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Viktor Leis
Person information
- affiliation: TU Munich, Germany
- affiliation (former): Friedrich Schiller University Jena, Germany
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2020 – today
- 2024
- [j40]Viktor Leis, Christian Dietrich:
Cloud-Native Database Systems and Unikernels: Reimagining OS Abstractions for Modern Hardware. Proc. VLDB Endow. 17(8): 2115-2122 (2024) - [j39]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) - [j38]Viktor Leis:
LeanStore: A High-Performance Storage Engine for NVMe SSDs. Proc. VLDB Endow. 17(12): 4536-4545 (2024) - [c47]Thomas Neumann, Viktor Leis:
A Critique of Modern SQL and a Proposal Towards a Simple and Expressive Query Language. CIDR 2024 - [c46]Benjamin Wagner, André Kohn, Peter A. Boncz, Viktor Leis:
Incremental Fusion: Unifying Compiled and Vectorized Query Execution. ICDE 2024: 462-474 - [c45]Lam-Duy Nguyen
, Viktor Leis:
Why Files If You Have a DBMS? ICDE 2024: 3878-3892 - 2023
- [j37]Viktor Leis
Virtual-Memory Assisted Buffer Management. Proc. ACM Manag. Data 1(1): 7:1-7:25 (2023) - [j36]Maximilian Kuschewski
BtrBlocks: Efficient Columnar Compression for Data Lakes. Proc. ACM Manag. Data 1(2): 118:1-118:26 (2023) - [j35]Mark Blacher
Efficient and Portable Einstein Summation in SQL. Proc. ACM Manag. Data 1(2): 121:1-121:19 (2023) - [j34]Tobias Ziegler
Design Guidelines for Correct, Efficient, and Scalable Synchronization using One-Sided RDMA. Proc. ACM Manag. Data 1(2): 131:1-131:26 (2023) - [j33]Alexander van Renen, Viktor Leis:
Cloud Analytics Benchmark. Proc. VLDB Endow. 16(6): 1413-1425 (2023) - [j32]Adnan Alhomssi, Viktor Leis:
Scalable and Robust Snapshot Isolation for High-Performance Storage Engines. Proc. VLDB Endow. 16(6): 1426-1438 (2023) - [j31]Gabriel Haas, Viktor Leis:
What Modern NVMe Storage Can Do, And How To Exploit It: High-Performance I/O for High-Performance Storage Engines. Proc. VLDB Endow. 16(9): 2090-2102 (2023) - [j30]Dominik Durner, Viktor Leis, Thomas Neumann:
Exploiting Cloud Object Storage for High-Performance Analytics. Proc. VLDB Endow. 16(11): 2769-2782 (2023) - [j29]Demian E. Vöhringer, Viktor Leis:
Write-Aware Timestamp Tracking: Effective and Efficient Page Replacement for Modern Hardware. Proc. VLDB Endow. 16(11): 3323-3334 (2023) - [c44]Adnan Alhomssi, Michael Haubenschild, Viktor Leis:
The Evolution of LeanStore. BTW 2023: 259-281 - [c43]Tobias Ziegler, Philip A. Bernstein, Viktor Leis, Carsten Binnig:
Is Scalable OLTP in the Cloud a Solved Problem? CIDR 2023 - [c42]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 - [c41]Michael Haubenschild
Lock-Free Buffer Managers Do Not Require Delayed Memory Reclamation. SiMoD@SIGMOD 2023: 1:1-1:3 - 2022
- [j28]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) - [j27]Robert Binna
Height Optimized Tries. ACM Trans. Database Syst. 47(1): 3:1-3:46 (2022) - [c40]Mark Blacher, Joachim Giesen, Sören Laue, Julien Klaus, Viktor Leis:
Machine Learning, Linear Algebra, and More: Is SQL All You Need? CIDR 2022 - [c39]Andrew Crotty, Viktor Leis, Andrew Pavlo:
Are You Sure You Want to Use MMAP in Your Database Management System? CIDR 2022 - [c38]Tobias Ziegler, Dwarakanandan Bindiganavile Mohan, Viktor Leis, Carsten Binnig
EFA: A Viable Alternative to RDMA over InfiniBand for DBMSs? DaMoN 2022: 10:1-10:5 - [c37]Wolfram Wingerath, Viktor Leis, Felix Gessert:
GI Startup Platform - Community Get Together. GI-Jahrestagung 2022: 1223 - [c36]Tobias Ziegler, Carsten Binnig
ScaleStore: A Fast and Cost-Efficient Storage Engine using DRAM, NVMe, and RDMA. SIGMOD Conference 2022: 685-699 - [c35]Adrian Vogelsgesang, Thomas Neumann, Viktor Leis, Alfons Kemper:
Efficient Evaluation of Arbitrarily-Framed Holistic SQL Aggregates and Window Functions. SIGMOD Conference 2022: 1243-1256 - 2021
- [j26]Huanchen Zhang, Hyeontaek Lim, Viktor Leis, David G. Andersen, Michael Kaminsky, Kimberly Keeton, Andrew Pavlo
Succinct range filters. Commun. ACM 64(4): 166-173 (2021) - [j25]Viktor Leis, Maximilian Kuschewski:
Towards Cost-Optimal Query Processing in the Cloud. Proc. VLDB Endow. 14(9): 1606-1612 (2021) - [j24]Tim Gubner
Optimistically Compressed Hash Tables & Strings in theUSSR. SIGMOD Rec. 50(1): 60-67 (2021) - [j23]André Kohn
Making Compiling Query Engines Practical. IEEE Trans. Knowl. Data Eng. 33(2): 597-612 (2021) - [j22]Timo Kersten
Tidy Tuples and Flying Start: fast compilation and fast execution of relational queries in Umbra. VLDB J. 30(5): 883-905 (2021) - [c34]Josef Schmeißer, Maximilian E. Schüle
B²-Tree: Cache-Friendly String Indexing within B-Trees. BTW 2021: 39-58 - [c33]Adnan Alhomssi, Viktor Leis:
Contention and Space Management in B-Trees. CIDR 2021 - [c32]Maximilian Kuschewski, Viktor Leis:
White-Box OLAP Performance Modeling for the Cloud. CIDR 2021 - [c31]Dominik Durner, Viktor Leis, Thomas Neumann:
JSON Tiles: Fast Analytics on Semi-Structured Data. SIGMOD Conference 2021: 445-458 - [c30]André Kohn, Viktor Leis, Thomas Neumann:
Building Advanced SQL Analytics From Low-Level Plan Operators. SIGMOD Conference 2021: 1001-1013 - [i5]Stratos Idreos, Viktor Leis, Kai-Uwe Sattler, Margo I. Seltzer:
Data Structures for Modern Memory and Storage Hierarchies (Dagstuhl Seminar 21283). Dagstuhl Reports 11(6): 38-53 (2021) - 2020
- [j21]Tobias Ziegler
RDMA Communciation Patterns. Datenbank-Spektrum 20(3): 199-210 (2020) - [j20]Peter A. Boncz, Thomas Neumann, Viktor Leis:
FSST: Fast Random Access String Compression. Proc. VLDB Endow. 13(11): 2649-2661 (2020) - [j19]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) - [j18]Huanchen Zhang, Hyeontaek Lim, Viktor Leis, David G. Andersen, Michael Kaminsky, Kimberly Keeton, Andrew Pavlo
Succinct Range Filters. ACM Trans. Database Syst. 45(2): 5:1-5:31 (2020) - [j17]Alexander van Renen
Building blocks for persistent memory. VLDB J. 29(6): 1223-1241 (2020) - [c29]Gabriel Haas, Michael Haubenschild, Viktor Leis:
Exploiting Directly-Attached NVMe Arrays in DBMS. CIDR 2020 - [c28]Jan Böttcher, Viktor Leis, Jana Giceva, Thomas Neumann, Alfons Kemper:
Scalable and robust latches for database systems. DaMoN 2020: 2:1-2:8 - [c27]Tim Gubner
Efficient Query Processing with Optimistically Compressed Hash Tables & Strings in the USSR. ICDE 2020: 301-312 - [c26]Philipp Fent
