Meyer M, Kenter T, Petrica L, O’Brien K, Blott M, Plessl C. Optimizing Communication for Latency Sensitive HPC Applications on up to 48 FPGAs Using ACCL. arXiv:240318374. Published online 2024.
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arXiv: 2403.18374

Lass M, Kenter T, Plessl C, Brehm M. Characterizing Microheterogeneity in Liquid Mixtures via Local Density Fluctuations. Entropy. 2024;26(4). doi:10.3390/e26040322
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DOI: 10.3390/e26040322

Olgu K, Kenter T, Nunez-Yanez J, Mcintosh-Smith S. Optimisation and Evaluation of Breadth First Search with oneAPI/SYCL on Intel FPGAs: from Describing Algorithms to Describing Architectures. In: Proceedings of the 12th International Workshop on OpenCL and SYCL. ACM; 2024. doi:10.1145/3648115.3648134
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DOI: 10.1145/3648115.3648134

Schapeler T, Schade R, Lass M, Plessl C, Bartley T. Scalable quantum detector tomography by high-performance computing. arXiv:240402844. Published online 2024.
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arXiv: 2404.02844

Bauer C, Kenter T, Lass M, et al. Noctua 2 Supercomputer. Journal of large-scale research facilities. 2024;9. doi:10.17815/jlsrf-8-187 
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Mazur L, Bollweg D, Clarke DA, et al. SIMULATeQCD: A simple multi-GPU lattice code for QCD calculations. Computer Physics Communications. Published online 2023. doi:10.48550/ARXIV.2306.01098
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Altenkort L, Eller AM, Francis A, et al. Viscosity of pure-glue QCD from the lattice. Physical Review D. 2023;108(1). doi:10.1103/physrevd.108.014503
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Meyer M, Kenter T, Plessl C. Multi-FPGA Designs and Scaling of HPC Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks. ACM Transactions on Reconfigurable Technology and Systems. Published online 2023. doi:10.1145/3576200
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Opdenhövel J-O, Plessl C, Kenter T. Mutation Tree Reconstruction of Tumor Cells on FPGAs Using a Bit-Level Matrix Representation. In: Proceedings of the 13th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies. ACM; 2023. doi:10.1145/3597031.3597050
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Wu X, Kenter T, Schade R, Kühne T, Plessl C. Computing and Compressing Electron Repulsion Integrals on FPGAs. In: 2023 IEEE 31st Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM). ; 2023:162-173. doi:10.1109/FCCM57271.2023.00026
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arXiv: 2303.13632

Schade R, Kenter T, Elgabarty H, Lass M, Kühne T, Plessl C. Breaking the exascale barrier for the electronic structure problem in ab-initio molecular dynamics. The International Journal of High Performance Computing Applications. Published online 2023. doi:10.1177/10943420231177631
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Ochsenfeld S, Schlichting S. Hydrodynamic and Non-hydrodynamic Excitations in Kinetic Theory -- A  Numerical Analysis in Scalar Field Theory. arXiv:230804491. Published online 2023.
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arXiv: 2308.04491

Pleines M, Pallasch M, Zimmer F, Preuss M. Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of  Agents. arXiv:230917207. Published online 2023.
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arXiv: 2309.17207

Alt C, Kenter T, Faghih-Naini S, et al. Shallow Water DG Simulations on FPGAs: Design and Comparison of a Novel Code Generation Pipeline. In: Lecture Notes in Computer Science. Springer Nature Switzerland; 2023. doi:10.1007/978-3-031-32041-5_5
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Van Hirtum L, De Causmaecker P, Goemaere J, et al. A computation of D(9) using FPGA Supercomputing. arXiv:230403039. Published online 2023.
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Faj J, Kenter T, Faghih-Naini S, Plessl C, Aizinger V. Scalable Multi-FPGA Design of a Discontinuous Galerkin Shallow-Water Model on Unstructured Meshes. In: Proceedings of the Platform for Advanced Scientific Computing Conference (PASC). ACM; 2023. doi:10.1145/3592979.3593407
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Prouveur C, Haefele M, Kenter T, Voss N. FPGA Acceleration for HPC Supercapacitor Simulations. In: Proceedings of the Platform for Advanced Scientific Computing Conference (PASC). ACM; 2023. doi:10.1145/3592979.3593419
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Hansmeier T, Kenter T, Meyer M, Riebler H, Platzner M, Plessl C. Compute Centers I: Heterogeneous Execution Environments. In: Haake C-J, Meyer auf der Heide F, Platzner M, Wachsmuth H, Wehrheim H, eds. On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets. Vol 412. Verlagsschriftenreihe des Heinz Nixdorf Instituts. Heinz Nixdorf Institut, Universität Paderborn; 2023:165-182. doi:10.5281/zenodo.8068642
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Borghini N, Borrell M, Roch H. Early time behavior of spatial and momentum anisotropies in kinetic  theory across different Knudsen numbers. arXiv:220113294. Published online 2022.
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Bachmann B, Borghini N, Feld N, Roch H. Even anisotropic-flow harmonics are from Venus, odd ones are from Mars. arXiv:220313306. Published online 2022.
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Hou W, Yao Y, Li Y, et al. Linearly shifting ferromagnetic resonance response of L.7Sr0.3MnO3 thin film for body temperature sensors. Frontiers of materials science. 2022;16(1).
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Wojciechowski M. Dataset for random uniform distributions of 2D circles and 3D spheres. Data Brief. 2022;43:108318.
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Lass M. Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations. Universität Paderborn; 2022. doi:10.17619/UNIPB/1-1281
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Churavy V, Godoy WF, Bauer C, et al. Bridging HPC Communities through the Julia Programming Language. Published online 2022.
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Jonas B, Heinze DF, Schöll E, et al. Nonlinear down-conversion in a single quantum dot. Nature Communications. 2022;13(1). doi:10.1038/s41467-022-28993-3
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Altenkort L, Eller AM, Kaczmarek O, Mazur L, Moore GD, Shu H-T. Lattice QCD noise reduction for bosonic correlators through blocking. Physical Review D. 2022;105(9). doi:10.1103/physrevd.105.094505
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Gavini V, Baroni S, Blum V, et al. Roadmap on Electronic Structure Codes in the Exascale Era. arXiv:220912747. Published online 2022.
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Karp M, Podobas A, Kenter T, et al. A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays: Design, Evaluation, and Future Challenges. In: International Conference on High Performance Computing in Asia-Pacific Region. ACM; 2022. doi:10.1145/3492805.3492808
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Kühne T, Plessl C, Schade R, Schütt O. CK on the road to exascale. arXiv:220514741. Published online 2022.
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Schade R, Bauer C, Tamoev K, Mazur L, Plessl C, Kühne T. Parallel quantum chemistry on noisy intermediate-scale quantum computers. Phys Rev Research. 2022;4:033160. doi:10.1103/PhysRevResearch.4.033160
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Gavini V, Baroni S, Blum V, et al. Roadmap on Electronic Structure Codes in the Exascale Era. arXiv:220912747. Published online 2022.
