Wissenschaftliche Artikel

Träff, J. L. (2018). Practical, distributed, low overhead algorithms for irregular gather and scatter collectives. Parallel Computing: Systems & Applications, 75, 100–117. https://doi.org/10.1016/j.parco.2018.04.003 ( reposiTUm)
Carpen-Amarie, A., Hunold, S., & Träff, J. L. (2017). On expected and observed communication performance with MPI derived datatypes. Parallel Computing: Systems & Applications, 69, 98–117. https://doi.org/10.1016/j.parco.2017.08.006 ( reposiTUm)

Beiträge in Tagungsbänden

Lübbe, F. D. (2017). Micro-benchmarking MPI Neighborhood Collective Operations. In F. F. Rivera, T. F. Pena, & J. C. Cabaleiro (Eds.), Euro-Par 2017: Parallel Processing 23rd International Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28 – September 1, 2017, Proceedings (pp. 65–78). Springer. https://doi.org/10.1007/978-3-319-64203-1_5 ( reposiTUm)
Träff, J. L. (2017). Practical, linear-time, fully distributed algorithms for irregular gather and scatter. In Proceedings of the 24th European MPI Users’ Group Meeting on - EuroMPI ’17. 24th European MPI Users’ Group Meeting (EuroMPI/USA 2017), Chicago, IL, United States of America (the). ACM. https://doi.org/10.1145/3127024.3127025 ( reposiTUm)
Carpen-Amarie, A., Hunold, S., & Träff, J. L. (2016). On the Expected and Observed Communication Performance with MPI Derived Datatypes. In D. Holmes, A. Collis, J. L. Träff, & L. Smith (Eds.), Proceedings of the 23rd European MPI Users’ Group Meeting. ACM. https://doi.org/10.1145/2966884.2966905 ( reposiTUm)
Hunold, S., Carpen-Amarie, A., Lübbe, F. D., & Träff, J. L. (2016). Automatic Verification of Self-consistent MPI Performance Guidelines. In P.-F. Dutot & D. Trystram (Eds.), Euro-Par 2016: Parallel Processing (pp. 433–446). Springer International Publishing. https://doi.org/10.1007/978-3-319-43659-3_32 ( reposiTUm)
Träff, J. L., Lübbe, F. D., Rougier, A., & Hunold, S. (2015). Isomorphic, Sparse MPI-like Collective Communication Operations for Parallel Stencil Computations. In J. Dongarra, A. Denis, B. Goglin, E. Jeannot, & G. Mercier (Eds.), Proceedings of the 22nd European MPI Users’ Group Meeting. ACM. https://doi.org/10.1145/2802658.2802663 ( reposiTUm)
Hunold, S., & Carpen-Amarie, A. (2015). On the Impact of Synchronizing Clocks and Processes on Benchmarking MPI Collectives. In J. Dongarra, A. Denis, B. Goglin, E. Jeannot, & G. Mercier (Eds.), Proceedings of the 22nd European MPI Users’ Group Meeting. ACM. https://doi.org/10.1145/2802658.2802662 ( reposiTUm)
Träff, J. L., & Lübbe, F. D. (2015). Specification Guideline Violations by MPI_Dims_create. In J. Dongarra, A. Denis, B. Goglin, E. Jeannot, & G. Mercier (Eds.), Proceedings of the 22nd European MPI Users’ Group Meeting. ACM. https://doi.org/10.1145/2802658.2802677 ( reposiTUm)
Hunold, S., Carpen-Amarie, A., & Träff, J. L. (2014). Reproducible MPI Micro-Benchmarking Isn’t As Easy As You Think. In J. Dongarra, Y. Ishikawa, & A. Hori (Eds.), Proceedings of the 21st European MPI Users’ Group Meeting. ACM. https://doi.org/10.1145/2642769.2642785 ( reposiTUm)

Präsentationen

Träff, J. L. (2016). On The Power of Structured Data in MPI. Guest Lecture of the course: Parallel and High Performance Computing, LMU Munich, Munich, Germany, EU. http://hdl.handle.net/20.500.12708/86357 ( reposiTUm)
Träff, J. L. (2014). The Power of Structured Data in MPI. I3MS Seminar Series, Aachen GRS, RWTH Aachen, Aachen, Germany, EU. http://hdl.handle.net/20.500.12708/85805 ( reposiTUm)
Hunold, S., Carpen-Amarie, A., & Träff, J. L. (2014). Reproducible MPI Micro-Benchmarking Isn’t As Easy As You Think. Research Group Theory and Applications of Algorithms, University of Vienna, Vienna, Austria, Austria. http://hdl.handle.net/20.500.12708/85872 ( reposiTUm)

Preprints

Träff, J. L. (2017). Practical, Linear-time, Fully Distributed Algorithms for Irregular Gather and Scatter (1702.05967). arXiv. https://doi.org/10.48550/arXiv.1702.05967 ( reposiTUm)
Hunold, S., Carpen-Amarie, A., Lübbe, F. D., & Träff, J. L. (2016). PGMPI: Automatically Verifying Self-Consistent MPI Performance Guidelines. arXiv. https://doi.org/10.48550/arXiv.1606.00215 ( reposiTUm)
Carpen-Amarie, A., Hunold, S., & Träff, J. L. (2016). MPI Derived Datatypes: Performance Expectations and Status Quo. arXiv. https://doi.org/10.48550/arXiv.1607.00178 ( reposiTUm)