Low-Latency Communication for Fast DBMS Using RDMA and Shared Memory. ICDE 2020: 1477-1488 - [c25]Michael Haubenschild, Caetano Sauer, Thomas Neumann, Viktor Leis:
Rethinking Logging, Checkpoints, and Recovery for High-Performance Storage Engines. SIGMOD Conference 2020: 877-892 - [c24]Harald Lang, Alexander Beischl, Viktor Leis, Peter A. Boncz, Thomas Neumann, Alfons Kemper:
Tree-Encoded Bitmaps. SIGMOD Conference 2020: 937-967
2010 – 2019
- 2019
- [j16]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) - [j15]Viktor Leis:
Letter from the Rising Star Award Winner. IEEE Data Eng. Bull. 42(3): 91 (2019) - [j14]Jan Böttcher, Viktor Leis, Thomas Neumann, Alfons Kemper:
Scalable Garbage Collection for In-Memory MVCC Systems. Proc. VLDB Endow. 13(2): 128-141 (2019) - [j13]Huanchen Zhang, Hyeontaek Lim, Viktor Leis, David G. Andersen, Kimberly Keeton, Andrew Pavlo
Succinct Range Filters. SIGMOD Rec. 48(1): 78-85 (2019) - [c23]Dominik Durner, Viktor Leis, Thomas Neumann:
Experimental Study of Memory Allocation for High-Performance Query Processing. ADMS@VLDB 2019: 1-9 - [c22]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 - [c21]Andreas Kipf, Thomas Kipf, Bernhard Radke, Viktor Leis, Peter A. Boncz, Alfons Kemper:
Learned Cardinalities: Estimating Correlated Joins with Deep Learning. CIDR 2019 - [c20]Alexander van Renen, Lukas Vogel
Persistent Memory I/O Primitives. DaMoN 2019: 12:1-12:7 - [c19]Dominik Durner, Viktor Leis, Thomas Neumann:
On the Impact of Memory Allocation on High-Performance Query Processing. DaMoN 2019: 21:1-21:3 - [c18]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 - [i4]Alexander van Renen, Lukas Vogel, Viktor Leis, Thomas Neumann, Alfons Kemper:
Persistent Memory I/O Primitives. CoRR abs/1904.01614 (2019) - [i3]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) - [i2]Dominik Durner, Viktor Leis, Thomas Neumann:
On the Impact of Memory Allocation on High-Performance Query Processing. CoRR abs/1905.01135 (2019) - 2018
- [j12]Philipp Götze
Data Management on Non-Volatile Memory: A Perspective. Datenbank-Spektrum 18(3): 171-182 (2018) - [j11]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) - [j10]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) - [c17]Viktor Leis, Michael Haubenschild, Alfons Kemper, Thomas Neumann:
LeanStore: In-Memory Data Management beyond Main Memory. ICDE 2018: 185-196 - [c16]André Kohn, Viktor Leis, Thomas Neumann:
Adaptive Execution of Compiled Queries. ICDE 2018: 197-208 - [c15]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 - [c14]Huanchen Zhang, Hyeontaek Lim, Viktor Leis, David G. Andersen, Michael Kaminsky, Kimberly Keeton
SuRF: Practical Range Query Filtering with Fast Succinct Tries. SIGMOD Conference 2018: 323-336 - [c13]Ziqi Wang
Building a Bw-Tree Takes More Than Just Buzz Words. SIGMOD Conference 2018: 473-488 - [c12]Robert Binna, Eva Zangerle
HOT: A Height Optimized Trie Index for Main-Memory Database Systems. SIGMOD Conference 2018: 521-534 - [c11]Alexander van Renen
Managing Non-Volatile Memory in Database Systems. SIGMOD Conference 2018: 1541-1555 - [i1]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
- [j9]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) - [j8]Maximilian E. Schüle
Monopedia: Staying Single is Good Enough - The HyPer Way for Web Scale Applications. Proc. VLDB Endow. 10(12): 1921-1924 (2017) - [c10]Thomas Neumann, Viktor Leis, Alfons Kemper:
The Complete Story of Joins (in HyPer). BTW 2017: 31-50 - [c9]Viktor Leis:
Query Processing and Optimization in Modern Database Systems. BTW 2017: 507-516 - [c8]Viktor Leis, Bernhard Radke, Andrey Gubichev, Alfons Kemper, Thomas Neumann:
Cardinality Estimation Done Right: Index-Based Join Sampling. CIDR 2017 - [p1]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 - 2016
- [b1]Viktor Leis:
Query Processing and Optimization in Modern Database Systems. Technical University Munich, Germany, 2016 - [j7]Viktor Leis, Alfons Kemper, Thomas Neumann
Scaling HTM-Supported Database Transactions to Many Cores. IEEE Trans. Knowl. Data Eng. 28(2): 297-310 (2016) - [c7]Viktor Leis, Florian Scheibner, Alfons Kemper, Thomas Neumann
The ART of practical synchronization. DaMoN 2016: 3:1-3:8 - 2015
- [j6]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) - [j5]Viktor Leis, Andrey Gubichev, Atanas Mirchev, Peter A. Boncz, Alfons Kemper, Thomas Neumann:
How Good Are Query Optimizers, Really? Proc. VLDB Endow. 9(3): 204-215 (2015) - 2014
- [j4]Florian Funke, Alfons Kemper, Tobias Mühlbauer, Thomas Neumann
HyPer Beyond Software: Exploiting Modern Hardware for Main-Memory Database Systems. Datenbank-Spektrum 14(3): 173-181 (2014) - [j3]Thomas Neumann, Viktor Leis:
Compiling Database Queries into Machine Code. IEEE Data Eng. Bull. 37(1): 3-11 (2014) - [c6]Viktor Leis, Alfons Kemper, Thomas Neumann
Exploiting hardware transactional memory in main-memory databases. ICDE 2014: 580-591 - [c5]Viktor Leis, Peter A. Boncz, Alfons Kemper, Thomas Neumann
Morsel-driven parallelism: a NUMA-aware query evaluation framework for the many-core age. SIGMOD Conference 2014: 743-754 - 2013
- [j2]Alfons Kemper, Thomas Neumann, Jan Finis, Florian Funke, Viktor Leis, Henrik Mühe, Tobias Mühlbauer, Wolf Rödiger:
Processing in the Hybrid OLTP & OLAP Main-Memory Database System HyPer. IEEE Data Eng. Bull. 36(2): 41-47 (2013) - [c4]Viktor Leis, Alfons Kemper, Thomas Neumann
The adaptive radix tree: ARTful indexing for main-memory databases. ICDE 2013: 38-49 - [c3]Harald Lang, Viktor Leis, Martina-Cezara Albutiu, Thomas Neumann, Alfons Kemper:
Massively Parallel NUMA-aware Hash Joins. IMDM@VLDB 2013: 1-12 - [c2]Harald Lang, Viktor Leis, Martina-Cezara Albutiu, Thomas Neumann
Massively Parallel NUMA-Aware Hash Joins. IMDM@VLDB (Revised Selected Papers) 2013: 3-14 - 2012
- [j1]Alfons Kemper, Thomas Neumann, Florian Funke, Viktor Leis, Henrik Mühe:
HyPer: Adapting Columnar Main-Memory Data Management for Transactional AND Query Processing. IEEE Data Eng. Bull. 35(1): 46-51 (2012) - [c1]Pit Fender, Guido Moerkotte, Thomas Neumann
Effective and Robust Pruning for Top-Down Join Enumeration Algorithms. ICDE 2012: 414-425
Coauthor Index
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