M. Lass, T. Kenter, C. Plessl, and M. Brehm, “Characterizing Microheterogeneity in Liquid Mixtures via Local Density Fluctuations,”10.3390/e26040322__Entropy, vol. 26, no. 4, Art. no. 322, 2024, doi:10.3390/e26040322 .

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K. Olgu, T. Kenter, J. Nunez-Yanez, and S. Mcintosh-Smith, “Optimisation and Evaluation of Breadth First Search with oneAPI/SYCL on Intel FPGAs: from Describing Algorithms to Describing Architectures,”10.1145/3648115.3648134__2024, doi:10.1145/3648115.3648134 .

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

T. Schapeler, R. Schade, M. Lass, C. Plessl, and T. Bartley, “Scalable quantum detector tomography by high-performance computing,” arXiv:2404.02844. 2024.

L. Van Hirtum et al., “A computation of D(9) using FPGA Supercomputing,” arXiv:2304.03039. 2023.

R. Schade, T. Kenter, H. Elgabarty, M. Lass, T. Kühne, and C. Plessl, “Breaking the exascale barrier for the electronic structure problem in ab-initio molecular dynamics,”10.1177/10943420231177631__The International Journal of High Performance Computing Applications, Art. no. 109434202311776, 2023, doi:10.1177/10943420231177631 .

T. Hansmeier, T. Kenter, M. Meyer, H. Riebler, M. Platzner, and C. Plessl, “Compute Centers I: Heterogeneous Execution Environments,” in On-The-Fly Computing -- Individualized IT-services in dynamic markets, vol. 412, C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, and H. Wehrheim, Eds. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 165–182.

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

C. Prouveur, M. Haefele, T. Kenter, and N. Voss, “FPGA Acceleration for HPC Supercapacitor Simulations,”10.1145/3592979.3593419__2023, doi:10.1145/3592979.3593419 .

S. Ochsenfeld and S. Schlichting, “Hydrodynamic and Non-hydrodynamic Excitations in Kinetic Theory -- A  Numerical Analysis in Scalar Field Theory,” arXiv:2308.04491. 2023.

M. Pleines, M. Pallasch, F. Zimmer, and M. Preuss, “Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of  Agents,” arXiv:2309.17207. 2023.

M. Meyer, T. Kenter, and C. Plessl, “Multi-FPGA Designs and Scaling of HPC Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks,”10.1145/3576200__ACM Transactions on Reconfigurable Technology and Systems, 2023, doi:10.1145/3576200 .

J.-O. Opdenhövel, C. Plessl, and T. Kenter, “Mutation Tree Reconstruction of Tumor Cells on FPGAs Using a Bit-Level Matrix Representation,”10.1145/3597031.3597050__2023, doi:10.1145/3597031.3597050 .

J. Faj, T. Kenter, S. Faghih-Naini, C. Plessl, and V. Aizinger, “Scalable Multi-FPGA Design of a Discontinuous Galerkin Shallow-Water Model on Unstructured Meshes,”10.1145/3592979.3593407__2023, doi:10.1145/3592979.3593407 .

C. Alt et al., “Shallow Water DG Simulations on FPGAs: Design and Comparison of a Novel Code Generation Pipeline,” in Lecture Notes in Computer Science, Cham: Springer Nature Switzerland, 2023.

L. Mazur et al., “SIMULATeQCD: A simple multi-GPU lattice code for QCD calculations,”10.48550/ARXIV.2306.01098__Computer Physics Communications, 2023, doi:10.48550/ARXIV.2306.01098 .

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M. Lass, Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations. Paderborn: Universität Paderborn, 2022.

T. Kühne, C. Plessl, R. Schade, and O. Schütt, “CK on the road to exascale,” arXiv:2205.14741. 2022.

M. Wojciechowski, “Dataset for random uniform distributions of 2D circles and 3D spheres.,” Data Brief, vol. 43, p. 108318, 2022.

N. Borghini, M. Borrell, and H. Roch, “Early time behavior of spatial and momentum anisotropies in kinetic  theory across different Knudsen numbers,” arXiv:2201.13294. 2022.