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Schade R, Kenter T, Elgabarty H, et al. Towards electronic structure-based ab-initio molecular dynamics simulations with hundreds of millions of atoms. Parallel Computing. 2022;111. doi:10.1016/j.parco.2022.102920
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Meyer M, Kenter T, Plessl C. In-depth FPGA Accelerator Performance Evaluation with Single Node Benchmarks from the HPC Challenge Benchmark Suite for Intel and Xilinx FPGAs using OpenCL. Journal of Parallel and Distributed Computing. Published online 2022. doi:10.1016/j.jpdc.2021.10.007
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Moroder M, Grundner M, Damanet F, et al. Stable bipolarons in open quantum systems. Physical Review B 107, 214310 (2023). Published online 2022. doi:10.1103/PhysRevB.107.214310
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Borghini N, Borrell M, Feld N, Roch H, Schlichting S, Werthmann C. Statistical analysis of initial state and final state response in  heavy-ion collisions. Phys Rev C 107 (2023) 034905. Published online 2022. doi:10.1103/PhysRevC.107.034905
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Lesch E, Schilling MT, Brenner S, et al. Plant mitochondrial RNA editing factors can perform targeted C-to-U editing of nuclear transcripts in human cells. Nucleic Acids Research. 2022;50(17):9966-9983. doi:10.1093/nar/gkac752
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Menzel J, Plessl C, Kenter T. The Strong Scaling Advantage of FPGAs in HPC for N-body Simulations. ACM Transactions on Reconfigurable Technology and Systems. 2021;15(1):1-30. doi:10.1145/3491235
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Meyer M. Towards Performance Characterization of FPGAs in Context of HPC using OpenCL Benchmarks. In: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies. ; 2021. doi:10.1145/3468044.3468058
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Nickchen T, Heindorf S, Engels G. 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. ; 2021:1994-2002.
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Dabelow L, Bo S, Eichhorn R. How irreversible are steady-state trajectories of a trapped active particle? Journal of Statistical Mechanics: Theory and Experiment. 2021;2021(3). doi:10.1088/1742-5468/abe6fd
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Schade R, Kenter T, Elgabarty H, et al. Towards Electronic Structure-Based Ab-Initio Molecular Dynamics  Simulations with Hundreds of Millions of Atoms. arXiv:210408245. Published online 2021.
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Farheen H, Leuteritz T, Linden S, Myroshnychenko V, Förstner J. Optimization of optical waveguide antennas for directive emission of  light. arXiv:210602468. Published online 2021.
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Rose H, Tikhonova OV, Meier T, Sharapova P. Steady states of $9b$-type three-level systems excited by quantum  light in lossy cavities. arXiv:210900842. Published online 2021.
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arXiv: 2109.00842

Kaczmarek O, Mazur L, Sharma S. Eigenvalue spectra of QCD and the fate of &;mml:math xmlns:mml="http://www..org/1998/Math/MathML" display="inline"&;&;mml:msub&;&;mml:mi&;U&;/mml:mi&;&;mml:mi&;A&;/mml:mi&;&;/mml:msub&;&;mml:mo stretchy="false"&;(&;/mml:mo&;&;mml:mn&;1&;/mml:mn&;&;mml:mo stretchy="false"&;)&;/mml:mo&;&;/mml:math&; breaking towards the chiral limit. Physical Review D. 2021;104(9). doi:10.1103/physrevd.104.094518
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Altenkort L, Eller AM, Kaczmarek O, Mazur L, Moore GD, Shu H-T. Heavy quark momentum diffusion from the lattice using gradient flow. Physical Review D. 2021;103(1). doi:10.1103/physrevd.103.014511
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Altenkort L, Eller AM, Kaczmarek O, Mazur L, Moore GD, Shu H-T. Sphaleron rate from Euclidean lattice correlators: An exploration. Physical Review D. 2021;103(11). doi:10.1103/physrevd.103.114513
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Karp M, Podobas A, Jansson N, et al. High-Performance Spectral Element Methods on Field-Programmable Gate Arraysf: Implementation, Evaluation, and Future Projection. In: 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS). IEEE; 2021. doi:10.1109/ipdps49936.2021.00116
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Alhaddad S, Förstner J, Groth S, et al. HighPerMeshes – A Domain-Specific Language for Numerical Algorithms on Unstructured Grids. In: Euro-Par 2020: Parallel Processing Workshops. ; 2021. doi:10.1007/978-3-030-71593-9_15
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Ramaswami A, Kenter T, Kühne T, Plessl C. Evaluating the Design Space for Offloading 3D FFT Calculations to an FPGA for High-Performance Computing. In: Applied Reconfigurable Computing. Architectures, Tools, and Applications. Springer International Publishing; 2021. doi:10.1007/978-3-030-79025-7_21
