Philipp Götze

Orcid: 0000-0002-5076-5007

According to our database1, Philipp Götze authored at least 15 papers between 2016 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
Transactional and analytical data management on persistent memory.
PhD thesis, 2022

Selective caching: a persistent memory approach for multi-dimensional index structures.
Distributed Parallel Databases, 2022

2021
JIT happens: Transactional Graph Processing in Persistent Memory meets Just-In-Time Compilation.
Proceedings of the 24th International Conference on Extending Database Technology, 2021

Instant Graph Query Recovery on Persistent Memory.
Proceedings of the 17th International Workshop on Data Management on New Hardware, 2021

2020
Designing an Event Store for a Modern Three-layer Storage Hierarchy.
Datenbank-Spektrum, 2020

Data structure primitives on persistent memory: an evaluation.
Proceedings of the 16th International Workshop on Data Management on New Hardware, 2020

2019
Snapshot Isolation for Transactional Stream Processing.
Proceedings of the Advances in Database Technology, 2019

Query Planning for Transactional Stream Processing on Heterogeneous Hardware.
Proceedings of the Datenbanksysteme für Business, 2019

2018
Data Management on Non-Volatile Memory: A Perspective.
Datenbank-Spektrum, 2018

An NVM-Aware Storage Layout for Analytical Workloads.
Proceedings of the 34th IEEE International Conference on Data Engineering Workshops, 2018

2017
A Cost Model for Data Stream Processing on Modern Hardware.
Proceedings of the International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures, 2017

Big Spatial Data Processing Frameworks: Feature and Performance Evaluation.
Proceedings of the 20th International Conference on Extending Database Technology, 2017

The STARK Framework for Spatio-Temporal Data Analytics on Spark.
Proceedings of the Datenbanksysteme für Business, 2017

2016
Stream processing platforms for analyzing big dynamic data.
it Inf. Technol., 2016

Rewriting and Code Generation for Dataflow Programs.
Proceedings of the 28th GI-Workshop Grundlagen von Datenbanken, Nörten Hardenberg, 2016


  Loading...