TU Wien Informatics

20 Years

Jesper Larsson Träff

Univ.Prof. Dr. / MSc PhD

Research Focus

Research Areas

  • parallel algorithms, Scheduling, parallel computing, parallel programming, parallel programming models, Message Passing Interface (MPI)
Jesper Larsson Träff

About

Basic Research in Parallel Computing with focus on - Models and Algorithms for fundamental problems - Algorithms and Data Structures for Shared-Memory Systems - Complexity theory for Parallel Computing - Scheduling and Routing - Software Interfaces for Parallel Computing, for example Message-Passing Interface (MPI) - High-Performance Computing - experimental parallel Algorithmics - Performance Analysis and Benchmarking

Roles

2024

2023

2022

2021

2020

  • Special issue: Selected papers from EuroMPI 2019 / Träff, J. L., & Hoefler, T. (2020). Special issue: Selected papers from EuroMPI 2019. Parallel Computing, 99, Article 102695. https://doi.org/10.1016/j.parco.2020.102695
  • High-Quality Hierarchical Process Mapping / Faraj, M. F., van der Grinten, A., Meyerhenke, H., Träff, J. L., & Schulz, C. (2020). High-Quality Hierarchical Process Mapping. arXiv. https://doi.org/10.48550/arXiv.2001.07134
  • k-ported vs. k-lane Broadcast, Scatter, and Alltoall Algorithms / Träff, J. L. (2020). k-ported vs. k-lane Broadcast, Scatter, and Alltoall Algorithms. arXiv. https://doi.org/10.48550/arXiv.2008.12144
  • Efficient Process-to-Node Mapping Algorithms for Stencil Computations / Hunold, S., von Kirchbach, K., Lehr, M., Schulz, C., & Träff, J. L. (2020). Efficient Process-to-Node Mapping Algorithms for Stencil Computations. arXiv. https://doi.org/10.48550/arXiv.2005.09521
    Project: Process Mapping (2019–2024)
  • Decomposing MPI Collectives for Exploiting Multi-lane Communication / Träff, J. L. (2020). Decomposing MPI Collectives for Exploiting Multi-lane Communication. SPCL_Bcast, ETH Zürich, Zürich, Switzerland. http://hdl.handle.net/20.500.12708/87082
  • High-Quality Hierarchical Process Mapping / Faraj, M. F., van der Grinten, A., Meyerhenke, H., Träff, J. L., & Schulz, C. (2020). High-Quality Hierarchical Process Mapping. In S. Faro & D. Cantone (Eds.), 18th International Symposium on Experimental Algorithms, SEA 2020 (pp. 4:1-4:15). Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.SEA.2020.4
    Project: Process Mapping (2019–2024)
  • Decomposing MPI Collectives for Exploiting Multi-lane Communication / Träff, J. L., & Hunold, S. (2020). Decomposing MPI Collectives for Exploiting Multi-lane Communication. In 2020 IEEE International Conference on Cluster Computing (CLUSTER). IEEE International Conference on Cluster Computing (IEEE Cluster 2020) - Online Conference, Kobe, Japan. IEEE. https://doi.org/10.1109/cluster49012.2020.00037
  • Signature Datatypes for Type Correct Collective Operations, Revisited / Träff, J. L. (2020). Signature Datatypes for Type Correct Collective Operations, Revisited. In 27th European MPI Users’ Group Meeting. 27th European MPI Users’ Group Meeting (EuroMPI/USA 2020) - Online Conference, Austin, United States of America (the). IEEE. https://doi.org/10.1145/3416315.3416324
  • Collectives and Communicators: A Case for Orthogonality / Träff, J. L., Hunold, S., Mercier, G., & Holmes, D. J. (2020). Collectives and Communicators: A Case for Orthogonality. In 27th European MPI Users’ Group Meeting. 27th European MPI Users’ Group Meeting (EuroMPI/USA 2020) - Online Conference, Austin, United States of America (the). IEEE. https://doi.org/10.1145/3416315.3416319
  • Efficient Process-to-Node Mapping Algorithms for Stencil Computations / von Kirchbach, K., Lehr, M., Hunold, S., Schulz, C., & Träff, J. L. (2020). Efficient Process-to-Node Mapping Algorithms for Stencil Computations. In 2020 IEEE International Conference on Cluster Computing (CLUSTER). IEEE International Conference on Cluster Computing (IEEE Cluster 2020) - Online Conference, Kobe, Japan. IEEE. https://doi.org/10.1109/cluster49012.2020.00011
    Project: Process Mapping (2019–2024)
  • Optimizing Memory Access in TCF Processors with Compute-Update Operations / Forsell, M., Roivainen, J., & Träff, J. L. (2020). Optimizing Memory Access in TCF Processors with Compute-Update Operations. In 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). 22nd Workshop on Advances in Parallel and Distributed Computational Models (APDCM 2020) in conjunction with IPDPS 2020 - Online Conference, New Orleans, United States of America (the). IEEE. https://doi.org/10.1109/ipdpsw50202.2020.00100
  • Classical and pipelined preconditioned conjugate gradient methods with node-failure resilience / Pachajoa, C., Levonyak, M., Pacher, C., Träff, J. L., & Gansterer, W. (2020). Classical and pipelined preconditioned conjugate gradient methods with node-failure resilience. In A. Schlögl, J. Kiss, & S. Elefante (Eds.), Austrian High-Performance-Computing Meeting (AHPC 2020) (p. 13). IST Austria. https://doi.org/10.15479/AT:ISTA:7474
  • A more Pragmatic Implementation of the Lock-free, Ordered, Linked List / Träff, J. L., & Pöter, M. (2020). A more Pragmatic Implementation of the Lock-free, Ordered, Linked List. arXiv. https://doi.org/10.48550/arXiv.2010.15755
  • Better Process Mapping and Sparse Quadratic Assignment / Kirchbach, K. V., Schulz, C., & Träff, J. L. (2020). Better Process Mapping and Sparse Quadratic Assignment. ACM Journal on Experimental Algorithmics, 25, 1–19. https://doi.org/10.1145/3409667
    Project: Process Mapping (2019–2024)
  • Exploiting Multi-lane Communication in MPI Collectives / Träff, J. L. (2020). Exploiting Multi-lane Communication in MPI Collectives. In A. Schlögl, J. Kiss, & S. Elefante (Eds.), Austrian High-Performance-Computing Meeting (AHPC 2020) (p. 30). IST Austria. https://doi.org/10.15479/AT:ISTA:7474

