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Philipp Fent
Philipp Fent
Technische Universität München
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Zitiert von
Zitiert von
Jahr
Low-latency communication for fast DBMS using RDMA and shared memory
P Fent, A van Renen, A Kipf, V Leis, T Neumann, A Kemper
2020 IEEE 36th International Conference on Data Engineering (ICDE), 1477-1488, 2020
242020
One Buffer Manager to Rule Them All: Using Distributed Memory with Cache Coherence over RDMA.
M Pröbstl, P Fent, ME Schüle, M Sichert, T Neumann, A Kemper
ADMS@ VLDB, 17-26, 2021
52021
Start—self-tuning adaptive radix tree
P Fent, M Jungmair, A Kipf, T Neumann
2020 IEEE 36th International Conference on Data Engineering Workshops (ICDEW …, 2020
52020
A practical approach to groupjoin and nested aggregates
P Fent, T Neumann
Proceedings of the VLDB Endowment 14 (11), 2383-2396, 2021
42021
A Tailored Regression for Learned Indexes: Logarithmic Error Regression
M Eppert, P Fent, T Neumann
Fourth Workshop in Exploiting AI Techniques for Data Management, 9-15, 2021
42021
Practical planning and execution of groupjoin and nested aggregates
P Fent, A Birler, T Neumann
The VLDB Journal, 1-26, 2022
2022
Efficiently Compiling Dynamic Code for Adaptive Query Processing
T Schmidt, P Fent, T Neumann
What Are You Waiting For? Use Coroutines for Asynchronous I/O to Hide I/O Latencies and Maximize the Read Bandwidth!
L von Merzljak, P Fent, T Neumann, J Giceva
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