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C. Ceron

dblp:95/4936 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1998
—ORCID · none

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

Systems, architecture and hardware · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 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.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Parallel and multicore computing · 100%

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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › phylogenetics › phylogenetic inference
maximum likelihood estimation		 0.011998
New phylogenetic venues opened by a novel implementation of the DNAml algorithm · Bioinform. 1998
Bioinformatics and computational biology
phylogenetics		 0.011998
New phylogenetic venues opened by a novel implementation of the DNAml algorithm · Bioinform. 1998
Bioinformatics and computational biology › phylogenetics
phylogenetic inference		 0.011998
New phylogenetic venues opened by a novel implementation of the DNAml algorithm · Bioinform. 1998
Parallel and multicore computing › parallel algorithms
parallel algorithm design		 0.011998
New phylogenetic venues opened by a novel implementation of the DNAml algorithm · Bioinform. 1998

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

parallelization · 0.0runtime analysis · 0.0run-time analysis · 0.0
YearPublicationVenuePosition
1998 New phylogenetic venues opened by a novel implementation of the DNAml algorithm
abstract
SUMMARY: This note describes the parallelization of a key biological application, such as the construction of phylogenetic trees, using the DNAml program. A careful run-time analysis allowed us to propose an efficient parallelization that scaled very well to large problem sizes. AVAILABILITY: By anonymous ftp at ftp.ac.uma. es (/pub/ots/pDNAml) or from our web site http://www.cnb.uam. es/www/software/software_index.html CONTACT: [email protected]
Oswaldo Trelles, C. Ceron, Huaichun Wang, Joaquín Dopazo, José María Carazo
 Bioinform.2
1998 Parallel Implementation of DNAml Program on Message-Passing Architectures
C. Ceron, Joaquín Dopazo, Emilio L. Zapata, José María Carazo, Oswaldo Trelles
 Parallel Comput.1