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Justus Henneberg, Felix Schuhknecht, Rosina Kharal, Trevor Brown
More Bang For Your Buck(et): Fast and Space-efficient Hardware-accelerated Coarse-granular Indexing on GPUs
ICDE 2025
Reza Salkhordeh, Felix Schuhknecht, Hossein Asadi, Steffen Eiden, André Brinkmann
No Time to Halt: In-Situ Analysis for Large-Scale Data Processing via Virtual Snapshotting
EDBT 2025
Oliver Nief, Justus Henneberg, Felix Schuhknecht
The Gather Join: Efficiently Aligning Atmospheric Datasets in Apache Spark
BPOD 2024 Workshop @ IEEE BigData 2024
Nick Rassau
Towards Holistic Query Optimization for Datalog
VLDB 2024 PhD Workshop
Justus Henneberg, Felix Schuhknecht, Rosina Kharal, Trevor Brown
More Bang For Your Buck(et): Fast and Space-efficient Hardware-accelerated Coarse-granular Indexing on GPUs
arXiv: 2406.03965 [cs.DB]
Felix Schuhknecht
Taking the Shortcut: Actively Incorporating the Virtual Memory Index of the OS to Hardware-Accelerate Database Indexing
CIDR 2024
Justus Henneberg, Felix Schuhknecht
RTIndeX: Exploiting Hardware-Accelerated GPU Raytracing for Database Indexing
PVLDB Volume 16, No. 13/VLDB 2024
Felix Schuhknecht, Justus Henneberg
Accelerating Main-Memory Table Scans with Partial Virtual Views
SIGMOD DaMoN 2023
Felix Schuhknecht, Justus Henneberg
Why Your Experimental Results Might Be Wrong
SIGMOD DaMoN 2023
Justus Henneberg, Felix Schuhknecht
RTIndeX: Exploiting Hardware-Accelerated GPU Raytracing for Database Indexing
arXiv: 2303.01139 [cs.DB]
Felix Schuhknecht, Tamjidul Islam
Inter-Query Parallelism on Heterogeneous Multi-Core CPUs
Novel Data Management Ideas on Heterogeneous Hardware Architectures (NoDMC) Workshop 2023
Felix Schuhknecht, Simon Jörz
The Easiest Way of Turning your Relational Database into a Blockchain -- and the Cost of Doing So
BTW 2023
Alexander Kerth, Felix Schuhknecht, Lukas Pensel, Justus Henneberg
Better Safe than Sorry: Visualizing, Predicting, and Successfully Guiding Courses of Study
BTW 2023 (Demo-Track)
Felix Schuhknecht, Justus Henneberg
Towards Adaptive Storage Views in Virtual Memory (Abstract)
CIDR 2023
Felix Schuhknecht, Simon Jörz
The Easiest Way of Turning your Relational Database into a Blockchain -- and the Cost of Doing So
arXiv: 2210.04484 [cs.DB]
Felix Schuhknecht, Justus Henneberg
Towards Adaptive Storage Views in Virtual Memory
arXiv:2209.01635 [cs.DB]
Justus Henneberg, Felix Schuhknecht, Philipp Reutter, Nils Brast, Peter Spichtinger
Northlight: Declarative and Optimized Analysis of Atmospheric Datasets
in SparkSQL
SSDBM 2022
Justus Henneberg, Felix Schuhknecht, Philipp Reutter, Nils Brast, Peter Spichtinger
Northlight: Declarative and Optimized Analysis of Atmospheric Datasets
in SparkSQL
arXiv:2109.08053 [cs.DB]
Felix Schuhknecht, Aaron Priesterroth, Justus Henneberg, Reza Salkhordeh
AnyOLAP: Analytical Processing of Arbitrary Data-Intensive Applications without ETL
VLDB 2021 Demonstrations
Felix Schuhknecht
Talking Blockchains: The Perspective of a Database Researcher
BlockDM 2021
Felix Martin Schuhknecht, Ankur Sharma, Jens Dittrich, Divya Agrawal
chainifyDB: How to get rid of your Blockchain and use your DBMS instead.
CIDR 2021
Felix Martin Schuhknecht, Ankur Sharma, Jens Dittrich, Divya Agrawal
ChainifyDB: How to Blockchainify any Data Management System
arXiv:1912.04820 [cs.DB]
Ankur Sharma, Felix Martin Schuhknecht, Divya Agrawal, Jens Dittrich
Blurring the Lines between Blockchains and Database Systems: the Case of Hyperledger Fabric
SIGMOD 2019
Ankur Sharma, Felix Martin Schuhknecht, Divya Agrawal, Jens Dittrich
How to Databasify a Blockchain: the Case of Hyperledger Fabric
arXiv:1810.13177 [cs.DC]
Immanuel Haffner, Felix Martin Schuhknecht, Jens Dittrich
An Analysis and Comparison of Database Cracking Kernels
SIGMOD DaMoN 2018 .
Ankur Sharma, Felix Martin Schuhknecht, Jens Dittrich
Accelerating Analytical Processing in MVCC using Fine-Granular High-Frequency Virtual Snapshotting
SIGMOD 2018 .
