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Dominique Bernardi

dblp:58/132 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2006
—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
Parallel and multicore computing · 44% Distributed systems · 28% Storage systems · 22%

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

TopicWeightPapersLastEvidence papers
Parallel and multicore computing
data distribution		 0.112006
Geometrical Interpretation for Data partitioning on a Grid Architecture · HPDC 2006
Distributed systems
grid computing		 0.112006
Geometrical Interpretation for Data partitioning on a Grid Architecture · HPDC 2006
Parallel and multicore computing
load balancing		 0.112006
Geometrical Interpretation for Data partitioning on a Grid Architecture · HPDC 2006
Storage systems
sorting algorithms		 0.112006
Geometrical Interpretation for Data partitioning on a Grid Architecture · HPDC 2006
Distributed systems
communication optimization		 0.012006
Geometrical Interpretation for Data partitioning on a Grid Architecture · HPDC 2006
High-performance computing › cluster computing
heterogeneous clusters		 0.012006
Geometrical Interpretation for Data partitioning on a Grid Architecture · HPDC 2006

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

partitioning · 0.1geometrical interpretation · 0.1
YearPublicationVenuePosition
2006 Geometrical Interpretation for Data partitioning on a Grid Architecture
abstract
We study, in this work, the load balancing of sort algorithm executed on a two cluster grid. Our solution is based on data partitioning. We use mainly geometrical interpretations to find out the optimal partition that reduces both communication and computing times in an heterogeneous context
Dominique Bernardi, Christophe Cérin, Hazem Fkaier, Mohamed Jemni, Michel Koskas
 HPDC1