EDBT 2026 Demo / reviewers in the wild / expert
Daniel Thureen
dblp:09/858
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1991
—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 |
Hardware accelerators and domain-specific architectures · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Query processing and optimization
join processing |
0.0 | 1 | 1991 | Domain Vector Accelerator for Relational Operations · ICDE 1991 |
Hardware accelerators and domain-specific architectures › database accelerator
database operation accelerator |
0.0 | 1 | 1991 | Domain Vector Accelerator for Relational Operations · ICDE 1991 |
Methods — techniques the papers use, named apart from their topics
domain vector acceleration · 0.0bit-vector indexing · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1991 | Domain Vector Accelerator for Relational OperationsabstractA fast method is described for performing relational operations and, in particular, for an equijoin between two relations that stand in a one-to-many relationship. The method is based on a bit-vector technique called domain vector acceleration (DVA). The approach to join acceleration is described and compared analytically with two other join accelerators, hybrid-hash join and join indices. Results show that using domain vectors for simple, binary equijoins between very large tables significantly improves the efficiency of the equijoin operation. Domain vectors also reduce the amount of data that must be cached on disk, relative to join indices and materialized views. DVA can be applied to a wide variety of relational operations, including select, interest, union, semijoin and outer join.> William Perrizo, James Gustafson, Daniel Thureen, David Wenberg |
ICDE | 3 |