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Churavy V, Godoy WF, Bauer C, et al. Bridging HPC Communities through the Julia Programming Language. Published online 2022.

Kühne T, Plessl C, Schade R, Schütt O. CK on the road to exascale. arXiv:220514741. Published online 2022.

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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Gavini V, Baroni S, Blum V, et al. Roadmap on Electronic Structure Codes in the Exascale Era. arXiv:220912747. Published online 2022.

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. ACM; 2021. doi:10.1145/3468267.3470617

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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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.

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.

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.

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

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

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

Bengs V, Hüllermeier E. Multi-Armed Bandits with Censored Consumption of Resources. arXiv:201100813. Published online 2020.

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

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

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

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

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

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

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

Kenter T, Plessl C. Microdisk Cavity FDTD Simulation on FPGA using OpenCL. In: Proc. Workshop on Heterogeneous High-Performance Reconfigurable Computing (RC). ; 2016.

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

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.

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.

Lass M, Kühne T, Plessl C. Using Approximate Computing in Scientific Codes. In: Workshop on Approximate Computing (AC). ; 2016.

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.

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

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.

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

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

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

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

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

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

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

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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Berenbrink P, Brinkmann A, Friedetzky T, Meister D, Nagel L. Distributing Storage in Cloud Environments. In: Proc. Int. Symp. on Parallel and Distributed Processing Workshops (IPDPSW). IEEE; 2013. doi:10.1109/IPDPSW.2013.148

Meister D, Brinkmann A, Süß T. File Recipe Compression in Data Deduplication Systems. In: Proc. USENIX Conference on File and Storage Technologies (FAST). USENIX Association; 2013:175-182.

Kasap S, Redif S. FPGA Implementation of a Second-Order Convolutive Blind Signal Separation Algorithm. In: Proc. IEEE Signal Processing and Communications Conf. (SUI). IEEE; 2013. doi:10.1109/SIU.2013.6531530

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

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

Happe M, Kling P, Plessl C, Platzner M, Meyer auf der Heide F. On-The-Fly Computing: A Novel Paradigm for Individualized IT Services. In: Proceedings of the 9th IEEE Workshop on Software Technology for Future Embedded and Ubiquitous Systems (SEUS). IEEE; 2013. doi:10.1109/ISORC.2013.6913232

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