Prof. Dr. Andreas Kipf Adresse: Technische Universität München Institut für Informatik – Lehrstuhl III (I3) Boltzmannstr. 3 85748 Garching Raum: Extern E-Mail: kipf@in.tum.de Bürozeit: Termine nach Vereinbarung

Forschungsgebiete

• HyPer: A Hybrid OLTP&OLAP High-Performance Database System
• Efficient index structures
• Machine learning for systems

Auszeichnungen

• Winner of the 2017 ACM SIGMOD Programming Contest
  Team OZero with Jan Böttcher, Timo Kersten, and Moritz Kaufmann
• 2016 ACM SIGMOD Best Demonstration Award
• Software Campus Fellow

Publikationen (Google Scholar, DBLP)

• Philipp Fent*, Michael Jungmair*, Andreas Kipf, Thomas Neumann START – Self-Tuning Adaptive Radix Tree 11th International Workshop on Self-Managing Database Systems (SMDB 2020) April 20, 2020, Dallas, TX, USA *equal contribution
• Philipp Fent, Alexander van Renen, Andreas Kipf, Viktor Leis, Thomas Neumann, Alfons Kemper Low-Latency Communication for Fast DBMS Using RDMA and Shared Memory 36th IEEE International Conference on Data Engineering (ICDE 2020) April 20 - 24, 2020, Dallas, TX, USA
• Christoph Anneser, Andreas Kipf, Harald Lang, Thomas Neumann, Alfons Kemper The Case for Hybrid Succinct Data Structures 23rd International Conference on Extending Database Technology (EDBT 2020) March 30 - April 2, 2020, Copenhagen, Denmark
• Andreas Kipf, Harald Lang, Varun Pandey, Raul Alexandru Persa, Christoph Anneser, Eleni Tzirita Zacharatou, Harish Doraiswamy, Peter Boncz, Thomas Neumann, Alfons Kemper Adaptive Main-Memory Indexing for High-Performance Point-Polygon Joins 23rd International Conference on Extending Database Technology (EDBT 2020) March 30 - April 2, 2020, Copenhagen, Denmark
• Andreas Kipf*, Ryan Marcus*, Alexander van Renen*, Mihail Stoian, Alfons Kemper, Tim Kraska, Thomas Neumann SOSD: A Benchmark for Learned Indexes NeurIPS Workshop on Machine Learning for Systems (ML For Systems 2019) December 14, 2019, Vancouver, Canada Code and datasets are available from here *equal contribution
• Dimitri Vorona, Andreas Kipf, Thomas Neumann, Alfons Kemper DeepSPACE: Approximate Geospatial Query Processing with Deep Learning 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL 2019) November 5 - 8, 2019, Chicago, IL, USA
• Andreas Kipf, Michael Freitag, Dimitri Vorona, Peter Boncz, Thomas Neumann, Alfons Kemper Estimating Filtered Group-By Queries is Hard: Deep Learning to the Rescue VLDB Workshop on Applied AI for Database Systems and Applications (AIDB 2019) August 26, 2019, Los Angeles, CA, USA
• Harald Lang, Linnea Passing, Andreas Kipf, Peter Boncz, Thomas Neumann, Alfons Kemper Make the Most out of Your SIMD Investments: Counter Control Flow Divergence in Compiled Query Pipelines (Extended Version) The VLDB Journal (VLDBJ)
• Andreas Kipf, Dimitri Vorona, Jonas Müller, Thomas Kipf, Bernhard Radke, Viktor Leis, Peter Boncz, Thomas Neumann, Alfons Kemper Estimating Cardinalities with Deep Sketches (Demonstration) ACM SIGMOD International Conference on Management of Data (SIGMOD 2019) June 30 - July 5, 2019, Amsterdam, The Netherlands
• Andreas Kipf, Thomas Kipf, Bernhard Radke, Viktor Leis, Peter Boncz, Alfons Kemper Learned Cardinalities: Estimating Correlated Joins with Deep Learning 9th Biennial Conference on Innovative Data Systems Research (CIDR 2019) January 13 - 16, 2019, Asilomar, CA, USA Code and workloads are available on GitHub
• Andreas Kipf, Varun Pandey, Jan Böttcher, Lucas Braun, Thomas Neumann, Alfons Kemper Scalable Analytics on Fast Data ACM Transactions on Database Systems (TODS)
• Varun Pandey, Andreas Kipf, Thomas Neumann, Alfons Kemper How Good Are Modern Spatial Analytics Systems? 44th International Conference on Very Large Data Bases (VLDB 2018) August 27 - 31, 2018, Rio de Janeiro, Brazil
• Harald Lang, Andreas Kipf, Linnea Passing, Peter Boncz, Thomas Neumann, Alfons Kemper Make the Most out of Your SIMD Investments: Counter Control Flow Divergence in Compiled Query Pipelines International Workshop on Data Management on New Hardware (DaMoN 2018) June 11, 2018, Houston, TX, USA
• Andreas Kipf, Harald Lang, Varun Pandey, Raul Alexandru Persa, Peter Boncz, Thomas Neumann, Alfons Kemper Approximate Geospatial Joins with Precision Guarantees 34th IEEE International Conference on Data Engineering (ICDE 2018) April 16 - 19, 2018, Paris, France
• Andreas Kipf A Main-Memory Database for Future Connected Mobility Workloads (Presentation) 17th International Workshop on High Performance Transaction Systems (HPTS 2017) October 8 - 11, 2017, Pacific Grove, CA, USA
• Andreas Kipf, Varun Pandey, Jan Böttcher, Lucas Braun, Thomas Neumann, Alfons Kemper Analytics on Fast Data: Main-Memory Database Systems versus Modern Streaming Systems 20th International Conference on Extending Database Technology (EDBT 2017) March 21 - 24, 2017, Venice, Italy
• Varun Pandey, Andreas Kipf, Dimitri Vorona, Tobias Mühlbauer, Thomas Neumann, Alfons Kemper High-Performance Geospatial Analytics in HyPerSpace (Demonstration) ACM SIGMOD International Conference on Management of Data (SIGMOD 2016) June 26 - July 1, 2016, San Francisco, CA, USA
• Tobias Mühlbauer, Wolf Rödiger, Andreas Kipf, Alfons Kemper, Thomas Neumann High-Performance Main-Memory Database Systems and Modern Virtualization: Friends or Foes? ACM SIGMOD Workshop on Data Analytics in the Cloud (DanaC 2015) May 31 - June 5, 2015, Melbourne, Australia

Lehre

Winter 2019/2020:	Datenbanksysteme, Elite Graduate Program "Software Engineering"
Winter 2018/2019:	Datenbanksysteme, Elite Graduate Program "Software Engineering"
Winter 2017/2018:	Datenbanksysteme, Elite Graduate Program "Software Engineering"
Winter 2016/2017:	Datenbanksysteme, Elite Graduate Program "Software Engineering"
Winter 2015/2016:	Datenbanksysteme, Elite Graduate Program "Software Engineering"
Summer 2015:	Database Systems on Modern CPU Architectures