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Ainur Smagulova

dblp:289/1423 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2021
—ORCID · none

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

Databases, data management, data science and information retrieval · 1 · 1 first-author · 1 since 2021

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
Parallel and multicore computing · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Query processing and optimization
join processing
0.512021
Vertex-centric Parallel Computation of SQL Queries · SIGMOD Conference 2021
Query processing and optimization › join processing
parallel join
0.512021
Vertex-centric Parallel Computation of SQL Queries · SIGMOD Conference 2021
Query processing and optimization
parallel query processing
0.512021
Vertex-centric Parallel Computation of SQL Queries · SIGMOD Conference 2021

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

vertex-centric programming · 1.0
YearPublicationVenuePosition
2021 Vertex-centric Parallel Computation of SQL Queries
abstract
We present a scheme for parallel execution of SQL queries on top of any vertex-centric BSP graph processing engine. The scheme comprises a graph encoding of relational instances and a vertex program specification of our algorithm called TAG-join, which matches the theoretical communication and computation complexity of state-of-the-art join algorithms. When run on top of the vertex-centric TigerGraph database engine on a single multi-core server, TAG-join exploits thread parallelism and is competitive with (and often outperforms) reference RDBMSs on the TPC benchmarks they are traditionally tuned for. In a distributed cluster, TAG-join outperforms the popular Spark SQL engine.
Ainur Smagulova, Alin Deutsch
SIGMOD Conference1