Philipp Fent, M.Sc.

Address: Technische Universität München
Institut für Informatik – Lehrstuhl XXV (I25)
Boltzmannstr. 3
85748 Garching
Room:
Raumplan
02.11.040
Phone: +49 (0)89 / 289-17263
E-Mail: fent@in.tum.de
Office Hours: Please mail ahead for an appointment

Research Area

  • Umbra: A Flash‑Based Database System with In-Memory Performance
  • Data Processing on Modern Hardware

Publications

Practical Planning and Execution of Groupjoin and Nested Aggregates
Philipp Fent, Altan Birler, Thomas Neumann
VLDB Journal
Efficiently Compiling Dynamic Code for Adaptive Query Processing
Tobias Schmidt, Philipp Fent, Thomas Neumann
ADMS'22 at VLDB 2022
What Are You Waiting For? Use Coroutines for Asynchronous I/O to Hide I/O Latencies and Maximize the Read Bandwidth!
Leonard von Merzljak, Philipp Fent, Jana Giceva
ADMS'22 at VLDB 2022
A Practical Approach to Groupjoin and Nested Aggregates
Philipp Fent, Thomas Neumann
VLDB 2021
One Buffer Manager to Rule Them All: Using Distributed Memory with Cache Coherence over RDMA
Magdalena Pröbstl, Philipp Fent, Maximilian Schüle, Moritz Sichert, Thomas Neumann, Alfons Kemper
ADMS'21 at VLDB 2021
A Tailored Regression for Learned Indexes: Logarithmic Error Regression
Martin Eppert, Philipp Fent, Thomas Neumann
aiDM'21 at SIGMOD 2021
START – Self-Tuning Adaptive Radix Tree
Philipp Fent, Michael Jungmair, Andreas Kipf, Thomas Neumann
SMDB 2020 at ICDE 2020
Low-Latency Communication for Fast DBMS Using RDMA and Shared Memory
Philipp Fent, Alexander van Renen, Andreas Kipf, Viktor Leis, Thomas Neumann, Alfons Kemper
ICDE 2020
Optimizing Network Latency for Transactions
Master's Thesis, TU Munich, 2018

Teaching

Winter 2022/23: Cloud-Based Data Processing
Summer 2022: Database Systems on Modern CPU Architectures
Winter 2021/22: Seminar: Techniques for implementing main memory database systems
Summer 2021: Database Systems on Modern CPU Architectures
Winter 2020/21: Seminar: Techniques for implementing main memory database systems
Summer 2020: Database Systems on Modern CPU Architectures
Summer 2019: Database Systems on Modern CPU Architectures
 

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