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Mario Ludwig

dblp:147/1167 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
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
YearPublicationVenuePosition
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 Conference3