H. Farheen, T. Leuteritz, S. Linden, V. Myroshnychenko, and J. Förstner, “Optimization of optical waveguide antennas for directive emission of  light,” arXiv:2106.02468. 2021.

H. Rose, O. V. Tikhonova, T. Meier, and P. Sharapova, “Steady states of $9b$-type three-level systems excited by quantum  light in lossy cavities,” arXiv:2109.00842. 2021.

M. Karp et al., “High-Performance Spectral Element Methods on Field-Programmable Gate Arraysf: Implementation, Evaluation, and Future Projection,”10.1109/ipdps49936.2021.00116__2021, doi:10.1109/ipdps49936.2021.00116 .

M. Karp et al., “High-Performance Spectral Element Methods on Field-Programmable Gate Arraysf: Implementation, Evaluation, and Future Projection,”10.1109/ipdps49936.2021.00116__2021, doi:10.1109/ipdps49936.2021.00116 .

T. Kenter, A. Shambhu, S. Faghih-Naini, and V. Aizinger, “Algorithm-hardware co-design of a discontinuous Galerkin shallow-water model for a dataflow architecture on FPGA,”10.1145/3468267.3470617__2021, doi:10.1145/3468267.3470617 .

V. Bengs and E. Hüllermeier, “Multi-Armed Bandits with Censored Consumption of Resources,” arXiv:2011.00813. 2020.

M. Lass, R. Schade, T. Kühne, and C. Plessl, “A Submatrix-Based Method for Approximate Matrix Function Evaluation in the Quantum Chemistry Code CK,”10.1109/SC41405.2020.00084__in Proc. International Conference for High Performance Computing, Networking, Storage and Analysis (SC), Atlanta, GA, US, 2020, pp. 1127–1140, doi:10.1109/SC41405.2020.00084 .

M. Meyer, T. Kenter, and C. Plessl, “Evaluating FPGA Accelerator Performance with a Parameterized OpenCL Adaptation of Selected Benchmarks of the HPCChallenge Benchmark Suite,”10.1109/h2rc51942.2020.00007__2020, doi:10.1109/h2rc51942.2020.00007 .

P. Gorlani, T. Kenter, and C. Plessl, “OpenCL Implementation of Cannon’s Matrix Multiplication Algorithm on Intel Stratix 10 FPGAs,” in Proceedings of the International Conference on Field-Programmable Technology (FPT), 2019.

A. Keller, “A Data Structure for Planning Based Workload Management of Heterogeneous HPC Systems,” in Proc. Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP), Orlando, FL, USA, 2018, vol. 10773, pp. 132–151.

T. Kenter et al., “OpenCL-based FPGA Design to Accelerate the Nodal Discontinuous Galerkin Method for Unstructured Meshes,”10.1109/FCCM.2018.00037__presented at the Proc. Int. Symp. on Field-Programmable Custom Computing Machines (FCCM), 2018, doi:10.1109/FCCM.2018.00037 .

M. Lass, S. Mohr, H. Wiebeler, T. Kühne, and C. Plessl, “A Massively Parallel Algorithm for the Approximate Calculation of Inverse p-th Roots of Large Sparse Matrices,”10.1145/3218176.3218231__presented at the Platform for Advanced Scientific Computing Conference (PASC), Basel, Switzerland, 2018, doi:10.1145/3218176.3218231 .

H. Riebler, G. F. Vaz, T. Kenter, and C. Plessl, “Automated Code Acceleration Targeting Heterogeneous OpenCL Devices,”10.1145/3178487.3178534__2018, doi:10.1145/3178487.3178534 .

T. Kenter, J. Förstner, and C. Plessl, “Flexible FPGA design for FDTD using OpenCL,”10.23919/FPL.2017.8056844__2017, doi:10.23919/FPL.2017.8056844 .

M. Dellnitz et al., “Multiobjective Optimal Control Methods for the Development of an Intelligent Cruise Control,” in Progress in Industrial Mathematics at ECMI, 2016, vol. 22, pp. 633–641.

M. Lass, D. Leibenger, and C. Sorge, “Confidentiality and Authenticity for Distributed Version Control Systems - A Mercurial Extension,” in Proc. 41st Conference on Local Computer Networks (LCN), 2016.

