Meyer, M., Kenter, T., Petrica, L., O’Brien, K., Blott, M., &; Plessl, C. (2024). Optimizing Communication for Latency Sensitive HPC Applications on up to 48 FPGAs Using ACCL. In arXiv:2403.18374.

Lass, M., Kenter, T., Plessl, C., &; Brehm, M. (2024). Characterizing Microheterogeneity in Liquid Mixtures via Local Density Fluctuations. Entropy, 26(4), Article 322.https://doi.org/10.3390/e26040322 

Olgu, K., Kenter, T., Nunez-Yanez, J., &; Mcintosh-Smith, S. (2024). Optimisation and Evaluation of Breadth First Search with oneAPI/SYCL on Intel FPGAs: from Describing Algorithms to Describing Architectures. Proceedings of the 12th International Workshop on OpenCL and SYCL.https://doi.org/10.1145/3648115.3648134 

Schapeler, T., Schade, R., Lass, M., Plessl, C., &; Bartley, T. (2024). Scalable quantum detector tomography by high-performance computing. In arXiv:2404.02844.

Mazur, L., Bollweg, D., Clarke, D. A., Altenkort, L., Kaczmarek, O., Larsen, R., Shu, H.-T., Goswami, J., Scior, P., Sandmeyer, H., Neumann, M., Dick, H., Ali, S., Kim, J., Schmidt, C., Petreczky, P., &; Mukherjee, S. (2023). SIMULATeQCD: A simple multi-GPU lattice code for QCD calculations. Computer Physics Communications.https://doi.org/10.48550/ARXIV.2306.01098 

Altenkort, L., Eller, A. M., Francis, A., Kaczmarek, O., Mazur, L., Moore, G. D., &; Shu, H.-T. (2023). Viscosity of pure-glue QCD from the lattice. Physical Review D, 108(1), Article 014503.https://doi.org/10.1103/physrevd.108.014503 

Meyer, M., Kenter, T., &; Plessl, C. (2023). Multi-FPGA Designs and Scaling of HPC Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks. ACM Transactions on Reconfigurable Technology and Systems.https://doi.org/10.1145/3576200 

Hansmeier, T., Kenter, T., Meyer, M., Riebler, H., Platzner, M., &; Plessl, C. (2023). Compute Centers I: Heterogeneous Execution Environments. In C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, &; H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-services in dynamic markets (Vol. 412, pp. 165–182). Heinz Nixdorf Institut, Universität Paderborn.https://doi.org/10.5281/zenodo.8068642 

Opdenhövel, J.-O., Plessl, C., &; Kenter, T. (2023). Mutation Tree Reconstruction of Tumor Cells on FPGAs Using a Bit-Level Matrix Representation. Proceedings of the 13th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies.https://doi.org/10.1145/3597031.3597050 

Wu, X., Kenter, T., Schade, R., Kühne, T., &; Plessl, C. (2023). Computing and Compressing Electron Repulsion Integrals on FPGAs. 2023 IEEE 31st Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 162–173.https://doi.org/10.1109/FCCM57271.2023.00026 

Schade, R., Kenter, T., Elgabarty, H., Lass, M., Kühne, T., &; Plessl, C. (2023). Breaking the exascale barrier for the electronic structure problem in ab-initio molecular dynamics. The International Journal of High Performance Computing Applications, Article 109434202311776.https://doi.org/10.1177/10943420231177631 

Ochsenfeld, S., &; Schlichting, S. (2023). Hydrodynamic and Non-hydrodynamic Excitations in Kinetic Theory -- A  Numerical Analysis in Scalar Field Theory. In arXiv:2308.04491.

Pleines, M., Pallasch, M., Zimmer, F., &; Preuss, M. (2023). Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of  Agents. In arXiv:2309.17207.

Alt, C., Kenter, T., Faghih-Naini, S., Faj, J., Opdenhövel, J.-O., Plessl, C., Aizinger, V., Hönig, J., &; Köstler, H. (2023). Shallow Water DG Simulations on FPGAs: Design and Comparison of a Novel Code Generation Pipeline. In Lecture Notes in Computer Science. Springer Nature Switzerland.https://doi.org/10.1007/978-3-031-32041-5_5 

Van Hirtum, L., De Causmaecker, P., Goemaere, J., Kenter, T., Riebler, H., Lass, M., &; Plessl, C. (2023). A computation of D(9) using FPGA Supercomputing. In arXiv:2304.03039.

Faj, J., Kenter, T., Faghih-Naini, S., Plessl, C., &; Aizinger, V. (2023). Scalable Multi-FPGA Design of a Discontinuous Galerkin Shallow-Water Model on Unstructured Meshes. Proceedings of the Platform for Advanced Scientific Computing Conference (PASC).https://doi.org/10.1145/3592979.3593407 

Prouveur, C., Haefele, M., Kenter, T., &; Voss, N. (2023). FPGA Acceleration for HPC Supercapacitor Simulations. Proceedings of the Platform for Advanced Scientific Computing Conference (PASC).https://doi.org/10.1145/3592979.3593419 

Borghini, N., Borrell, M., &; Roch, H. (2022). Early time behavior of spatial and momentum anisotropies in kinetic  theory across different Knudsen numbers. In arXiv:2201.13294.

Bachmann, B., Borghini, N., Feld, N., &; Roch, H. (2022). Even anisotropic-flow harmonics are from Venus, odd ones are from Mars. In arXiv:2203.13306.

Hou, W., Yao, Y., Li, Y., Peng, B., Shi, K., Zhou, Z., Pan, J., Liu, M., &; Hu, J. (2022). Linearly shifting ferromagnetic resonance response of L.7Sr0.3MnO3 thin film for body temperature sensors. Frontiers of Materials Science, 16(1).

Wojciechowski, M. (2022). Dataset for random uniform distributions of 2D circles and 3D spheres. Data Brief, 43, 108318.

Lass, M. (2022). Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations. Universität Paderborn.https://doi.org/10.17619/UNIPB/1-1281 

Churavy, V., Godoy, W. F., Bauer, C., Ranocha, H., Schlottke-Lakemper, M., Räss, L., Blaschke, J., Giordano, M., Schnetter, E., Omlin, S., Vetter, J. S., &; Edelman, A. (2022). Bridging HPC Communities through the Julia Programming Language.

Jonas, B., Heinze, D. F., Schöll, E., Kallert, P., Langer, T., Krehs, S., Widhalm, A., Jöns, K., Reuter, D., Schumacher, S., &; Zrenner, A. (2022). Nonlinear down-conversion in a single quantum dot. Nature Communications, 13(1), Article 1387.https://doi.org/10.1038/s41467-022-28993-3 

Altenkort, L., Eller, A. M., Kaczmarek, O., Mazur, L., Moore, G. D., &; Shu, H.-T. (2022). Lattice QCD noise reduction for bosonic correlators through blocking. Physical Review D, 105(9), Article 094505.https://doi.org/10.1103/physrevd.105.094505 

Gavini, V., Baroni, S., Blum, V., Bowler, D. R., Buccheri, A., Chelikowsky, J. R., Das, S., Dawson, W., Delugas, P., Dogan, M., Draxl, C., Galli, G., Genovese, L., Giannozzi, P., Giantomassi, M., Gonze, X., Govoni, M., Gulans, A., Gygi, F.,  Perez, D. (2022). Roadmap on Electronic Structure Codes in the Exascale Era. In arXiv:2209.12747.

Karp, M., Podobas, A., Kenter, T., Jansson, N., Plessl, C., Schlatter, P., &; Markidis, S. (2022). A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays: Design, Evaluation, and Future Challenges. International Conference on High Performance Computing in Asia-Pacific Region.https://doi.org/10.1145/3492805.3492808 

Kühne, T., Plessl, C., Schade, R., &; Schütt, O. (2022). CK on the road to exascale. In arXiv:2205.14741.

Schade, R., Bauer, C., Tamoev, K., Mazur, L., Plessl, C., &; Kühne, T. (2022). Parallel quantum chemistry on noisy intermediate-scale quantum computers. Phys. Rev. Research, 4, 033160.https://doi.org/10.1103/PhysRevResearch.4.033160 

Gavini, V., Baroni, S., Blum, V., Bowler, D. R., Buccheri, A., Chelikowsky, J. R., Das, S., Dawson, W., Delugas, P., Dogan, M., Draxl, C., Galli, G., Genovese, L., Giannozzi, P., Giantomassi, M., Gonze, X., Govoni, M., Gulans, A., Gygi, F.,  Perez, D. (2022). Roadmap on Electronic Structure Codes in the Exascale Era. In arXiv:2209.12747.

Schade, R., Kenter, T., Elgabarty, H., Lass, M., Schütt, O., Lazzaro, A., Pabst, H., Mohr, S., Hutter, J., Kühne, T., &; Plessl, C. (2022). Towards electronic structure-based ab-initio molecular dynamics simulations with hundreds of millions of atoms. Parallel Computing, 111, Article 102920.https://doi.org/10.1016/j.parco.2022.102920 

Meyer, M., Kenter, T., &; Plessl, C. (2022). 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.https://doi.org/10.1016/j.jpdc.2021.10.007 

Moroder, M., Grundner, M., Damanet, F., Schollwöck, U., Mardazad, S., Flannigan, S., Köhler, T., &; Paeckel, S. (2022). Stable bipolarons in open quantum systems. Physical Review B 107, 214310 (2023).https://doi.org/10.1103/PhysRevB.107.214310 

Borghini, N., Borrell, M., Feld, N., Roch, H., Schlichting, S., &; Werthmann, C. (2022). Statistical analysis of initial state and final state response in  heavy-ion collisions. Phys. Rev. C 107 (2023) 034905.https://doi.org/10.1103/PhysRevC.107.034905 

Lesch, E., Schilling, M. T., Brenner, S., Yang, Y., Gruss, O. J., Knoop, V., &; Schallenberg-Rüdinger, M. (2022). Plant mitochondrial RNA editing factors can perform targeted C-to-U editing of nuclear transcripts in human cells. Nucleic Acids Research, 50(17), 9966–9983.https://doi.org/10.1093/nar/gkac752 

Menzel, J., Plessl, C., &; Kenter, T. (2021). The Strong Scaling Advantage of FPGAs in HPC for N-body Simulations. ACM Transactions on Reconfigurable Technology and Systems, 15(1), 1–30.https://doi.org/10.1145/3491235 

Meyer, M. (2021). Towards Performance Characterization of FPGAs in Context of HPC using OpenCL Benchmarks. Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies.https://doi.org/10.1145/3468044.3468058 

Nickchen, T., Heindorf, S., &; Engels, G. (2021). 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 (pp. 1994–2002). Hawaii.

Dabelow, L., Bo, S., &; Eichhorn, R. (2021). How irreversible are steady-state trajectories of a trapped active particle? Journal of Statistical Mechanics: Theory and Experiment, 2021(3), Article 033216.https://doi.org/10.1088/1742-5468/abe6fd 

Schade, R., Kenter, T., Elgabarty, H., Lass, M., Schütt, O., Lazzaro, A., Pabst, H., Mohr, S., Hutter, J., Kühne, T. D., &; Plessl, C. (2021). Towards Electronic Structure-Based Ab-Initio Molecular Dynamics  Simulations with Hundreds of Millions of Atoms. In arXiv:2104.08245.

Farheen, H., Leuteritz, T., Linden, S., Myroshnychenko, V., &; Förstner, J. (2021). Optimization of optical waveguide antennas for directive emission of  light. In arXiv:2106.02468.

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

Kaczmarek, O., Mazur, L., &; Sharma, S. (2021). Eigenvalue spectra of QCD and the fate of &;mml:math xmlns:mml="http://www..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, 104(9), Article 094518.https://doi.org/10.1103/physrevd.104.094518 

Altenkort, L., Eller, A. M., Kaczmarek, O., Mazur, L., Moore, G. D., &; Shu, H.-T. (2021). Heavy quark momentum diffusion from the lattice using gradient flow. Physical Review D, 103(1), Article 014511.https://doi.org/10.1103/physrevd.103.014511 

Altenkort, L., Eller, A. M., Kaczmarek, O., Mazur, L., Moore, G. D., &; Shu, H.-T. (2021). Sphaleron rate from Euclidean lattice correlators: An exploration. Physical Review D, 103(11), Article 114513.https://doi.org/10.1103/physrevd.103.114513 

Karp, M., Podobas, A., Jansson, N., Kenter, T., Plessl, C., Schlatter, P., &; Markidis, S. (2021). High-Performance Spectral Element Methods on Field-Programmable Gate Arraysf: Implementation, Evaluation, and Future Projection. 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS).https://doi.org/10.1109/ipdps49936.2021.00116 

