Lukas Vogel, Alexander van Renen, Satoshi Imamura, Jana Giceva, Thomas Neumann, and Alfons Kemper: Plush: A Write-Optimized Persistent Log-Structured Hash-Table. PVLDB, 15(11): 2895-2907, 2022. doi:10.14778/3551793.3551839
Muhammad Attahir Jibril, Philipp Götze, David Broneske, Kai-Uwe Sattler: Selective caching: a persistent memory approach for multi-dimensional index structures. Distributed Parallel Databases 40(1): 47-66 (2022)
Muhammad Attahir Jibril, Alexander Baumstark, Kai-Uwe Sattler: Adaptive Update Handling for Graph HTAP, In: 2022 IEEE 38th Int. Conf. on Data Engineering Workshops (ICDEW), 2022. pp. 16-23.
Robert Lasch, Mehdi Moghaddamfar, Norman May, Süleyman Sirri Demirsoy, Christian Färber, Kai-Uwe Sattler: Bandwidth-optimal Relational Joins on FPGAs. EDBT 2022: 1:27-1:39
Tobias Hahn, Stefan Wildermann and Jürgen Teich. Auto-Tuning of Raw Filters for FPGAs. FPL’22, Belfast, United Kingdom, 2022
Tobias Hahn, Andreas Becher, Stefan Wildermann and Jürgen Teich. Raw Filtering of JSON data on FPGAs. DATE’22, Antwerp, Belgium, 2022
Philipp M. Grulich, Steffen Zeuch, Volker Markl. Babelfish: Efficient Execution of Polyglot Queries, VLDB’22, 2022
2021
Alexander Kumaigorodski, Clemens Lutz, Volker Markl. Fast CSV Loading Using GPUs and RDMA for In-Memory Data Processing. BTW’21, Dresden, Germany, 2021
Michael Körber, Nikolaus Glombiewski, Bernhard Seeger. Index-Accelerated Pattern Matching in Event Stores. SIGMOD’21, Online, 2021
Jan Mühlig and Jens Teubner. MxTasks: How to Make Efficient Synchronization and Prefetching Easy. SIGMOD’21, Online, 2021
Lasse Thostrup, Jan Skrzypczak, Matthias Jasny, Tobias Ziegler, Carsten Binnig. DFI: The Data Flow Interface for High-Speed Networks. SIGMOD’21, Online, 2021
Adrian Michalke, Philipp M. Grulich, Clemens Lutz, Steffen Zeuch, Volker Markl. An Energy-Efficient Stream Join for the Internet of Things, 17th International Workshop on Data Management on New Hardware, DaMoN @ SIGMOD, Online, 2021
Alexander Baumstark, Muhammad Attahir Jibril, Philipp Götze, Kai-Uwe Sattler. Instant Graph Query Recovery on Persistent Memory. 17th International Workshop on Data Management on New Hardware, DaMoN @ SIGMOD, Online, 2021
Robert Lasch, Robert Schulze, Thomas Legler, Kai-Uwe Sattler: Workload-Driven Placement of Column-Store Data Structures on DRAM and NVM. DaMoN 2021: 5:1-5:8
Lekshmi Beena Gopalakrishnan Nair, Andreas Becher, Stefan Wildermann, Klaus Meyer-Wegener, and Jürgen Teich. Speculative Dynamic Reconfiguration and Table Prefetching Using Query Look-Ahead in the ReProVide Near-Data-Processing System. Datenbank-Spektrum 21, no. 1: 55-64, 2021
Lekshmi Beena Gopalakrishnan Nair, and Klaus Meyer-Wegener. COPRAO: A Capability Aware Query Optimizer for Reconfigurable Near Data Processors. In Proceedings of the International Workshop on Big Data Management on Emerging Hardware (HardBD), April 2021
Harish Kumar Harihara Subramanian, Bala Gurumurthy, Gabriel Campero Durand, David Broneske, and Gunter Saake. Analysis of GPU-Libraries for rapid Prototyping Database Operations. In Proceedings of the International Workshop on Big Data Management on Emerging Hardware (HardBD), April 2021
Bala Gurumurthy, David Broneske, Martin Schäler, Thilo Pionteck, and Gunter Saake. An Investigation of Atomic Synchronization for Sort-Based Group-By Aggregation on GPUs. In Proceedings of the International Workshop on Big Data Management on Emerging Hardware (HardBD), April 2021
Alexander Baumstark, Muhammad Attahir Jibril, Kai-Uwe Sattler. Adaptive Query Compilation in Graph Databases. In Self-Managing Database Systems (SMDB), April 2021.