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Alhaddad S, Förstner J, Groth S, et al. The HighPerMeshes framework for numerical algorithms on unstructured grids. Concurrency and Computation: Practice and Experience. Published online 2021:e6616. doi:10.1002/cpe.6616
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Chatwell RS, Guevara-Carrion G, Gaponenko Y, Shevtsova V, Vrabec J. Diffusion of the carbon dioxide–ethanol mixture in the extended critical region. Physical Chemistry Chemical Physics. 2021;23(4):3106-3115. doi:10.1039/d0cp04985a
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Karp M, Podobas A, Jansson N, et al. High-Performance Spectral Element Methods on Field-Programmable Gate Arraysf: Implementation, Evaluation, and Future Projection. In: 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS). IEEE; 2021. doi:10.1109/ipdps49936.2021.00116
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Kenter T, Shambhu A, Faghih-Naini S, Aizinger V. Algorithm-hardware co-design of a discontinuous Galerkin shallow-water model for a dataflow architecture on FPGA. In: Proceedings of the Platform for Advanced Scientific Computing Conference (PASC). ACM; 2021. doi:10.1145/3468267.3470617
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Nickchen T, Engels G, Lohn J. Opportunities of 3D Machine Learning for Manufacturability Analysis and Component Recognition in the Additive Manufacturing Process Chain. In: Industrializing Additive Manufacturing. Cham; 2020. doi:10.1007/978-3-030-54334-1_4
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Mirhosseini H, Kormath Madam Raghupathy R, Sahoo SK, Wiebeler H, Chugh M, Kühne TD. In silico investigation of Cu(In,Ga)Se<sub>2</sub>-based solar cells. Physical Chemistry Chemical Physics. 2020;22(46):26682-26701. doi:10.1039/d0cp04712k
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Bengs V, Hüllermeier E. Multi-Armed Bandits with Censored Consumption of Resources. arXiv:201100813. Published online 2020.
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Kühne T, Iannuzzi M, Ben MD, et al. CK: An electronic structure and molecular dynamics software package - Quickstep: Efficient and accurate electronic structure calculations. The Journal of Chemical Physics. 2020;152(19). doi:10.1063/5.0007045
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Lass M, Schade R, Kühne T, Plessl C. A Submatrix-Based Method for Approximate Matrix Function Evaluation in the Quantum Chemistry Code CK. In: Proc. International Conference for High Performance Computing, Networking, Storage and Analysis (SC). IEEE Computer Society; 2020:1127-1140. doi:10.1109/SC41405.2020.00084
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Meyer M, Kenter T, Plessl C. Evaluating FPGA Accelerator Performance with a Parameterized OpenCL Adaptation of Selected Benchmarks of the HPCChallenge Benchmark Suite. In: 2020 IEEE/ACM International Workshop on Heterogeneous High-Performance Reconfigurable Computing (RC). ; 2020. doi:10.1109/h2rc51942.2020.00007
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Rengaraj V, Lass M, Plessl C, Kühne T. Accurate Sampling with Noisy Forces from Approximate Computing. Computation. 2020;8(2). doi:10.3390/computation8020039
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Riebler H, Vaz GF, Kenter T, Plessl C. Transparent Acceleration for Heterogeneous Platforms with Compilation to OpenCL. ACM Trans Archit Code Optim (TACO). 2019;16(2):14:1–14:26. doi:10.1145/3319423
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Gorlani P, Kenter T, Plessl C. OpenCL Implementation of Cannon’s Matrix Multiplication Algorithm on Intel Stratix 10 FPGAs. In: Proceedings of the International Conference on Field-Programmable Technology (FPT). IEEE; 2019. doi:10.1109/ICFPT47387.2019.00020
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Riebler H. Efficient Parallel Branch-and-Bound Search on FPGAs Using Work Stealing and Instance-Specific Designs.; 2019. doi:10.17619/UNIPB/1-830
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Richters D, Lass M, Walther A, Plessl C, Kühne T. A General Algorithm to Calculate the Inverse Principal p-th Root of Symmetric Positive Definite Matrices. Communications in Computational Physics. 2019;25(2):564-585. doi:10.4208/cicp.OA-2018-0053
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Platzner M, Plessl C. FPGAs im Rechenzentrum. Informatik Spektrum. Published online 2019. doi:10.1007/s00287-019-01187-w
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Lass M, Kühne T, Plessl C. Using Approximate Computing for the Calculation of Inverse Matrix p-th Roots. Embedded Systems Letters. 2018;10(2):33-36. doi:10.1109/LES.2017.2760923
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Keller A. A Data Structure for Planning Based Workload Management of Heterogeneous HPC Systems. In: Klusádek D, Cirne W, Desai N, eds. Proc. Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP). Vol 10773. Lecture Notes in Computer Science. Springer; 2018:132-151. doi:10.1007/978-3-319-77398-8_8
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Filmwala T. Study Effects of Approximation on Conjugate Gradient Algorithm and Accelerate It on FPGA Platform. Universität Paderborn; 2018.