Alhaddad, S., Förstner, J., Groth, S., Grünewald, D., Grynko, Y., Hannig, F., Kenter, T., Pfreundt, F.-J., Plessl, C., Schotte, M., Steinke, T., Teich, J., Weiser, M., &; Wende, F. (2021). HighPerMeshes – A Domain-Specific Language for Numerical Algorithms on Unstructured Grids. In Euro-Par 2020: Parallel Processing Workshops.https://doi.org/10.1007/978-3-030-71593-9_15 

Ramaswami, A., Kenter, T., Kühne, T., &; Plessl, C. (2021). Evaluating the Design Space for Offloading 3D FFT Calculations to an FPGA for High-Performance Computing. In Applied Reconfigurable Computing. Architectures, Tools, and Applications. Int. Conf. on Applied Reconfigurable Computing. Architectures, Tools, and Applications. Springer International Publishing.https://doi.org/10.1007/978-3-030-79025-7_21 

Alhaddad, S., Förstner, J., Groth, S., Grünewald, D., Grynko, Y., Hannig, F., Kenter, T., Pfreundt, F., Plessl, C., Schotte, M., Steinke, T., Teich, J., Weiser, M., &; Wende, F. (2021). The HighPerMeshes framework for numerical algorithms on unstructured grids. Concurrency and Computation: Practice and Experience, e6616.https://doi.org/10.1002/cpe.6616 

Chatwell, R. S., Guevara-Carrion, G., Gaponenko, Y., Shevtsova, V., &; Vrabec, J. (2021). Diffusion of the carbon dioxide–ethanol mixture in the extended critical region. Physical Chemistry Chemical Physics, 23(4), 3106–3115.https://doi.org/10.1039/d0cp04985a 

Karp, M., Podobas, A., Jansson, N., Kenter, T., Plessl, C., Schlatter, P., &; Markidis, S. (2021). High-Performance Spectral Element Methods on Field-Programmable Gate Arraysf: Implementation, Evaluation, and Future Projection. 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS).https://doi.org/10.1109/ipdps49936.2021.00116 

Kenter, T., Shambhu, A., Faghih-Naini, S., &; Aizinger, V. (2021). Algorithm-hardware co-design of a discontinuous Galerkin shallow-water model for a dataflow architecture on FPGA. Proceedings of the Platform for Advanced Scientific Computing Conference (PASC).https://doi.org/10.1145/3468267.3470617 

Nickchen, T., Engels, G., &; Lohn, J. (2020). Opportunities of 3D Machine Learning for Manufacturability Analysis and Component Recognition in the Additive Manufacturing Process Chain. In Industrializing Additive Manufacturing. Cham.https://doi.org/10.1007/978-3-030-54334-1_4 

Mirhosseini, H., Kormath Madam Raghupathy, R., Sahoo, S. K., Wiebeler, H., Chugh, M., &; Kühne, T. D. (2020). In silico investigation of Cu(In,Ga)Se<sub>2</sub>-based solar cells. Physical Chemistry Chemical Physics, 22(46), 26682–26701.https://doi.org/10.1039/d0cp04712k 

Bengs, V., &; Hüllermeier, E. (2020). Multi-Armed Bandits with Censored Consumption of Resources. In arXiv:2011.00813.

Kühne, T., Iannuzzi, M., Ben, M. D., Rybkin, V. V., Seewald, P., Stein, F., Laino, T., Khaliullin, R. Z., Schütt, O., Schiffmann, F., Golze, D., Wilhelm, J., Chulkov, S., Mohammad Hossein Bani-Hashemian, M. H. B.-H., Weber, V., Borstnik, U., Taillefumier, M., Jakobovits, A. S., Lazzaro, A.,https://doi.org/10.1063/5.0007045__Hutter, J. (2020). CK: An electronic structure and molecular dynamics software package - Quickstep: Efficient and accurate electronic structure calculations. The Journal of Chemical Physics, 152(19), Article 194103.https://doi.org/10.1063/5.0007045 

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

Meyer, M., Kenter, T., &; Plessl, C. (2020). Evaluating FPGA Accelerator Performance with a Parameterized OpenCL Adaptation of Selected Benchmarks of the HPCChallenge Benchmark Suite. 2020 IEEE/ACM International Workshop on Heterogeneous High-Performance Reconfigurable Computing (RC).https://doi.org/10.1109/h2rc51942.2020.00007 

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 

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 

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 

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 

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 

Platzner, M., &; Plessl, C. (2019). FPGAs im Rechenzentrum. Informatik Spektrum.https://doi.org/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 

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 

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 

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 

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 

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 

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 

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 

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 

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 

Steinle, T. (2016). Modeling and simulation of metallic, particle-damped spheres for lightweight materials.

Dellnitz, M., Eckstein, J., Flaßkamp, K., Friedel, P., Horenkamp, C., Köhler, U.,https://doi.org/10.1007/978-3-319-23413-7_87__Tiemeyer, S. (2016). Multiobjective Optimal Control Methods for the Development of an Intelligent Cruise Control. In Progress in Industrial Mathematics at ECMI (Vol. 22, pp. 633–641). Cham: Springer International Publishing.https://doi.org/10.1007/978-3-319-23413-7_87 

Lass, M., Leibenger, D., &; Sorge, C. (2016). Confidentiality and Authenticity for Distributed Version Control Systems - A Mercurial Extension. In Proc. 41st Conference on Local Computer Networks (LCN). IEEE.https://doi.org/10.1109/lcn.2016.11 

Kenter, T. (2016). Reconfigurable Accelerators in the World of General-Purpose Computing. Universität Paderborn.

Agne, A., Platzner, M., Plessl, C., Happe, M., &; Lübbers, E. (2016). ReconOS. In D. Koch, F. Hannig, &; D. Ziener (Eds.), FPGAs for Software Programmers (pp. 227–244). Springer International Publishing.https://doi.org/10.1007/978-3-319-26408-0_13 

Riebler, H., Vaz, G. F., Plessl, C., Trainiti, E. M. G., Durelli, G. C., &; Bolchini, C. (2016). Using Just-in-Time Code Generation for Transparent Resource Management in Heterogeneous Systems. Proc. HiPEAC Workshop on Reonfigurable Computing (WRC).

