Andreas Kipf

According to our database, Andreas Kipf authored at least 55 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

DataLoom: Simplifying Data Loading with LLMs.

Alexander van Renen, Mihail Stoian, Andreas Kipf

Proc. VLDB Endow., August, 2024

Why TPC Is Not Enough: An Analysis of the Amazon Redshift Fleet.

Alexander van Renen, Dominik Horn, Pascal Pfeil, Kapil Vaidya, Wenjian Dong, Murali Narayanaswamy, Zhengchun Liu, Gaurav Saxena, Andreas Kipf, Tim Kraska

Proc. VLDB Endow., July, 2024

Lightweight Correlation-Aware Table Compression.

Mihail Stoian, Alexander van Renen, Jan Kobiolka, Ping-Lin Kuo, Josif Grabocka, Andreas Kipf

CoRR, 2024

DPconv: Super-Polynomially Faster Join Ordering.

Mihail Stoian, Andreas Kipf

CoRR, 2024

Corra: Correlation-Aware Column Compression.

Hanwen Liu, Mihail Stoian, Alexander van Renen, Andreas Kipf

Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024

Predicate Caching: Query-Driven Secondary Indexing for Cloud Data Warehouses.

Tobias Schmidt, Andreas Kipf, Dominik Horn, Gaurav Saxena, Tim Kraska

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

Intelligent Scaling in Amazon Redshift.

Vikram Nathan, Vikramank Y. Singh, Zhengchun Liu, Mohammad Rahman, Andreas Kipf, Dominik Horn, Davide Pagano, Gaurav Saxena, Balakrishnan Narayanaswamy, Tim Kraska

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

Forecasting Algorithms for Intelligent Resource Scaling: An Experimental Analysis.

Yanlei Diao, Dominik Horn, Andreas Kipf, Oleksandr Shchur, Ines Benito, Wenjian Dong, Davide Pagano, Pascal Pfeil, Vikram Nathan, Balakrishnan Narayanaswamy, Tim Kraska

Proceedings of the 2024 ACM Symposium on Cloud Computing, 2024

2023

Technical Perspective: Revisiting Runtime Dynamic Optimization for Join Queries in Big Data Management Systems.

Andreas Kipf

SIGMOD Rec., 2023

Robust Query Driven Cardinality Estimation under Changing Workloads.

Parimarjan Negi, Ziniu Wu, Andreas Kipf, Nesime Tatbul, Ryan Marcus, Sam Madden, Tim Kraska, Mohammad Alizadeh

Proc. VLDB Endow., 2023

Enhancing In-Memory Spatial Indexing with Learned Search.

Varun Pandey, Alexander van Renen, Eleni Tzirita Zacharatou, Andreas Kipf, Ibrahim Sabek, Jialin Ding, Volker Markl, Alfons Kemper

CoRR, 2023

CorBit: Leveraging Correlations for Compressing Bitmap Indexes.

Xi Lyu, Andreas Kipf, Pascal Pfeil, Dominik Horn, Jana Giceva, Tim Kraska

Proceedings of the Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28, 2023

Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM).

Rajesh Bordawekar, Oded Shmueli, Yael Amsterdamer, Donatella Firmani, Andreas Kipf

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

A Tutorial Workshop on ML for Systems and Systems for ML.

Manisha Luthra, Andreas Kipf, Matthias Böhm

Proceedings of the Datenbanksysteme für Business, 2023

2022

TreeLine: An Update-In-Place Key-Value Store for Modern Storage.

Geoffrey X. Yu, Markos Markakis, Andreas Kipf, Per-Åke Larson, Umar Farooq Minhas, Tim Kraska

Proc. VLDB Endow., 2022

Can Learned Models Replace Hash Functions?

Ibrahim Sabek, Kapil Vaidya, Dominik Horn, Andreas Kipf, Michael Mitzenmacher, Tim Kraska

Proc. VLDB Endow., 2022

SageDB: An Instance-Optimized Data Analytics System.

Jialin Ding, Ryan Marcus, Andreas Kipf, Vikram Nathan, Aniruddha Nrusimha, Kapil Vaidya, Alexander van Renen, Tim Kraska

Proc. VLDB Endow., 2022

LSI: a learned secondary index structure.

Andreas Kipf, Dominik Horn, Pascal Pfeil, Ryan Marcus, Tim Kraska

Proceedings of the aiDM '22: Proceedings of the Fifth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, 2022

Adaptive Hybrid Indexes.

Christoph Anneser, Andreas Kipf, Huanchen Zhang, Thomas Neumann, Alfons Kemper

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

2021

Flow-Loss: Learning Cardinality Estimates That Matter.

