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325 Publications
2022 | Journal Article | LibreCat-ID: 32234
Wojciechowski M. Dataset for random uniform distributions of 2D circles and 3D spheres. Data Brief. 2022;43:108318.
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| PubMed | Europe PMC
2022 | Dissertation | LibreCat-ID: 32414
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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| DOI
2022 | Preprint | LibreCat-ID: 36879 | 
Churavy V, Godoy WF, Bauer C, et al. Bridging HPC Communities through the Julia Programming Language. Published online 2022.
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2022 | Journal Article | LibreCat-ID: 40523
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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| DOI
2022 | Journal Article | LibreCat-ID: 46121
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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| DOI
2022 | Conference Paper | LibreCat-ID: 46193 |
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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2022 | Preprint | LibreCat-ID: 32404
Kühne T, Plessl C, Schade R, Schütt O. CP2K on the road to exascale. arXiv:220514741. Published online 2022.
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| arXiv
2022 | Journal Article | LibreCat-ID: 33226 |
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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2022 | Journal Article | LibreCat-ID: 33684 |
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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2022 | Journal Article | LibreCat-ID: 27364
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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2022 | Journal Article | LibreCat-ID: 50146
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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| DOI
| arXiv
2022 | Journal Article | LibreCat-ID: 50148
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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| DOI
| arXiv
2022 | Journal Article | LibreCat-ID: 50149
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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| DOI
2021 | Journal Article | LibreCat-ID: 28099 |
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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2021 | Conference Paper | LibreCat-ID: 27365
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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| DOI
2021 | Conference Paper | LibreCat-ID: 20886
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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2021 | Journal Article | LibreCat-ID: 32243
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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| DOI
2021 | Journal Article | LibreCat-ID: 46122
Kaczmarek O, Mazur L, Sharma S. Eigenvalue spectra of QCD and the fate of <mml:math xmlns:mml="http://www.w3.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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| DOI
2021 | Journal Article | LibreCat-ID: 46124
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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| DOI
2021 | Journal Article | LibreCat-ID: 46123
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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| DOI
2021 | Conference Paper | LibreCat-ID: 46195
Karp M, Podobas A, Jansson N, et al. High-Performance Spectral Element Methods on Field-Programmable Gate Arrays : 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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2021 | Book Chapter | LibreCat-ID: 21587
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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2021 | Book Chapter | LibreCat-ID: 29936
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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| DOI
2021 | Journal Article | LibreCat-ID: 24788 |
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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2021 | Journal Article | LibreCat-ID: 32240
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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| DOI
2021 | Conference Paper | LibreCat-ID: 29937
Karp M, Podobas A, Jansson N, et al. High-Performance Spectral Element Methods on Field-Programmable Gate Arrays : 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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| DOI
2021 | Conference Paper | LibreCat-ID: 46194
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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2020 | Book Chapter | LibreCat-ID: 18789
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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| DOI
2020 | Journal Article | LibreCat-ID: 32246
Mirhosseini H, Kormath Madam Raghupathy R, Sahoo SK, Wiebeler H, Chugh M, Kühne TD. In silico investigation of Cu(In,Ga)Se2-based solar cells. Physical Chemistry Chemical Physics. 2020;22(46):26682-26701. doi:10.1039/d0cp04712k
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| DOI
2020 | Journal Article | LibreCat-ID: 16277 |
Kühne T, Iannuzzi M, Ben MD, et al. CP2K: 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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| arXiv
2020 | Conference Paper | LibreCat-ID: 16898
Lass M, Schade R, Kühne T, Plessl C. A Submatrix-Based Method for Approximate Matrix Function Evaluation in the Quantum Chemistry Code CP2K. 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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| arXiv
2020 | Conference Paper | LibreCat-ID: 21632
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 (H2RC). ; 2020. doi:10.1109/h2rc51942.2020.00007
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2020 | Journal Article | LibreCat-ID: 12878 |
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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| arXiv
2019 | Journal Article | LibreCat-ID: 7689
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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2019 | Conference Paper | LibreCat-ID: 15478
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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2019 | Dissertation | LibreCat-ID: 34167
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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| DOI
2019 | Journal Article | LibreCat-ID: 21
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
LibreCat
| DOI
| arXiv
2019 | Journal Article | LibreCat-ID: 12871 |
Platzner M, Plessl C. FPGAs im Rechenzentrum. Informatik Spektrum. Published online 2019. doi:10.1007/s00287-019-01187-w
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2018 | Journal Article | LibreCat-ID: 20
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
LibreCat
| DOI
| arXiv
2018 | Conference Paper | LibreCat-ID: 22
Keller A. A Data Structure for Planning Based Workload Management of Heterogeneous HPC Systems. In: Klusáček 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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| DOI
2018 | Mastersthesis | LibreCat-ID: 5414
Filmwala T. Study Effects of Approximation on Conjugate Gradient Algorithm and Accelerate It on FPGA Platform. Universität Paderborn; 2018.
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2018 | Mastersthesis | LibreCat-ID: 5421
Gadewar O. Programmable Programs? - Designing FPGA Overlay Architectures with OpenCL. Universität Paderborn; 2018.
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2018 | Journal Article | LibreCat-ID: 6516
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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2018 | Mastersthesis | LibreCat-ID: 5417 |
Ramaswami A. Accelerating Molecular Dynamic Simulations by Offloading Fast Fourier Transformations to FPGA. Universität Paderborn; 2018.
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2018 | Journal Article | LibreCat-ID: 13348
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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| DOI
2018 | Conference Paper | LibreCat-ID: 1588
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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2018 | Conference Paper | LibreCat-ID: 1590
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
LibreCat
| DOI
| arXiv
2018 | Conference Paper | LibreCat-ID: 1204
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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2017 | Journal Article | LibreCat-ID: 18
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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2017 | Conference Paper | LibreCat-ID: 1592
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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2017 | Journal Article | LibreCat-ID: 1589
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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| DOI
2016 | Dissertation | LibreCat-ID: 33
Steinle T. Modeling and Simulation of Metallic, Particle-Damped Spheres for Lightweight Materials.; 2016.
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2016 | Conference Paper | LibreCat-ID: 34
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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| DOI
2016 | Conference Paper | LibreCat-ID: 19
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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| DOI
2016 | Mastersthesis | LibreCat-ID: 5418
Tölke C. Sicherheit von Hybriden FPGA-Systemen in Der Industriellen Automatisierungstechnik -- Anforderungen Und Umsetzung. Universität Paderborn; 2016.
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2016 | Mastersthesis | LibreCat-ID: 5420
Wüllrich G. Dynamic OpenCL Task Scheduling for Energy and Performance in a Heterogeneous Environment. Universität Paderborn; 2016.
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2016 | Dissertation | LibreCat-ID: 161
Kenter T. Reconfigurable Accelerators in the World of General-Purpose Computing. Universität Paderborn; 2016.
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2016 | Book Chapter | LibreCat-ID: 29
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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| DOI
2016 | Conference Paper | LibreCat-ID: 31
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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2016 | Conference Paper | LibreCat-ID: 24
Kenter T, Plessl C. Microdisk Cavity FDTD Simulation on FPGA using OpenCL. In: Proc. Workshop on Heterogeneous High-Performance Reconfigurable Computing (H2RC). ; 2016.
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2016 | Conference Paper | LibreCat-ID: 25
Lass M, Kühne T, Plessl C. Using Approximate Computing in Scientific Codes. In: Workshop on Approximate Computing (AC). ; 2016.
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2016 | Conference Paper | LibreCat-ID: 138
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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2016 | Book Chapter | LibreCat-ID: 156
Agne A, Happe M, Lösch A, Plessl C, Platzner M. Self-aware Compute Nodes. In: Self-Aware Computing Systems. Natural Computing Series (NCS). Springer International Publishing; 2016:145-165. doi:10.1007/978-3-319-39675-0_8
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2016 | Journal Article | LibreCat-ID: 165
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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2016 | Conference Paper | LibreCat-ID: 168
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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2016 | Conference Paper | LibreCat-ID: 171
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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2015 | Journal Article | LibreCat-ID: 1769
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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| DOI
2015 | Journal Article | LibreCat-ID: 1772
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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2015 | Journal Article | LibreCat-ID: 1774
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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| DOI
2015 | Mastersthesis | LibreCat-ID: 1794
Lass M. Localization and Analysis of Code Paths Suitable for Acceleration Using Approximate Computing. Paderborn: Paderborn University; 2015.
