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Matthias Hille

dblp:147/1188 · DBLP profile ↗
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4ranked-venue papers
1as first author
2since 2021 · last 2025
0000-0001-8816-4656ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 2 · 1 first-author · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 since 2021Databases, data management, data science and information retrieval · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
3 papers
Operating systems · 100%
Computer architecture, parallel and distributed computing, and storage systems
4 papers
Cloud and datacenter computing · 78% Distributed systems · 22%
Databases, data mining, and information retrieval
1 paper
Query processing and optimization · 100%

Topics — the 9 heaviest of 11, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cloud and datacenter computing › resource disaggregation
datacenter resource disaggregation
0.612022
Slashing the disaggregation tax in heterogeneous data centers with FractOS · EuroSys 2022
Operating systems › system security › operating system security › protection mechanism
capability-based protection
0.412019
SemperOS: A Distributed Capability System · USENIX ATC 2019
Cloud and datacenter computing › virtualization › containerization
container-based virtualization
0.312025
MettEagle: Costs and Benefits of Implementing Containers on Microkernels · OSDI 2025
Cloud and datacenter computing
virtualization
0.312025
MettEagle: Costs and Benefits of Implementing Containers on Microkernels · OSDI 2025
Query processing and optimization › parallel query processing
heterogeneous hardware query processing
0.212014
Demonstrating efficient query processing in heterogeneous environments · SIGMOD Conference 2014
Query processing and optimization
query execution
0.212014
Demonstrating efficient query processing in heterogeneous environments · SIGMOD Conference 2014
Distributed systems › distributed scheduling
operator placement
0.212014
Demonstrating efficient query processing in heterogeneous environments · SIGMOD Conference 2014
Operating systems › resource management
resource disaggregation
0.212022
Slashing the disaggregation tax in heterogeneous data centers with FractOS · EuroSys 2022
Distributed systems › distributed system architecture
distributed operating systems
0.112019
SemperOS: A Distributed Capability System · USENIX ATC 2019

Methods — techniques the papers use, named apart from their topics

FractOS · 1.1
YearPublicationVenuePosition
2025 MettEagle: Costs and Benefits of Implementing Containers on Microkernels
Till Miemietz, Viktor Reusch, Matthias Hille, Lars Wrenger, Jana Eisoldt, Jan Klötzke, Max Kurze, Adam Lackorzynski, Michael Roitzsch, Hermann Härtig
OSDI3
2022 Slashing the disaggregation tax in heterogeneous data centers with FractOS
abstract
Disaggregated heterogeneous data centers promise higher efficiency, lower total costs of ownership, and more flexibility for data-center operators. However, current software stacks can levy a high tax on application performance. Applications and OSes are designed for systems where local PCIe-connected devices are centrally managed by CPUs, but this centralization introduces unnecessary messages through the shared data-center network in a disaggregated system.
Lluís Vilanova, Lina Maudlej, Shai Bergman, Till Miemietz, Matthias Hille, Nils Asmussen, Michael Roitzsch, Hermann Härtig, Mark Silberstein
EuroSys5
2019 SemperOS: A Distributed Capability System
Matthias Hille, Nils Asmussen, Pramod Bhatotia, Hermann Härtig
USENIX ATC1
2014 Demonstrating efficient query processing in heterogeneous environments
abstract
The increasing heterogeneity in hardware systems gives developers many opportunities to add more functionality and computational power to the system. As a consequence, modern database systems will need to be able to adapt to a wide variety of heterogeneous architectures. While porting single operators to accelerator architectures is well-understood, a more generic approach is needed for the whole database system. In prior work, we presented a generic hardware-oblivious database system, where the operators can be executed on the main processor as well as on a large number of accelerator architectures. However, to achieve fully heterogeneous query processing, placement decisions are needed for the database operators. We enhance the presented system with heterogeneity-aware operator placement (HOP) to take a major step towards designing a database system that can efficiently exploit highly heterogeneous hardware environments. In this demonstration, we are focusing on the placement-integration aspect as well as presenting the resulting database system.
Tomas Karnagel, Matthias Hille, Mario Ludwig, Dirk Habich, Wolfgang Lehner, Max Heimel, Volker Markl
SIGMOD Conference2