Practical Computer Science
Projects


Logo MERGE

MERGE – Technologiefusion für multifunktionale Leichtbaustrukturen

IRD F: Modelling, Integrative Simulation and Optimisation

Exzellenzcluster im Rahmen der dritten Runde der Exzellenzinitiative des Bundes und der Länder zur Stärkung der universitären Spitzenforschung.

Der Forschungsbereich F des Exzellenzclusters MERGE beschäftigt sich mit der Simulation und Optimierung von kurzfaserverstärkten Kunststoffbauteilen. Hierzu werden sowohl Fertigungssimulationen des Spritzgussprozesses als auch Belastungssimulationen der Bauteile mit Methoden der numerischen Strömungsmechanik und der finiten Elemente durchgeführt. An der Professur Praktische Informatik werden Methoden zur Integration unterschiedlichster Simulations- und Anwendungsprogramme in den komplexen Optimierungsablauf für Leichtbaustrukturen entwickelt. Ein Schwerpunkt bildet dabei die Entwicklung einer Kommunikationsbibliothek zur programmtechnischen Kopplung von eigenständigen Softwarekomponenten, die auf verschiedenen Rechnerplattformen flexibel verteilt ausgeführt werden. Weiterhin wird die effiziente Verteilung von rechenintensiven Simulationsaufgaben auf in Umfang und Rechenleistung variierenden Rechenressourcen untersucht.