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2015 | Mastersthesis | LibreCat-ID: 5413
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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2015 | Mastersthesis | LibreCat-ID: 5416
Löcke T. Instance-Specific Computing in Hard- and Software for Faster Solving of Complex Problems. Universität Paderborn; 2015.
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2015 | Mastersthesis | LibreCat-ID: 5419
Wallaschek F. Accelerating Programmable Logic Controllers with the Use of FPGAs. Universität Paderborn; 2015.
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2015 | Dissertation | LibreCat-ID: 10624
Beisel T. Management and Scheduling of Accelerators for Heterogeneous High-Performance Computing. Berlin: Logos Verlag Berlin GmbH; 2015.
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2015 | Journal Article | LibreCat-ID: 296
Kenter T, Schmitz H, Plessl C. Exploring Tradeoffs between Specialized Kernels and a Reusable Overlay in a Stereo-Matching Case Study. International Journal of Reconfigurable Computing (IJRC). 2015;2015. doi:10.1155/2015/859425
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2015 | Conference Paper | LibreCat-ID: 303 |
Damschen M, Plessl C. Easy-to-Use On-The-Fly Binary Program Acceleration on Many-Cores. In: Proceedings of the 5th International Workshop on Adaptive Self-Tuning Computing Systems (ADAPT). ; 2015.
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| Files available
| arXiv
2015 | Conference Paper | LibreCat-ID: 1773
Schumacher J, T. Anderson J, Borga A, et al. Improving Packet Processing Performance in the ATLAS FELIX Project – Analysis and Optimization of a Memory-Bounded Algorithm. In: Proc. Int. Conf. on Distributed Event-Based Systems (DEBS). ACM; 2015. doi:10.1145/2675743.2771824
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| DOI
2015 | Journal Article | LibreCat-ID: 1768
Plessl C, Platzner M, Schreier PJ. Aktuelles Schlagwort: Approximate Computing. Informatik Spektrum. 2015;(5):396-399. doi:10.1007/s00287-015-0911-z
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| DOI
2015 | Conference Paper | LibreCat-ID: 238
Damschen M, Riebler H, Vaz GF, Plessl C. Transparent offloading of computational hotspots from binary code to Xeon Phi. In: Proceedings of the 2015 Conference on Design, Automation and Test in Europe (DATE). EDA Consortium / IEEE; 2015:1078-1083. doi:10.7873/DATE.2015.1124
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2015 | Journal Article | LibreCat-ID: 1775
Anderson J, Borga A, Boterenbrood H, et al. FELIX: a High-Throughput Network Approach for Interfacing to Front End Electronics for ATLAS Upgrades. Journal of Physics: Conference Series. 2015;664. doi:10.1088/1742-6596/664/8/082050
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| DOI
2014 | Conference Paper | LibreCat-ID: 1781
Steinle T, Vrabec J, Walther A. Numerical Simulation of the Damping Behavior of Particle-Filled Hollow Spheres. In: Bock HG, Hoang XP, Rannacher R, Schlöder JP, eds. Proc. Modeling, Simulation and Optimization of Complex Processes (HPSC). Springer International Publishing; 2014:233-243. doi:10.1007/978-3-319-09063-4_19
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| DOI
2014 | Conference Paper | LibreCat-ID: 1782
Graf T, Schaefers L, Platzner M. On Semeai Detection in Monte-Carlo Go. In: Proc. Conf. on Computers and Games (CG). Lecture Notes in Computer Science. Switzerland: Springer; 2014:14-25. doi:10.1007/978-3-319-09165-5_2
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| DOI
2014 | Book Chapter | LibreCat-ID: 335
Platzner M, Plessl C. Verschiebungen an der Grenze zwischen Hardware und Software. In: Künsemöller J, Eke NO, Foit L, Kaerlein T, eds. Logiken strukturbildender Prozesse: Automatismen. Schriftenreihe des Graduiertenkollegs “Automatismen.” Wilhelm Fink; 2014:123-144.