2019

2018

2017

2016

2015

  • The Shortest Path Problem with Edge Information Reuse is NP-Complete / Träff, J. L. (2015). The Shortest Path Problem with Edge Information Reuse is NP-Complete. arXiv. https://doi.org/10.48550/arXiv.1509.05637
  • Polynomial-time Construction of Optimal Tree-structured Communication Data Layout Descriptions / Ganian, R., Kalany, M., Szeider, S., & Träff, J. L. (2015). Polynomial-time Construction of Optimal Tree-structured Communication Data Layout Descriptions. arXiv. https://doi.org/10.48550/arXiv.1506.09100
  • The Lock-free k-LSM Relaxed Priority Queue / Wimmer, M., Gruber, J., Träff, J. L., & Tsigas, P. (2015). The Lock-free k-LSM Relaxed Priority Queue. arXiv. https://doi.org/10.48550/arXiv.1503.05698
  • The Power of Structured Data in MPI / Träff, J. L. (2015). The Power of Structured Data in MPI. The University of Texas at Austin, Prof. Robert A. van de Geijn, Austin, Texas, Non-EU. http://hdl.handle.net/20.500.12708/86053
  • MPI Datatype reconstruction (for vector and index types) / Träff, J. L. (2015). MPI Datatype reconstruction (for vector and index types). Compilers and Languages Group, Institute of Computer Languages, TU Wien, Vienna, Austria, Austria. http://hdl.handle.net/20.500.12708/86126
  • The Relative Power of Synchronization Primitives / Träff, J. L. (2015). The Relative Power of Synchronization Primitives. Computational Mathematics in Engineering Group - Prof. Dr. Joachim Schöberl, Institute for Analysis and Scientific Computing, TU Wien, Vienna, Austria, Austria. http://hdl.handle.net/20.500.12708/86043
  • Specification Guideline Violations by MPI_Dims_create / 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
    Project: MPI (2013–2018)
  • Isomorphic, Sparse MPI-like Collective Communication Operations for Parallel Stencil Computations / 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
    Projects: EPiGRAM (2013–2016) / MPI (2013–2018)
  • Efficient, Optimal MPI Datatype Reconstruction for Vector and Index Types / Kalany, M., & Träff, J. L. (2015). Efficient, Optimal MPI Datatype Reconstruction for Vector and Index Types. 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/10.1145/2802658.2802671
    Project: EPiGRAM (2013–2016)
  • The lock-free k-LSM relaxed priority queue / Wimmer, M., Gruber, J., Träff, J. L., & Tsigas, P. (2015). The lock-free k-LSM relaxed priority queue. In A. Cohen & D. Grove (Eds.), Proceedings of the 20th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming. ACM. https://doi.org/10.1145/2688500.2688547
  • Euro-Par 2015: Parallel Processing / Euro-Par 2015: Parallel Processing. (2015). In J. L. Träff, S. Hunold, & F. Versaci (Eds.), Lecture Notes in Computer Science. Springer-Verlag Berlin Heidelberg. https://doi.org/10.1007/978-3-662-48096-0