H. Riebler, G. F. Vaz, C. Plessl, E. M. G. Trainiti, G. C. Durelli, and C. Bolchini, “Using Just-in-Time Code Generation for Transparent Resource Management in Heterogeneous Systems,” 2016.

T. Kenter and C. Plessl, “Microdisk Cavity FDTD Simulation on FPGA using OpenCL,” 2016.

M. Lass, T. Kühne, and C. Plessl, “Using Approximate Computing in Scientific Codes,” 2016.

H. Riebler et al., “Using Just-in-Time Code Generation for Transparent Resource Management in Heterogeneous Systems,”10.1109/RTSI.2016.7740545__in Proceedings of International Forum on Research and Technologies for Society and Industry (RTSI), 2016, pp. 1–5, doi:10.1109/RTSI.2016.7740545 .

A. Lösch, T. Beisel, T. Kenter, C. Plessl, and M. Platzner, “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), 2016, pp. 912–917.

T. Kenter, G. F. Vaz, H. Riebler, and C. Plessl, “Opportunities for deferring application partitioning and accelerator synthesis to runtime (extended abstract),” 2016.

M. Damschen and C. Plessl, “Easy-to-Use On-The-Fly Binary Program Acceleration on Many-Cores,” 2015.

J. Schumacher et al., “Improving Packet Processing Performance in the ATLAS FELIX Project – Analysis and Optimization of a Memory-Bounded Algorithm,”10.1145/2675743.2771824__2015, doi:10.1145/2675743.2771824 .

M. Damschen, H. Riebler, G. F. Vaz, and C. Plessl, “Transparent offloading of computational hotspots from binary code to Xeon Phi,”10.7873/DATE.2015.1124__in Proceedings of the 2015 Conference on Design, Automation and Test in Europe (DATE), 2015, pp. 1078–1083, doi:10.7873/DATE.2015.1124 .

T. Steinle, J. Vrabec, and A. Walther, “Numerical Simulation of the Damping Behavior of Particle-Filled Hollow Spheres,” in Proc. Modeling, Simulation and Optimization of Complex Processes (HPSC), 2014, pp. 233–243.

T. Graf, L. Schaefers, and M. Platzner, “On Semeai Detection in Monte-Carlo Go,” in Proc. Conf. on Computers and Games (CG), 2014, no. 8427, pp. 14–25.

T. Kenter, G. F. Vaz, and C. Plessl, “Partitioning and Vectorizing Binary Applications for a Reconfigurable Vector Computer,”10.1007/978-3-319-05960-0_13__in Proceedings of the International Symposium on Reconfigurable Computing: Architectures, Tools, and Applications (ARC), 2014, vol. 8405, pp. 144–155, doi:10.1007/978-3-319-05960-0_13 .

H. Riebler, T. Kenter, C. Plessl, and C. Sorge, “Reconstructing AES Key Schedules from Decayed Memory with FPGAs,”10.1109/FCCM.2014.67__in Proceedings of Field-Programmable Custom Computing Machines (FCCM), 2014, pp. 222–229, doi:10.1109/FCCM.2014.67 .

G. C. Durelli et al., “Runtime Resource Management in Heterogeneous System Architectures: The SAVE Approach,”10.1109/ISPA.2014.27__in Proc. Int. Symp. on Parallel and Distributed Processing with Applications (ISPA), 2014, pp. 142–149, doi:10.1109/ISPA.2014.27 .

G. F. Vaz, H. Riebler, T. Kenter, and C. Plessl, “Deferring Accelerator Offloading Decisions to Application Runtime,”10.1109/ReConFig.2014.7032509__in Proceedings of the International Conference on ReConFigurable Computing and FPGAs (ReConFig), 2014, pp. 1–8, doi:10.1109/ReConFig.2014.7032509 .

T. Kenter, H. Schmitz, and C. Plessl, “Kernel-Centric Acceleration of High Accuracy Stereo-Matching,”10.1109/ReConFig.2014.7032535__in Proceedings of the International Conference on ReConFigurable Computing and FPGAs (ReConFig), 2014, pp. 1–8, doi:10.1109/ReConFig.2014.7032535 .

G. C. Durelli et al., “SAVE: Towards efficient resource management in heterogeneous system architectures,”10.1007/978-3-319-05960-0_38__2014, doi:10.1007/978-3-319-05960-0_38 .

