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Jaerheen Yang

dblp:35/5356 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 1996
—ORCID · none

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

Systems, architecture and hardware · 1Databases, 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
Parallel and multicore computing · 100%

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

TopicWeightPapersLastEvidence papers
Query processing and optimization
join processing
0.011996
A Parallel Distributive Join Algorithm for Cube-Connected Multiprocessors · IEEE Trans. Parallel Distributed Syst. 1996
Query processing and optimization › join processing
parallel join
0.011996
A Parallel Distributive Join Algorithm for Cube-Connected Multiprocessors · IEEE Trans. Parallel Distributed Syst. 1996
Parallel and multicore computing
parallel algorithms
0.011996
A Parallel Distributive Join Algorithm for Cube-Connected Multiprocessors · IEEE Trans. Parallel Distributed Syst. 1996

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

performance analysis · 0.0
YearPublicationVenuePosition
1996 A Parallel Distributive Join Algorithm for Cube-Connected Multiprocessors
abstract
This paper presents a parallel distributive join algorithm for cube-connected multiprocessors. The performance analysis shows that the proposed algorithm has an almost linear speedup over the sequential distributive join algorithm as the number of processors increases, and its performance is comparable to that of the parallel hybrid-hash join algorithm. A big advantage of the proposed algorithm over hash-based join algorithms is that it does not have the bucket overflow problem caused by nonuniform hashing of the smaller operand relation. Moreover, the proposed algorithm can easily support the nonequijoin operation, which is very hard to implement by using hash-based join algorithms.
Soon Myoung Chung, Jaerheen Yang
IEEE Trans. Parallel Distributed Syst.2
1993 Distributive Join Algorithm for Cube-Connected Multiprocessors
Soon Myoung Chung, Jaerheen Yang
DASFAA2