default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDCarsten Binnig
Person information
- affiliation: TU Darmstadt, Germany
- affiliation (former): Brown University
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j45]Matthias Jasny
, Lasse Thostrup, Sajjad Tamimi, Andreas Koch, Zsolt István, Carsten Binnig:
Zero-sided RDMA: Network-driven Data Shuffling for Disaggregated Heterogeneous Cloud DBMSs. Proc. ACM Manag. Data 2(1): 36:1-36:28 (2024)- [c115]Jan-Micha Bodensohn, Carsten Binnig:
Rethinking Table Retrieval from Data Lakes. aiDM@SIGMOD 2024: 2:1-2:5 - [c114]Matthias Urban, Carsten Binnig:
CAESURA: Language Models as Multi-Modal Query Planners. CIDR 2024 - [c113]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 - [c112]René Klaus Nikiel, Meghdad Mirabi, Carsten Binnig:
TrustDDL: A Privacy-Preserving Byzantine-Robust Distributed Deep Learning Framework. DSN-W 2024: 55-62 - [c111]Sven Langenecker, Christoph Sturm, Christian Schalles, Carsten Binnig:
Pythagoras: Semantic Type Detection of Numerical Data in Enterprise Data Lakes. EDBT 2024: 725-733 - [c110]Nadja Geisler, Carsten Binnig:
Towards Extending XAI for Full Data Science Pipelines. HILDA@SIGMOD 2024: 1-7 - [c109]Benjamin Hättasch, Carsten Binnig:
More of that, please: Domain Adaptation of Information Extraction through Examples & Feedback. HILDA@SIGMOD 2024: 1-7 - [c108]Roman Heinrich, Carsten Binnig, Harald Kornmayer, Manisha Luthra:
Costream: Learned Cost Models for Operator Placement in Edge-Cloud Environments. ICDE 2024: 96-109 - [c107]Pratyush Agnihotri, Boris Koldehofe, Paul Stiegele, Roman Heinrich, Carsten Binnig, Manisha Luthra:
ZERoTuNE: Learned Zero-Shot Cost Models for Parallelism Tuning in Stream Processing. ICDE 2024: 2040-2053 - [c106]Matthias Urban, Carsten Binnig:
Demonstrating CAESURA: Language Models as Multi-Modal Query Planners. SIGMOD Conference Companion 2024: 472-475 - [c105]Faeze Faghih, Tobias Ziegler, Zsolt István, Carsten Binnig:
SmartNICs in the Cloud: The Why, What and How of In-network Processing for Data-Intensive Applications. SIGMOD Conference Companion 2024: 556-560 - [c104]Carsten Binnig, Nesime Tatbul:
International Workshop on Data Management on New Hardware (DaMoN). SIGMOD Conference Companion 2024: 645-646 - [c103]Benjamin Hättasch, Carsten Binnig:
Box2Go: Collaborative Interactive Infobox Filling. WWW (Companion Volume) 2024: 1003-1006 - [e7]Carsten Binnig, Nesime Tatbul:
Proceedings of the 20th International Workshop on Data Management on New Hardware, DaMoN 2024, Santiago, Chile, 10 June 2024. ACM 2024 [contents] - [i32]Roman Heinrich, Carsten Binnig, Harald Kornmayer, Manisha Luthra:
COSTREAM: Learned Cost Models for Operator Placement in Edge-Cloud Environments. CoRR abs/2403.08444 (2024) - [i31]Adrian Lutsch, Muhammad El-Hindi, Matthias Heinrich, Daniel Ritter, Zsolt István, Carsten Binnig:
Benchmarking Analytical Query Processing in Intel SGXv2. CoRR abs/2403.11874 (2024) - [i30]Yannis Chronis, Yawen Wang, Yu Gan, Sami Abu-El-Haija, Chelsea Lin, Carsten Binnig, Fatma Özcan:
CardBench: A Benchmark for Learned Cardinality Estimation in Relational Databases. CoRR abs/2408.16170 (2024) - 2023
- [j44]Alexander Böhm, Carsten Binnig, Tilmann Rabl, Theo Härder:
Erratum to: Reviving the Workshop Series on Testing Database Systems - DBTest. Datenbank-Spektrum 23(1): 83 (2023) - [j43]Sven Langenecker, Christoph Sturm, Christian Schalles, Carsten Binnig:
SportsTables: A New Corpus for Semantic Type Detection (Extended Version). Datenbank-Spektrum 23(3): 189-197 (2023) - [j42]Lasse Thostrup, Gloria Doci, Nils Boeschen, Manisha Luthra, Carsten Binnig:
Distributed GPU Joins on Fast RDMA-capable Networks. Proc. ACM Manag. Data 1(1): 29:1-29:26 (2023) - [j41]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) - [j40]Sven Langenecker, Christoph Sturm, Christian Schalles, Carsten Binnig:
Steered Training Data Generation for Learned Semantic Type Detection. Proc. ACM Manag. Data 1(2): 201:1-201:25 (2023) - [j39]Georgia Koutrika, Jun Yang, Manos Athanassoulis, Kostas Stefanidis, Ju Fan, Abdul Quamar, Yuanyan Tian, Alekh Jindal, Carsten Binnig, Jennie Rogers, Senjuti Basu Roy, Steven Euijong Whang, Matthias Boehm, Aaron J. Elmore, Vasilis Efthymiou, Xiao Hu, Xiaofang Zhou, Alan D. Fekete:
Front Matter. Proc. VLDB Endow. 16(12) (2023) - [j38]Alberto Lerner, Carsten Binnig, Philippe Cudré-Mauroux, Rana Hussein, Matthias Jasny, Theo Jepsen, Dan R. K. Ports, Lasse Thostrup, Tobias Ziegler:
Databases on Modern Networks: A Decade of Research that now comes into Practice. Proc. VLDB Endow. 16(12): 3894-3897 (2023) - [j37]Carsten Binnig:
Technical Perspective for Skeena: Efficient and Consistent Cross-Engine Transactions. SIGMOD Rec. 52(1): 26 (2023) - [c102]Matthias Urban, Duc Dat Nguyen, Carsten Binnig:
OmniscientDB: A Large Language Model-Augmented DBMS That Knows What Other DBMSs Do Not Know. aiDM@SIGMOD 2023: 4:1-4:7 - [c101]Pratyush Agnihotri, Boris Koldehofe, Carsten Binnig, Manisha Luthra:
Zero-Shot Cost Models for Parallel Stream Processing. aiDM@SIGMOD 2023: 5:1-5:5 - [c100]Benjamin Hättasch, Jan-Micha Bodensohn, Liane Vogel, Matthias Urban, Carsten Binnig:
WannaDB: Ad-hoc SQL Queries over Text Collections. BTW 2023: 157-181 - [c99]Adrian Lutsch, Gagandeep Singh, Martin Mundt, Ragnar Mogk, Carsten Binnig:
Benchmarking the Second Generation of Intel SGX for Machine Learning Workloads. BTW 2023: 711-717 - [c98]Sven Langenecker, Christoph Sturm, Christian Schalles, Carsten Binnig:
SportsTables: A new Corpus for Semantic Type Detection. BTW 2023: 995-1008 - [c97]Tobias Ziegler, Philip A. Bernstein, Viktor Leis, Carsten Binnig:
Is Scalable OLTP in the Cloud a Solved Problem? CIDR 2023 - [c96]Matthias Jasny, Lasse Thostrup, Carsten Binnig:
Zero-sided RDMA: Network-driven Data Shuffling. DaMoN 2023: 82-85 - [c95]Benjamin Hilprecht, Christian Hammacher, Eduardo Souza dos Reis, Mohamed Abdelaal, Carsten Binnig:
DiffML: End-to-end Differentiable ML Pipelines. DEEM@SIGMOD 2023: 7:1-7:7 - [c94]Meghdad Mirabi, René Klaus Nikiel, Carsten Binnig:
SafeML: A Privacy-Preserving Byzantine-Robust Framework for Distributed Machine Learning Training. ICDM (Workshops) 2023: 207-216 - [c93]Sven Langenecker, Christoph Sturm, Christian Schalles, Carsten Binnig:
Pythagoras: Semantic Type Detection of Numerical Data Using Graph Neural Networks. LWDA 2023: 146-152 - [c92]Meghdad Mirabi, Leila Fathi, Anton Dignös, Johann Gamper, Carsten Binnig:
A New Primitive for Processing Temporal Joins. SSTD 2023: 106-109 - [c91]Ajay Dholakia, David Ellison, Miro Hodak, Debojyoti Dutta, Carsten Binnig:
Benchmarking Generative AI Performance Requires a Holistic Approach. TPCTC 2023: 34-43 - [c90]Muhammad El-Hindi, Tobias Ziegler, Carsten Binnig:
Towards Merkle Trees for High-Performance Data Systems. VDBS@SIGMOD 2023: 28-33 - [c89]Meghdad Mirabi, Carsten Binnig:
QFilter: Towards a Fine-Grained Access Control for Aggregation Query Processing over Secret Shared Data. VLDB Workshops 2023 - [c88]Liane Vogel, Carsten Binnig:
WikiDBs: A Corpus of Relational Databases From Wikidata. VLDB Workshops 2023 - [i29]Matthias Urban, Carsten Binnig:
Towards Multi-Modal DBMSs for Seamless Querying of Texts and Tables. CoRR abs/2304.13559 (2023) - [i28]Liane Vogel, Benjamin Hilprecht, Carsten Binnig:
Towards Foundation Models for Relational Databases [Vision Paper]. CoRR abs/2305.15321 (2023) - [i27]Matthias Urban, Carsten Binnig:
CAESURA: Language Models as Multi-Modal Query Planners. CoRR abs/2308.03424 (2023) - [i26]Benjamin Hilprecht, Kristian Kersting, Carsten Binnig:
SPARE: A Single-Pass Neural Model for Relational Databases. CoRR abs/2310.13581 (2023) - 2022
- [j36]Alexander Böhm, Carsten Binnig, Tilmann Rabl, Theo Härder:
Editorial. Datenbank-Spektrum 22(3): 191-193 (2022) - [j35]Muhammad El-Hindi, Ashwin Arora, Simon Karrer, Carsten Binnig:
Towards a Benchmark for Shared Databases [Vision Paper]. Datenbank-Spektrum 22(3): 227-239 (2022) - [j34]Carsten Binnig, Alexander Böhm, Tilmann Rabl, Pinar Tözün:
Reviving the Workshop Series on Testing Database Systems - DBTest. Datenbank-Spektrum 22(3): 257-260 (2022) - [j33]Benjamin Hilprecht, Carsten Binnig:
Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction. Proc. VLDB Endow. 15(11): 2361-2374 (2022) - [j32]Marius Gassen, Benjamin Hättasch, Benjamin Hilprecht, Nadja Geisler, Alexander Fraser, Carsten Binnig:
Demonstrating CAT: Synthesizing Data-Aware Conversational Agents for Transactional Databases. Proc. VLDB Endow. 15(12): 3586-3589 (2022) - [j31]Alberto Lerner, Matthias Jasny, Theo Jepsen, Carsten Binnig, Philippe Cudré-Mauroux:
DBMS Annihilator: A High-Performance Database Workload Generator in Action. Proc. VLDB Endow. 15(12): 3682-3685 (2022) - [j30]Nadja Geisler, Benjamin Hättasch, Carsten Binnig:
Demonstrating Quest: A Query-Driven Framework to Explain Classification Models on Tabular Data. Proc. VLDB Endow. 15(12): 3722-3725 (2022) - [j29]Lasse Thostrup, Jan Skrzypczak, Matthias Jasny, Tobias Ziegler, Carsten Binnig:
DFI: The Data Flow Interface for High-Speed Networks. SIGMOD Rec. 51(1): 15-22 (2022) - [j28]Tiemo Bang, Norman May, Ilia Petrov, Carsten Binnig:
The full story of 1000 cores. VLDB J. 31(6): 1185-1213 (2022) - [c87]Lasse Thostrup, Daniel Failing, Tobias Ziegler, Carsten Binnig:
A DBMS-centric Evaluation of BlueField DPUs on Fast Networks. ADMS@VLDB 2022: 1-10 - [c86]Benjamin Hilprecht, Carsten Binnig:
One Model to Rule them All: Towards Zero-Shot Learning for Databases. CIDR 2022 - [c85]Muhammad El-Hindi, Tobias Ziegler, Matthias Heinrich, Adrian Lutsch, Zheguang Zhao, Carsten Binnig:
Benchmarking the Second Generation of Intel SGX Hardware. DaMoN 2022: 5:1-5:8 - [c84]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 - [c83]Muhammad El-Hindi, Zheguang Zhao, Carsten Binnig:
Towards Decentralized Parameter Servers for Secure Federated Learning. DATA 2022: 257-269 - [c82]Roman Heinrich, Manisha Luthra, Harald Kornmayer, Carsten Binnig:
Zero-shot cost models for distributed stream processing. DEBS 2022: 85-90 - [c81]Pratyush Agnihotri, Boris Koldehofe, Carsten Binnig, Manisha Luthra:
PANDA: performance prediction for parallel and dynamic stream processing. DEBS 2022: 180-181 - [c80]Benjamin Hättasch, Carsten Binnig:
Know Better - A Clickbait Resolving Challenge. LREC 2022: 515-523 - [c79]Matthias Urban, Carsten Binnig:
Hybrid Database Operations: Learned Operations for Seamless Querying of Textual and Tabular Data. LWDA 2022: 8-11 - [c78]Nadja Geisler, Carsten Binnig:
Introducing quest: a query-driven framework to explain classification models on tabular data. HILDA@SIGMOD 2022: 2:1-2:4 - [c77]Tobias Ziegler, Carsten Binnig, Viktor Leis:
ScaleStore: A Fast and Cost-Efficient Storage Engine using DRAM, NVMe, and RDMA. SIGMOD Conference 2022: 685-699 - [c76]Nils Boeschen, Carsten Binnig:
GaccO - A GPU-accelerated OLTP DBMS. SIGMOD Conference 2022: 1003-1016 - [c75]Matthias Jasny, Lasse Thostrup, Tobias Ziegler, Carsten Binnig:
P4DB - The Case for In-Network OLTP. SIGMOD Conference 2022: 1375-1389 - [c74]Benjamin Hättasch, Jan-Micha Bodensohn, Carsten Binnig:
Demonstrating ASET: Ad-hoc Structured Exploration of Text Collections. SIGMOD Conference 2022: 2393-2396 - [e6]Ada Gavrilovska, Deniz Altinbüken, Carsten Binnig:
Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, San Francisco, California, November 7-11, 2022. ACM 2022, ISBN 978-1-4503-9414-7 [contents] - [i25]Benjamin Hilprecht, Carsten Binnig:
Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction. CoRR abs/2201.00561 (2022) - [i24]Benjamin Hättasch, Michael Truong-Ngoc, Andreas Schmidt, Carsten Binnig:
It's AI Match: A Two-Step Approach for Schema Matching Using Embeddings. CoRR abs/2203.04366 (2022) - [i23]Benjamin Hättasch, Jan-Micha Bodensohn, Carsten Binnig:
ASET: Ad-hoc Structured Exploration of Text Collections [Extended Abstract]. CoRR abs/2203.04663 (2022) - [i22]Marius Gassen, Benjamin Hättasch, Benjamin Hilprecht, Nadja Geisler, Alexander Fraser, Carsten Binnig:
Demonstrating CAT: Synthesizing Data-Aware Conversational Agents for Transactional Databases. CoRR abs/2203.14144 (2022) - [i21]Matthias Jasny, Lasse Thostrup, Tobias Ziegler, Carsten Binnig:
P4DB - The Case for In-Network OLTP (Extended Technical Report). CoRR abs/2206.00623 (2022) - [i20]Benjamin Hilprecht, Christian Hammacher, Eduardo Souza dos Reis, Mohamed Abdelaal, Carsten Binnig:
DiffML: End-to-end Differentiable ML Pipelines. CoRR abs/2207.01269 (2022) - [i19]Roman Heinrich, Manisha Luthra, Harald Kornmayer, Carsten Binnig:
Zero-Shot Cost Models for Distributed Stream Processing. CoRR abs/2207.03823 (2022) - 2021
- [j27]Erfan Zamanian, Julian Shun, Carsten Binnig, Tim Kraska:
Chiller: Contention-centric Transaction Execution and Data Partitioning for Modern Networks. SIGMOD Rec. 50(1): 15-22 (2021) - [c73]Johannes Wirth, Jaco A. Hofmann, Lasse Thostrup, Andreas Koch, Carsten Binnig:
Exploiting 3D Memory for Accelerated In-Network Processing of Hash Joins in Distributed Databases. ARC 2021: 18-32 - [c72]Sven Langenecker, Christoph Sturm, Christian Schalles, Carsten Binnig:
Towards Learned Metadata Extraction for Data Lakes. BTW 2021: 325-336 - [c71]Tiemo Bang, Norman May, Ilia Petrov, Carsten Binnig:
AnyDB: An Architecture-less DBMS for Any Workload. CIDR 2021 - [c70]Nils Boeschen, Carsten Binnig:
GalOP: Towards a GPU-accelerated OLTP DBMS. DaMoN 2021: 9:1-9:3 - [c69]Benjamin Hättasch, Nadja Geisler, Carsten Binnig:
Netted?! How to Improve the Usefulness of Spider & Co. DESIRES 2021: 38-43 - [c68]Muhammad El-Hindi, Zheguang Zhao, Carsten Binnig:
ACID-V: Towards a New Class of DBMSs for Data Sharing. Poly/DMAH@VLDB 2021: 60-64 - [c67]Johannes Wirth, Jaco A. Hofmann, Lasse Thostrup, Carsten Binnig, Andreas Koch:
Scalable and Flexible High-Performance In-Network Processing of Hash Joins in Distributed Databases. FPT 2021: 1-9 - [c66]Benjamin Hilprecht, Carsten Binnig:
ReStore - Neural Data Completion for Relational Databases. SIGMOD Conference 2021: 710-722 - [c65]Lasse Thostrup, Jan Skrzypczak, Matthias Jasny, Tobias Ziegler, Carsten Binnig:
DFI: The Data Flow Interface for High-Speed Networks. SIGMOD Conference 2021: 1825-1837 - [i18]Benjamin Hilprecht, Carsten Binnig:
One Model to Rule them All: Towards Zero-Shot Learning for Databases. CoRR abs/2105.00642 (2021) - [i17]Benjamin Hilprecht, Carsten Binnig:
ReStore - Neural Data Completion for Relational Databases. CoRR abs/2105.12457 (2021) - 2020
- [j26]Tobias Ziegler, Viktor Leis, Carsten Binnig:
RDMA Communciation Patterns. Datenbank-Spektrum 20(3): 199-210 (2020) - [j25]Sounak Kar, Robin Rehrmann, Arpan Mukhopadhyay, Bastian Alt, Florin Ciucu, Heinz Koeppl, Carsten Binnig, Amr Rizk:
On the Throughput Optimization in Large-scale Batch-processing Systems. Perform. Evaluation 144: 102142 (2020) - [j24]Benjamin Hilprecht, Andreas Schmidt, Moritz Kulessa, Alejandro Molina, Kristian Kersting, Carsten Binnig:
DeepDB: Learn from Data, not from Queries! Proc. VLDB Endow. 13(7): 992-1005 (2020) - [j23]Robin Rehrmann, Carsten Binnig, Alexander Böhm, Kihong Kim, Wolfgang Lehner:
Sharing Opportunities for OLTP Workloads in Different Isolation Levels. Proc. VLDB Endow. 13(10): 1696-1708 (2020) - [j22]Sounak Kar, Robin Rehrmann, Arpan Mukhopadhyay, Bastian Alt, Florin Ciucu, Heinz Koeppl, Carsten Binnig, Amr Rizk:
On the Throughput Optimization in Large-Scale Batch-Processing Systems. SIGMETRICS Perform. Evaluation Rev. 48(3): 128-129 (2020) - [c64]Benjamin Hilprecht, Carsten Binnig, Tiemo Bang, Muhammad El-Hindi, Benjamin Hättasch, Aditya Khanna, Robin Rehrmann, Uwe Röhm, Andreas Schmidt, Lasse Thostrup, Tobias Ziegler:
DBMS Fitting: Why should we learn what we already know? CIDR 2020 - [c63]Tiemo Bang, Norman May, Ilia Petrov, Carsten Binnig:
The tale of 1000 Cores: an evaluation of concurrency control on real(ly) large multi-socket hardware. DaMoN 2020: 3:1-3:9 - [c62]Benjamin Hättasch, Nadja Geisler, Christian M. Meyer, Carsten Binnig:
Summarization Beyond News: The Automatically Acquired Fandom Corpora. LREC 2020: 6700-6708 - [c61]Robin Rehrmann, Martin Keppner, Wolfgang Lehner, Carsten Binnig, Arne Schwarz:
Workload merging potential in SAP Hybris. DBTest@SIGMOD 2020: 7:1-7:6 - [c60]Benjamin Hilprecht, Carsten Binnig, Uwe Röhm:
Learning a Partitioning Advisor for Cloud Databases. SIGMOD Conference 2020: 143-157 - [c59]Matthias Jasny, Tobias Ziegler, Tim Kraska, Uwe Röhm, Carsten Binnig:
DB4ML - An In-Memory Database Kernel with Machine Learning Support. SIGMOD Conference 2020: 159-173 - [c58]Erfan Zamanian, Julian Shun, Carsten Binnig, Tim Kraska:
Chiller: Contention-centric Transaction Execution and Data Partitioning for Modern Networks. SIGMOD Conference 2020: 511-526 - [c57]Philipp Eichmann, Emanuel Zgraggen, Carsten Binnig, Tim Kraska:
IDEBench: A Benchmark for Interactive Data Exploration. SIGMOD Conference 2020: 1555-1569 - [c56]Leilani Battle, Philipp Eichmann, Marco Angelini, Tiziana Catarci, Giuseppe Santucci, Yukun Zheng, Carsten Binnig, Jean-Daniel Fekete, Dominik Moritz:
Database Benchmarking for Supporting Real-Time Interactive Querying of Large Data. SIGMOD Conference 2020: 1571-1587 - [c55]Tiemo Bang, Ismail Oukid, Norman May, Ilia Petrov, Carsten Binnig:
Robust Performance of Main Memory Data Structures by Configuration. SIGMOD Conference 2020: 1651-1666 - [c54]Nathaniel Weir, Prasetya Ajie Utama, Alex Galakatos, Andrew Crotty, Amir Ilkhechi, Shekar Ramaswamy, Rohin Bhushan, Nadja Geisler, Benjamin Hättasch, Steffen Eger, Ugur Çetintemel, Carsten Binnig:
DBPal: A Fully Pluggable NL2SQL Training Pipeline. SIGMOD Conference 2020: 2347-2361 - [c53]Benjamin Hättasch, Michael Truong-Ngoc, Andreas Schmidt, Carsten Binnig:
It's AI Match: A Two-Step Approach for Schema Matching Using Embeddings. AIDB@VLDB 2020 - [i16]Tiemo Bang, Norman May, Ilia Petrov, Carsten Binnig:
AnyDB: An Architecture-less DBMS for Any Workload. CoRR abs/2009.02258 (2020) - [i15]Sounak Kar, Robin Rehrmann, Arpan Mukhopadhyay, Bastian Alt, Florin Ciucu, Heinz Koeppl, Carsten Binnig, Amr Rizk:
On the Throughput Optimization in Large-Scale Batch-Processing Systems. CoRR abs/2009.09433 (2020)
2010 – 2019
- 2019
- [j21]Muhammad El-Hindi, Carsten Binnig, Arvind Arasu, Donald Kossmann, Ravi Ramamurthy:
BlockchainDB - A Shared Database on Blockchains. Proc. VLDB Endow. 12(11): 1597-1609 (2019) - [j20]Lukas Berg, Tobias Ziegler, Carsten Binnig, Uwe Röhm:
ProgressiveDB - Progressive Data Analytics as a Middleware. Proc. VLDB Endow. 12(12): 1814-1817 (2019) - [j19]Kayhan Dursun, Carsten Binnig, Ugur Çetintemel, Garret Swart, Weiwei Gong:
A Morsel-Driven Query Execution Engine for Heterogeneous Multi-Cores. Proc. VLDB Endow. 12(12): 2218-2229 (2019) - [c52]Jaco A. Hofmann, Lasse Thostrup, Tobias Ziegler, Carsten Binnig, Andreas Koch:
High-Performance In-Network Data Processing. ADMS@VLDB 2019: 64-73 - [c51]Carsten Binnig:
DPI: The Data Processing Interface for Modern Networks (Extended Abstract). BTW (Workshops) 2019: 29-30 - [c50]Tobias Ziegler, Carsten Binnig, Uwe Röhm:
Skew-resilient Query Processing for Fast Networks. BTW (Workshops) 2019: 81-85 - [c49]Gustavo Alonso, Carsten Binnig, Ippokratis Pandis, Kenneth Salem, Jan Skrzypczak, Ryan Stutsman, Lasse Thostrup, Tianzheng Wang, Zeke Wang, Tobias Ziegler:
DPI: The Data Processing Interface for Modern Networks. CIDR 2019 - [c48]Abdallah Salama, Alexander Linke, Igor Pessoa Rocha, Carsten Binnig:
XAI: A Middleware for Scalable AI. DATA 2019: 109-120