J. Kaiser, D. Meister, V. Gottfried, and A. Brinkmann, “MCD: Overcoming the Data Download Bottleneck in Data Centers,” in Proc. IEEE Int. Conf. on Networking, Architecture and Storage (NAS), 2013, pp. 88–97.

S. Kasap and S. Redif, “FPGA Implementation of a Second-Order Convolutive Blind Signal Separation Algorithm,” in Proc. IEEE Signal Processing and Communications Conf. (SUI), 2013.

P. Berenbrink, A. Brinkmann, T. Friedetzky, D. Meister, and L. Nagel, “Distributing Storage in Cloud Environments,” in Proc. Int. Symp. on Parallel and Distributed Processing Workshops (IPDPSW), 2013.

D. Meister, A. Brinkmann, and T. Süß, “File Recipe Compression in Data Deduplication Systems,” in Proc. USENIX Conference on File and Storage Technologies (FAST), 2013, pp. 175–182.

H. Riebler, T. Kenter, C. Sorge, and C. Plessl, “FPGA-accelerated Key Search for Cold-Boot Attacks against AES,”10.1109/FPT.2013.6718394__in Proceedings of the International Conference on Field-Programmable Technology (FPT), 2013, pp. 386–389, doi:10.1109/FPT.2013.6718394 .

M. Happe, P. Kling, C. Plessl, M. Platzner, and F. Meyer auf der Heide, “On-The-Fly Computing: A Novel Paradigm for Individualized IT Services,”10.1109/ISORC.2013.6913232__2013, doi:10.1109/ISORC.2013.6913232 .

T. Suess, A. Schoenrock, S. Meisner, and C. Plessl, “Parallel Macro Pipelining on the Intel SCC Many-Core Computer,”10.1109/IPDPSW.2013.136__in Proc. Int. Symp. on Parallel and Distributed Processing Workshops (IPDPSW), 2013, pp. 64–73, doi:10.1109/IPDPSW.2013.136 .

S. Kasap and S. Redif, “FPGA-based design and implementation of an approximate polynomial matrix EVD algorithm,” in Proc. Int. Conf. on Field Programmable Technology (ICFPT), 2012, pp. 135–140.

J. Kaiser, D. Meister, T. Hartung, and A. Brinkmann, “ESB: Ext2 Split Block Device,” in Proc. IEEE Int. Conf. on Parallel and Distributed Systems (ICPADS), 2012, pp. 181–188.

D. Meister, J. Kaiser, A. Brinkmann, M. Kuhn, J. Kunkel, and T. Cortes, “A Study on Data Deduplication in HPC Storage Systems,” in Proc. Int. Conf. on Supercomputing (SC), 2012, pp. 7:1-7:11.

S. Kasap and S. Redif, “FPGA implementation of a second-order convolutive blind signal separation algorithm,” in Int. Architecture and Engineering Symp. (ARCHENG), 2012.

M. Grawinkel, T. Süß, G. Best, I. Popov, and A. Brinkmann, “Towards Dynamic Scripted pNFS Layouts,” in Proc. Parallel Data Storage Workshop (PDSW), 2012, pp. 13–17.

M. Wistuba, L. Schaefers, and M. Platzner, “Comparison of Bayesian Move Prediction Systems for Computer Go,” in Proc. IEEE Conf. on Computational Intelligence and Games (CIG), 2012, pp. 91–99.

T. Schlemmer et al., “Generic User Management for Science Gateways via Virtual Organizations,” in Proc. EGI Technical Forum, 2012.

G. Congiu, M. Grawinkel, S. Narasimhamurthy, and A. Brinkmann, “One Phase Commit: A Low Overhead Atomic Commitment Protocol for Scalable Metadata Services,” in Proc. Workshop on Interfaces and Architectures for Scientific Data Storage (IASDS), 2012, pp. 16–24.

R. Grunzke et al., “A Data Driven Science Gateway for Computational Workflows,” in Proc. UNICORE Summit, 2012.

J. Kaiser, D. Meister, A. Brinkmann, and S. Effert, “Design of an exact data deduplication cluster,” in Proc. Symp. on Mass Storage Systems and Technologies (MSST), 2012, pp. 1–12.