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V. Churavy et al., “Bridging HPC Communities through the Julia Programming Language.” 2022.

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

V. Gavini et al., “Roadmap on Electronic Structure Codes in the Exascale Era,” arXiv:2209.12747. 2022.

V. Gavini et al., “Roadmap on Electronic Structure Codes in the Exascale Era,” arXiv:2209.12747. 2022.

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 .

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.

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 .

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

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

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 .

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

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

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

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

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

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 .

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

M. 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.

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.

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 .

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

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

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

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 .

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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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.

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 .

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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.

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 .

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.

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.

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.

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. 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.

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

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.

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.

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.