default search action
Viktor Leis
Person information
- affiliation: TU Munich, Germany
- affiliation (former): Friedrich Schiller University Jena, Germany
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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, Adnan Alhomssi, Tobias Ziegler, Yannick Loeck, Christian Dietrich:
Virtual-Memory Assisted Buffer Management. Proc. ACM Manag. Data 1(1): 7:1-7:25 (2023) - [j36]Maximilian Kuschewski, David Sauerwein, Adnan Alhomssi, Viktor Leis:
BtrBlocks: Efficient Columnar Compression for Data Lakes. Proc. ACM Manag. Data 1(2): 118:1-118:26 (2023) - [j35]Mark Blacher, Julien Klaus, Christoph Staudt, Sören Laue, Viktor Leis, Joachim Giesen:
Efficient and Portable Einstein Summation in SQL. Proc. ACM Manag. Data 1(2): 121:1-121:19 (2023) - [j34]Tobias Ziegler, Jacob Nelson-Slivon, Viktor Leis, Carsten Binnig:
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, Viktor Leis:
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, Eva Zangerle, Martin Pichl, Günther Specht, Viktor Leis:
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, Viktor Leis:
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, Viktor Leis, Peter A. Boncz:
Optimistically Compressed Hash Tables & Strings in theUSSR. SIGMOD Rec. 50(1): 60-67 (2021) - [j23]André Kohn, Viktor Leis, Thomas Neumann:
Making Compiling Query Engines Practical. IEEE Trans. Knowl. Data Eng. 33(2): 597-612 (2021) - [j22]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) - [c34]Josef Schmeißer, Maximilian E. Schüle, Viktor Leis, Thomas Neumann, Alfons Kemper:
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, Viktor Leis, Carsten Binnig:
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, Lukas Vogel, Viktor Leis, Thomas Neumann, Alfons Kemper:
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, Viktor Leis, Peter A. Boncz:
Efficient Query Processing with Optimistically Compressed Hash Tables & Strings in the USSR. ICDE 2020: 301-312 - [c26]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 - [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, Viktor Leis, Thomas Neumann, Alfons Kemper:
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, Alexander van Renen, Lucas Lersch, Viktor Leis, Ismail Oukid:
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, Andrew Pavlo:
SuRF: Practical Range Query Filtering with Fast Succinct Tries. SIGMOD Conference 2018: 323-336 - [c13]Ziqi Wang, Andrew Pavlo, Hyeontaek Lim, Viktor Leis, Huanchen Zhang, Michael Kaminsky, David G. Andersen:
Building a Bw-Tree Takes More Than Just Buzz Words. SIGMOD Conference 2018: 473-488 - [c12]Robert Binna, Eva Zangerle, Martin Pichl, Günther Specht, Viktor Leis:
HOT: A Height Optimized Trie Index for Main-Memory Database Systems. SIGMOD Conference 2018: 521-534 - [c11]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 - [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, 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) - [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, Viktor Leis:
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, Alfons Kemper:
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, Viktor Leis:
Effective and Robust Pruning for Top-Down Join Enumeration Algorithms. ICDE 2012: 414-425
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-15 21:39 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint