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ORCIDAlfons Kemper
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- affiliation: TU Munich, Institut fuer Informatik, Germany
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2020 – today
- 2024
[j97]Maximilian E. Schüle
, Thomas Neumann, Alfons Kemper:
The Duck's Brain. Datenbank-Spektrum 24(3): 209-221 (2024)- [j96]Altan Birler, Alfons Kemper, Thomas Neumann:
Robust Join Processing with Diamond Hardened Joins. Proc. VLDB Endow. 17(11): 3215-3228 (2024) - [c218]Leon Windheuser, Christoph Anneser, Huanchen Zhang, Thomas Neumann, Alfons Kemper:
Adaptive Compression for Databases. EDBT 2024: 143-149 - 2023
- [j95]Alfons Kemper:
Technical Perspective: FoundationDB Performs Balancing Act. Commun. ACM 66(6): 96 (2023) - [j94]Christoph Anneser, Mario Petruccelli, Nesime Tatbul, David E. Cohen, Zhenggang Xu, Prithviraj Pandian, Nikolay Laptev, Ryan Marcus, Alfons Kemper:
QO-Insight: Inspecting Steered Query Optimizers. Proc. VLDB Endow. 16(12): 3922-3925 (2023) - [c217]Maximilian Emanuel Schüle, Alfons Kemper, Thomas Neumann:
NN2SQL: Let SQL Think for Neural Networks. BTW 2023: 183-194 - [c216]Christian Winter, Moritz Sichert, Altan Birler, Thomas Neumann, Alfons Kemper:
Communication-Optimal Parallel Reservoir Sampling. BTW 2023: 567-578 - [c215]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 - [c214]Christian Winter, Thomas Neumann, Alfons Kemper:
Relation-Based In-Database Stream Processing. VLDB Workshops 2023 - [i19]Varun Pandey, Alexander van Renen, Eleni Tzirita Zacharatou, Andreas Kipf, Ibrahim Sabek, Jialin Ding, Volker Markl, Alfons Kemper:
Enhancing In-Memory Spatial Indexing with Learned Search. CoRR abs/2309.06354 (2023) - [i18]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
- [j93]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) - [j92]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) - [j91]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) - [j90]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) - [j89]Christian Winter, Jana Giceva, Thomas Neumann, Alfons Kemper:
On-Demand State Separation for Cloud Data Warehousing. Proc. VLDB Endow. 15(11): 2966-2979 (2022) - [j88]Alfons Kemper:
Technical Perspective: FoundationDB: A Distributed Unbundled Transactional Key Value Store. SIGMOD Rec. 51(1): 23 (2022) - [c213]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 - [c212]Maximilian E. Schüle, Tobias Götz, Alfons Kemper, Thomas Neumann:
ArrayQL Integration into Code-Generating Database Systems. EDBT 2022: 1:40-1:51 - [c211]Adrian Vogelsgesang, Thomas Neumann, Viktor Leis, Alfons Kemper:
Efficient Evaluation of Arbitrarily-Framed Holistic SQL Aggregates and Window Functions. SIGMOD Conference 2022: 1243-1256 - [c210]Christoph Anneser, Andreas Kipf, Huanchen Zhang, Thomas Neumann, Alfons Kemper:
Adaptive Hybrid Indexes. SIGMOD Conference 2022: 1626-1639 - [c209]Maximilian Emanuel Schüle, Alfons Kemper, Thomas Neumann:
Recursive SQL for Data Mining. SSDBM 2022: 21:1-21:4 - 2021
- [j87]Varun Pandey, Alexander van Renen, Andreas Kipf, Alfons Kemper:
How Good Are Modern Spatial Libraries? Data Sci. Eng. 6(2): 192-208 (2021) - [j86]Kai-Uwe Sattler, Alfons Kemper, Theo Härder:
Erratum zu: Editorial. Datenbank-Spektrum 21(2): 173 (2021) - [c208]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 - [c207]Josef Schmeißer, Maximilian E. Schüle, Viktor Leis, Thomas Neumann, Alfons Kemper:
B²-Tree: Cache-Friendly String Indexing within B-Trees. BTW 2021: 39-58 - [c206]Lukas Karnowski, Maximilian E. Schüle, Alfons Kemper, Thomas Neumann:
Umbra as a Time Machine. BTW 2021: 123-132 - [c205]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 - [c204]Maximilian E. Schüle, Josef Schmeißer, Thomas Blum, Alfons Kemper, Thomas Neumann:
TardisDB: Extending SQL to Support Versioning. SIGMOD Conference 2021: 2775-2778 - [c203]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 - [c202]Maximilian E. Schüle, Tobias Götz, Alfons Kemper, Thomas Neumann:
ArrayQL for Linear Algebra within Umbra. SSDBM 2021: 193-196 - 2020
- [j85]Kai-Uwe Sattler, Alfons Kemper, Theo Härder:
Editorial. Datenbank-Spektrum 20(3): 195-197 (2020) - [j84]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) - [j83]Christian Winter, Tobias Schmidt, Thomas Neumann, Alfons Kemper:
Meet Me Halfway: Split Maintenance of Continuous Views. Proc. VLDB Endow. 13(11): 2620-2633 (2020) - [j82]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) - [j81]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) - [j80]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) - [j79]Alexander van Renen, Lukas Vogel, Viktor Leis, Thomas Neumann, Alfons Kemper:
Building blocks for persistent memory. VLDB J. 29(6): 1223-1241 (2020) - [c201]Maximilian E. Schüle, Alex Kulikov, Alfons Kemper, Thomas Neumann:
ARTful Skyline Computation for In-Memory Database Systems. ADBIS (Short Papers) 2020: 3-12 - [c200]Jan Böttcher, Viktor Leis, Jana Giceva, Thomas Neumann, Alfons Kemper:
Scalable and robust latches for database systems. DaMoN 2020: 2:1-2:8 - [c199]Varun Pandey, Alexander van Renen, Andreas Kipf, Alfons Kemper:
An Evaluation of Modern Spatial Libraries. DASFAA (2) 2020: 711-727 - [c198]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 - [c197]Christoph Anneser, Andreas Kipf, Harald Lang, Thomas Neumann, Alfons Kemper:
The Case for Hybrid Succinct Data Structures. EDBT 2020: 391-394 - [c196]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 - [c195]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 - [c194]Harald Lang, Alexander Beischl, Viktor Leis, Peter A. Boncz, Thomas Neumann, Alfons Kemper:
Tree-Encoded Bitmaps. SIGMOD Conference 2020: 937-967 - [c193]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 - [c192]Varun Pandey, Alexander van Renen, Andreas Kipf, Jialin Ding, Ibrahim Sabek, Alfons Kemper:
The Case for Learned Spatial Indexes. AIDB@VLDB 2020 - [i17]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) - [i16]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) - [i15]Varun Pandey, Alexander van Renen, Andreas Kipf, Ibrahim Sabek, Jialin Ding, Alfons Kemper:
The Case for Learned Spatial Indexes. CoRR abs/2008.10349 (2020)
2010 – 2019
- 2019
- [j78]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) - [j77]Jan Böttcher, Viktor Leis, Thomas Neumann, Alfons Kemper:
Scalable Garbage Collection for In-Memory MVCC Systems. Proc. VLDB Endow. 13(2): 128-141 (2019) - [j76]Meichun Hsu, Alfons Kemper, Timos Sellis:
Special Section on the International Conference on Data Engineering 2016. IEEE Trans. Knowl. Data Eng. 31(1): 1-2 (2019) - [j75]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) - [c191]Maximilian E. Schüle, Linnea Passing, Alfons Kemper, Thomas Neumann:
Ja-(zu-)SQL: Evaluation einer SQL-Skriptsprache für Hauptspeicherdatenbanksysteme. BTW 2019: 107-126 - [c190]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 - [c189]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 - [c188]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 - [c187]Andreas Kipf, Thomas Kipf, Bernhard Radke, Viktor Leis, Peter A. Boncz, Alfons Kemper:
Learned Cardinalities: Estimating Correlated Joins with Deep Learning. CIDR 2019 - [c186]Alexander van Renen, Lukas Vogel, Viktor Leis, Thomas Neumann, Alfons Kemper:
Persistent Memory I/O Primitives. DaMoN 2019: 12:1-12:7 - [c185]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 - [c184]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 - [c183]Dimitri Vorona, Andreas Kipf, Thomas Neumann, Alfons Kemper:
DeepSPACE: Approximate Geospatial Query Processing with Deep Learning. SIGSPATIAL/GIS 2019: 500-503 - [c182]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 - [c181]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 - [c180]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 - [i14]Alexander van Renen, Lukas Vogel, Viktor Leis, Thomas Neumann, Alfons Kemper:
Persistent Memory I/O Primitives. CoRR abs/1904.01614 (2019) - [i13]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) - [i12]Dimitri Vorona, Andreas Kipf, Thomas Neumann, Alfons Kemper:
DeepSPACE: Approximate Geospatial Query Processing with Deep Learning. CoRR abs/1906.06085 (2019) - [i11]Christian Winter, Andreas Kipf, Thomas Neumann, Alfons Kemper:
GeoBlocks: A Query-Driven Storage Layout for Geospatial Data. CoRR abs/1908.07753 (2019) - [i10]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
- [j74]Kai-Uwe Sattler, Alfons Kemper, Theo Härder:
Editorial. Datenbank-Spektrum 18(3): 141-143 (2018) - [j73]Varun Pandey, Andreas Kipf, Thomas Neumann, Alfons Kemper:
How Good Are Modern Spatial Analytics Systems? Proc. VLDB Endow. 11(11): 1661-1673 (2018) - [j72]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) - [j71]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) - [c179]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 - [c178]Viktor Leis, Michael Haubenschild, Alfons Kemper, Thomas Neumann:
LeanStore: In-Memory Data Management beyond Main Memory. ICDE 2018: 185-196 - [c177]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 - [c176]Adrian Vogelsgesang, Michael Haubenschild, Jan Finis, Alfons Kemper, Viktor Leis, Tobias Mühlbauer, Thomas Neumann, Manuel Then:
Get Real: How Benchmarks Fail to Represent the Real World. DBTest@SIGMOD 2018: 1:1-1:6 - [c175]Alexander van Renen, Viktor Leis, Alfons Kemper, Thomas Neumann, Takushi Hashida, Kazuichi Oe, Yoshiyasu Doi, Lilian Harada, Mitsuru Sato:
Managing Non-Volatile Memory in Database Systems. SIGMOD Conference 2018: 1541-1555 - [i9]Andreas Kipf, Harald Lang, Varun Pandey, Raul Alexandru Persa, Peter A. Boncz, Thomas Neumann, Alfons Kemper:
Adaptive Geospatial Joins for Modern Hardware. CoRR abs/1802.09488 (2018) - [i8]Andreas Kipf, Thomas Kipf, Bernhard Radke, Viktor Leis, Peter A. Boncz, Alfons Kemper:
Learned Cardinalities: Estimating Correlated Joins with Deep Learning. CoRR abs/1809.00677 (2018) - 2017
- [j70]Manuel Then, Stephan Günnemann, Alfons Kemper, Thomas Neumann:
Efficient Batched Distance, Closeness and Betweenness Centrality Computation in Unweighted and Weighted Graphs. Datenbank-Spektrum 17(2): 169-182 (2017) - [j69]Franz Faerber, Alfons Kemper, Per-Åke Larson, Justin J. Levandoski, Thomas Neumann, Andrew Pavlo:
Main Memory Database Systems. Found. Trends Databases 8(1-2): 1-130 (2017) - [j68]Alfons Kemper, Viktor Leis, Thomas Neumann:
Die Evolution des Hauptspeicherdatenbanksystems HyPer - Von Transaktionen und Analytik zu Big Data sowie von der Forschung zum Technologietransfer. Inform. Spektrum 40(2): 176-179 (2017) - [j67]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:
Informatikforschung für digitale Mobilitätsplattformen - Am Beispiel des TUM Living Lab Connected Mobility. Inform. Spektrum 40(2): 180-191 (2017) - [j66]Manuel Then, Timo Kersten, Stephan Günnemann, Alfons Kemper, Thomas Neumann:
Automatic Algorithm Transformation for Efficient Multi-Snapshot Analytics on Temporal Graphs. Proc. VLDB Endow. 10(8): 877-888 (2017) - [j65]Maximilian E. Schüle, Pascal Schliski, Thomas Hutzelmann, Tobias Rosenberger, Viktor Leis, Dimitri Vorona, Alfons Kemper, Thomas Neumann:
Monopedia: Staying Single is Good Enough - The HyPer Way for Web Scale Applications. Proc. VLDB Endow. 10(12): 1921-1924 (2017) - [j64]Jan Finis, Robert Brunel, Alfons Kemper, Thomas Neumann, Norman May, Franz Färber:
Order Indexes: supporting highly dynamic hierarchical data in relational main-memory database systems. VLDB J. 26(1): 55-80 (2017) - [c174]Thomas Neumann, Viktor Leis, Alfons Kemper:
The Complete Story of Joins (in HyPer). BTW 2017: 31-50 - [c173]Manuel Then, Stephan Günnemann, Alfons Kemper, Thomas Neumann:
Efficient Batched Distance and Centrality Computation in Unweighted and Weighted Graphs. BTW 2017: 247-266 - [c172]Viktor Leis, Bernhard Radke, Andrey Gubichev, Alfons Kemper, Thomas Neumann:
Cardinality Estimation Done Right: Index-Based Join Sampling. CIDR 2017 - [c171]Nina C. Hubig, Linnea Passing, Maximilian E. Schüle, Dimitri Vorona, Alfons Kemper, Thomas Neumann:
HyPerInsight: Data Exploration Deep Inside HyPer. CIKM 2017: 2467-2470 - [c170]Moritz Kaufmann, Manuel Then, Alfons Kemper, Thomas Neumann:
Parallel Array-Based Single- and Multi-Source Breadth First Searches on Large Dense Graphs. EDBT 2017: 1-12 - [c169]Andreas Kipf, Varun Pandey, Jan Böttcher, Lucas Braun, Thomas Neumann, Alfons Kemper:
Analytics on Fast Data: Main-Memory Database Systems versus Modern Streaming Systems. EDBT 2017: 49-60 - [c168]Linnea Passing, Manuel Then, Nina C. Hubig, Harald Lang, Michael Schreier, Stephan Günnemann, Alfons Kemper, Thomas Neumann:
SQL- and Operator-centric Data Analytics in Relational Main-Memory Databases. EDBT 2017: 84-95 - [p5]Alfons Kemper, Viktor Leis, Thomas Neumann:
Die Evolution des Hauptspeicher-Datenbanksystems HyPer: Von Transaktionen und Analytik zu Big Data sowie von der Forschung zum Technologietransfer. 50 Jahre Universitäts-Informatik in München 2017: 149-154 - [p4]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:
Informatik-Forschung für digitale Mobilitätsplattformen. 50 Jahre Universitäts-Informatik in München 2017: 155-172 - 2016
- [j63]Robert Brunel, Norman May, Alfons Kemper:
Index-Assisted Hierarchical Computations in Main-Memory RDBMS. Proc. VLDB Endow. 9(12): 1065-1076 (2016) - [j62]Viktor Leis, Alfons Kemper, Thomas Neumann:
Scaling HTM-Supported Database Transactions to Many Cores. IEEE Trans. Knowl. Data Eng. 28(2): 297-310 (2016) - [c167]Viktor Leis, Florian Scheibner, Alfons Kemper, Thomas Neumann:
The ART of practical synchronization. DaMoN 2016: 3:1-3:8 - [c166]Thomas Kothmayr, Alfons Kemper, Andreas Scholz, Jörg Heuer:
Instant service choreographies for reconfigurable manufacturing systems - a demonstrator. ETFA 2016: 1-8 - [c165]Manuel Then, Moritz Kaufmann, Alfons Kemper, Thomas Neumann:
Evaluation of parallel graph loading techniques. GRADES 2016: 4 - [c164]Alfons Kemper:
HyPer beyond software: Exploiting modern hardware for main-memory database systems. ICDE Workshops 2016: 130 - [c163]Wolf Rödiger, Sam Idicula, Alfons Kemper, Thomas Neumann:
Flow-Join: Adaptive skew handling for distributed joins over high-speed networks. ICDE 2016: 1194-1205 - [c162]Mei Hsu, Alfons Kemper, Timos K. Sellis, Boris Novikov, Eljas Soisalon-Soininen:
Message from the ICDE 2016 Program Committee and general chairs. ICDE 2016: i-ii - [c161]Harald Lang, Tobias Mühlbauer, Florian Funke, Peter A. Boncz, Thomas Neumann, Alfons Kemper:
Data Blocks: Hybrid OLTP and OLAP on Compressed Storage using both Vectorization and Compilation. SIGMOD Conference 2016: 311-326 - [c160]Varun Pandey, Andreas Kipf, Dimitri Vorona, Tobias Mühlbauer, Thomas Neumann, Alfons Kemper:
High-Performance Geospatial Analytics in HyPerSpace. SIGMOD Conference 2016: 2145-2148 - 2015
- [b13]Alfons Kemper:
Datenbanksysteme - Eine Einführung, 10. Auflage. De Gruyter Studium, de Gruyter Oldenbourg 2015, ISBN 978-3-11-044375-2, pp. 1-879 - [j61]Jan Finis, Robert Brunel, Alfons Kemper, Thomas Neumann, Norman May, Franz Färber:
Indexing Highly Dynamic Hierarchical Data. Proc. VLDB Endow. 8(10): 986-997 (2015) - [j60]Viktor Leis, Kan Kundhikanjana, Alfons Kemper, Thomas Neumann:
Efficient Processing of Window Functions in Analytical SQL Queries. Proc. VLDB Endow. 8(10): 1058-1069 (2015) - [j59]Viktor Leis, Andrey Gubichev, Atanas Mirchev, Peter A. Boncz, Alfons Kemper, Thomas Neumann:
How Good Are Query Optimizers, Really?