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

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

Riebler, H., Vaz, G. F., Plessl, C., Trainiti, E. M. G., Durelli, G. C., Del Sozzo, E., Santambrogio, M. D., &; Bolchini, C. (2016). Using Just-in-Time Code Generation for Transparent Resource Management in Heterogeneous Systems. Proceedings of International Forum on Research and Technologies for Society and Industry (RTSI), 1–5.https://doi.org/10.1109/RTSI.2016.7740545 

Agne, A., Happe, M., Lösch, A., Plessl, C., &; Platzner, M. (2016). Self-aware Compute Nodes. In Self-aware Computing Systems (pp. 145–165). Springer International Publishing.https://doi.org/10.1007/978-3-319-39675-0_8 

Vaz, G. F., Riebler, H., Kenter, T., &; Plessl, C. (2016). Potential and Methods for Embedding Dynamic Offloading Decisions into Application Code. Computers and Electrical Engineering, 55, 91–111.https://doi.org/10.1016/j.compeleceng.2016.04.021 

Lösch, A., Beisel, T., Kenter, T., Plessl, C., &; Platzner, M. (2016). Performance-centric scheduling with task migration for a heterogeneous compute node in the data center. Proceedings of the 2016 Design, Automation &; Test in Europe Conference &; Exhibition (DATE), 912–917.

Kenter, T., Vaz, G. F., Riebler, H., &; Plessl, C. (2016). Opportunities for deferring application partitioning and accelerator synthesis to runtime (extended abstract). Workshop on Reconfigurable Computing (WRC).

Hegler, S., Statz, C., Mütze, M., Mooshofer, H., Goldammer, M., Fendt, K.,https://doi.org/doi:10.1515/teme-2015-0031__Plettemeier, D. (2015). Simulative Ultraschall-Untersuchung von Pitch-Catch-Messanordnungen für große zylindrische Stahl-Prüflinge und gradientenbasierte Bildgebung. Tm - Technisches Messen, 82(9), 440–450.https://doi.org/doi:10.1515/teme-2015-0031 

Torresen, J., Plessl, C., &; Yao, X. (2015). Self-Aware and Self-Expressive Systems – Guest Editor’s Introduction. IEEE Computer, 48(7), 18–20.https://doi.org/10.1109/MC.2015.205 

Peitz, S., &; Dellnitz, M. (2015). Multiobjective Optimization of the Flow Around a Cylinder Using Model Order Reduction. PAMM, 15(1), 613–614.https://doi.org/10.1002/pamm.201510296 

Beisel, T. (2015). Management and Scheduling of Accelerators for Heterogeneous High-Performance Computing. Berlin: Logos Verlag Berlin GmbH.

Kenter, T., Schmitz, H., &; Plessl, C. (2015). Exploring Tradeoffs between Specialized Kernels and a Reusable Overlay in a Stereo-Matching Case Study. International Journal of Reconfigurable Computing (IJRC), 2015, Article 859425.https://doi.org/10.1155/2015/859425 

Damschen, M., &; Plessl, C. (2015). Easy-to-Use On-The-Fly Binary Program Acceleration on Many-Cores. Proceedings of the 5th International Workshop on Adaptive Self-Tuning Computing Systems (ADAPT).

Schumacher, J., T. Anderson, J., Borga, A., Boterenbrood, H., Chen, H., Chen, K., Drake, G., Francis, D., Gorini, B., Lanni, F., Lehmann-Miotto, G., Levinson, L., Narevicius, J., Plessl, C., Roich, A., Ryu, S., P. Schreuder, F., Vandelli, W., Vermeulen, J., &; Zhang, J. (2015). Improving Packet Processing Performance in the ATLAS FELIX Project – Analysis and Optimization of a Memory-Bounded Algorithm. Proc. Int. Conf. on Distributed Event-Based Systems (DEBS).https://doi.org/10.1145/2675743.2771824 

Plessl, C., Platzner, M., &; Schreier, P. J. (2015). Aktuelles Schlagwort: Approximate Computing. Informatik Spektrum, 5, 396–399.https://doi.org/10.1007/s00287-015-0911-z 

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

Anderson, J., Borga, A., Boterenbrood, H., Chen, H., Chen, K., Drake, G., Francis, D., Gorini, B., Lanni, F., Lehmann Miotto, G., Levinson, L., Narevicius, J., Plessl, C., Roich, A., Ryu, S., Schreuder, F., Schumacher, J., Vandelli, W., Vermeulen, J., &; Zhang, J. (2015). FELIX: a High-Throughput Network Approach for Interfacing to Front End Electronics for ATLAS Upgrades. Journal of Physics: Conference Series, 664, Article 082050.https://doi.org/10.1088/1742-6596/664/8/082050 

Steinle, T., Vrabec, J., &; Walther, A. (2014). Numerical Simulation of the Damping Behavior of Particle-Filled Hollow Spheres. In H. G. Bock, X. P. Hoang, R. Rannacher, &; J. P. Schlöder (Eds.), Proc. Modeling, Simulation and Optimization of Complex Processes (HPSC) (pp. 233–243). Springer International Publishing.https://doi.org/10.1007/978-3-319-09063-4_19 

Graf, T., Schaefers, L., &; Platzner, M. (2014). On Semeai Detection in Monte-Carlo Go. In Proc. Conf. on Computers and Games (CG) (pp. 14–25). Switzerland: Springer.https://doi.org/10.1007/978-3-319-09165-5_2 

Platzner, M., &; Plessl, C. (2014). Verschiebungen an der Grenze zwischen Hardware und Software. In J. Künsemöller, N. O. Eke, L. Foit, &; T. Kaerlein (Eds.), Logiken strukturbildender Prozesse: Automatismen (pp. 123–144). Wilhelm Fink.

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

Agne, A., Hangmann, H., Happe, M., Platzner, M., &; Plessl, C. (2014). Seven Recipes for Setting Your FPGA on Fire – A Cookbook on Heat Generators. Microprocessors and Microsystems, 38(8, Part B), 911–919.https://doi.org/10.1016/j.micpro.2013.12.001 

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

Agne, A., Happe, M., Lösch, A., Plessl, C., &; Platzner, M. (2014). Self-awareness as a Model for Designing and Operating Heterogeneous Multicores. ACM Transactions on Reconfigurable Technology and Systems (TRETS), 7(2), Article 13.https://doi.org/10.1145/2617596 

Agne, A., Happe, M., Keller, A., Lübbers, E., Plattner, B., Platzner, M., &; Plessl, C. (2014). ReconOS - An Operating System Approach for Reconfigurable Computing. IEEE Micro, 34(1), 60–71.https://doi.org/10.1109/MM.2013.110 

C. Durelli, G., Pogliani, M., Miele, A., Plessl, C., Riebler, H., Vaz, G. F., D. Santambrogio, M., &; Bolchini, C. (2014). Runtime Resource Management in Heterogeneous System Architectures: The SAVE Approach. Proc. Int. Symp. on Parallel and Distributed Processing with Applications (ISPA), 142–149.https://doi.org/10.1109/ISPA.2014.27 