Parimarjan Negi, Ryan Marcus, Andreas Kipf, Hongzi Mao, Nesime Tatbul, Tim Kraska, Mohammad Alizadeh

Proc. VLDB Endow., 2021

How Good Are Modern Spatial Libraries?

Varun Pandey, Alexander van Renen, Andreas Kipf, Alfons Kemper

Data Sci. Eng., 2021

Bounding the Last Mile: Efficient Learned String Indexing.

Benjamin Spector, Andreas Kipf, Kapil Vaidya, Chi Wang, Umar Farooq Minhas, Tim Kraska

CoRR, 2021

PLEX: Towards Practical Learned Indexing.

Mihail Stoian, Andreas Kipf, Ryan Marcus, Tim Kraska

CoRR, 2021

When Are Learned Models Better Than Hash Functions?

Ibrahim Sabek, Kapil Vaidya, Dominik Horn, Andreas Kipf, Tim Kraska

CoRR, 2021

LEA: A Learned Encoding Advisor for Column Stores.

Lujing Cen, Andreas Kipf, Ryan Marcus, Tim Kraska

Proceedings of the aiDM '21: Fourth Workshop in Exploiting AI Techniques for Data Management, 2021

Towards a Benchmark for Learned Systems.

Laurent Bindschaedler, Andreas Kipf, Tim Kraska, Ryan Marcus, Umar Farooq Minhas

Proceedings of the 37th IEEE International Conference on Data Engineering Workshops, 2021

GeoBlocks: A Query-Cache Accelerated Data Structure for Spatial Aggregation over Polygons.

Christian Winter, Andreas Kipf, Christoph Anneser, Eleni Tzirita Zacharatou, Thomas Neumann, Alfons Kemper

Proceedings of the 24th International Conference on Extending Database Technology, 2021

The Case for Distance-Bounded Spatial Approximations.

Eleni Tzirita Zacharatou, Andreas Kipf, Ibrahim Sabek, Varun Pandey, Harish Doraiswamy, Volker Markl

Proceedings of the 11th Conference on Innovative Data Systems Research, 2021

2020

Advancing Analytical Database Systems.

Andreas Kipf

PhD thesis, 2020

Make the most out of your SIMD investments: counter control flow divergence in compiled query pipelines.

Harald Lang, Linnea Passing, Andreas Kipf, Peter A. Boncz, Thomas Neumann, Alfons Kemper

VLDB J., 2020

Benchmarking Learned Indexes.

Ryan Marcus, Andreas Kipf, Alexander van Renen, Mihail Stoian, Sanchit Misra, Alfons Kemper, Thomas Neumann, Tim Kraska

Proc. VLDB Endow., 2020

Cuckoo Index: A Lightweight Secondary Index Structure.

Andreas Kipf, Damian Chromejko, Alexander Hall, Peter A. Boncz, David G. Andersen

Proc. VLDB Endow., 2020

Fast Mapping onto Census Blocks.

Jeremy Kepner, Darren Engwirda, Vijay Gadepally, Chris Hill, Tim Kraska, Michael Jones, Andreas Kipf, Lauren Milechin, Navin Vembar

CoRR, 2020

The Case for Learned Spatial Indexes.

Varun Pandey, Alexander van Renen, Andreas Kipf, Jialin Ding, Ibrahim Sabek, Alfons Kemper

Proceedings of the AIDB@VLDB 2020, 2020

RadixSpline: a single-pass learned index.

Andreas Kipf, Ryan Marcus, Alexander van Renen, Mihail Stoian, Alfons Kemper, Tim Kraska, Thomas Neumann

Proceedings of the Third International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, 2020

Low-Latency Communication for Fast DBMS Using RDMA and Shared Memory.

Philipp Fent, Alexander van Renen, Andreas Kipf, Viktor Leis, Thomas Neumann, Alfons Kemper

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

START - Self-Tuning Adaptive Radix Tree.

Philipp Fent, Michael Jungmair, Andreas Kipf, Thomas Neumann

Proceedings of the 36th IEEE International Conference on Data Engineering Workshops, 2020

Fast Mapping onto Census Blocks.

Jeremy Kepner, Andreas Kipf, Darren Engwirda, Navin Vembar, Michael Jones, Lauren Milechin, Vijay Gadepally, Chris Hill, Tim Kraska, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Andrew C. Kirby, Anna Klein, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Sid Samsi, Charles Yee, Peter Michaleas

Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

Adaptive Main-Memory Indexing for High-Performance Point-Polygon Joins.