Muhammad Attahir Jibril, Alexander Baumstark, Philipp Götze, Kai-Uwe Sattler. JIT happens: Transactional Graph Processing in Persistent Memory meets Just-In-Time Compilation. 24th International Conference on Extending Database Technology (EDBT), March 2021.
Muhammad Attahir Jibril, Philipp Götze, David Broneske, Kai-Uwe Sattler. Selective Caching: A Persistent Memory Approach for Multi-Dimensional Index Structures. Distributed and Parallel Databases (DAPD), 2021.
2020
Paul Blockhaus, David Broneske, Martin Schäler, Veit Köppen, and Gunter Saake. Combining Two Worlds: MonetDB with Multi-Dimensional Index Structure Support to Efficiently Query Scientific Data. In Proceedings of the 32nd International Conference on Scientific and Statistical Database Management (SSDBM), Vienna, Austria, 2020.
Philipp M. Grulich, Breß Sebastian, Steffen Zeuch, Jonas Traub, Janis von Bleichert, Zongxiong Chen, Tilmann Rabl, Volker Markl. Grizzly: Efficient Stream Processing Through Adaptive Query Compilation. SIGMOD ’20, New York, NY, USA, 2020.
Clemens Lutz, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, Volker Markl. Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects. SIGMOD ’20, New York, NY, USA, 2020
Harald Lang, Alexander Beischl, Viktor Leis, Peter Boncz, Thomas Neumann, and Alfons Kemper: Tree-Encoded Bitmaps. SIGMOD ’20, New York, NY, USA, 2020.
Mahmoud Mohsen, Norman May, Christian Färber, and David Broneske. 2020. FPGA-Accelerated compression of integer vectors. 16th International Workshop on Data Management on New Hardware, DaMoN @ SIGMOD, Portland, OR, USA, 2020.
Henning Funke, Jan Mühlig, Jens Teubner: Efficient Generation of Machine Code for Query Compilers. 16th International Workshop on Data Management on New Hardware, DaMoN @ SIGMOD, Portland, OR, USA, 2020
Lekshmi B. G. Nair, Andreas Becher, Klaus Meyer-Wegener: The ReProVide Query-Sequence Optimization in a Hardware-Accelerated DBMS. 16th International Workshop on Data Management on New Hardware, DaMoN @ SIGMOD, Portland, OR, USA, 2020
Philipp Götze, Arun Kumar Tharanatha, Kai-Uwe Sattler: Data Structure Primitives on Persistent Memory: An Evaluation. 16th International Workshop on Data Management on New Hardware, DaMoN @ SIGMOD, Portland, OR, USA, 2020
Muhammad Attahir Jibril, Philipp Götze, David Broneske, Kai-Uwe Sattler: Selective Caching: A Persistent Memory Approach for Multi-Dimensional Index Structures, Joint Int. Workshop on Big Data Management on Emerging Hardware and Data Management on Virtualized Active Systems (HardBD & Active), Dallas, TX, 2020.
L. Beena Gopalakrishnan Nair, A. Becher, K. Meyer-Wegener, S. Wildermann, J. Teich: SQL Query Processing Using an Integrated FPGA-based Near-Data Accelerator in ReProVide, 23rd International Conference on Extending Database Technology EDBT (Copenhagen, 30. März 2020 – 2. April 2020)
J. Skrzypczak, F. Schintke and T. Schütt, RMWPaxos: Fault-Tolerant In-Place Consensus Sequences, IEEE Transactions on Parallel and Distributed Systems, 2020
M. Müller, T. Leich, T. Pionteck, G. Saake, J. Teubner, and O. Spinczyk. He..ro DB: A Concept for Parallel Data Processing on Heterogeneous Hardware. In Proceedings of the 33th International Conference on Architecture of Computing Systems (ARCS ’20), 2020.
