VLDB 2026 Research / reviewers in the wild / expert
Mario Ludwig
dblp:147/1167
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, 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.
| Databases, data mining, and information retrieval
1 paper |
Query processing and optimization · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Distributed systems · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Query processing and optimization › parallel query processing
heterogeneous hardware query processing |
0.2 | 1 | 2014 | Demonstrating efficient query processing in heterogeneous environments · SIGMOD Conference 2014 |
Query processing and optimization
query execution |
0.2 | 1 | 2014 | Demonstrating efficient query processing in heterogeneous environments · SIGMOD Conference 2014 |
Distributed systems › distributed scheduling
operator placement |
0.2 | 1 | 2014 | Demonstrating efficient query processing in heterogeneous environments · SIGMOD Conference 2014 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Demonstrating efficient query processing in heterogeneous environmentsabstractThe 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 Conference | 3 |