Andreas Kipf, Harald Lang, Varun Pandey, Raul Alexandru Persa, Christoph Anneser, Eleni Tzirita Zacharatou, Harish Doraiswamy, Peter A. Boncz, Thomas Neumann, Alfons Kemper

Proceedings of the 23rd International Conference on Extending Database Technology, 2020

The Case for Hybrid Succinct Data Structures.

Christoph Anneser, Andreas Kipf, Harald Lang, Thomas Neumann, Alfons Kemper

Proceedings of the 23rd International Conference on Extending Database Technology, 2020

An Evaluation of Modern Spatial Libraries.

Varun Pandey, Alexander van Renen, Andreas Kipf, Alfons Kemper

Proceedings of the Database Systems for Advanced Applications, 2020

2019

Scalable Analytics on Fast Data.

Andreas Kipf, Varun Pandey, Jan Böttcher, Lucas Braun, Thomas Neumann, Alfons Kemper

ACM Trans. Database Syst., 2019

SOSD: A Benchmark for Learned Indexes.

Andreas Kipf, Ryan Marcus, Alexander van Renen, Mihail Stoian, Alfons Kemper, Tim Kraska, Thomas Neumann

CoRR, 2019

GeoBlocks: A Query-Driven Storage Layout for Geospatial Data.

Christian Winter, Andreas Kipf, Thomas Neumann, Alfons Kemper

CoRR, 2019

Estimating Cardinalities with Deep Sketches.

Andreas Kipf, Dimitri Vorona, Jonas Müller, Thomas Kipf, Bernhard Radke, Viktor Leis, Peter A. Boncz, Thomas Neumann, Alfons Kemper

Proceedings of the 2019 International Conference on Management of Data, 2019

DeepSPACE: Approximate Geospatial Query Processing with Deep Learning.

Dimitri Vorona, Andreas Kipf, Thomas Neumann, Alfons Kemper

Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

Learned Cardinalities: Estimating Correlated Joins with Deep Learning.

Andreas Kipf, Thomas Kipf, Bernhard Radke, Viktor Leis, Peter A. Boncz, Alfons Kemper

Proceedings of the 9th Biennial Conference on Innovative Data Systems Research, 2019

2018

How Good Are Modern Spatial Analytics Systems?

Varun Pandey, Andreas Kipf, Thomas Neumann, Alfons Kemper

Proc. VLDB Endow., 2018

Adaptive Geospatial Joins for Modern Hardware.

Andreas Kipf, Harald Lang, Varun Pandey, Raul Alexandru Persa, Peter A. Boncz, Thomas Neumann, Alfons Kemper

CoRR, 2018

Approximate Geospatial Joins with Precision Guarantees.

Andreas Kipf, Harald Lang, Varun Pandey, Raul Alexandru Persa, Peter A. Boncz, Thomas Neumann, Alfons Kemper

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017

Informatikforschung für digitale Mobilitätsplattformen - Am Beispiel des TUM Living Lab Connected Mobility.

Sasan Amini, Kristian Beckers, Markus Böhm, Fritz Busch, Nihan Celikkaya, Vittorio Cozzolino, Anne Faber, Michael Haus, Dominik Huth, Alfons Kemper, Andreas Kipf, Helmut Krcmar, Florian Matthes, Jörg Ott, Christian Prehofer, Alexander Pretschner, Ömer Uludag, Wolfgang Wörndl

Inform. Spektrum, 2017

Analytics on Fast Data: Main-Memory Database Systems versus Modern Streaming Systems.

Andreas Kipf, Varun Pandey, Jan Böttcher, Lucas Braun, Thomas Neumann, Alfons Kemper

Proceedings of the 20th International Conference on Extending Database Technology, 2017

Informatik-Forschung für digitale Mobilitätsplattformen.

Sasan Amini, Kristian Beckers, Markus Böhm, Fritz Busch, Nihan Celikkaya, Vittorio Cozzolino, Anne Faber, Michael Haus, Dominik Huth, Alfons Kemper, Andreas Kipf, Helmut Krcmar, Florian Matthes, Jörg Ott, Christian Prehofer, Alexander Pretschner, Ömer Uludag, Wolfgang Wörndl

Proceedings of the 50 Jahre Universitäts-Informatik in München, 2017

2016

High-Performance Geospatial Analytics in HyPerSpace.

Varun Pandey, Andreas Kipf, Dimitri Vorona, Tobias Mühlbauer, Thomas Neumann, Alfons Kemper

Proceedings of the 2016 International Conference on Management of Data, 2016

2015

High-Performance Main-Memory Database Systems and Modern Virtualization: Friends or Foes?

Tobias Mühlbauer, Wolf Rödiger, Andreas Kipf, Alfons Kemper, Thomas Neumann

Proceedings of the Fourth Workshop on Data analytics in the Cloud, 2015