Hasso-Plattner-Institut
Prof. Dr. Tilmann Rabl
 

Publications

We try to keep an up to date list of all our publications. If you are interested in a PDF that we have not uploaded yet, feel free to send us an email to get a copy. All recent publications you will find below. For older, please click appropriate year.

Publications of the years 20222021, 2020, 2019, 2018, 20172016, 2015, 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007

2022

  • Imperative or Functional ... - Download
    1.
    Gévay, G.E., Rabl, T., Breß, S., Madai-Tahy, L., Quiané-Ruiz, J.-A., Markl, V.: Imperative or Functional Control Flow Handling: Why not the Best of Both Worlds?. ACM SIGMOD Record. 51, 1–8 (2022).
     
  • Efficiently Managing Deep... - Download
    2.
    Strassenburg, N., Tolovski, I., Rabl, T.: Efficiently Managing Deep Learning Models in a Distributed Environment. 25th International Conference on Extending Database Technology (EDBT ’22) (2022).
     
  • Evaluating In-Memory Hash... - Download
    3.
    Maltenberger, T., Lehmann, T., Benson, L., Rabl, T.: Evaluating In-Memory Hash-Joins on Persistent Memory. 25th International Conference on Extending Database Technology (EDBT ’22) (2022).
     
  • Triton Join: Efficiently ... - Download
    4.
    Lutz, C., Breß, S., Zeuch, S., Rabl, T., Markl, V.: Triton Join: Efficiently Scaling the Operator State on GPUs with Fast Interconnects. ACM SIGMOD International Conference on Management of Data (SIGMOD ’22) (2022).
     
  • Rethinking Stateful Strea... - Download
    5.
    Del Monte, B., Zeuch, S., Rabl, T., Markl, V.: Rethinking Stateful Stream Processing with RDMA. ACM SIGMOD International Conference on Management of Data (SIGMOD ’22) (2022).
     
  • Evaluating Multi-GPU Sort... - Download
    6.
    Maltenberger, T., Ilic, I., Tolovski, I., Rabl, T.: Evaluating Multi-GPU Sorting with Modern Interconnects. 2022 ACM SIGMOD International Conference on Management of Data (SIGMOD ’22) (2022).
     
  • DAPHNE: An Open and Exten... - Download
    7.
    Damme, P., Birkenbach, M., Bitsakos, C., Boehm, M., Bonnet, P., Ciorba, F., Dokter, M., Dowgiallo, P., Eleliemy, A., Faerber, C., Goumas, G., Habich, D., Hedam, N., Hofer, M., Huang, W., Innerebner, K., Karakostas, V., Kern, R., Kosar, T., Krause, A., Krems, D., Laber, A., Lehner, W., Mier, E., Rabl, T., Ratuszniak, P., Silva, P., Skuppin, N., Starzacher, A., Steinwender, B., Tolovski, I., Tözün, P., Ulatowski, W., Wang, Y., Wrosz, I., Zamuda, A., Zhang, C., Xiang Zhu, X.: DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines. 12th Annual Conference on Innovative Data Systems Research (CIDR ’22) (2022).
     
  • Darwin: Scale-In Stream P... - Download
    8.
    Benson, L., Rabl, T.: Darwin: Scale-In Stream Processing. 12th Annual Conference on Innovative Data Systems Research (CIDR ’22) (2022).