Constantin Pohl, Kai-Uwe Sattler, Goetz Graefe: Joins on high-bandwidth memory: a new level in the memory hierarchy. VLDB J. 29(2): 797-817 (2020)
Matthias Jasny, Tobias Ziegler, Tim Kraska, Uwe Roehm and Carsten Binnig: DB4ML – An In-Memory Database Kernel with ML Support, SIGMOD 2020
Erfan Zamanian, Julian Shu, Carsten Binnig and Tim Kraska: Chiller: Contention-centric Transaction Execution and Data Partitioning for Fast Networks, SIGMOD 2020
Philipp Götze, Arun Kumar Tharanatha, Kai-Uwe Sattler: Data Structure Primitives on Persistent Memory: An Evaluation. CoRR abs/2001.02172 (2020)
2019
A. Becher, A. Herrmann, S. Wildermann, J. Teich: ReProVide: Towards Utilizing Heterogeneous Partially Reconfigurable Architectures for Near-Memory Data Processing, 1st Workshop on Novel Data Management Ideas on Heterogeneous (Co-)Processors (NoDMC) at 18. Fachtagung für “Datenbanksysteme für Business, Technologie und Web” (Universität Rostock, 4. März 2019 – 8. März 2019)
P. Plagwitz, FJ. Streit, A. Becher, S. Wildermann, J. Teich: Compiler-Based High-Level Synthesis of Application-Specific Processors on FPGAs, 2019 International Conference on ReConFigurable Computing and FPGAs (ReConFig) (Cancún, Mexico, 9. Dezember 2019 – 11. Dezember 2019)
A. Becher, J. Teich: In situ Statistics Generation within partially reconfigurable Hardware Accelerators for Query Processing, 15th International Workshop on Data Management on New Hardware (DaMoN), Held with ACM SIGMOD/PODS 2019 (Amsterdam, 1. Juli 2019 – 1. Juli 2019)
H. Borghorst, M. Müller, and O. Spinczyk. More or less? A discussion about the abstraction level of future operating systems. In Proceedings of the 1st International Workshop on Next-Generation Operating Systems for Cyber-Physical Systems (NGOSCPS 2019), 2019.
H. Borghorst and O. Spinczyk. Operating systems for many-core systems. IET Professional Applications of Computing. Institution of Engineering and Technology, 2019.
A. Lochmann, H. Schirmeier, H. Borghorst, and O. Spinczyk. LockDoc: Trace-based analysis of locking in the Linux kernel. In Proceedings of the 14th ACM SIGOPS/EuroSys European Conference on Computer Systems (EuroSys ’19’), New York, NY, USA, Mar. 2019. ACM Press.
M. Müller and O. Spinczyk. MxKernel: Rethinking Operating System Architecture for Many-core Hardware. In 9th Workshop on Systems for Multi-core and Heterogenous Architectures, Dresden, Germany, Mar. 2019 S. Noll, N. May, A. Böhm, J. Mühlig, and J. Teubner. From the application to the cpu: Holistic resource management for modern database management systems. In Bulletin of the IEEE Computer Society Technical Committee on Data Engineering, volume 42, pages 10–21, 2019.
Christian Beilschmidt, Johannes Drönner, Nikolaus Glombiewski, Michael Körber, Michael Mattig, Andreas Morgen, Bernhard Seeger: VAT to the Future: Extrapolating Visual Complex Event Processing, 7th OpenSky Workshop, 2019, Zurich, Switzerland.
Marc Seidemann, Nikolaus Glombiewski, Michael Körber, Bernhard Seeger: ChronicleDB: A High-Performance Event Store, ACM Transactions on Database Systems (TODS) 44 (4), 13, 2019.
Jan Skrzypczak, Florian Schintke, Thorsten Schütt: Linearizable State Machine Replication of State-Based CRDTs without Logs, Proceedings of the 2019 ACM Symposium on Principles of Distributed Computing (PODC), 2019, Pages 455-457, New York, 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, The VLDB Journal, 2019
Tim Gubner, Diego Tomé, Harald Lang, Peter Boncz: Fluid Co-processing: GPU Bloom-filters for CPU Joins, DaMoN 2019, Amsterdam, The Netherlands, 2019
Harald Lang, Thomas Neumann, Alfons Kemper, Peter Boncz: Performance-Optimal Filtering: Bloom Overtakes Cuckoo at High Throughput, PVLDB, 12(5), 2019
Constantin Pohl, Kai-Uwe Sattler, Goetz Graefe: Joins on high-bandwidth memory: a new level in the memory hierarchy, The VLDB Journal, 2019
Michael Körber, Nikolaus Glombiewski, Andreas Morgen, Bernhard Seeger: TPStream: low-latency and high-throughput temporal pattern matching on event streams, Distributed and Parallel Databases, 2019
Michael Körber, Jakob Eckstein, Nikolaus Glombiewski, Bernhard Seeger: Event Stream Processing on Heterogeneous System Architecture, DaMoN 2019, Amsterdam, The Netherlands, 2019
Christian Beilschmidt, Johannes Drönner, Nikolaus Glombiewski, Christian Heigele, Jana Holznigenkemper, Anna Isenberg, Michael Körber, Michael Mattig, Andreas Morgen, Bernhard Seeger: Pretty Fly for a VAT GUI: Visualizing Event Patterns for Flight Data, DEBS 2019, Darmstadt, Germany, 2019
Nikolaus Glombiewski, Bernhard Seeger, Goetz Graefe: Waves of Misery After Index Creation, Datenbanksysteme für Business, Technologie und Web (BTW 2019), March 2019
Constantin Pohl, Kai-Uwe Sattler: Parallelization of Massive Multiway Stream Joins on Manycore CPUs, Auto-DaSP 2019, Göttingen, Germany, 2019
Constantin Pohl: How to become a (Throughput) Billionaire: The Stream Processing Engine PipeFabric, Grundlagen von Datenbanken (GvD), Saarburg, Germany, 2019
Constantin Pohl, Kai-Uwe Sattler: Adaptive Partitioning and Order-Preserved Merging of Data Streams, ADBIS 2019, Bled, Slovenia, 2019
Robert Lasch, Ismail Oukid, Roman Dementiev, Norman May, Süleyman Sirri Demirsoy, Kai-Uwe Sattler: Fast & Strong: The Case of Compressed String Dictionaries on Modern CPUs, DaMoN 2019, Amsterdam, The Netherlands, 2019
Viktor Rosenfeld, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, Volker Markl: Performance Analysis and Automatic Tuning of Hash Aggregation on GPUs, DaMoN 2019, Amsterdam, The Netherlands, 2019
Tobias Ziegler, Uwe Röhm, Carsten Binnig: Skew-resilient Query Processing for Fast Networks, NoDMC@BTW 2019
Tobias Ziegler, Sumukha Tumkur Vani, Carsten Binnig, Rodrigo Fonseca, Tim Kraska: Designing Distributed Tree-based Index Structures for Fast RDMA-capable Networks, SIGMOD 2019
Gustavo Alonso, Carsten Binnig, Ippokratis Pandis, Kenneth Salem, Jan Skrzypczak, Ryan Stutsman, Lasse Thostrup, Tianzheng Wang, Zeke Wang, Tobias Ziegler: DPI: The Data Processing Interface for Modern Networks, CIDR 2019
Philipp Götze, Kai-Uwe Sattler. Snapshot Isolation for Transactional Stream Processing, Proceedings of the 22th International Conference on Extending Database Technology (EDBT), March 2019
Philipp Götze, Constantin Pohl, Kai-Uwe Sattler. Query Planning for Transactional Stream Processing on Heterogeneous Hardware: Opportunities and Limitations, Datenbanksysteme für Business, Technologie und Web (BTW 2019), Workshopband, March 2019
2018
A. Becher, S. Wildermann, J. Teich: Optimistic Regular Expression Matching on FPGAs for Near-Data Processing, Data Management on New Hardware (DaMoN) (Houston, Texas, 11. Juni 2018 – 11. Juni 2018)
J. Echavarria Gutierrez, K. Schütz, A. Becher, S. Wildermann, J. Teich: Can Approximate Computing Reduce Power Consumption on FPGAs? 25th IEEE International Conference on Electronics Circuits and Systems (Bordeaux, 9. Dezember 2018 – 12. Dezember 2018) In: Proceedings of IEEE International Conference on Electronics Circuits and Systems 2018
Marcel Blöcher, Tobias Ziegler, Carsten Binnig, Patrick Eugster: Boosting scalable data analytics with modern programmable networks, DaMoN 2018
Carsten Binnig: Scalable Data Management on Modern Networks, Datenbank-Spektrum, 2018
Andreas Becher, Lekshmi B.G., David Broneske, Tobias Drewes, Bala Gurumurthy, Klaus Meyer-Wegener, Thilo Pionteck, Gunter Saake, Jürgen Teich, Stefan Wildermann. Integration of FPGAs in Database Management Systems: Challenges and Opportunities, Datenbank-Spektrum, August 2018
Bala Gurumurthy, David Broneske, Tobias Drewes, Thilo Pionteck, Gunter Saake. Cooking DBMS Operations using Granular Primitives – An overview on a primitive-based RDBMS query evaluation, Datenbank-Spektrum, August 2018
Michael Körber, Nikolaus Glombiewski, Bernhard Seeger: TPStream: Low-Latency Temporal Pattern Matching on Event Streams, International Conference on Extending Database Technology (EDBT), 2018
Philipp Götze, Alexander van Renen, Lucas Lersch, Viktor Leis, Ismail Oukid: Data Management on Non-Volatile Memory: A Perspective, Datenbank-Spektrum, November, Number 3, Volume 18, 2018, Publisher Springer Nature
Timo Kersten, Viktor Leis, Alfons Kemper, Thomas Neumann, Andrew Pavlo, Peter Boncz: Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Ask, PVLDB, 11(13), 2018
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, DaMoN’18, Houston, Texas, USA, 2018
Lars-Christian Schulz, David Broneske, Gunter Saake: An Eight-Dimensional Systematic Evaluation of Optimized Search Algorithms on Modern Processors, PVLDB, 11 (11): 1550-1562, 2018.
