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A. Djerrah

dblp:39/3081 · 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 · 100%
Theoretical computer science
1 paper
Mathematical optimization · 100%

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

TopicWeightPapersLastEvidence papers
Parallel and multicore computing › parallel algorithms
branch-and-bound
0.112006
Bob++: Framework for Solving Optimization Problems with Branch-and-Bound methods · HPDC 2006
Parallel and multicore computing › parallel algorithms
parallel search
0.112006
Bob++: Framework for Solving Optimization Problems with Branch-and-Bound methods · HPDC 2006
Mathematical optimization
combinatorial optimization
0.112006
Bob++: Framework for Solving Optimization Problems with Branch-and-Bound methods · HPDC 2006
Parallel and multicore computing
load balancing
0.012006
Bob++: Framework for Solving Optimization Problems with Branch-and-Bound methods · HPDC 2006

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

dynamic programming · 0.1divide-and-conquer · 0.1branch-and-bound · 0.1a · 0.1
YearPublicationVenuePosition
2006 Bob++: Framework for Solving Optimization Problems with Branch-and-Bound methods
abstract
This paper describes the design of Bob++, a framework for implementing sequential and/or parallel search algorithms. To our knowledge, the Bob++ is among the rare frameworks that allow implementation of various search methods (B&B, D&C (divide-and-conquer), DP (dynamic programming), A*) for general COPs and run the application on any architecture (sequential/SMP machines, clusters/grids) with minimum modification in the source code. The Bob++ is based on the notion of global priority queue that encapsulates sequential data structures and load balancing strategies. This makes transparent the parallelizations of the search algorithms. To parallelize Bob++ library, we integrated it on Athapascan parallel programming interface which is a C++ library developed by the INRIA Apache project
A. Djerrah, Bertrand Le Cun, Van-Dat Cung, Catherine Roucairol
HPDC1