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

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

C. Durelli, G., Copolla, M., Djafarian, K., Koranaros, G., Miele, A., Paolino, M., Pell, O., Plessl, C., D. Santambrogio, M., &; Bolchini, C. (2014). SAVE: Towards efficient resource management in heterogeneous system architectures. Proc. Int. Conf. on Reconfigurable Computing: Architectures, Tools and Applications (ARC).https://doi.org/10.1007/978-3-319-05960-0_38 

Giefers, H., Plessl, C., &; Förstner, J. (2014). Accelerating Finite Difference Time Domain Simulations with Reconfigurable Dataflow Computers. ACM SIGARCH Computer Architecture News, 41(5), 65–70.https://doi.org/10.1145/2641361.2641372 

Kaiser, J., Meister, D., Gottfried, V., &; Brinkmann, A. (2013). MCD: Overcoming the Data Download Bottleneck in Data Centers. In Proc. IEEE Int. Conf. on Networking, Architecture and Storage (NAS) (pp. 88–97). Washington DC, USA: IEEE Computer Society.https://doi.org/10.1109/NAS.2013.18 

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

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

Niehörster, O. (2013). Autonomous Resource Management in Dynamic Data Centers. Aachen, Germany: Shaker.

Meister, D. (2013). Advanced Data Deduplication Techniques and Their Application. Johannes Gutenberg-Universität Mainz.

Kasap, S., &; Redif, S. (2013). Novel Field-Programmable Gate Array Architecture for Computing the Eigenvalue Decomposition of Para-Hermitian Polynomial Matrices. IEEE Trans. on Very Large Scale Integration (VLSI) Systems, 22(3), 522–536.https://doi.org/10.1109/TVLSI.2013.2248069 

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

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

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

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

Niehörster, O., Simon, J., Brinkmann, A., Keller, A., &; Krüger, J. (2012). Cost-aware and SLO Fulfilling Software as a Service. Journal of Grid Computing, 10(3), 553–577.https://doi.org/10.1007/s10723-012-9230-7 

Kasap, S., &; Redif, S. (2012). FPGA-based design and implementation of an approximate polynomial matrix EVD algorithm. In Proc. Int. Conf. on Field Programmable Technology (ICFPT) (pp. 135–140). IEEE Computer Society.https://doi.org/10.1109/FPT.2012.6412125 

Kaiser, J., Meister, D., Hartung, T., &; Brinkmann, A. (2012). ESB: Ext2 Split Block Device. In Proc. IEEE Int. Conf. on Parallel and Distributed Systems (ICPADS) (pp. 181–188). IEEE.https://doi.org/10.1109/ICPADS.2012.34 

Meister, D., Kaiser, J., Brinkmann, A., Kuhn, M., Kunkel, J., &; Cortes, T. (2012). A Study on Data Deduplication in HPC Storage Systems. In Proc. Int. Conf. on Supercomputing (SC) (pp. 7:1-7:11). Los Alamitos, CA, USA: IEEE Computer Society.https://doi.org/10.1109/SC.2012.14 

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

Grawinkel, M., Süß, T., Best, G., Popov, I., &; Brinkmann, A. (2012). Towards Dynamic Scripted pNFS Layouts. In Proc. Parallel Data Storage Workshop (PDSW) (pp. 13–17). IEEE.https://doi.org/10.1109/SC.Companion.2012.13 

Gesing, S., Grunzke, R., Krüger, J., Birkenheuer, G., Wewior, M., Schäfer, P.,https://doi.org/10.1007/s10723-012-9247-y__Kohlbacher, O. (2012). A Single Sign-On Infrastructure for Science Gateways on a Use Case for Structural Bioinformatics. Journal of Grid Computing, 10(4), 769–790.https://doi.org/10.1007/s10723-012-9247-y 

Wistuba, M., Schaefers, L., &; Platzner, M. (2012). Comparison of Bayesian Move Prediction Systems for Computer Go. In Proc. IEEE Conf. on Computational Intelligence and Games (CIG) (pp. 91–99). IEEE.https://doi.org/10.1109/CIG.2012.6374143 

Schlemmer, T., Grunzke, R., Gesing, S., Krüger, J., Birkenheuer, G., Müller-Pfefferkorn, R., &; Kohlbacher, O. (2012). Generic User Management for Science Gateways via Virtual Organizations. In Proc. EGI Technical Forum.

Congiu, G., Grawinkel, M., Narasimhamurthy, S., &; Brinkmann, A. (2012). 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) (pp. 16–24). IEEE.https://doi.org/10.1109/ClusterW.2012.16 

Grunzke, R., Birkenheuer, G., Blunk, D., Breuers, S., Brinkmann, A., Gesing, S.,  Zink, A. (2012). A Data Driven Science Gateway for Computational Workflows. In Proc. UNICORE Summit.

Kaiser, J., Meister, D., Brinkmann, A., &; Effert, S. (2012). Design of an exact data deduplication cluster. In Proc. Symp. on Mass Storage Systems and Technologies (MSST) (pp. 1–12). IEEE.https://doi.org/10.1109/MSST.2012.6232380 

Gesing, S., Herres-Pawlis, S., Birkenheuer, G., Brinkmann, A., Grunzke, R., Kacsuk, P.,  Steinke, T. (2012). The MoSGrid Community From National to International Scale. In Proc. EGI Community Forum.

Thielemans, K., Tsoumpas, C., Mustafovic, S., Beisel, T., Aguiar, P., Dikaios, N., &; W Jacobson, M. (2012). STIR: Software for Tomographic Image Reconstruction Release 2. Physics in Medicine and Biology, 57(4), 867–883.https://doi.org/10.1088/0031-9155/57/4/867 

Redif, S., &; Kasap, S. (2012). Parallel algorithm for computation of second-order sequential best rotations. Int. Journal of Electronics, 100(12), 1646–1651.https://doi.org/10.1080/00207217.2012.751343 

Kasap, S., &; Benkrid, K. (2012). Parallel Processor Design and Implementation for Molecular Dynamics Simulations on a FPGA Parallel Computer. Journal of Computers, 7(6), 1312–1328.

Herres-Pawlis, S., Birkenheuer, G., Brinkmann, A., Gesing, S., Grunzke, R., Jäkel, R.,https://doi.org/10.3233/978-1-61499-054-3-142__Dos Santos Vieira, I. (2012). Workflow-enhanced conformational analysis of guanidine zinc complexes via a science gateway. Studies in Health Technology and Informatics, 175, 142–151.https://doi.org/10.3233/978-1-61499-054-3-142 

Gesing, S., Herres-Pawlis, S., Birkenheuer, G., Brinkmann, A., Grunzke, R., Kacsuk, P.,  Steinke, T. (2012). A Science Gateway Getting Ready for Serving the International Molecular Simulation Community. In Proceedings of Science (Vol. PoS(EGIC-EMIT)050).