Ansprechpartner

Meldungen

Veröffentlichungen

  • Dietze, R.; Rünger, G.: The Search-based Scheduling Algorithm HP* for Parallel Tasks on Heterogeneous Platforms. In: Concurrency and Computation: Practice and Experience. Wiley, 2020. DOI: 10.1002/cpe.5898 Online resource available
  • Kramer, R.; Rünger, G.: A Web-Based Support for the Management and Evaluation of Measurement Data from Stress-Strain and Continuous-Cooling-Transformation Experiments. In: Information Systems Architecture and Technology: Proceedings of 40th Anniversary International Conference on Information Systems Architecture and Technology -- ISAT 2019: pp. 150--159. Springer International Publishing  –  ISBN 978-3-030-30440-9. Cham, 2020. DOI: 10.1007/978-3-030-30440-9_15 Online resource available
  • Kramer, R.; Rünger, G.: Performance and efficiency investigations of SIMD programs of Coulomb solvers on multi- and many-core systems with vector units. In: 2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing -- PDP 2020. IEEE Computer Society Conference Publishing Services (CPS)  –  ISBN 978-1-7281-6582-0, 2020. DOI: 10.1109/PDP50117.2020.00044 Online resource available
  • Dietze, R.; Rünger, G.: Search-based Scheduling for Parallel Tasks on Heterogenous Platforms. In: Euro-Par 2019: Parallel Processing Workshops: pp. 333-344. Springer  –  ISBN 978-3-030-48340-1. Göttingen, Germany, August 2019. DOI: 10.1007/978-3-030-48340-1_26 Online resource available
  • Rauber, T.; Rünger, G.: Enabling Scalability, Adaptivity, and Resilience in Cloud Applications by Software-defined M-Task-based Programming. In: Proceedings of the 6th International Conference on Software Defined Systems (SDS 2019): pp. 88-95. IEEE  –  ISBN 978-1-7281-0722-6. Rome, Italy, June 2019. DOI: 10.1109/sds.2019.8768599 Online resource available
  • Rauber, T.; Rünger, G.: DVFS RK: Performance and Energy Modeling of Frequency-Scaled Multithreaded Runge-Kutta Methods. In: Proceedings of the 27th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP 2019): pp. 392-399. IEEE  –  ISBN 978-1-7281-1644-0. Pavia, Italy, February 2019. DOI: 10.1109/empdp.2019.8671593 Online resource available
  • Rauber, T.; Rünger, G.: A Scheduling Selection Process for Energy-efficient Task Execution on DVFS Processors. In: Concurrency and Computation: Practice and Experience, vol. 31. Wiley  –  ISSN 1532-0626, Juni 2019. DOI: 10.1002/cpe.5043 Online resource available
  • Rauber, T.; Rünger, G.; Stachowski, M.: Model-based optimization of the energy efficiency of multi-threaded applications. In: Sustainable Computing: Informatics and Systems, vol. 22: pp. 44-61. Elsevier  –  ISSN 2210-5379, 2019. DOI: 10.1016/j.suscom.2019.01.022 Online resource available
  • Dietze, R.; Hofmann, M.; Rünger, G.: Analysis and Modeling of Resource Contention Effects based on Benchmark Applications. In: International Conference on High Performance Computing & Simulation (HPCS 2018), Special Session on High Performance Computing Benchmarking and Optimization (HPBench 2018): pp. 330-337. IEEE  –  ISBN 978-1-5386-7879-4. Orléans, France, July 2018. DOI: 10.1109/HPCS.2018.00062 Online resource available
  • Hofmann, M.; Rünger, G.: Flexible all-to-all data redistribution methods for grid-based particle codes. In: Concurrency and Computation: Practice and Experience, vol. 30, no. 18: pp. e4421. Wiley  –  ISSN 1532-0634, 2018. DOI: 10.1002/cpe.4421 Online resource available
  • Dietze, R.; Goldberg, N.; Herzog, R.; Hofmann, M.; Ihlemann, J.; Meyer, A.; Ospald, F.; Rünger, G.; Springer, R.: Integrating models for fiber reinforced materials into Finite Element simulations. In: Proceedings of the 3rd International MERGE Technologies Conference for Lightweight Structures (IMTC 2017). Verlag Wissenschaftliche Scripten  –  ISBN 978-3-95735-066-4, September 2017.
  • Dietze, R.; Hofmann, M.; Rünger, G.: Resource contention aware execution of multiprocessor tasks on heterogeneous platforms. In: Proceedings of the 15th International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms (Heteropar'2017): pp. 390-402. Springer  –  ISBN 978-3-319-75178-8. Santiago de Compostela, Spain, August 2017 (published 2018). DOI: 10.1007/978-3-319-75178-8_32 Online resource available
  • Dietze, R.; Hofmann, M.; Rünger, G.: Resource Contention Aware Scheduling of Multiprocessor Tasks on Heterogeneous Platforms. Poster presented at PhD Forum, International Supercomputing Conference: High Performance (ISC 2017). Frankfurt, Germany, June 2017. DOI: 10.13140/RG.2.2.32630.91200 Online resource available
  • Dietze, R.; Hofmann, M.; Rünger, G.: Integrating generic FEM simulations into complex simulation applications. In: Scalable Computing: Practice and Experience, Special issue on High Performance Computing Solutions for Complex Problems, vol. 18, no. 2: pp. 133-144. Universitatea de Vest din Timisoara  –  ISSN 1895-1767, 2017. DOI: 10.12694/scpe.v18i2.1285 Online resource available
  • Hofmann, M.; Polster, F.; Streller, R.; Walther, D.: Transparent execution of numerical libraries on distributed HPC platforms. In: Book of Abstracts of the 11th International Workshop on Parallel Numerics (PARNUM 2017): pp. 6. Waischenfeld, Germany, April 2017. DOI: 10.13140/RG.2.2.21647.48806 Online resource available
  • Jakobs, T.; Rünger, G.: Improving Energy Efficiency through Vectorization. Poster presented at PhD Forum, International Supercomputing Conference: High Performance (ISC 2017). Frankfurt, Germany, June 2017. DOI: 10.13140/RG.2.2.28017.17767 Online resource available
  • Rauber, T.; Rünger, G.: Comparison of Time and Energy Oriented Scheduling for Task-based programs. In: Proceedings of the 12th International Conference on Parallel Processing and Applied Mathematics (PPAM 2017) (Lecture Notes in Computer Science, vol. 10777): pp. 185-196. Springer  –  ISBN 978-3-319-78024-5. Lublin, Poland, September 2017 (published March 2018). DOI: 10.1007/978-3-319-78024-5_17 Online resource available