Constantin Pohl: Stream Processing on High-Bandwidth Memory, Grundlagen von Datenbanken (GvD), 2018.
Jan Mühlig: B-link-trees for DB/OS Co-Design, Grundlagen von Datenbanken (GvD), 2018.
Bala Gurumurthy, Tobias Drewes, David Broneske, Gunter Saake, Thilo Pionteck: Adaptive Data Processing in Heterogeneous Hardware Systems, Grundlagen von Datenbanken (GvD), 2018.
Bala Gurumurthy, David Broneske, Marcus Pinnecke, Gabriel Campero Durand, Gunter Saake: SIMD Vectorized Hashing for Grouped Aggregation, Advances in Databases and Information Systems, 2018.
Sebastian Breß, Bastian Köcher, Henning Funke, Steffen Zeuch, Tilmann Rabl, Volker Markl: Generating Custom Code for Efficient Query Execution on Heterogeneous Processors, The VLDB Journal, 2018.
Clemens Lutz, Sebastian Breß, Tilmann Rabl, Steffen Zeuch, Volker Markl: Efficient k-Means on GPUs, DaMoN’18, Houston, Texas, USA, 2018.
Constantin Pohl, Kai-Uwe Sattler: Joins in a Heterogeneous Memory Hierarchy: Exploiting High-Bandwidth Memory, DaMoN’18, Houston, Texas, USA, 2018.
Philipp Götze, Stephan Baumann, Kai-Uwe Sattler: An NVM-aware Storage Layout for Analytical Workloads, IEEE International Conference on Data Engineering (ICDE), HardBD & Active Workshop, 2018, Paris, France
Tobias Behrens, Viktor Rosenfeld, Jonas Traub, Sebastian Breß, Volker Markl: Efficient SIMD Vectorization for Hashing in OpenCL, International Conference on Extending Database Technology (EDBT), 2018
Henning Funke, Sebastian Breß, Stefan Noll, Volker Markl, Jens Teubner: Pipelined Query Processing in Coprocessor Environments, International Conference on Management of Data (SIGMOD), 2018
Sebastian Krieter, Jacob Krüger, Nico Weichbrodt, Vasily A. Sartakov, Rüdiger Kapitza, Thomas Leich: Towards Secure Dynamic Product Lines in the Cloud, in International Conference on Software Engineering – New Ideas and Emerging Results Track (ICSE-NIER), ACM, 2018
Vasily A. Sartakov, Nico Weichbrodt, Sebastian Krieter, Thomas Leich, Rüdiger Kapitza: STANlite – a database engine for secure data processing at rack-scale level, in IEEE International Conference on Cloud Engineering (IC2E), Orlando, Florida, USA, 2018.
2017
Erfan Zamanian, Carsten Binnig, Tim Kraska and Tim Harris: The End of a Myth: Distributed Transaction Can Scale, PVLDB, Vol. 10, No. 6, 2017.
Abdallah Salama, Carsten Binnig, Tim Kraska, Ansgar Scherp, Tobias Ziegler: Rethinking Distributed Query Execution on High-Speed Networks, IEEE Data Eng. Bull., Vol. 40, No. 1, 2017.
Sebastian Breß, Bastian Köcher, Henning Funke, Tilmann Rabl, Volker Markl: Generating Custom Code for Efficient Query Execution on Heterogeneous Processors, CoRR abs/1709.00700, 2017
Constantin Pohl, Philipp Götze, Kai-Uwe Sattler: A Cost Model for Data Stream Processing on Modern Hardware, ADMS Workshop, September, 2017, Munich, Germany
Constantin Pohl: A Hardware-Oblivious Optimizer for Data Stream Processing, VLDB PhD Workshop, August, 2017, Munich, Germany
Constantin Pohl: Exploiting Manycore Architectures for Parallel Data Stream Processing, Proceedings of the 29th GI-Workshop Grundlagen von Datenbanken (GvD 2017), June, 2017, Pages 66-71, Blankenburg (Harz), Germany