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Gadewar O. Programmable Programs? - Designing FPGA Overlay Architectures with OpenCL. Universität Paderborn; 2018.
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Mertens JC, Boschmann A, Schmidt M, Plessl C. Sprint diagnostic with GPS and inertial sensor fusion. Sports Engineering. 2018;21(4):441-451. doi:10.1007/s12283-018-0291-0
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Ramaswami A. Accelerating Molecular Dynamic Simulations by Offloading Fast Fourier Transformations to FPGA. Universität Paderborn; 2018.
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Luk SMH, Lewandowski P, Kwong NH, et al. Theory of optically controlled anisotropic polariton transport in semiconductor double microcavities. Journal of the Optical Society of America B. 2018;35(1). doi:10.1364/josab.35.000146
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Kenter T, Mahale G, Alhaddad S, et al. OpenCL-based FPGA Design to Accelerate the Nodal Discontinuous Galerkin Method for Unstructured Meshes. In: Proc. Int. Symp. on Field-Programmable Custom Computing Machines (FCCM). IEEE; 2018. doi:10.1109/FCCM.2018.00037
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Lass M, Mohr S, Wiebeler H, Kühne T, Plessl C. A Massively Parallel Algorithm for the Approximate Calculation of Inverse p-th Roots of Large Sparse Matrices. In: Proc. Platform for Advanced Scientific Computing (PASC) Conference. ACM; 2018. doi:10.1145/3218176.3218231
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Riebler H, Vaz GF, Kenter T, Plessl C. Automated Code Acceleration Targeting Heterogeneous OpenCL Devices. In: Proc. ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP). ACM; 2018. doi:10.1145/3178487.3178534
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Riebler H, Lass M, Mittendorf R, Löcke T, Plessl C. Efficient Branch and Bound on FPGAs Using Work Stealing and Instance-Specific Designs. ACM Transactions on Reconfigurable Technology and Systems (TRETS). 2017;10(3):24:1-24:23. doi:10.1145/3053687
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Kenter T, Förstner J, Plessl C. Flexible FPGA design for FDTD using OpenCL. In: Proc. Int. Conf. on Field Programmable Logic and Applications (FPL). IEEE; 2017. doi:10.23919/FPL.2017.8056844
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Schumacher J, Plessl C, Vandelli W. High-Throughput and Low-Latency Network Communication with NetIO. Journal of Physics: Conference Series. 2017;898. doi:10.1088/1742-6596/898/8/082003
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Steinle T. Modeling and Simulation of Metallic, Particle-Damped Spheres for Lightweight Materials.; 2016.
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Dellnitz M, Eckstein J, Flaßkamp K, et al. Multiobjective Optimal Control Methods for the Development of an Intelligent Cruise Control. In: Progress in Industrial Mathematics at ECMI. Vol 22. Mathematics in Industry. Cham: Springer International Publishing; 2016:633-641. doi:10.1007/978-3-319-23413-7_87
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Lass M, Leibenger D, Sorge C. Confidentiality and Authenticity for Distributed Version Control Systems - A Mercurial Extension. In: Proc. 41st Conference on Local Computer Networks (LCN). IEEE; 2016. doi:10.1109/lcn.2016.11
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Tölke C. Sicherheit von Hybriden FPGA-Systemen in Der Industriellen Automatisierungstechnik -- Anforderungen Und Umsetzung. Universität Paderborn; 2016.