Meyer, B., Schumacher, J., Plessl, C., &; Förstner, J. (2012). Convey Vector Personalities – FPGA Acceleration with an OpenMP-like Effort? Proc. Int. Conf. on Field Programmable Logic and Applications (FPL), 189–196.https://doi.org/10.1109/FPL.2012.6339370 

Schumacher, T., Plessl, C., &; Platzner, M. (2012). IMORC: An Infrastructure and Architecture Template for Implementing High-Performance Reconfigurable FPGA Accelerators. Microprocessors and Microsystems, 36(2), 110–126.https://doi.org/10.1016/j.micpro.2011.04.002 

Happe, M., Hangmann, H., Agne, A., &; Plessl, C. (2012). Eight Ways to put your FPGA on Fire – A Systematic Study of Heat Generators. Proceedings of the International Conference on Reconfigurable Computing and FPGAs (ReConFig), 1–8.https://doi.org/10.1109/ReConFig.2012.6416745 

Kenter, T., Plessl, C., &; Schmitz, H. (2012). Pragma based parallelization - Trading hardware efficiency for ease of use? Proceedings of the International Conference on ReConFigurable Computing and FPGAs (ReConFig), 1–8.https://doi.org/10.1109/ReConFig.2012.6416773 

Happe, M., Agne, A., Plessl, C., &; Platzner, M. (2012). Hardware/Software Platform for Self-aware Compute Nodes. Proceedings of the Workshop on Self-Awareness in Reconfigurable Computing Systems (SRCS), 8–9.

Barrio, P., Carreras, C., Sierra, R., Kenter, T., &; Plessl, C. (2012). Turning control flow graphs into function calls: Code generation for heterogeneous architectures. Proceedings of the International Conference on High Performance Computing and Simulation (HPCS), 559–565.https://doi.org/10.1109/HPCSim.2012.6266973 

Rüthing, C., Happe, M., Agne, A., &; Plessl, C. (2012). Exploration of Ring Oscillator Design Space for Temperature Measurements on FPGAs. Proceedings of the International Conference on Field Programmable Logic and Applications (FPL), 559–562.https://doi.org/10.1109/FPL.2012.6339370 

Beisel, T., Wiersema, T., Plessl, C., &; Brinkmann, A. (2012). Programming and Scheduling Model for Supporting Heterogeneous Accelerators in Linux. Proc. Workshop on Computer Architecture and Operating System Co-Design (CAOS).

Grad, M., &; Plessl, C. (2012). On the Feasibility and Limitations of Just-In-Time Instruction Set Extension for FPGA-based Reconfigurable Processors. Int. Journal of Reconfigurable Computing (IJRC).https://doi.org/10.1155/2012/418315 

Kleineweber, C., Keller, A., Niehörster, O., &; Brinkmann, A. (2011). Rule Based Mapping of Virtual Machines in Clouds. In Proc. Int. Conf. on Parallel, Distributed and Network-Based Computing (PDP).https://doi.org/10.1109/PDP.2011.69 

Birkenheuer, G., Brinkmann, A., Kaiser, J., Keller, A., Keller, M., Kleineweber, C.,https://doi.org/10.1002/spe.1055__Wilhelm, M. (2011). Virtualized HPC: a contradiction in terms? Software: Practice and Experience.https://doi.org/10.1002/spe.1055 

Niehörster, O., Keller, A., &; Brinkmann, A. (2011). An Energy-Aware SaaS Stack. In Proc. Int. Meeting of the IEEE Int. Symp. on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS).https://doi.org/10.1109/MASCOTS.2011.52 

Miranda, A., Effert, S., Kang, Y., Miller, E., Brinkmann, A., &; Cortes, T. (2011). Reliable and Randomized Data Distribution Strategies for Large Scale Storage Systems. In Proc. Int. Conf. on High Performance Computing (HIPC) (pp. 1–10). Washington, DC: IEEE Computer Society.https://doi.org/10.1109/HiPC.2011.6152745 

Grawinkel, M., Pargmann, M., Dömer, H., &; Brinkmann, A. (2011). Lonestar: An Energy-Aware Disk Based Long-Term Archival Storage System. In Proc. IEEE Int. Conf. on Parallel and Distributed Systems (ICPADS) (pp. 380–387). IEEE.https://doi.org/10.1109/ICPADS.2011.77 

Niehörster, O., &; Brinkmann, A. (2011). Autonomic Resource Management Handling Delayed Configuration Effects. In Proc. IEEE Int. Conf. on Cloud Computing Technology and Science (CloudCom) (pp. 138–145). Washington DC, USA: IEEE Computer Society.https://doi.org/10.1109/CloudCom.2011.28 

Kenter, T., Plessl, C., Platzner, M., &; Kauschke, M. (2011). Estimation and Partitioning for CPU-Accelerator Architectures. In Intel European Research and Innovation Conference.

Birkenheuer, G., Brinkmann, A., Högqvist, M., Papaspyrou, A., Schott, B., Sommerfeld, D., &; Ziegler, W. (2011). Infrastructure Federation Through Virtualized Delegation of Resources and Services. Journal of Grid Computing, 9(3), 355–377.https://doi.org/10.1007/s10723-011-9192-1 

Grawinkel, M., Schäfer, T., Brinkmann, A., Hagemeyer, J., &; Porrmann, M. (2011). Evaluation of Applied Intra-Disk Redundancy Schemes to Improve Single Disk Reliability. In Proc. Int. Symp. on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS) (pp. 297–306). IEEE Computer Society.https://doi.org/10.1109/mascots.2011.13 

Brinkmann, A., Gao, Y., Korzeniowski, M., &; Meister, D. (2011). Request Load Balancing for Highly Skewed Traffic in P Networks. In Proc. IEEE Int. Conf. on Networking, Architecture and Storage (NAS) (pp. 53–62). IEEE.https://doi.org/10.1109/NAS.2011.25 

Gesing, S., Grunzke, R., Balaskó, Á., Birkenheuer, G., Blunk, D., Breuers, S.,  Kohlbacher, O. (2011). Granular Security for a Science Gateway in Structural Bioinformatics. In Proc. Int. Workshop on Scientific Gateways (IWSG). Consorzio COMETA.

Gesing, S., Kacsuk, P., Kozlovszky, M., Birkenheuer, G., Blunk, D., Breuers, S.,  Kohlbacher, O. (2011). A Science Gateway for Molecular Simulations. In Proc. EGI User Forum (pp. 94–95).

Plessl, C., &; Platzner, M. (2011). Hardware Virtualization on Dynamically Reconfigurable Embedded Processors. In M. Khalgui &; H.-M. Hanisch (Eds.), Reconfigurable Embedded Control Systems: Applications for Flexibility and Agility. Hershey, PA, USA: IGI Global.https://doi.org/10.4018/978-1-60960-086-0 

Niehörster, O., Simon, J., Brinkmann, A., &; Krieger, A. (2011). Autonomic Resource Management with Support Vector Machines. In Proc. IEEE/ACM Int. Conf. on Grid Computing (GRID) (pp. 157–164). Washington, DC, USA: IEEE Computer Society.https://doi.org/10.1109/Grid.2011.28 

Graf, T., Lorenz, U., Platzner, M., &; Schaefers, L. (2011). Parallel Monte-Carlo Tree Search for HPC Systems. In Proc. European Conf. on Parallel Processing (Euro-Par) (Vol. 6853). Berlin / Heidelberg: Springer.https://doi.org/10.1007/978-3-642-23397-5_36 

Birkenheuer, G., Blunk, D., Breuers, S., Brinkmann, A., Fels, G., Gesing, S.,  Wewior, M. (2011). MoSGrid: Progress of Workflow driven Chemical Simulations. In Proc. of Grid Workflow Workshop (GWW) (Vol. 829).

Meyer, B., Plessl, C., &; Förstner, J. (2011). Transformation of scientific algorithms to parallel computing code: subdomain support in a MPI-multi-GPU backend. Symp. on Application Accelerators in High Performance Computing (SAAHPC), 60–63.https://doi.org/10.1109/SAAHPC.2011.12 

Beisel, T., Wiersema, T., Plessl, C., &; Brinkmann, A. (2011). Cooperative multitasking for heterogeneous accelerators in the Linux Completely Fair Scheduler. Proc. Int. Conf. on Application-Specific Systems, Architectures, and Processors (ASAP), 223–226.https://doi.org/10.1109/ASAP.2011.6043273 

Happe, M., Agne, A., &; Plessl, C. (2011). Measuring and Predicting Temperature Distributions on FPGAs at Run-Time. Proceedings of the 2011 International Conference on Reconfigurable Computing and FPGAs (ReConFig), 55–60.https://doi.org/10.1109/ReConFig.2011.59 

Kenter, T., Platzner, M., Plessl, C., &; Kauschke, M. (2011). Performance Estimation Framework for Automated Exploration of CPU-Accelerator Architectures. Proc. Int. Symp. on Field-Programmable Gate Arrays (FPGA), 177–180.https://doi.org/10.1145/1950413.1950448 

Schumacher, T., Süß, T., Plessl, C., &; Platzner, M. (2011). FPGA Acceleration of Communication-bound Streaming Applications: Architecture Modeling and a 3D Image Compositing Case Study. Int. Journal of Recon- Figurable Computing (IJRC).https://doi.org/10.1155/2011/760954 

Grad, M., &; Plessl, C. (2011). Just-in-time Instruction Set Extension – Feasibility and Limitations for an FPGA-based Reconfigurable ASIP Architecture. Proc. Reconfigurable Architectures Workshop (RAW), 278–285.https://doi.org/10.1109/IPDPS.2011.153 

Bienkowski, M., Brinkmann, A., Klonowski, M., &; Korzeniowski, M. (2010). SkewCCC+: A Heterogeneous Distributed Hash Table. In Proceedings of the 14th International Conference On Principles Of Distributed Systems (Opodis) (Vol. 6490). Berlin / Heidelberg: Springer.https://doi.org/10.1007/978-3-642-17653-1_18 

Wewior, M., Packschies, L., Blunk, D., Wickeroth, D., Warzecha, K.-D., Herres-Pawlis, S.,  Lang, U. (2010). The MoSGrid Gaussian Portlet - Technologies for the Implementation of Portlets for Molecular Simulations. In Proc. Int. Workshop on Scientific Gateways (IWSG) (pp. 39–43). Consorzio COMETA.

Gesing, S., Marton, I., Birkenheuer, G., Schuller, B., Grunzke, R., Krüger, J.,  Kozlovszky, M. (2010). Workflow Interoperability in a Grid Portal for Molecular Simulations. In Proc. Int. Workshop on Scientific Gateways (IWSG) (pp. 44–48). Consorzio COMETA.

Gao, Y., Meister, D., &; Brinkmann, A. (2010). Reliability Analysis of Declustered-Parity RAID 6 with Disk Scrubbing and Considering Irrecoverable Read Errors. In Proc. IEEE Int. Conf. on Networking, Architecture and Storage (NAS) (pp. 126–134). IEEE.https://doi.org/10.1109/NAS.2010.11 

Berenbrink, P., Brinkmann, A., Friedetzky, T., &; Nagel, L. (2010). Balls into Bins with Related Random Choices. In Proc. Int. Symp. on Parallelism in Algorithms and Architectures (SPAA) (pp. 100–105). New York: ACM.https://doi.org/10.1145/1810479.1810500 

Meister, D., &; Brinkmann, A. (2010). dedup: Improving Deduplication Throughput using Solid State Drives (SSD). In Proc. Symp. on Mass Storage Systems and Technologies (MSST) (pp. 1–6). Washington, DC: IEEE Computer Society.https://doi.org/10.1109/MSST.2010.5496992 

Lensing, P. H., Meister, D., &; Brinkmann, A. (2010). hashFS: Applying Hashing to Optimized File Systems for Small File Reads. In Proc. Int. Worksh. on Storage Network Architecture and Parallel I/Os (SNAPI) (pp. 33–42). IEEE.https://doi.org/10.1109/SNAPI.2010.12 

Berenbrink, P., Brinkmann, A., Friedetzky, T., &; Nagel, L. (2010). Balls into Non-uniform Bins. In Proc. Int. Symp. on Parallel and Distributed Processing (IPDPS) (pp. 1–10). IEEE.https://doi.org/10.1109/IPDPS.2010.5470355 

R. Prasad, N., Eisenhauer, M., Ahlsén, M., Badii, A., Brinkmann, A., Marius Hansen, K., &; Rosengren, P. (2010). Open Source Middleware for Networked Embedded Systems towards Future Internet of Things. In H. Sundmaeker, P. Guillemin, P. Friess, &; S. Woelfflé (Eds.), Vision and Challenges for Realising the Internet of Things (pp. 153–163). European Commission.