Ankur Sharma, Felix Martin Schuhknecht, Jens Dittrich
The Case for Automatic Database Administration using Deep Reinforcement Learning
arXiv:1801.05643 [cs.DB] .
Felix Martin Schuhknecht, Jens Dittrich, Laurent Linden
Adaptive Adaptive Indexing
ICDE 2018 .
Ankur Sharma, Felix Martin Schuhknecht, Jens Dittrich
Accelerating Analytical Procesing in MVCC using Fine-Granular High-Frequency
Virtual Snapshotting
arXiv:1709.04284 [cs.DB], September 14, 2017
Felix Martin Schuhknecht
Closing the circle of algorithmic and system-centric database optimization:
a comprehensive survey on adaptive indexing, data partitioning,
and the rewiring of virtual memory
PhD Thesis.
David Gembalczyk, Felix Martin Schuhknecht, Jens Dittrich
An Experimental Analysis of Different Key-Value Stores and Relational Databases
BTW 2017 .
Felix Martin Schuhknecht, Jens Dittrich, Ankur Sharma
RUMA has it: Rewired User-space Memory Access is Possible!
PVLDB 9(10): 768-779, VLDB 2016, New Delhi, India.
Felix Martin Schuhknecht, Alekh Jindal, Jens Dittrich
An Experimental Evaluation and Analysis of Database Cracking
The VLDB Journal (special issue on best papers of VLDB 2014).
Felix Martin Schuhknecht, Pankaj Khanchandani, Jens Dittrich
On the Surprising Difficulty of Simple Things: the Case of Radix Partitioning (Mini Paper)
PVLDB 8(9): 934-937, VLDB 2015, Hawaii, USA .
Victor Alvarez, Felix Martin Schuhknecht, Jens Dittrich, Stefan Richter
Main Memory Adaptive Indexing for Multi-core Systems
SIGMOD DaMoN 2014 .
Victor Alvarez, Felix Martin Schuhknecht, Jens Dittrich, Stefan Richter
Main Memory Adaptive Indexing for Multi-core Systems
arXiv:1404.2034 [cs.DB], April 9, 2014 .
Felix Martin Schuhknecht, Alekh Jindal, Jens Dittrich
The Uncracked Pieces in Database Cracking
PVLDB 7(2): 97-108, VLDB 2014, Hangzhou, China
VLDB 2014 Best Paper Award
Alekh Jindal, Felix Martin Schuhknecht, Jens Dittrich, Karen Khachatryan, Alexander Bunte
How Achaeans Would Construct Columns in Troy
CIDR 2013 , Asilomar, USA.
News
Our paper "More Bang For Your Buck(et): Fast and Space-efficient Hardware-accelerated Coarse-granular Indexing on GPUs" has been accepted to ICDE 2025! Nov 27, 2024
Our paper "The Gather Join: Efficiently Aligning Atmospheric Datasets in Apache Spark" has been accepted to BPOD 2024! Nov 13, 2024
Our paper "No Time to Halt: In-Situ Analysis for Large-Scale Data Processing via Virtual Snapshotting" has been accepted to EDBT 2025! Oct 02, 2024
Our paper "Towards Holistic Query Optimization for Datalog" has been accepted to the VLDB 2024 PhD Workshop! Jul 09, 2024
Our project on optimizing buffer management gets funded by the DFG over three years. We are looking for a PhD student! Dec 18, 2023
Our paper "Taking the Shortcut: Actively Incorporating the Virtual Memory Index of the OS to Hardware-Accelerate Database Indexing" has been accepted to CIDR 2024! Oct 07, 2023
Our paper "RTIndeX: Exploiting Hardware-Accelerated GPU Raytracing for Database Indexing" has been accepted to PVLDB/VLDB 2024! Aug 19, 2023
Nick Rassau will start as a PhD Student in September. Welcome to the group Nick! Aug 10, 2023
Our two papers "Accelerating Main-Memory Table Scans with Partial Virtual Views" and "Why Your Experimental Results Might Be Wrong" have been accepted at SIGMOD DaMoN 2023. Apr 17, 2023
Our Experience Report "Inter-Query Parallelism on Heterogeneous Multi-Core CPUs" has been accepted to the NoDMC 2023 Workshop. Jan 11, 2023
Our Demo "Better Safe than Sorry: Visualizing, Predicting, and Successfully Guiding Courses of Study" has been accepted to BTW 2023. Dec 15, 2022
Our Paper "The Easiest Way of Turning your Relational Database into a Blockchain -- and the Cost of Doing So" has been accepted to BTW 2023. Dec 09, 2022
Our project "Declarative Performance for Datalog", which will be a joint work with the Programming Languages Group, gets funded by the DFG for the next three years. We are looking for a PhD student! Oct 26, 2022
Check out our new preprint "Towards Adaptive Storage Views in Virtual Memory" on how to fuse indexing and storage! An abstract of the project will be presented at CIDR 2023. Sep 07, 2022
Our Paper "Northlight: Declarative and Optimized Analysis of Atmospheric Datasets in SparkSQL" has been accepted to SSDBM 2022. May 17, 2022