B. Bachmann, N. Borghini, N. Feld, and H. Roch, “Even anisotropic-flow harmonics are from Venus, odd ones are from Mars,” arXiv:2203.13306. 2022.

M. Meyer, T. Kenter, and C. Plessl, “In-depth FPGA Accelerator Performance Evaluation with Single Node Benchmarks from the HPC Challenge Benchmark Suite for Intel and Xilinx FPGAs using OpenCL,”10.1016/j.jpdc.2021.10.007__Journal of Parallel and Distributed Computing, 2022, doi:10.1016/j.jpdc.2021.10.007 .

L. Altenkort, A. M. Eller, O. Kaczmarek, L. Mazur, G. D. Moore, and H.-T. Shu, “Lattice QCD noise reduction for bosonic correlators through blocking,”10.1103/physrevd.105.094505__Physical Review D, vol. 105, no. 9, Art. no. 094505, 2022, doi:10.1103/physrevd.105.094505 .

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R. Schade, C. Bauer, K. Tamoev, L. Mazur, C. Plessl, and T. Kühne, “Parallel quantum chemistry on noisy intermediate-scale quantum computers,”10.1103/PhysRevResearch.4.033160__Phys. Rev. Research, vol. 4, p. 033160, 2022, doi:10.1103/PhysRevResearch.4.033160 .

E. Lesch et al., “Plant mitochondrial RNA editing factors can perform targeted C-to-U editing of nuclear transcripts in human cells,”10.1093/nar/gkac752__Nucleic Acids Research, vol. 50, no. 17, pp. 9966–9983, 2022, doi:10.1093/nar/gkac752 .

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

R. Schade et al., “Towards electronic structure-based ab-initio molecular dynamics simulations with hundreds of millions of atoms,”10.1016/j.parco.2022.102920__Parallel Computing, vol. 111, Art. no. 102920, 2022, doi:10.1016/j.parco.2022.102920 .

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 .

R. S. Chatwell, G. Guevara-Carrion, Y. Gaponenko, V. Shevtsova, and J. Vrabec, “Diffusion of the carbon dioxide–ethanol mixture in the extended critical region,”10.1039/d0cp04985a__Physical Chemistry Chemical Physics, vol. 23, no. 4, pp. 3106–3115, 2021, doi:10.1039/d0cp04985a .

O. Kaczmarek, L. Mazur, and S. Sharma, “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,”10.1103/physrevd.104.094518__Physical Review D, vol. 104, no. 9, Art. no. 094518, 2021, doi:10.1103/physrevd.104.094518 .

A. Ramaswami, T. Kenter, T. Kühne, and C. Plessl, “Evaluating the Design Space for Offloading 3D FFT Calculations to an FPGA for High-Performance Computing,” in Applied Reconfigurable Computing. Architectures, Tools, and Applications, Cham: Springer International Publishing, 2021.

T. Nickchen, S. Heindorf, and G. Engels, “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, Hawaii, 2021, pp. 1994–2002.

L. Altenkort, A. M. Eller, O. Kaczmarek, L. Mazur, G. D. Moore, and H.-T. Shu, “Heavy quark momentum diffusion from the lattice using gradient flow,”10.1103/physrevd.103.014511__Physical Review D, vol. 103, no. 1, Art. no. 014511, 2021, doi:10.1103/physrevd.103.014511 .

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 .

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L. Dabelow, S. Bo, and R. Eichhorn, “How irreversible are steady-state trajectories of a trapped active particle?,”10.1088/1742-5468/abe6fd__Journal of Statistical Mechanics: Theory and Experiment, vol. 2021, no. 3, Art. no. 033216, 2021, doi:10.1088/1742-5468/abe6fd .

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.

L. Altenkort, A. M. Eller, O. Kaczmarek, L. Mazur, G. D. Moore, and H.-T. Shu, “Sphaleron rate from Euclidean lattice correlators: An exploration,”10.1103/physrevd.103.114513__Physical Review D, vol. 103, no. 11, Art. no. 114513, 2021, doi:10.1103/physrevd.103.114513 .