Bolte, M., Sievers, M., Birkenheuer, G., Niehörster, O., &; Brinkmann, A. (2010). Non-intrusive Virtualization Management Using libvirt. In Proc. Design, Automation and Test in Europe Conf. (DATE). EDA Consortium.

Brinkmann, A., Battré, D., Birkenheuer, G., Kao, O., &; Voß, K. (2010). Risikomanagement für verteilte Umgebungen. ForschungsForum Paderborn, 13(13).

Birkenheuer, G., Breuers, S., Brinkmann, A., Blunk, D., Fels, G., Gesing, S.,  Packschies, L. (2010). Grid-Workflows in Molecular Science. In Proc. of Grid Workflow Workshop (GWW) (pp. 177–184). Gesellschaft für Informatik (GI).

Niehörster, O., Brinkmann, A., Fels, G., Krüger, J., &; Simon, J. (2010). Enforcing SLAs in Scientific Clouds. In Proc. Int. Conf. on Cluster Computing (CLUSTER) (pp. 178–187). IEEE.https://doi.org/10.1109/CLUSTER.2010.42 

Birkenheuer, G., Brinkmann, A., &; Karl, H. (2010). Risk Aware Overbooking for Commercial Grids. In Job Scheduling Strategies for Parallel Processing - 15th International Workshop, JSSPP 2010, Atlanta, GA, USA, April 23, 2010, Revised Selected Papers (pp. 51–76).https://doi.org/10.1007/978-3-642-16505-4_4 

Lübbers, E., Platzner, M., Plessl, C., Keller, A., &; Plattner, B. (2010). Towards Adaptive Networking for Embedded Devices based on Reconfigurable Hardware. Proc. Int. Conf. on Engineering of Reconfigurable Systems and Algorithms (ERSA), 225–231.

Grad, M., &; Plessl, C. (2010). Pruning the Design Space for Just-In-Time Processor Customization. Proc. Int. Conf. on ReConFigurable Computing and FPGAs (ReConFig), 67–72.https://doi.org/10.1109/ReConFig.2010.19 

Grad, M., &; Plessl, C. (2010). An Open Source Circuit Library with Benchmarking Facilities. Proc. Int. Conf. on Engineering of Reconfigurable Systems and Algorithms (ERSA), 144–150.

Andrews, D., &; Plessl, C. (2010). Configurable Processor Architectures: History and Trends. Proc. Int. Conf. on Engineering of Reconfigurable Systems and Algorithms (ERSA), 165.

Plaks, T. P., Andrews, D., DeMara, R., Lam, H., Lee, J., Plessl, C., &; Stitt, G. (Eds.). (2010). Proc. Int. Conf. on Engineering of Reconfigurable Systems and Algorithms (ERSA). CSREA Press.

Beisel, T., Niekamp, M., &; Plessl, C. (2010). Using Shared Library Interposing for Transparent Acceleration in Systems with Heterogeneous Hardware Accelerators. Proc. Int. Conf. on Application-Specific Systems, Architectures, and Processors (ASAP), 65–72.https://doi.org/10.1109/ASAP.2010.5540798 

Keller, A., Plattner, B., Lübbers, E., Platzner, M., &; Plessl, C. (2010). Reconfigurable Nodes for Future Networks. Proc. IEEE Globecom Workshop on Network of the Future (FutureNet), 372–376.https://doi.org/10.1109/GLOCOMW.2010.5700341 

Woehrle, M., Plessl, C., &; Thiele, L. (2010). Rupeas: Ruby Powered Event Analysis DSL. Proc. Int. Conf. Networked Sensing Systems (INSS), 245–248.https://doi.org/10.1109/INSS.2010.5572211 

Kenter, T., Platzner, M., Plessl, C., &; Kauschke, M. (2010). Performance Estimation for the Exploration of CPU-Accelerator Architectures. In O. Hammami &; S. Larrabee (Eds.), Proc. Workshop on Architectural Research Prototyping (WARP), International Symposium on Computer Architecture (ISCA).

Woehrle, M., Plessl, C., &; Thiele, L. (2009). Rupeas: Ruby Powered Event Analysis DSL. Computer Engineering and Networks Lab, ETH Zurich.

Brinkmann, A., &; Eschweiler, D. (2009). A Microdriver Architecture for Error Correcting Codes inside the Linux Kernel. Journal of Supercomputing, 35:1-35:10.https://doi.org/10.1145/1654059.1654095 

Höing, A., Scherp, G., Gudenkauf, S., Meister, D., &; Brinkmann, A. (2009). An Orchestration as a Service Infrastructure using Grid Technologies and WS-BPEL. In Proc. Int. Conf. on Service Oriented Computing (ICSOC) (Vol. 5900, pp. 301–315). Berlin / Heidelberg: Springer.https://doi.org/0.1007/978-3-642-10383-4_20 

Niehörster, O., Birkenheuer, G., Brinkmann, A., Blunk, D., Elsässer, B., Herres-Pawlis, S.,  Fels, G. (2009). Providing Scientific Software as a Service in Consideration of Service Level Agreements. In Proc. Cracow Grid Workshop (CGW) (pp. 55–63).

Birkenheuer, G., Carlson, A., Fölling, A., Högqvist, M., Hoheisel, A., Papaspyrou, A.,  Ziegler, W. (2009). Connecting Communities on the Meta-Scheduling Level: The DGSI Approach! In Proc. Cracow Grid Workshop (CGW) (pp. 96–103).

Meister, D., &; Brinkmann, A. (2009). Multi-Level Comparison of Data Deduplication in a Backup Scenario. In Proc. of the Israeli Experimental Systems Conference (SYSTOR) (pp. 8:1-8:12). New York: ACM.https://doi.org/10.1145/1534530.1534541 

Birkenheuer, G., Brinkmann, A., &; Karl, H. (2009). The Gain of Overbooking. In Job Scheduling Strategies for Parallel Processing, 14th International Workshop, JSSPP 2009, Rome, Italy, May 29, 2009. Revised Papers (pp. 80–100).https://doi.org/10.1007/978-3-642-04633-9_5 

Schumacher, T., Plessl, C., &; Platzner, M. (2009). IMORC: Application Mapping, Monitoring and Optimization for High-Performance Reconfigurable Computing. Proc. Int. Symp. on Field-Programmable Custom Computing Machines (FCCM), 275–278.https://doi.org/10.1109/FCCM.2009.25