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.

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.

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 

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.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.https://doi.org/10.1145/3592979.3593419 

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 

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.

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.

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.

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.

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.

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.

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.

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.

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.https://doi.org/10.1145/3468267.3470617 

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 

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 

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

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 

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 

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 

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 

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 

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 

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 

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).

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 

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 

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 

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 

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 

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 

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 

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 

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 

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.

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 

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).

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 

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.

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).

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 

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.