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Wüllrich G. Dynamic OpenCL Task Scheduling for Energy and Performance in a Heterogeneous Environment. Universität Paderborn; 2016.
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Kenter T. Reconfigurable Accelerators in the World of General-Purpose Computing. Universität Paderborn; 2016.
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Agne A, Platzner M, Plessl C, Happe M, Lübbers E. ReconOS. In: Koch D, Hannig F, Ziener D, eds. FPGAs for Software Programmers. Springer International Publishing; 2016:227-244. doi:10.1007/978-3-319-26408-0_13
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Riebler H, Vaz GF, Plessl C, Trainiti EMG, Durelli GC, Bolchini C. Using Just-in-Time Code Generation for Transparent Resource Management in Heterogeneous Systems. In: Proc. HiPEAC Workshop on Reonfigurable Computing (WRC). ; 2016.
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Kenter T, Plessl C. Microdisk Cavity FDTD Simulation on FPGA using OpenCL. In: Proc. Workshop on Heterogeneous High-Performance Reconfigurable Computing (RC). ; 2016.
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Lass M, Kühne T, Plessl C. Using Approximate Computing in Scientific Codes. In: Workshop on Approximate Computing (AC). ; 2016.
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Riebler H, Vaz GF, Plessl C, et al. Using Just-in-Time Code Generation for Transparent Resource Management in Heterogeneous Systems. In: Proceedings of International Forum on Research and Technologies for Society and Industry (RTSI). IEEE; 2016:1-5. doi:10.1109/RTSI.2016.7740545
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Vaz GF, Riebler H, Kenter T, Plessl C. Potential and Methods for Embedding Dynamic Offloading Decisions into Application Code. Computers and Electrical Engineering. 2016;55:91-111. doi:10.1016/j.compeleceng.2016.04.021
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Lösch A, Beisel T, Kenter T, Plessl C, Platzner M. Performance-centric scheduling with task migration for a heterogeneous compute node in the data center. In: Proceedings of the 2016 Design, Automation &; Test in Europe Conference &; Exhibition (DATE). EDA Consortium / IEEE; 2016:912-917.
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Kenter T, Vaz GF, Riebler H, Plessl C. Opportunities for deferring application partitioning and accelerator synthesis to runtime (extended abstract). In: Workshop on Reconfigurable Computing (WRC). ; 2016.
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Hegler S, Statz C, Mütze M, et al. Simulative Ultraschall-Untersuchung von Pitch-Catch-Messanordnungen für große zylindrische Stahl-Prüflinge und gradientenbasierte Bildgebung. tm - Technisches Messen. 2015;82(9):440-450. doi:doi:10.1515/teme-2015-0031
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Torresen J, Plessl C, Yao X. Self-Aware and Self-Expressive Systems – Guest Editor’s Introduction. IEEE Computer. 2015;48(7):18-20. doi:10.1109/MC.2015.205
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Peitz S, Dellnitz M. Multiobjective Optimization of the Flow Around a Cylinder Using Model Order Reduction. PAMM. 2015;15(1):613-614. doi:10.1002/pamm.201510296
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Lass M. Localization and Analysis of Code Paths Suitable for Acceleration Using Approximate Computing. Paderborn: Paderborn University; 2015.
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Funke L. An LLVM Based Toolchain for Transparent Acceleration of Digital Image Processing Applications Using FPGA Overlay Architectures. Universität Paderborn; 2015.
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Löcke T. Instance-Specific Computing in Hard- and Software for Faster Solving of Complex Problems. Universität Paderborn; 2015.
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Wallaschek F. Accelerating Programmable Logic Controllers with the Use of FPGAs. Universität Paderborn; 2015.
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