  • Rauber, T.; Rünger, G.: Tuning Energy Effort and Execution Time of Application Software. In: Proceedings of the 38th International Conference on Information Systems Architecture and Technology (ISAT 2017) (Advances in Intelligent Systems and Computing, vol. 656): pp. 239-251. Springer  –  ISBN 978-3-319-67228-1. Szklarska Poręba, Poland, September 2017. DOI: 10.1007/978-3-319-67229-8_22 Online resource available
  • Rauber, T.; Rünger, G.; Stachowski, M.: Performance and Energy Metrics for Multi-threaded Applications on DVFS Processors. In: Sustainable Computing: Informatics and Systems, vol. 17: pp. 55-68. Elsevier  –  ISSN 2210-5379, 2017 (published March 2018). DOI: 10.1016/j.suscom.2017.10.015 Online resource available
  • Rauber, T.; Rünger, G.; Stachowski, M.: Model-based Optimization of the Energy Efficiency of Multi-threaded Applications. In: Proceedings of the 8th International Green and Sustainable Computing Conference (IGSC 2017): pp. 1-6. IEEE  –  ISBN 978-1-5386-3470-7. Orlando, USA, October 2017 (published 2018). DOI: 10.1109/IGCC.2017.8323578 Online resource available
  • Rauber, T.; Rünger, G.; Stachowski, M.: Towards New Metrics for Appraising Performance and Energy Efficiency of Parallel Scientific Programs. In: Proceedings of the 13th IEEE International Conference on Green Computing and Communication (GreenCom-2017): pp. 466-474. IEEE  –  ISBN 978-1-5386-3066-2. Exeter, United Kingdom, June 2017 (published 2018). DOI: 10.1109/iThings-GreenCom-CPSCom-SmartData.2017.75 Online resource available
  • Dietze, R.; Hofmann, M.; Rünger, G.: Water-Level scheduling for parallel tasks in compute-intensive application components. In: The Journal of Supercomputing, Special Issue on Sustainability on Ultrascale Computing Systems and Applications, vol. 72, no. 11: pp. 4047-4068. Springer  –  ISSN 1573-0484, 2016. DOI: 10.1007/s11227-016-1711-1 Online resource available
  • Hofmann, M.; Rünger, G.; Seifert, T.: Transparent redirection of file-based data accesses for distributed scientific applications. In: Proceedings of the 19th IEEE International Conference on Computational Science and Engineering (CSE 2016): pp. 1-8. IEEE  –  ISBN 978-1-5090-3593-9. Paris, France, August 2016. DOI: 10.1109/CSE-EUC-DCABES.2016.236 Online resource available
  • Jakobs, T.; Hofmann, M.; Rünger, G.: Reducing the Power Consumption of Matrix Multiplications by Vectorization. In: Proceedings of the 19th IEEE International Conference on Computational Science and Engineering (CSE 2016): pp. 1-8. IEEE  –  ISBN 978-1-5090-3593-9. Paris, France, August 2016. DOI: 10.1109/CSE-EUC-DCABES.2016.187 Online resource available
  • Dietze, R.; Hofmann, M.; Rünger, G.: Exploiting Heterogeneous Compute Resources for Optimizing Lightweight Structures. In: Blas, J. G.; Carretero, J.; Jeannot, E.; Wyrzykowski, R. (Eds.): Proceedings of the 2nd International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2015): pp. 127-134  –  ISBN 978-84-608-2581-4. Krakow, Poland, September 2015. Online resource available
  • Hannusch, S.; Herzog, R.; Hofmann, M.; Ihlemann, J.; Kroll, L.; Meyer, A.; Ospald, F.; Rünger, G.; Springer, R.; Stockmann, M.; Ulke-Winter, L.: Efficient Simulation, Optimization, and Validation of Lightweight Structures. In: Proceedings of the 2nd International MERGE Technologies Conference for Lightweight Structures (IMTC 2015): pp. 219-227. Verlag Wissenschaftliche Scripten. Best Paper Award  –  ISBN 978-3-95735-025-1. Chemnitz, Germany, Oktober 2015.
  • Hofmann, M.; Rünger, G.: Sustainability through flexibility: Building complex simulation programs for distributed computing systems. In: Simulation Modelling Practice and Theory, Special Issue on Techniques and Applications for Sustainable Ultrascale Computing Systems, vol. 58, no. 1: pp. 65-78. Elsevier  –  ISSN 1569-190X, 2015. DOI: 10.1016/j.simpat.2015.05.007 Online resource available
  • Hofmann, M.; Ospald, F.; Schmidt, H.; Springer, R.: Programming Support for the Flexible Coupling of Distributed Software Components for Scientific Simulations. In: Holzinger, A.; Libourel, T.; Maciaszek, L. A.; Mellor, S. J. (Eds.): Proceedings of the 9th International Conference on Software Engineering and Applications (ICSOFT-EA 2014): pp. 506-511. SciTePress  –  ISBN 978-989-758-036-9. Vienna, Austria, August 2014. DOI: 10.5220/0005105405060511 Online resource available
  • Lang, J.; Rünger, G.: An execution time and energy model for an energy-aware execution of a conjugate gradient method with CPU/GPU collaboration. In: Journal of Parallel and Distributed Computing, vol. 74, no. 9: pp. 2884-2897. Elsevier  –  ISSN 0743-7315, 2014. DOI: 10.1016/j.jpdc.2014.06.001 Online resource available
  • Rauber, T.; Rünger, G.; Schwind, M.; Xu, H.; Melzner, S.: Energy Measurement, Modeling, and Prediction for Processors with Frequency Scaling. In: The Journal of Supercomputing, vol. 70, no. 3: pp. 1451-1476. Springer  –  ISSN 0920-8542, 2014. DOI: 10.1007/s11227-014-1236-4 Online resource available
  • Hofmann, M.; Rünger, G.: Efficient Data Redistribution Methods for Coupled Parallel Particle Codes. In: Proceedings of the 42nd International Conference on Parallel Processing (ICPP-2013): pp. 40-49. IEEE  –  ISSN 0190-3918. Lyon, France, Oktober 2013. DOI: 10.1109/ICPP.2013.13 Online resource available
  • Hofmann, M.; Rünger, G.: In-place Algorithms for the Symmetric All-to-all Exchange with MPI. In: Blas, J. G.; Carretero, J.; Dongarra, J. (Eds.): Recent Advances in the Message Passing Interface: 20th European MPI Users' Group Meeting (EuroMPI 2013): pp. 105-110. ACM  –  ISBN 978-1-4503-1903-4. Madrid, Spain, September 2013. DOI: 10.1145/2488551.2488568 Online resource available