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.

S. Alhaddad et al., “The HighPerMeshes framework for numerical algorithms on unstructured grids,”10.1002/cpe.6616__Concurrency and Computation: Practice and Experience, p. e6616, 2021, doi:10.1002/cpe.6616 .

J. Menzel, C. Plessl, and T. Kenter, “The Strong Scaling Advantage of FPGAs in HPC for N-body Simulations,”10.1145/3491235__ACM Transactions on Reconfigurable Technology and Systems, vol. 15, no. 1, pp. 1–30, 2021, doi:10.1145/3491235 .

R. Schade et al., “Towards Electronic Structure-Based Ab-Initio Molecular Dynamics  Simulations with Hundreds of Millions of Atoms,” arXiv:2104.08245. 2021.

M. Meyer, “Towards Performance Characterization of FPGAs in Context of HPC using OpenCL Benchmarks,”10.1145/3468044.3468058__2021, doi:10.1145/3468044.3468058 .

H. Mirhosseini, R. Kormath Madam Raghupathy, S. K. Sahoo, H. Wiebeler, M. Chugh, and T. D. Kühne, “In silico investigation of Cu(In,Ga)Se<sub>2</sub>-based solar cells,”10.1039/d0cp04712k__Physical Chemistry Chemical Physics, vol. 22, no. 46, pp. 26682–26701, 2020, doi:10.1039/d0cp04712k .

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 .

V. Rengaraj, M. Lass, C. Plessl, and T. Kühne, “Accurate Sampling with Noisy Forces from Approximate Computing,”10.3390/computation8020039__Computation, vol. 8, no. 2, Art. no. 39, 2020, doi:10.3390/computation8020039 .

T. Kühne et al., “CK: An electronic structure and molecular dynamics software package - Quickstep: Efficient and accurate electronic structure calculations,”10.1063/5.0007045__The Journal of Chemical Physics, vol. 152, no. 19, Art. no. 194103, 2020, doi:10.1063/5.0007045 .

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 .

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

T. Nickchen, G. Engels, and J. Lohn, “Opportunities of 3D Machine Learning for Manufacturability Analysis and Component Recognition in the Additive Manufacturing Process Chain,” in Industrializing Additive Manufacturing, Cham, 2020.

D. Richters, M. Lass, A. Walther, C. Plessl, and T. Kühne, “A General Algorithm to Calculate the Inverse Principal p-th Root of Symmetric Positive Definite Matrices,”10.4208/cicp.OA-2018-0053__Communications in Computational Physics, vol. 25, no. 2, pp. 564–585, 2019, doi:10.4208/cicp.OA-2018-0053 .

H. Riebler, Efficient parallel branch-and-bound search on FPGAs using work stealing and instance-specific designs. 2019.

M. Platzner and C. Plessl, “FPGAs im Rechenzentrum,”10.1007/s00287-019-01187-w__Informatik Spektrum, 2019, doi:10.1007/s00287-019-01187-w .

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.

H. Riebler, G. F. Vaz, T. Kenter, and C. Plessl, “Transparent Acceleration for Heterogeneous Platforms with Compilation to OpenCL,” ACM Trans. Archit. Code Optim. (TACO), vol. 16, no. 2, pp. 14:1–14:26, 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.

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 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 .

J. C. Mertens, A. Boschmann, M. Schmidt, and C. Plessl, “Sprint diagnostic with GPS and inertial sensor fusion,” Sports Engineering, vol. 21, no. 4, pp. 441–451, 2018.

S. M. H. Luk et al., “Theory of optically controlled anisotropic polariton transport in semiconductor double microcavities,”10.1364/josab.35.000146__Journal of the Optical Society of America B, vol. 35, no. 1, Art. no. 146, 2018, doi:10.1364/josab.35.000146 .

M. Lass, T. Kühne, and C. Plessl, “Using Approximate Computing for the Calculation of Inverse Matrix p-th Roots,” Embedded Systems Letters, vol. 10, no. 2, pp. 33–36, 2018.

