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Thomas Neumann 0001
Person information
- affiliation: TU Munich, Faculty of Computer Science, Germany
- award (2020): Gottfried Wilhelm Leibniz Prize
Other persons with the same name
- Thomas Neumann 0002 — Technische Hochschule Darmstadt, Germany
- Thomas Neumann 0003 — Symbolics GmbH, Eschborn, Germany
- Thomas Neumann 0004 — Meyer AG, Wiesbaden, Germany
- Thomas Neumann 0005 — VisionGate, Inc.
- Thomas Neumann 0006 — Saarland University, Saarbrücken, Germany
- Thomas Neumann 0007 — Hochschule für Technik und Wirtschaft Dresden, Germany (and 1 more)
- Thomas Neumann 0008 — SYSTOR AG, Basel, Switzerland
- Thomas Neumann 0009 (aka: Thomas A. Neumann) — NASA Goddard Space Flight Center, Greenbelt, MD, USA
- Thomas Neumann 0010 — University of Siegen, School of Life Sciences, Germany (and 1 more)
- Thomas Neumann 0011 — North Central College, Department of Computer Science and Engineering, IL, USA
- Thomas Neumann 0012 — Virginia Commonwealth University, Massey Cancer Center, Richmond, VA, USA
- Thomas Neumann 0013 — Leibniz Institute for Baltic Sea Research Warnemünde, Rostock, Germany
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2020 – today
- 2024
- [j80]Altan Birler, Alfons Kemper, Thomas Neumann:
Robust Join Processing with Diamond Hardened Joins. Proc. VLDB Endow. 17(11): 3215-3228 (2024) - [j79]Tobias Schmidt, Dominik Durner, Viktor Leis, Thomas Neumann:
Two Birds With One Stone: Designing a Hybrid Cloud Storage Engine for HTAP. Proc. VLDB Endow. 17(11): 3290-3303 (2024) - [j78]Thomas Neumann:
Technical Perspective: From Binary Join to Free Join. SIGMOD Rec. 53(1): 24 (2024) - [j77]Thomas Neumann:
Technical Perspective: Efficient and Reusable Lazy Sampling. SIGMOD Rec. 53(1): 32 (2024) - [c151]Thomas Neumann, Viktor Leis:
A Critique of Modern SQL and a Proposal Towards a Simple and Expressive Query Language. CIDR 2024 - [c150]Altan Birler, Tobias Schmidt, Philipp Fent, Thomas Neumann:
Simple, Efficient, and Robust Hash Tables for Join Processing. DaMoN 2024: 4:1-4:9 - [c149]Leon Windheuser, Christoph Anneser, Huanchen Zhang, Thomas Neumann, Alfons Kemper:
Adaptive Compression for Databases. EDBT 2024: 143-149 - [c148]Thomas Neumann:
Closing the Gap between Theory and Practice in Query Optimization. PODS Companion 2024: 4 - 2023
- [j76]Ferdinand Gruber, Maximilian Bandle, Alexis Engelke, Thomas Neumann, Jana Giceva:
Bringing Compiling Databases to RISC Architectures. Proc. VLDB Endow. 16(6): 1222-1234 (2023) - [j75]Dominik Durner, Viktor Leis, Thomas Neumann:
Exploiting Cloud Object Storage for High-Performance Analytics. Proc. VLDB Endow. 16(11): 2769-2782 (2023) - [j74]Philipp Fent, Guido Moerkotte, Thomas Neumann:
Asymptotically Better Query Optimization Using Indexed Algebra. Proc. VLDB Endow. 16(11): 3018-3030 (2023) - [j73]Philipp Fent, Altan Birler, Thomas Neumann:
Practical planning and execution of groupjoin and nested aggregates. VLDB J. 32(6): 1165-1190 (2023) - [c147]Maximilian Emanuel Schüle, Alfons Kemper, Thomas Neumann:
NN2SQL: Let SQL Think for Neural Networks. BTW 2023: 183-194 - [c146]Alice Rey, Michael Freitag, Thomas Neumann:
Seamless Integration of Parquet Files into Data Processing. BTW 2023: 235-258 - [c145]Christian Winter, Moritz Sichert, Altan Birler, Thomas Neumann, Alfons Kemper:
Communication-Optimal Parallel Reservoir Sampling. BTW 2023: 567-578 - [c144]Maximilian E. Schüle, Luca Scalerandi, Alfons Kemper, Thomas Neumann:
Blue Elephants Inspecting Pandas: Inspection and Execution of Machine Learning Pipelines in SQL. EDBT 2023: 40-52 - [c143]Peter A. Boncz, Yannis Chronis, Jan Finis, Stefan Halfpap, Viktor Leis, Thomas Neumann, Anisoara Nica, Caetano Sauer, Knut Stolze, Marcin Zukowski:
SPA: Economical and Workload-Driven Indexing for Data Analytics in the Cloud. ICDE 2023: 3740-3746 - [c142]Christian Winter, Thomas Neumann, Alfons Kemper:
Relation-Based In-Database Stream Processing. VLDB Workshops 2023 - [c141]Adrian Riedl, Philipp Fent, Maximilian Bandle, Thomas Neumann:
Exploiting Code Generation for Efficient LIKE Pattern Matching. VLDB Workshops 2023 - [i15]André Kohn, Dominik Moritz, Thomas Neumann:
DashQL - Complete Analysis Workflows with SQL. CoRR abs/2306.03714 (2023) - [i14]Maximilian E. Schüle, Thomas Neumann, Alfons Kemper:
The Duck's Brain: Training and Inference of Neural Networks in Modern Database Engines. CoRR abs/2312.17355 (2023) - 2022
- [j72]Daniel Abadi, Anastasia Ailamaki, David G. Andersen, Peter Bailis, Magdalena Balazinska, Philip A. Bernstein, Peter A. Boncz, Surajit Chaudhuri, Alvin Cheung, AnHai Doan, Luna Dong, Michael J. Franklin, Juliana Freire, Alon Y. Halevy, Joseph M. Hellerstein, Stratos Idreos, Donald Kossmann, Tim Kraska, Sailesh Krishnamurthy, Volker Markl, Sergey Melnik, Tova Milo, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Jignesh M. Patel, Andrew Pavlo, Raluca A. Popa, Raghu Ramakrishnan, Christopher Ré, Michael Stonebraker, Dan Suciu:
The Seattle report on database research. Commun. ACM 65(8): 72-79 (2022) - [j71]Josef Schmeißer, Maximilian E. Schüle, Viktor Leis, Thomas Neumann, Alfons Kemper:
B2-Tree: Page-Based String Indexing in Concurrent Environments. Datenbank-Spektrum 22(1): 11-22 (2022) - [j70]Maximilian E. Schüle, Harald Lang, Maximilian Springer, Alfons Kemper, Thomas Neumann, Stephan Günnemann:
Recursive SQL and GPU-support for in-database machine learning. Distributed Parallel Databases 40(2-3): 205-259 (2022) - [j69]Moritz Sichert, Thomas Neumann:
User-Defined Operators: Efficiently Integrating Custom Algorithms into Modern Databases. Proc. VLDB Endow. 15(5): 1119-1131 (2022) - [j68]Michael J. Freitag, Alfons Kemper, Thomas Neumann:
Memory-Optimized Multi-Version Concurrency Control for Disk-Based Database Systems. Proc. VLDB Endow. 15(11): 2797-2810 (2022) - [j67]Lukas Vogel, Alexander van Renen, Satoshi Imamura, Jana Giceva, Thomas Neumann, Alfons Kemper:
Plush: A Write-Optimized Persistent Log-Structured Hash-Table. Proc. VLDB Endow. 15(11): 2895-2907 (2022) - [j66]Christian Winter, Jana Giceva, Thomas Neumann, Alfons Kemper:
On-Demand State Separation for Cloud Data Warehousing. Proc. VLDB Endow. 15(11): 2966-2979 (2022) - [j65]Maximilian Reif, Thomas Neumann:
A Scalable and Generic Approach to Range Joins. Proc. VLDB Endow. 15(11): 3018-3030 (2022) - [j64]André Kohn, Dominik Moritz, Mark Raasveldt, Hannes Mühleisen, Thomas Neumann:
DuckDB-Wasm: Fast Analytical Processing for the Web. Proc. VLDB Endow. 15(12): 3574-3577 (2022) - [c140]Tobias Schmidt, Philipp Fent, Thomas Neumann:
Efficiently Compiling Dynamic Code for Adaptive Query Processing. ADMS@VLDB 2022: 11-22 - [c139]Leonard von Merzljak, Philipp Fent, Thomas Neumann, Jana Giceva:
What Are You Waiting For? Use Coroutines for Asynchronous I/O to Hide I/O Latencies and Maximize the Read Bandwidth! ADMS@VLDB 2022: 36-46 - [c138]Maximilian E. Schüle, Maximilian Springer, Alfons Kemper, Thomas Neumann:
LLVM code optimisation for automatic differentiation: when forward and reverse mode lead in the same direction. DEEM@SIGMOD 2022: 5:1-5:4 - [c137]Maximilian E. Schüle, Tobias Götz, Alfons Kemper, Thomas Neumann:
ArrayQL Integration into Code-Generating Database Systems. EDBT 2022: 1:40-1:51 - [c136]Adrian Vogelsgesang, Thomas Neumann, Viktor Leis, Alfons Kemper:
Efficient Evaluation of Arbitrarily-Framed Holistic SQL Aggregates and Window Functions. SIGMOD Conference 2022: 1243-1256 - [c135]Christoph Anneser, Andreas Kipf, Huanchen Zhang, Thomas Neumann, Alfons Kemper:
Adaptive Hybrid Indexes. SIGMOD Conference 2022: 1626-1639 - [c134]Maximilian Emanuel Schüle, Alfons Kemper, Thomas Neumann:
Recursive SQL for Data Mining. SSDBM 2022: 21:1-21:4 - 2021
- [j63]Tim Kraska, Umar Farooq Minhas, Thomas Neumann, Olga Papaemmanouil, Jignesh M. Patel, Christopher Ré, Michael Stonebraker:
ML-In-Databases: Assessment and Prognosis. IEEE Data Eng. Bull. 44(1): 3-10 (2021) - [j62]Philipp Fent, Thomas Neumann:
A Practical Approach to Groupjoin and Nested Aggregates. Proc. VLDB Endow. 14(11): 2383-2396 (2021) - [j61]Thomas Neumann:
Evolution of a Compiling Query Engine. Proc. VLDB Endow. 14(12): 3207-3210 (2021) - [j60]André Kohn, Viktor Leis, Thomas Neumann:
Making Compiling Query Engines Practical. IEEE Trans. Knowl. Data Eng. 33(2): 597-612 (2021) - [j59]Timo Kersten, Viktor Leis, Thomas Neumann:
Tidy Tuples and Flying Start: fast compilation and fast execution of relational queries in Umbra. VLDB J. 30(5): 883-905 (2021) - [c133]Magdalena Pröbstl, Philipp Fent, Maximilian E. Schüle, Moritz Sichert, Thomas Neumann, Alfons Kemper:
One Buffer Manager to Rule Them All: Using Distributed Memory with Cache Coherence over RDMA. ADMS@VLDB 2021: 17-26 - [c132]Josef Schmeißer, Maximilian E. Schüle, Viktor Leis, Thomas Neumann, Alfons Kemper:
B²-Tree: Cache-Friendly String Indexing within B-Trees. BTW 2021: 39-58 - [c131]Lukas Karnowski, Maximilian E. Schüle, Alfons Kemper, Thomas Neumann:
Umbra as a Time Machine. BTW 2021: 123-132 - [c130]Christian Winter, Andreas Kipf, Christoph Anneser, Eleni Tzirita Zacharatou, Thomas Neumann, Alfons Kemper:
GeoBlocks: A Query-Cache Accelerated Data Structure for Spatial Aggregation over Polygons. EDBT 2021: 169-180 - [c129]Alexander Beischl, Timo Kersten, Maximilian Bandle, Jana Giceva, Thomas Neumann:
Profiling dataflow systems on multiple abstraction levels. EuroSys 2021: 474-489 - [c128]Martin Eppert, Philipp Fent, Thomas Neumann:
A Tailored Regression for Learned Indexes: Logarithmic Error Regression. aiDM@SIGMOD 2021: 9-15 - [c127]Maximilian Bandle, Jana Giceva, Thomas Neumann:
To Partition, or Not to Partition, That is the Join Question in a Real System. SIGMOD Conference 2021: 168-180 - [c126]Dominik Durner, Viktor Leis, Thomas Neumann:
JSON Tiles: Fast Analytics on Semi-Structured Data. SIGMOD Conference 2021: 445-458 - [c125]André Kohn, Viktor Leis, Thomas Neumann:
Building Advanced SQL Analytics From Low-Level Plan Operators. SIGMOD Conference 2021: 1001-1013 - [c124]Benjamin Wagner, André Kohn, Thomas Neumann:
Self-Tuning Query Scheduling for Analytical Workloads. SIGMOD Conference 2021: 1879-1891 - [c123]Maximilian E. Schüle, Josef Schmeißer, Thomas Blum, Alfons Kemper, Thomas Neumann:
TardisDB: Extending SQL to Support Versioning. SIGMOD Conference 2021: 2775-2778 - [c122]Maximilian E. Schüle, Harald Lang, Maximilian Springer, Alfons Kemper, Thomas Neumann, Stephan Günnemann:
In-Database Machine Learning with SQL on GPUs. SSDBM 2021: 25-36 - [c121]Maximilian E. Schüle, Tobias Götz, Alfons Kemper, Thomas Neumann:
ArrayQL for Linear Algebra within Umbra. SSDBM 2021: 193-196 - 2020
- [j58]Michael J. Freitag, Maximilian Bandle, Tobias Schmidt, Alfons Kemper, Thomas Neumann:
Adopting Worst-Case Optimal Joins in Relational Database Systems. Proc. VLDB Endow. 13(11): 1891-1904 (2020) - [j57]Christian Winter, Tobias Schmidt, Thomas Neumann, Alfons Kemper:
Meet Me Halfway: Split Maintenance of Continuous Views. Proc. VLDB Endow. 13(11): 2620-2633 (2020) - [j56]Peter A. Boncz, Thomas Neumann, Viktor Leis:
FSST: Fast Random Access String Compression. Proc. VLDB Endow. 13(11): 2649-2661 (2020) - [j55]Lukas Vogel, Alexander van Renen, Satoshi Imamura, Viktor Leis, Thomas Neumann, Alfons Kemper:
Mosaic: A Budget-Conscious Storage Engine for Relational Database Systems. Proc. VLDB Endow. 13(11): 2662-2675 (2020) - [j54]Ryan Marcus, Andreas Kipf, Alexander van Renen, Mihail Stoian, Sanchit Misra, Alfons Kemper, Thomas Neumann, Tim Kraska:
Benchmarking Learned Indexes. Proc. VLDB Endow. 14(1): 1-13 (2020) - [j53]Harald Lang, Linnea Passing, Andreas Kipf, Peter A. Boncz, Thomas Neumann, Alfons Kemper:
Make the most out of your SIMD investments: counter control flow divergence in compiled query pipelines. VLDB J. 29(2-3): 757-774 (2020) - [j52]Alexander van Renen, Lukas Vogel, Viktor Leis, Thomas Neumann, Alfons Kemper:
Building blocks for persistent memory. VLDB J. 29(6): 1223-1241 (2020) - [c120]Maximilian E. Schüle, Alex Kulikov, Alfons Kemper, Thomas Neumann:
ARTful Skyline Computation for In-Memory Database Systems. ADBIS (Short Papers) 2020: 3-12 - [c119]Thomas Neumann, Michael J. Freitag:
Umbra: A Disk-Based System with In-Memory Performance. CIDR 2020 - [c118]Jan Böttcher, Viktor Leis, Jana Giceva, Thomas Neumann, Alfons Kemper:
Scalable and robust latches for database systems. DaMoN 2020: 2:1-2:8 - [c117]Altan Birler, Bernhard Radke, Thomas Neumann:
Concurrent online sampling for all, for free. DaMoN 2020: 5:1-5:8 - [c116]Andreas Kipf, Harald Lang, Varun Pandey, Raul Alexandru Persa, Christoph Anneser, Eleni Tzirita Zacharatou, Harish Doraiswamy, Peter A. Boncz, Thomas Neumann, Alfons Kemper:
Adaptive Main-Memory Indexing for High-Performance Point-Polygon Joins. EDBT 2020: 347-358 - [c115]Christoph Anneser, Andreas Kipf, Harald Lang, Thomas Neumann, Alfons Kemper:
The Case for Hybrid Succinct Data Structures. EDBT 2020: 391-394 - [c114]Philipp Fent, Michael Jungmair, Andreas Kipf, Thomas Neumann:
START - Self-Tuning Adaptive Radix Tree. ICDE Workshops 2020: 147-153 - [c113]Philipp Fent, Alexander van Renen, Andreas Kipf, Viktor Leis, Thomas Neumann, Alfons Kemper:
Low-Latency Communication for Fast DBMS Using RDMA and Shared Memory. ICDE 2020: 1477-1488 - [c112]Timo Kersten, Thomas Neumann:
On another level: how to debug compiling query engines. DBTest@SIGMOD 2020: 2:1-2:6 - [c111]Andreas Kipf, Ryan Marcus, Alexander van Renen, Mihail Stoian, Alfons Kemper, Tim Kraska, Thomas Neumann:
RadixSpline: a single-pass learned index. aiDM@SIGMOD 2020: 5:1-5:5 - [c110]Michael Haubenschild, Caetano Sauer, Thomas Neumann, Viktor Leis:
Rethinking Logging, Checkpoints, and Recovery for High-Performance Storage Engines. SIGMOD Conference 2020: 877-892 - [c109]Harald Lang, Alexander Beischl, Viktor Leis, Peter A. Boncz, Thomas Neumann, Alfons Kemper:
Tree-Encoded Bitmaps. SIGMOD Conference 2020: 937-967 - [c108]Maximilian E. Schüle, Jakob Huber, Alfons Kemper, Thomas Neumann:
Freedom for the SQL-Lambda: Just-in-Time-Compiling User-Injected Functions in PostgreSQL. SSDBM 2020: 6:1-6:12 - [e7]Danica Porobic, Thomas Neumann:
16th International Workshop on Data Management on New Hardware, DaMoN 2020, Portland, Oregon, USA, June 15, 2020. ACM 2020, ISBN 978-1-4503-8024-9 [contents] - [i13]Andreas Kipf, Ryan Marcus, Alexander van Renen, Mihail Stoian, Alfons Kemper, Tim Kraska, Thomas Neumann:
RadixSpline: A Single-Pass Learned Index. CoRR abs/2004.14541 (2020) - [i12]Ryan Marcus, Andreas Kipf, Alexander van Renen, Mihail Stoian, Sanchit Misra, Alfons Kemper, Thomas Neumann, Tim Kraska:
Benchmarking Learned Indexes. CoRR abs/2006.12804 (2020)
2010 – 2019
- 2019
- [j51]Viktor Leis, Michael Haubenschild, Thomas Neumann:
Optimistic Lock Coupling: A Scalable and Efficient General-Purpose Synchronization Method. IEEE Data Eng. Bull. 42(1): 73-84 (2019) - [j50]Harald Lang, Thomas Neumann, Alfons Kemper, Peter A. Boncz:
Performance-Optimal Filtering: Bloom overtakes Cuckoo at High-Throughput. Proc. VLDB Endow. 12(5): 502-515 (2019) - [j49]Jan Böttcher, Viktor Leis, Thomas Neumann, Alfons Kemper:
Scalable Garbage Collection for In-Memory MVCC Systems. Proc. VLDB Endow. 13(2): 128-141 (2019) - [j48]Daniel Abadi, Anastasia Ailamaki, David G. Andersen, Peter Bailis, Magdalena Balazinska, Philip A. Bernstein, Peter A. Boncz, Surajit Chaudhuri, Alvin Cheung, AnHai Doan, Luna Dong, Michael J. Franklin, Juliana Freire, Alon Y. Halevy, Joseph M. Hellerstein, Stratos Idreos, Donald Kossmann, Tim Kraska, Sailesh Krishnamurthy, Volker Markl, Sergey Melnik, Tova Milo, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Jignesh M. Patel, Andrew Pavlo, Raluca A. Popa, Raghu Ramakrishnan, Christopher Ré, Michael Stonebraker, Dan Suciu:
The Seattle Report on Database Research. SIGMOD Rec. 48(4): 44-53 (2019) - [j47]Andreas Kipf, Varun Pandey, Jan Böttcher, Lucas Braun, Thomas Neumann, Alfons Kemper:
Scalable Analytics on Fast Data. ACM Trans. Database Syst. 44(1): 1:1-1:35 (2019) - [c107]Dominik Durner, Viktor Leis, Thomas Neumann:
Experimental Study of Memory Allocation for High-Performance Query Processing. ADMS@VLDB 2019: 1-9 - [c106]Bernhard Radke, Thomas Neumann:
LinDP++: Generalizing Linearized DP to Crossproducts and Non-Inner Joins. BTW 2019: 57-76 - [c105]Maximilian E. Schüle, Linnea Passing, Alfons Kemper, Thomas Neumann:
Ja-(zu-)SQL: Evaluation einer SQL-Skriptsprache für Hauptspeicherdatenbanksysteme. BTW 2019: 107-126 - [c104]Maximilian E. Schüle, Frédéric Simonis, Thomas Heyenbrock, Alfons Kemper, Stephan Günnemann, Thomas Neumann:
In-Database Machine Learning: Gradient Descent and Tensor Algebra for Main Memory Database Systems. BTW 2019: 247-266 - [c103]Kai-Uwe Sattler, Alfons Kemper, Thomas Neumann, Jens Teubner:
DFG Priority Program SPP 2037: Scalable Data Management for Future Hardware. BTW (Workshops) 2019: 273-276 - [c102]Adrian Vogelsgesang, Tobias Mühlbauer, Viktor Leis, Thomas Neumann, Alfons Kemper:
Domain Query Optimization: Adapting the General-Purpose Database System Hyper for Tableau Workloads. BTW 2019: 313-333 - [c101]Michael J. Freitag, Thomas Neumann:
Every Row Counts: Combining Sketches and Sampling for Accurate Group-By Result Estimates. CIDR 2019 - [c100]Alexander van Renen, Lukas Vogel, Viktor Leis, Thomas Neumann, Alfons Kemper:
Persistent Memory I/O Primitives. DaMoN 2019: 12:1-12:7 - [c99]Dominik Durner, Viktor Leis, Thomas Neumann:
On the Impact of Memory Allocation on High-Performance Query Processing. DaMoN 2019: 21:1-21:3 - [c98]Maximilian E. Schüle, Dimitri Vorona, Linnea Passing, Harald Lang, Alfons Kemper, Stephan Günnemann, Thomas Neumann:
The Power of SQL Lambda Functions. EDBT 2019: 534-537 - [c97]Maximilian E. Schüle, Matthias Bungeroth, Dimitri Vorona, Alfons Kemper, Stephan Günnemann, Thomas Neumann:
ML2SQL - Compiling a Declarative Machine Learning Language to SQL and Python. EDBT 2019: 562-565 - [c96]Dimitri Vorona, Andreas Kipf, Thomas Neumann, Alfons Kemper:
DeepSPACE: Approximate Geospatial Query Processing with Deep Learning. SIGSPATIAL/GIS 2019: 500-503 - [c95]Dominik Durner, Thomas Neumann:
No False Negatives: Accepting All Useful Schedules in a Fast Serializable Many-Core System. ICDE 2019: 734-745 - [c94]Maximilian E. Schüle, Matthias Bungeroth, Alfons Kemper, Stephan Günnemann, Thomas Neumann:
MLearn: A Declarative Machine Learning Language for Database Systems. DEEM@SIGMOD 2019: 7:1-7:4 - [c93]Andreas Kipf, Dimitri Vorona, Jonas Müller, Thomas Kipf, Bernhard Radke, Viktor Leis, Peter A. Boncz, Thomas Neumann, Alfons Kemper:
Estimating Cardinalities with Deep Sketches. SIGMOD Conference 2019: 1937-1940 - [c92]Thomas Neumann, Ken Salem:
DaMoN 19: The 15th International Workshop on Data Management on New Hardware. SIGMOD Conference 2019: 2070-2071 - [c91]Maximilian E. Schüle, Lukas Karnowski, Josef Schmeißer, Benedikt Kleiner, Alfons Kemper, Thomas Neumann:
Versioning in Main-Memory Database Systems: From MusaeusDB to TardisDB. SSDBM 2019: 169-180 - [e6]Thomas Neumann, Ken Salem:
Proceedings of the 15th International Workshop on Data Management on New Hardware, DaMoN 2019, Amsterdam, The Netherlands, 1 July 2019. ACM 2019, ISBN 978-1-4503-6801-8 [contents] - [i11]Alexander van Renen, Lukas Vogel, Viktor Leis, Thomas Neumann, Alfons Kemper:
Persistent Memory I/O Primitives. CoRR abs/1904.01614 (2019) - [i10]Andreas Kipf, Dimitri Vorona, Jonas Müller, Thomas Kipf, Bernhard Radke, Viktor Leis, Peter A. Boncz, Thomas Neumann, Alfons Kemper:
Estimating Cardinalities with Deep Sketches. CoRR abs/1904.08223 (2019) - [i9]Dominik Durner, Viktor Leis, Thomas Neumann:
On the Impact of Memory Allocation on High-Performance Query Processing. CoRR abs/1905.01135 (2019) - [i8]Dimitri Vorona, Andreas Kipf, Thomas Neumann, Alfons Kemper:
DeepSPACE: Approximate Geospatial Query Processing with Deep Learning. CoRR abs/1906.06085 (2019) - [i7]Christian Winter, Andreas Kipf, Thomas Neumann, Alfons Kemper:
GeoBlocks: A Query-Driven Storage Layout for Geospatial Data. CoRR abs/1908.07753 (2019) - [i6]Andreas Kipf, Ryan Marcus, Alexander van Renen, Mihail Stoian, Alfons Kemper, Tim Kraska, Thomas Neumann:
SOSD: A Benchmark for Learned Indexes. CoRR abs/1911.13014 (2019) - 2018
- [j46]Varun Pandey, Andreas Kipf, Thomas Neumann, Alfons Kemper:
How Good Are Modern Spatial Analytics Systems? Proc. VLDB Endow. 11(11): 1661-1673 (2018) - [j45]Timo Kersten, Viktor Leis, Alfons Kemper, Thomas Neumann, Andrew Pavlo, Peter A. Boncz:
Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Ask. Proc. VLDB Endow. 11(13): 2209-2222 (2018) - [j44]Viktor Leis, Bernhard Radke, Andrey Gubichev, Atanas Mirchev, Peter A. Boncz, Alfons Kemper, Thomas Neumann:
Query optimization through the looking glass, and what we found running the Join Order Benchmark. VLDB J. 27(5): 643-668 (2018) - [c90]Harald Lang, Andreas Kipf, Linnea Passing, Peter A. Boncz, Thomas Neumann, Alfons Kemper:
Make the most out of your SIMD investments: counter control flow divergence in compiled query pipelines. DaMoN 2018: 5:1-5:8 - [c89]Viktor Leis, Michael Haubenschild, Alfons Kemper, Thomas Neumann:
LeanStore: In-Memory Data Management beyond Main Memory. ICDE 2018: 185-196 - [c88]André Kohn, Viktor Leis, Thomas Neumann:
Adaptive Execution of Compiled Queries. ICDE 2018: 197-208 - [c87]Andreas Kipf, Harald Lang, Varun Pandey, Raul Alexandru Persa, Peter A. Boncz, Thomas Neumann, Alfons Kemper:
Approximate Geospatial Joins with Precision Guarantees. ICDE 2018: 1360-1363 - [c86]