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2014 | Conference Paper | LibreCat-ID: 388
Kenter T, Vaz GF, Plessl C. Partitioning and Vectorizing Binary Applications for a Reconfigurable Vector Computer. In: Proceedings of the International Symposium on Reconfigurable Computing: Architectures, Tools, and Applications (ARC). Vol 8405. Lecture Notes in Computer Science (LNCS). Springer International Publishing; 2014:144-155. doi:10.1007/978-3-319-05960-0_13
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2014 | Journal Article | LibreCat-ID: 363
Agne A, Hangmann H, Happe M, Platzner M, Plessl C. Seven Recipes for Setting Your FPGA on Fire – A Cookbook on Heat Generators. Microprocessors and Microsystems. 2014;38(8, Part B):911-919. doi:10.1016/j.micpro.2013.12.001
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2014 | Conference Paper | LibreCat-ID: 377
Riebler H, Kenter T, Plessl C, Sorge C. Reconstructing AES Key Schedules from Decayed Memory with FPGAs. In: Proceedings of Field-Programmable Custom Computing Machines (FCCM). IEEE; 2014:222-229. doi:10.1109/FCCM.2014.67
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2014 | Journal Article | LibreCat-ID: 365
Agne A, Happe M, Lösch A, Plessl C, Platzner M. Self-awareness as a Model for Designing and Operating Heterogeneous Multicores. ACM Transactions on Reconfigurable Technology and Systems (TRETS). 2014;7(2). doi:10.1145/2617596
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2014 | Journal Article | LibreCat-ID: 328
Agne A, Happe M, Keller A, et al. ReconOS - An Operating System Approach for Reconfigurable Computing. IEEE Micro. 2014;34(1):60-71. doi:10.1109/MM.2013.110
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2014 | Conference Paper | LibreCat-ID: 1778
C. Durelli G, Pogliani M, Miele A, et al. Runtime Resource Management in Heterogeneous System Architectures: The SAVE Approach. In: Proc. Int. Symp. on Parallel and Distributed Processing with Applications (ISPA). IEEE; 2014:142-149. doi:10.1109/ISPA.2014.27
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2014 | Conference Paper | LibreCat-ID: 439
Vaz GF, Riebler H, Kenter T, Plessl C. Deferring Accelerator Offloading Decisions to Application Runtime. In: Proceedings of the International Conference on ReConFigurable Computing and FPGAs (ReConFig). IEEE; 2014:1-8. doi:10.1109/ReConFig.2014.7032509
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2014 | Conference Paper | LibreCat-ID: 406
Kenter T, Schmitz H, Plessl C. Kernel-Centric Acceleration of High Accuracy Stereo-Matching. In: Proceedings of the International Conference on ReConFigurable Computing and FPGAs (ReConFig). IEEE; 2014:1-8. doi:10.1109/ReConFig.2014.7032535
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2014 | Conference Paper | LibreCat-ID: 1780
C. Durelli G, Copolla M, Djafarian K, et al. SAVE: Towards efficient resource management in heterogeneous system architectures. In: Proc. Int. Conf. on Reconfigurable Computing: Architectures, Tools and Applications (ARC). Springer; 2014. doi:10.1007/978-3-319-05960-0_38
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2014 | Journal Article | LibreCat-ID: 1779
Giefers H, Plessl C, Förstner J. Accelerating Finite Difference Time Domain Simulations with Reconfigurable Dataflow Computers. ACM SIGARCH Computer Architecture News. 2014;41(5):65-70. doi:10.1145/2641361.2641372
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2013 | Conference Paper | LibreCat-ID: 1784
Kaiser J, Meister D, Gottfried V, Brinkmann A. MCD: Overcoming the Data Download Bottleneck in Data Centers. In: Proc. IEEE Int. Conf. on Networking, Architecture and Storage (NAS). Washington DC, USA: IEEE Computer Society; 2013:88-97. doi:10.1109/NAS.2013.18
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