Rengaraj V, Lass M, Plessl C, Kühne T. Accurate Sampling with Noisy Forces from Approximate Computing. Computation. 2020;8(2). doi:10.3390/computation8020039
LibreCat: /record/12878
DOI: 10.3390/computation8020039
arXiv: 1907.08497

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
LibreCat: /record/7689
DOI: 10.1145/3319423

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
LibreCat: /record/15478
DOI: 10.1109/ICFPT47387.2019.00020

Riebler H. Efficient Parallel Branch-and-Bound Search on FPGAs Using Work Stealing and Instance-Specific Designs.; 2019. doi:10.17619/UNIPB/1-830
LibreCat: /record/34167
DOI: 10.17619/UNIPB/1-830

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: /record/21
DOI: 10.4208/cicp.OA-2018-0053
arXiv: 1703.02456

Platzner M, Plessl C. FPGAs im Rechenzentrum. Informatik Spektrum. Published online 2019. doi:10.1007/s00287-019-01187-w
LibreCat: /record/12871
DOI: 10.1007/s00287-019-01187-w

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: /record/20
DOI: 10.1109/LES.2017.2760923
arXiv: 1703.02283

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
LibreCat: /record/22
DOI: 10.1007/978-3-319-77398-8_8

Filmwala T. Study Effects of Approximation on Conjugate Gradient Algorithm and Accelerate It on FPGA Platform. Universität Paderborn; 2018.
LibreCat: /record/5414

Gadewar O. Programmable Programs? - Designing FPGA Overlay Architectures with OpenCL. Universität Paderborn; 2018.
LibreCat: /record/5421

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
LibreCat: /record/6516
DOI: 10.1007/s12283-018-0291-0

Ramaswami A. Accelerating Molecular Dynamic Simulations by Offloading Fast Fourier Transformations to FPGA. Universität Paderborn; 2018.
LibreCat: /record/5417

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
LibreCat: /record/13348
DOI: 10.1364/josab.35.000146

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
LibreCat: /record/1588
DOI: 10.1109/FCCM.2018.00037

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: /record/1590
DOI: 10.1145/3218176.3218231
arXiv: 1710.10899

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
LibreCat: /record/1204
DOI: 10.1145/3178487.3178534

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
LibreCat: /record/18
DOI: 10.1145/3053687

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
LibreCat: /record/1592
DOI: 10.23919/FPL.2017.8056844

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
LibreCat: /record/1589
DOI: 10.1088/1742-6596/898/8/082003

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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DOI: 10.1007/978-3-319-23413-7_87

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: 10.1109/lcn.2016.11

Tölke C. Sicherheit von Hybriden FPGA-Systemen in Der Industriellen Automatisierungstechnik -- Anforderungen Und Umsetzung. Universität Paderborn; 2016.
LibreCat: /record/5418

Wüllrich G. Dynamic OpenCL Task Scheduling for Energy and Performance in a Heterogeneous Environment. Universität Paderborn; 2016.
LibreCat: /record/5420

Kenter T. Reconfigurable Accelerators in the World of General-Purpose Computing. Universität Paderborn; 2016.
LibreCat: /record/161

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: 10.1007/978-3-319-26408-0_13

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
LibreCat: /record/138
DOI: 10.1109/RTSI.2016.7740545

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
LibreCat: /record/156
DOI: 10.1007/978-3-319-39675-0_8

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
LibreCat: /record/165
DOI: 10.1016/j.compeleceng.2016.04.021

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.
LibreCat: /record/168

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.
LibreCat: /record/171

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: doi:10.1515/teme-2015-0031

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
LibreCat: /record/1772
DOI: 10.1109/MC.2015.205

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: 10.1002/pamm.201510296

Lass M. Localization and Analysis of Code Paths Suitable for Acceleration Using Approximate Computing. Paderborn: Paderborn University; 2015.
LibreCat: /record/1794

Funke L. An LLVM Based Toolchain for Transparent Acceleration of Digital Image Processing Applications Using FPGA Overlay Architectures. Universität Paderborn; 2015.
LibreCat: /record/5413

Löcke T. Instance-Specific Computing in Hard- and Software for Faster Solving of Complex Problems. Universität Paderborn; 2015.
LibreCat: /record/5416

Wallaschek F. Accelerating Programmable Logic Controllers with the Use of FPGAs. Universität Paderborn; 2015.
LibreCat: /record/5419

Beisel T. Management and Scheduling of Accelerators for Heterogeneous High-Performance Computing. Berlin: Logos Verlag Berlin GmbH; 2015.
LibreCat: /record/10624

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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DOI: 10.1155/2015/859425

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.
LibreCat: /record/303
arXiv: 1412.3906

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
LibreCat: /record/1773
DOI: 10.1145/2675743.2771824

Plessl C, Platzner M, Schreier PJ. Aktuelles Schlagwort: Approximate Computing. Informatik Spektrum. 2015;(5):396-399. doi:10.1007/s00287-015-0911-z
LibreCat: /record/1768
DOI: 10.1007/s00287-015-0911-z

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
LibreCat: /record/238
DOI: 10.7873/DATE.2015.1124

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
LibreCat: /record/1775
DOI: 10.1088/1742-6596/664/8/082050

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
LibreCat: /record/1781
DOI: 10.1007/978-3-319-09063-4_19

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
LibreCat: /record/1782
DOI: 10.1007/978-3-319-09165-5_2