Studentische Arbeiten


  • Robert Dietze, Effiziente Ausführung paralleler Simulationstasks auf verteilten Rechenressourcen, Master's thesis, 2015 (finished).
    Advisor: Gudula Rünger, Michael Hofmann
    Defense: 21.07.2015 - 10:30 , Room 1/367
  • Daniel Walther, Transparente Auslagerung von BLAS-Operationen auf verteilte Rechenressourcen, Bachelor's thesis, 2016 (finished).
    Advisor: Gudula Rünger, Michael Hofmann
    Defense: 15.03.2016 - 14:00
  • Riko Streller, Client-Server-Realisierung zur Auslagerung von numerischen Operationen auf HPC-Rechner, Master's thesis, 2017 (finished).
    Advisor: Gudula Rünger, Michael Hofmann
    Defense: 15.06.2017 - 15:00 , Room 1/305

Student works in 2015

  • Robert Dietze, Effiziente Ausführung paralleler Simulationstasks auf verteilten Rechenressourcen, Master's thesis, 2015 (finished).
    Advisor: Gudula Rünger, Michael Hofmann
    Defense: 21.07.2015 - 10:30 , Room 1/367

Student works in 2016

  • Daniel Walther, Transparente Auslagerung von BLAS-Operationen auf verteilte Rechenressourcen, Bachelor's thesis, 2016 (finished).
    Advisor: Gudula Rünger, Michael Hofmann
    Defense: 15.03.2016 - 14:00

Student works in 2017

  • Riko Streller, Client-Server-Realisierung zur Auslagerung von numerischen Operationen auf HPC-Rechner, Master's thesis, 2017 (finished).
    Advisor: Gudula Rünger, Michael Hofmann
    Defense: 15.06.2017 - 15:00 , Room 1/305