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2020 – today
- 2025
[j5]Marcus Müller
, Lawrence Benson, Viktor Leis:
B-Trees Are Back: Engineering Fast and Pageable Node Layouts. Proc. ACM Manag. Data 3(1): 14:1-14:26 (2025)- [j4]Marcel Weisgut, Daniel Ritter, Pinar Tözün, Lawrence Benson, Tilmann Rabl:
CXL Memory Performance for In-Memory Data Processing. Proc. VLDB Endow. 18(9): 3119-3133 (2025) - [c10]Daniel Sotolongo, Daniel Mills, Tyler Akidau, Anirudh Santhiar, Attila-Péter Tóth, Botong Huang, Boyuan Zhang, Igor Belianski, Ling Geng, Matt Uhlar, Nikhil Shah, Olivia Zhou, Saras Nowak, Sasha Lionheart, Vlad Lifliand, Wendy Grus, Yiwen Zhu, Ankur Sharma, Dzmitry Pauliukevich, Enrico Sartorello, Ilaria Battiston, Ivan Kalev, Lawrence Benson, Leon Papke, Niklas Semmler, Till Merker, Yi Huang:
Streaming Democratized: Ease Across the Latency Spectrum with Delayed View Semantics and Snowflake Dynamic Tables. SIGMOD Conference Companion 2025: 622-634 - [i1]Daniel Sotolongo, Daniel Mills, Tyler Akidau, Anirudh Santhiar, Attila-Péter Tóth, Ilaria Battiston, Ankur Sharma, Botong Huang, Boyuan Zhang, Dzmitry Pauliukevich, Enrico Sartorello, Igor Belianski, Ivan Kalev, Lawrence Benson, Leon Papke, Ling Geng, Matt Uhlar, Nikhil Shah, Niklas Semmler, Olivia Zhou, Saras Nowak, Sasha Lionheart, Till Merker, Vlad Lifliand, Wendy Grus, Yi Huang, Yiwen Zhu:
Streaming Democratized: Ease Across the Latency Spectrum with Delayed View Semantics and Snowflake Dynamic Tables. CoRR abs/2504.10438 (2025) - 2024
- [b1]Lawrence Benson:
Efficient state management with persistent memory. University of Potsdam, Germany, 2024 - [c9]Lawrence Benson, Carsten Binnig, Jan-Micha Bodensohn, Federico Lorenzi, Jigao Luo, Danica Porobic, Tilmann Rabl, Anupam Sanghi, Russell Sears, Pinar Tözün, Tobias Ziegler:
Surprise Benchmarking: The Why, What, and How. DBTest@SIGMOD 2024: 1-8 - 2023
- [j3]Maximilian Böther, Lawrence Benson, Ana Klimovic, Tilmann Rabl:
Analyzing Vectorized Hash Tables Across CPU Architectures. Proc. VLDB Endow. 16(11): 2755-2768 (2023) - [c8]Lawrence Benson, Marcel Weisgut, Tilmann Rabl:
What We Can Learn from Persistent Memory for CXL. BTW 2023: 757-761 - [c7]Wang Yue, Lawrence Benson, Tilmann Rabl:
Desis: Efficient Window Aggregation in Decentralized Networks. EDBT 2023: 618-631 - [c6]Lawrence Benson, Richard Ebeling, Tilmann Rabl:
Evaluating SIMD Compiler-Intrinsics for Database Systems. VLDB Workshops 2023 - [p1]Lawrence Benson:
Effiziente Zustandsverwaltung mit Persistentem Speicher. Ausgezeichnete Informatikdissertationen 2023: 21-30 - 2022
- [j2]Lawrence Benson, Leon Papke, Tilmann Rabl:
PerMA-Bench: Benchmarking Persistent Memory Access. Proc. VLDB Endow. 15(11): 2463-2476 (2022) - [c5]Lawrence Benson, Tilmann Rabl:
Darwin: Scale-In Stream Processing. CIDR 2022 - [c4]Tobias Maltenberger, Till Lehmann, Lawrence Benson, Tilmann Rabl:
Evaluating In-Memory Hash Joins on Persistent Memory. EDBT 2022: 2:368-2:372 - 2021
- [j1]Lawrence Benson, Hendrik Makait, Tilmann Rabl:
Viper: An Efficient Hybrid PMem-DRAM Key-Value Store. Proc. VLDB Endow. 14(9): 1544-1556 (2021) - [c3]Maximilian Böther, Otto Kißig, Lawrence Benson, Tilmann Rabl:
Drop It In Like It's Hot: An Analysis of Persistent Memory as a Drop-in Replacement for NVMe SSDs. DaMoN 2021: 7:1-7:8 - [c2]Björn Daase, Lars Jonas Bollmeier, Lawrence Benson, Tilmann Rabl:
Maximizing Persistent Memory Bandwidth Utilization for OLAP Workloads. SIGMOD Conference 2021: 339-351 - 2020
- [c1]Lawrence Benson, Philipp M. Grulich, Steffen Zeuch, Volker Markl, Tilmann Rabl:
Disco: Efficient Distributed Window Aggregation. EDBT 2020: 423-426
Coauthor Index
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