2014

  • Preface: Selected Papers from EuroMPI 2012 / Träff, J. L., & Benkner, S. (2014). Preface: Selected Papers from EuroMPI 2012. Computing, 96(4), 259–261. https://doi.org/10.1007/s00607-013-0335-z
  • An improved, easily computable combinatorial lower bound for weighted graph bipartitioning / Träff, J. L., & Wimmer, M. (2014). An improved, easily computable combinatorial lower bound for weighted graph bipartitioning. arXiv. https://doi.org/10.48550/arXiv.1410.0462
  • Perfectly Load-Balanced, Stable, Synchronization-Free Parallel Merge / Siebert, C., & Träff, J. L. (2014). Perfectly Load-Balanced, Stable, Synchronization-Free Parallel Merge. Parallel Processing Letters, 24(01), 1450005. https://doi.org/10.1142/s0129626414500054
  • Reproducible MPI Micro-Benchmarking Isn't As Easy As You Think / 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
    Projects: MPI (2013–2018) / ReproPC (2013–2016)
  • The Power of Structured Data in MPI / Träff, J. L. (2014). The Power of Structured Data in MPI. Compiler Technology and Computer Architecure Group at the University of Hertfordshire, Hertfordshire, United Kingdom, EU. http://hdl.handle.net/20.500.12708/85832
  • The Power of Structured Data in MPI / Träff, J. L. (2014). The Power of Structured Data in MPI. Research Group Theory and Applications of Algorithms and Research Group Scientific Computing, University of Vienna, Vienna, Austria, Austria. http://hdl.handle.net/20.500.12708/85825
  • The Power of Structured Data in MPI / 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
    Projects: EPiGRAM (2013–2016) / MPI (2013–2018)
  • Implementing a classic: zero-copy all-to-all communication with MPI datatypes / Träff, J. L. (2014). Implementing a classic: zero-copy all-to-all communication with MPI datatypes. Department of Computer Science, University of Copenhagen, Copenhagen, Denmark, EU. http://hdl.handle.net/20.500.12708/85783
  • Reproducible MPI Micro-Benchmarking Isn't As Easy As You Think / 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
    Projects: MPI (2013–2018) / ReproPC (2013–2016)
  • Optimal MPI Datatype Normalization for Vector and Index-block Types / Träff, J. L. (2014). Optimal MPI Datatype Normalization for Vector and Index-block Types. In J. Dongarra, Y. Ishikawa, & A. Hori (Eds.), Proceedings of the 21st European MPI Users’ Group Meeting. ACM. https://doi.org/10.1145/2642769.2642771
    Project: EPiGRAM (2013–2016)
  • Zero-copy, Hierarchical Gather is not possible with MPI Datatypes and Collectives / Träff, J. L., & Rougier, A. (2014). Zero-copy, Hierarchical Gather is not possible with MPI Datatypes and Collectives. In J. Dongarra, Y. Ishikawa, & A. Hori (Eds.), Proceedings of the 21st European MPI Users’ Group Meeting. ACM. https://doi.org/10.1145/2642769.2642772
  • MPI Collectives and Datatypes for Hierarchical All-to-all Communication / Träff, J. L., & Rougier, A. (2014). MPI Collectives and Datatypes for Hierarchical All-to-all Communication. In J. Dongarra, Y. Ishikawa, & A. Hori (Eds.), Proceedings of the 21st European MPI Users’ Group Meeting. ACM. https://doi.org/10.1145/2642769.2642770
  • Implementing a classic / Träff, J. L., Rougier, A., & Hunold, S. (2014). Implementing a classic. In M. Gerndt, P. Stenström, L. Rauchwerger, B. Miller, & M. Schulz (Eds.), Proceedings of the 28th ACM international conference on Supercomputing - ICS ’14. ACM. https://doi.org/10.1145/2597652.2597662
  • Data structures for task-based priority scheduling / Wimmer, M., Versaci, F., Träff, J. L., Cederman, D., & Tsigas, P. (2014). Data structures for task-based priority scheduling. In Proceedings of the 19th ACM SIGPLAN symposium on Principles and practice of parallel programming - PPoPP ’14. 19th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPoPP 2014, Orlando, Florida, USA, Non-EU. ACM. https://doi.org/10.1145/2555243.2555278

2013

2012

2011

 

  • Innovation Radar: Innovation Title: PGAS-based MPI with interoperability; Innovation Category: Exploration; FP 7 project EPiGRAM
    2018 / Project
  • Best Paper Award: "Reproducible MPI Micro-Benchmarking Isn't As Easy As You Think", S. Hunold, A. Carpen-Amarie, J. Träff, 21st European MPI Users' Group Meeting, EuroMPI/ASIA 2014, Kyoto, Japan, September 9-12, 2014
    2014 / Program Chairs of EuroMPI/ASIA 2014 / Japan

Soon, this page will include additional information such as reference projects, activities as journal reviewer and editor, memberships in councils and committees, and other research activities.

Until then, please visit Jesper Larsson Träff’s research profile in TISS .