H. Riebler, M. Lass, R. Mittendorf, T. Löcke, and C. Plessl, “Efficient Branch and Bound on FPGAs Using Work Stealing and Instance-Specific Designs,”10.1145/3053687__ACM Transactions on Reconfigurable Technology and Systems (TRETS), vol. 10, no. 3, p. 24:1-24:23, 2017, doi:10.1145/3053687 .

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 .

J. Schumacher, C. Plessl, and W. Vandelli, “High-Throughput and Low-Latency Network Communication with NetIO,”10.1088/1742-6596/898/8/082003__Journal of Physics: Conference Series, vol. 898, Art. no. 082003, 2017, doi:10.1088/1742-6596/898/8/082003 .

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.

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

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

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.

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

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.

G. F. Vaz, H. Riebler, T. Kenter, and C. Plessl, “Potential and Methods for Embedding Dynamic Offloading Decisions into Application Code,”10.1016/j.compeleceng.2016.04.021__Computers and Electrical Engineering, vol. 55, pp. 91–111, 2016, doi:10.1016/j.compeleceng.2016.04.021 .

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

A. Agne, M. Platzner, C. Plessl, M. Happe, and E. Lübbers, “ReconOS,” in FPGAs for Software Programmers, D. Koch, F. Hannig, and D. Ziener, Eds. Cham: Springer International Publishing, 2016, pp. 227–244.

A. Agne, M. Happe, A. Lösch, C. Plessl, and M. Platzner, “Self-aware Compute Nodes,” in Self-aware Computing Systems, Cham: Springer International Publishing, 2016, pp. 145–165.

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

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 .

C. Plessl, M. Platzner, and P. J. Schreier, “Aktuelles Schlagwort: Approximate Computing,”10.1007/s00287-015-0911-z__Informatik Spektrum, no. 5, pp. 396–399, 2015, doi:10.1007/s00287-015-0911-z .

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

T. Kenter, H. Schmitz, and C. Plessl, “Exploring Tradeoffs between Specialized Kernels and a Reusable Overlay in a Stereo-Matching Case Study,”10.1155/2015/859425__International Journal of Reconfigurable Computing (IJRC), vol. 2015, Art. no. 859425, 2015, doi:10.1155/2015/859425 .

J. Anderson et al., “FELIX: a High-Throughput Network Approach for Interfacing to Front End Electronics for ATLAS Upgrades,”10.1088/1742-6596/664/8/082050__Journal of Physics: Conference Series, vol. 664, Art. no. 082050, 2015, doi:10.1088/1742-6596/664/8/082050 .

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 .

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

S. Peitz and M. Dellnitz, “Multiobjective Optimization of the Flow Around a Cylinder Using Model Order Reduction,” PAMM, vol. 15, no. 1, pp. 613–614, 2015.

J. Torresen, C. Plessl, and X. Yao, “Self-Aware and Self-Expressive Systems – Guest Editor’s Introduction,” IEEE Computer, vol. 48, no. 7, pp. 18–20, 2015.

S. Hegler et al., “Simulative Ultraschall-Untersuchung von Pitch-Catch-Messanordnungen für große zylindrische Stahl-Prüflinge und gradientenbasierte Bildgebung,” tm - Technisches Messen, vol. 82, no. 9, pp. 440–450, 2015.

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 .

H. Giefers, C. Plessl, and J. Förstner, “Accelerating Finite Difference Time Domain Simulations with Reconfigurable Dataflow Computers,”10.1145/2641361.2641372__ACM SIGARCH Computer Architecture News, vol. 41, no. 5, pp. 65–70, 2014, doi:10.1145/2641361.2641372 .

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 .

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 .

A. Agne et al., “ReconOS - An Operating System Approach for Reconfigurable Computing,”10.1109/MM.2013.110__IEEE Micro, vol. 34, no. 1, pp. 60–71, 2014, doi:10.1109/MM.2013.110 .

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 .

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A. Agne, M. Happe, A. Lösch, C. Plessl, and M. Platzner, “Self-awareness as a Model for Designing and Operating Heterogeneous Multicores,”10.1145/2617596__ACM Transactions on Reconfigurable Technology and Systems (TRETS), vol. 7, no. 2, Art. no. 13, 2014, doi:10.1145/2617596 .

A. Agne, H. Hangmann, M. Happe, M. Platzner, and C. Plessl, “Seven Recipes for Setting Your FPGA on Fire – A Cookbook on Heat Generators,”10.1016/j.micpro.2013.12.001__Microprocessors and Microsystems, vol. 38, no. 8, Part B, pp. 911–919, 2014, doi:10.1016/j.micpro.2013.12.001 .

M. Platzner and C. Plessl, “Verschiebungen an der Grenze zwischen Hardware und Software,” in Logiken strukturbildender Prozesse: Automatismen, J. Künsemöller, N. O. Eke, L. Foit, and T. Kaerlein, Eds. Paderborn: Wilhelm Fink, 2014, pp. 123–144.

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

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

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.

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 .

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, “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, vol. 22, no. 3, pp. 522–536, 2013.

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 .

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

S. Gesing et al., “A Science Gateway Getting Ready for Serving the International Molecular Simulation Community,” in Proceedings of Science, 2012, vol. PoS(EGIC-EMIT)050.

S. Gesing et al., “A Single Sign-On Infrastructure for Science Gateways on a Use Case for Structural Bioinformatics,” Journal of Grid Computing, vol. 10, no. 4, pp. 769–790, 2012.

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.

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.

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

O. Niehörster, J. Simon, A. Brinkmann, A. Keller, and J. Krüger, “Cost-aware and SLO Fulfilling Software as a Service,” Journal of Grid Computing, vol. 10, no. 3, pp. 553–577, 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.

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

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.

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

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

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.

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

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

T. Schumacher, C. Plessl, and M. Platzner, “IMORC: An Infrastructure and Architecture Template for Implementing High-Performance Reconfigurable FPGA Accelerators,”10.1016/j.micpro.2011.04.002__Microprocessors and Microsystems, vol. 36, no. 2, pp. 110–126, 2012, doi:10.1016/j.micpro.2011.04.002 .

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

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.

S. Redif and S. Kasap, “Parallel algorithm for computation of second-order sequential best rotations,” Int. Journal of Electronics, vol. 100, no. 12, pp. 1646–1651, 2012.

S. Kasap and K. Benkrid, “Parallel Processor Design and Implementation for Molecular Dynamics Simulations on a FPGA Parallel Computer,” Journal of Computers, vol. 7, no. 6, pp. 1312–1328, 2012.

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

T. Beisel, T. Wiersema, C. Plessl, and A. Brinkmann, “Programming and Scheduling Model for Supporting Heterogeneous Accelerators in Linux,” 2012.

K. Thielemans et al., “STIR: Software for Tomographic Image Reconstruction Release 2,” Physics in Medicine and Biology, vol. 57, no. 4, pp. 867–883, 2012.

S. Gesing et al., “The MoSGrid Community From National to International Scale,” in Proc. EGI Community Forum, 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.

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

S. Herres-Pawlis et al., “Workflow-enhanced conformational analysis of guanidine zinc complexes via a science gateway,” Studies in Health Technology and Informatics, vol. 175, pp. 142–151, 2012.

S. Gesing et al., “A Science Gateway for Molecular Simulations,” in Proc. EGI User Forum, 2011, pp. 94–95.

O. Niehörster, A. Keller, and A. Brinkmann, “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), 2011.

O. Niehörster and A. Brinkmann, “Autonomic Resource Management Handling Delayed Configuration Effects,” in Proc. IEEE Int. Conf. on Cloud Computing Technology and Science (CloudCom), 2011, pp. 138–145.

O. Niehörster, J. Simon, A. Brinkmann, and A. Krieger, “Autonomic Resource Management with Support Vector Machines,” in Proc. IEEE/ACM Int. Conf. on Grid Computing (GRID), 2011, pp. 157–164.

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

T. Kenter, C. Plessl, M. Platzner, and M. Kauschke, “Estimation and Partitioning for CPU-Accelerator Architectures,” in Intel European Research and Innovation Conference, 2011.

