Lasse Thostrup

Orcid: 0009-0006-7243-5507

According to our database1, Lasse Thostrup authored at least 14 papers between 2019 and 2024.

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Bibliography

2024
Zero-sided RDMA: Network-driven Data Shuffling for Disaggregated Heterogeneous Cloud DBMSs.
Proc. ACM Manag. Data, February, 2024

Towards Network-Accelerated Databases.
PhD thesis, 2024

2023
Databases on Modern Networks: A Decade of Research that now comes into Practice.
Proc. VLDB Endow., 2023

Distributed GPU Joins on Fast RDMA-capable Networks.
Proc. ACM Manag. Data, 2023

Zero-sided RDMA: Network-driven Data Shuffling.
Proceedings of the 19th International Workshop on Data Management on New Hardware, 2023

2022
P4DB - The Case for In-Network OLTP (Extended Technical Report).
CoRR, 2022

P4DB - The Case for In-Network OLTP.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

A DBMS-centric Evaluation of BlueField DPUs on Fast Networks.
Proceedings of the International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures, 2022

2021
DFI: The Data Flow Interface for High-Speed Networks.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Scalable and Flexible High-Performance In-Network Processing of Hash Joins in Distributed Databases.
Proceedings of the International Conference on Field-Programmable Technology, 2021

Exploiting 3D Memory for Accelerated In-Network Processing of Hash Joins in Distributed Databases.
Proceedings of the Applied Reconfigurable Computing. Architectures, Tools, and Applications, 2021

2020
DBMS Fitting: Why should we learn what we already know?
Proceedings of the 10th Conference on Innovative Data Systems Research, 2020

2019
DPI: The Data Processing Interface for Modern Networks.
Proceedings of the 9th Biennial Conference on Innovative Data Systems Research, 2019

High-Performance In-Network Data Processing.
Proceedings of the 10th International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures, 2019


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