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Victor E. Mendia

dblp:58/4363 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1992
—ORCID · none

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

Systems, architecture and hardware · 1 · 1 first-author

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.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Interconnection networks and networks-on-chip · 78% Parallel and multicore computing · 22%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Interconnection networks and networks-on-chip › broadcasting
broadcast algorithm
0.011992
Optimal Broadcasting on the Star Graph · IEEE Trans. Parallel Distributed Syst. 1992
Interconnection networks and networks-on-chip
network topology
0.011992
Optimal Broadcasting on the Star Graph · IEEE Trans. Parallel Distributed Syst. 1992
Parallel and multicore computing
parallel algorithms
0.011992
Optimal Broadcasting on the Star Graph · IEEE Trans. Parallel Distributed Syst. 1992
Interconnection networks and networks-on-chip › network topology › cayley graph
star graph
0.011992
Optimal Broadcasting on the Star Graph · IEEE Trans. Parallel Distributed Syst. 1992
Interconnection networks and networks-on-chip › broadcasting
one-to-all broadcasting
0.011992
Optimal Broadcasting on the Star Graph · IEEE Trans. Parallel Distributed Syst. 1992
Interconnection networks and networks-on-chip
routing algorithms
0.011992
Optimal Broadcasting on the Star Graph · IEEE Trans. Parallel Distributed Syst. 1992

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

recursive partitioning · 0.0optimality proof · 0.0
YearPublicationVenuePosition
1992 Optimal Broadcasting on the Star Graph
abstract
The star graph has been show to be an attractive alternative to the widely used n-cube. Like the n-cube, the star graph possesses rich structure and symmetry as well as fault tolerant capabilities, but has a smaller diameter and degree. However, very few algorithms exists to show its potential as a multiprocessor interconnection network. Many fast and efficient parallel algorithms require broadcasting as a basic step. An optimal algorithm for one-to-all broadcasting in the star graph is proposed. The algorithm can broadcast a message to N processors in O(log/sub 2/ N) time. The algorithm exploits the rich structure of the star graph and works by recursively partitioning the original star graph into smaller star graphs. In addition, an optimal all-to-all broadcasting algorithm is developed.>
Victor E. Mendia, Dilip Sarkar
IEEE Trans. Parallel Distributed Syst.1