M. Grawinkel, T. Schäfer, A. Brinkmann, J. Hagemeyer, and M. Porrmann, “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), 2011, pp. 297–306.

T. Schumacher, T. Süß, C. Plessl, and M. Platzner, “FPGA Acceleration of Communication-bound Streaming Applications: Architecture Modeling and a 3D Image Compositing Case Study,”10.1155/2011/760954__Int. Journal of Recon- figurable Computing (IJRC), 2011, doi:10.1155/2011/760954 .

S. Gesing et al., “Granular Security for a Science Gateway in Structural Bioinformatics,” in Proc. Int. Workshop on Scientific Gateways (IWSG), 2011.

C. Plessl and M. Platzner, “Hardware Virtualization on Dynamically Reconfigurable Embedded Processors,” in Reconfigurable Embedded Control Systems: Applications for Flexibility and Agility, M. Khalgui and H.-M. Hanisch, Eds. Hershey, PA, USA: IGI Global, 2011.

G. Birkenheuer et al., “Infrastructure Federation Through Virtualized Delegation of Resources and Services,” Journal of Grid Computing, vol. 9, no. 3, pp. 355–377, 2011.

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

M. Grawinkel, M. Pargmann, H. Dömer, and A. Brinkmann, “Lonestar: An Energy-Aware Disk Based Long-Term Archival Storage System,” in Proc. IEEE Int. Conf. on Parallel and Distributed Systems (ICPADS), 2011, pp. 380–387.

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

G. Birkenheuer et al., “MoSGrid: Progress of Workflow driven Chemical Simulations,” in Proc. of Grid Workflow Workshop (GWW), 2011, vol. 829.

T. Graf, U. Lorenz, M. Platzner, and L. Schaefers, “Parallel Monte-Carlo Tree Search for HPC Systems,” in Proc. European Conf. on Parallel Processing (Euro-Par), 2011, vol. 6853.

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

A. Miranda, S. Effert, Y. Kang, E. Miller, A. Brinkmann, and T. Cortes, “Reliable and Randomized Data Distribution Strategies for Large Scale Storage Systems,” in Proc. Int. Conf. on High Performance Computing (HIPC), 2011, pp. 1–10.

A. Brinkmann, Y. Gao, M. Korzeniowski, and D. Meister, “Request Load Balancing for Highly Skewed Traffic in P Networks,” in Proc. IEEE Int. Conf. on Networking, Architecture and Storage (NAS), 2011, pp. 53–62.

C. Kleineweber, A. Keller, O. Niehörster, and A. Brinkmann, “Rule Based Mapping of Virtual Machines in Clouds,” in Proc. Int. Conf. on Parallel, Distributed and Network-Based Computing (PDP), 2011.

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

G. Birkenheuer et al., “Virtualized HPC: a contradiction in terms?,” Software: Practice and Experience, 2011.

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

P. Berenbrink, A. Brinkmann, T. Friedetzky, and L. Nagel, “Balls into Bins with Related Random Choices,” in Proc. Int. Symp. on Parallelism in Algorithms and Architectures (SPAA), 2010, pp. 100–105.

P. Berenbrink, A. Brinkmann, T. Friedetzky, and L. Nagel, “Balls into Non-uniform Bins,” in Proc. Int. Symp. on Parallel and Distributed Processing (IPDPS), 2010, pp. 1–10.

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

D. Meister and A. Brinkmann, p: Improving Deduplication Throughput using Solid State Drives (SSD),” in Proc. Symp. on Mass Storage Systems and Technologies (MSST), 2010, pp. 1–6.

O. Niehörster, A. Brinkmann, G. Fels, J. Krüger, and J. Simon, “Enforcing SLAs in Scientific Clouds,” in Proc. Int. Conf. on Cluster Computing (CLUSTER), 2010, pp. 178–187.

G. Birkenheuer et al., “Grid-Workflows in Molecular Science,” in Proc. of Grid Workflow Workshop (GWW), 2010, pp. 177–184.

P. H. Lensing, D. Meister, and A. Brinkmann, “hashFS: Applying Hashing to Optimized File Systems for Small File Reads,” in Proc. Int. Worksh. on Storage Network Architecture and Parallel I/Os (SNAPI), 2010, pp. 33–42.

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

N. R. Prasad et al., “Open Source Middleware for Networked Embedded Systems towards Future Internet of Things,” in Vision and Challenges for Realising the Internet of Things, H. Sundmaeker, P. Guillemin, P. Friess, and S. Woelfflé, Eds. European Commission, 2010, pp. 153–163.

T. Kenter, M. Platzner, C. Plessl, and M. Kauschke, “Performance Estimation for the Exploration of CPU-Accelerator Architectures,” in Proc. Workshop on Architectural Research Prototyping (WARP), International Symposium on Computer Architecture (ISCA), 2010.

T. P. Plaks et al., Eds., Proc. Int. Conf. on Engineering of Reconfigurable Systems and Algorithms (ERSA). CSREA Press, 2010.

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

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

Y. Gao, D. Meister, and A. Brinkmann, “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), 2010, pp. 126–134.

A. Brinkmann, D. Battré, G. Birkenheuer, O. Kao, and K. Voß, “Risikomanagement für verteilte Umgebungen,” ForschungsForum Paderborn, vol. 13, no. 13, 2010.

G. Birkenheuer, A. Brinkmann, and H. Karl, “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, 2010, pp. 51–76.

M. Woehrle, C. Plessl, and L. Thiele, “Rupeas: Ruby Powered Event Analysis DSL,”10.1109/INSS.2010.5572211__in Proc. Int. Conf. Networked Sensing Systems (INSS), 2010, pp. 245–248, doi:10.1109/INSS.2010.5572211 .

M. Bienkowski, A. Brinkmann, M. Klonowski, and M. Korzeniowski, “SkewCCC+: A Heterogeneous Distributed Hash Table,” in Proceedings of the 14th International Conference On Principles Of Distributed Systems (Opodis), 2010, vol. 6490.

M. Wewior et al., “The MoSGrid Gaussian Portlet - Technologies for the Implementation of Portlets for Molecular Simulations,” in Proc. Int. Workshop on Scientific Gateways (IWSG), 2010, pp. 39–43.

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

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

S. Gesing et al., “Workflow Interoperability in a Grid Portal for Molecular Simulations,” in Proc. Int. Workshop on Scientific Gateways (IWSG), 2010, pp. 44–48.

A. Brinkmann and D. Eschweiler, “A Microdriver Architecture for Error Correcting Codes inside the Linux Kernel,” Journal of Supercomputing, pp. 35:1-35:10, 2009.

T. Schumacher, C. Plessl, and M. Platzner, “An Accelerator for k-th Nearest Neighbor Thinning Based on the IMORC Infrastructure,” in Proc. Int. Conf. on Field Programmable Logic and Applications (FPL), 2009, pp. 338–344.

A. Höing, G. Scherp, S. Gudenkauf, D. Meister, and A. Brinkmann, “An Orchestration as a Service Infrastructure using Grid Technologies and WS-BPEL,” in Proc. Int. Conf. on Service Oriented Computing (ICSOC), 2009, vol. 5900, pp. 301–315.

T. Schumacher, T. Süß, C. Plessl, and M. Platzner, “Communication Performance Characterization for Reconfigurable Accelerator Design on the ,”10.1109/ReConFig.2009.32__in Proc. Int. Conf. on ReConFigurable Computing and FPGAs (ReConFig), 2009, pp. 119–124, doi:10.1109/ReConFig.2009.32 .

G. Birkenheuer et al., “Connecting Communities on the Meta-Scheduling Level: The DGSI Approach!,” in Proc. Cracow Grid Workshop (CGW), 2009, pp. 96–103.

P. Kaufmann, C. Plessl, and M. Platzner, “EvoCaches: Application-specific Adaptation of Cache Mapping,” in Proc. NASA/ESA Conference on Adaptive Hardware and Systems (AHS), 2009, pp. 11–18.

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