow Water DG Simulations on FPGAs: Design and Comparison of a Novel Code Generation Pipeline,” in Lecture Notes in Computer Science, Cham: Springer Nature Switzerland, 2023.
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L. Van Hirtum et al., “A computation of D(9) using FPGA Supercomputing,” arXiv:2304.03039. 2023.
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O. G.-M. Oscar Garcia-Montero, A. Mazeliauskas, P. Plaschke, and S. Schlichting, “Pre-equilibrium photons from the early stages of heavy-ion collisions,” arXiv:2308.09747. 2023.
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N. C. Banh and I. Scharlau, “First steps towards real-time assessment of attentional weights and capacity according to TVA,”10.23668/PSYCHARCHIVES.12945__in Abstracts of the 65th TeaP, Trier, Germany, 2023, doi:10.23668/PSYCHARCHIVES.12945 .
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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 .
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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 .
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F. Jentzsch, “Hardware-Aware AutoML for Exploration of Custom FPGA Accelerators for RadioML,”10.1109/fpl60245.2023.00066__2023, doi:10.1109/fpl60245.2023.00066 .
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F. Simon-Mertens, Effizienzanalyse leichtgewichtiger Neuronaler Netze für FPGA-basierte Modulationsklassifikation. Paderborn University, 2023.
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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 .
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C. Boeddeker, T. Cord-Landwehr, T. von Neumann, and R. Haeb-Umbach, “Multi-stage diarization refinement for the CHiME-7 DASR scenario,”10.21437/chime.2023-10__2023, doi:10.21437/chime.2023-10 .
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H. Farheen, T. Leuteritz, S. Linden, V. Myroshnychenko, and J. Förstner, “Optimization of optical waveguide antennas for directive emission of light,”10.1364/josab.438514__Journal of the Optical Society of America B, vol. 39, no. 1, p. 83, 2022, doi:10.1364/josab.438514 .
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S. Alhaddad, Y. Grynko, H. Farheen, and J. Förstner, “Numerical analysis of the coherent mechanism producing negative polarization at backscattering from systems of absorbing particles,”10.1364/ol.444953__Optics Letters, vol. 47, no. 1, p. 58, 2022, doi:10.1364/ol.444953 .
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L. M. Witschen, T. Wiersema, M. Artmann, and M. Platzner, “MUSCAT: MUS-based Circuit Approximation Technique,” presented at the Design, Automation and Test in Europe (DATE), Online.
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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.
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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.
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W. Hou et al., “Linearly shifting ferromagnetic resonance response of L.7Sr0.3MnO3 thin film for body temperature sensors,” Frontiers of materials science, vol. 16, no. 1, 2022.
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M. Wojciechowski, “Dataset for random uniform distributions of 2D circles and 3D spheres.,” Data Brief, vol. 43, p. 108318, 2022.
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Y. Grynko, Y. Shkuratov, S. Alhaddad, and J. Förstner, “Light backscattering from numerical analog of planetary regoliths,”Â  10.5194/epsc2022-151__presented at the 16th Europlanet Science Congress 2022, Granada, Spain, 2022, doi:Â  10.5194/epsc2022-151 .
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