Rengaraj, V., Lass, M., Plessl, C., &; Kühne, T. (2020). Accurate Sampling with Noisy Forces from Approximate Computing. Computation, 8(2), Article 39.https://doi.org/10.3390/computation8020039 
LibreCat: /record/12878
DOI: 10.3390/computation8020039
arXiv: 1907.08497

Riebler, H., Vaz, G. F., Kenter, T., &; Plessl, C. (2019). Transparent Acceleration for Heterogeneous Platforms with Compilation to OpenCL. ACM Trans. Archit. Code Optim. (TACO), 16(2), 14:1–14:26.https://doi.org/10.1145/3319423 
LibreCat: /record/7689
DOI: 10.1145/3319423

Gorlani, P., Kenter, T., &; Plessl, C. (2019). 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.https://doi.org/10.1109/ICFPT47387.2019.00020 
LibreCat: /record/15478
DOI: 10.1109/ICFPT47387.2019.00020

Riebler, H. (2019). Efficient parallel branch-and-bound search on FPGAs using work stealing and instance-specific designs.https://doi.org/10.17619/UNIPB/1-830 
LibreCat: /record/34167
DOI: 10.17619/UNIPB/1-830

Richters, D., Lass, M., Walther, A., Plessl, C., &; Kühne, T. (2019). A General Algorithm to Calculate the Inverse Principal p-th Root of Symmetric Positive Definite Matrices. Communications in Computational Physics, 25(2), 564–585.https://doi.org/10.4208/cicp.OA-2018-0053 
LibreCat: /record/21
DOI: 10.4208/cicp.OA-2018-0053
arXiv: 1703.02456

Platzner, M., &; Plessl, C. (2019). FPGAs im Rechenzentrum. Informatik Spektrum.https://doi.org/10.1007/s00287-019-01187-w 
LibreCat: /record/12871
DOI: 10.1007/s00287-019-01187-w

Lass, M., Kühne, T., &; Plessl, C. (2018). Using Approximate Computing for the Calculation of Inverse Matrix p-th Roots. Embedded Systems Letters, 10(2), 33–36.https://doi.org/10.1109/LES.2017.2760923 
LibreCat: /record/20
DOI: 10.1109/LES.2017.2760923
arXiv: 1703.02283

Keller, A. (2018). A Data Structure for Planning Based Workload Management of Heterogeneous HPC Systems. In D. Klusádek, W. Cirne, &; N. Desai (Eds.), Proc. Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP) (Vol. 10773, pp. 132–151). Orlando, FL, USA: Springer.https://doi.org/10.1007/978-3-319-77398-8_8 
LibreCat: /record/22
DOI: 10.1007/978-3-319-77398-8_8

Filmwala, T. (2018). Study Effects of Approximation on Conjugate Gradient Algorithm and Accelerate it on FPGA Platform. Universität Paderborn.
LibreCat: /record/5414

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

Mertens, J. C., Boschmann, A., Schmidt, M., &; Plessl, C. (2018). Sprint diagnostic with GPS and inertial sensor fusion. Sports Engineering, 21(4), 441–451.https://doi.org/10.1007/s12283-018-0291-0 
LibreCat: /record/6516
DOI: 10.1007/s12283-018-0291-0

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

Luk, S. M. H., Lewandowski, P., Kwong, N. H., Baudin, E., Lafont, O., Tignon, J., Leung, P. T., Chan, Ch. K. P., Babilon, M., Schumacher, S., &; Binder, R. (2018). Theory of optically controlled anisotropic polariton transport in semiconductor double microcavities. Journal of the Optical Society of America B, 35(1), Article 146.https://doi.org/10.1364/josab.35.000146 
LibreCat: /record/13348
DOI: 10.1364/josab.35.000146

Kenter, T., Mahale, G., Alhaddad, S., Grynko, Y., Schmitt, C., Afzal, A., Hannig, F., Förstner, J., &; Plessl, C. (2018). OpenCL-based FPGA Design to Accelerate the Nodal Discontinuous Galerkin Method for Unstructured Meshes. Proc. Int. Symp. on Field-Programmable Custom Computing Machines (FCCM). Proc. Int. Symp. on Field-Programmable Custom Computing Machines (FCCM).https://doi.org/10.1109/FCCM.2018.00037 
LibreCat: /record/1588
DOI: 10.1109/FCCM.2018.00037

Lass, M., Mohr, S., Wiebeler, H., Kühne, T., &; Plessl, C. (2018). A Massively Parallel Algorithm for the Approximate Calculation of Inverse p-th Roots of Large Sparse Matrices. Proc. Platform for Advanced Scientific Computing (PASC) Conference. Platform for Advanced Scientific Computing Conference (PASC), Basel, Switzerland.https://doi.org/10.1145/3218176.3218231 
LibreCat: /record/1590
DOI: 10.1145/3218176.3218231
arXiv: 1710.10899

Riebler, H., Vaz, G. F., Kenter, T., &; Plessl, C. (2018). Automated Code Acceleration Targeting Heterogeneous OpenCL Devices. Proc. ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP).https://doi.org/10.1145/3178487.3178534 
LibreCat: /record/1204
DOI: 10.1145/3178487.3178534

Riebler, H., Lass, M., Mittendorf, R., Löcke, T., &; Plessl, C. (2017). Efficient Branch and Bound on FPGAs Using Work Stealing and Instance-Specific Designs. ACM Transactions on Reconfigurable Technology and Systems (TRETS), 10(3), 24:1-24:23.https://doi.org/10.1145/3053687 
LibreCat: /record/18
DOI: 10.1145/3053687

Kenter, T., Förstner, J., &; Plessl, C. (2017). Flexible FPGA design for FDTD using OpenCL. Proc. Int. Conf. on Field Programmable Logic and Applications (FPL).https://doi.org/10.23919/FPL.2017.8056844 
LibreCat: /record/1592
DOI: 10.23919/FPL.2017.8056844

Schumacher, J., Plessl, C., &; Vandelli, W. (2017). High-Throughput and Low-Latency Network Communication with NetIO. Journal of Physics: Conference Series, 898, Article 082003.https://doi.org/10.1088/1742-6596/898/8/082003 
LibreCat: /record/1589
DOI: 10.1088/1742-6596/898/8/082003

Steinle, T. (2016). Modeling and simulation of metallic, particle-damped spheres for lightweight materials.
LibreCat: /record/33