Jerboa: A Graph Transformation Library for Topology-Based Geometric Modeling

Belhaouari, Hakim; Arnould, Agnès; Gall, Pascale Le; Bellet, Thomas

doi:10.1007/978-3-319-09108-2_18

Cited by 9 publications

(13 citation statements)

References 13 publications

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“…To understand how Jerboa can be a valuable tool to parallelize geometric operations, it is mandatory to understand the inner structure and the language used by transformation rules. These features are thoroughly described in (Belhaouari et al, 2014), but, in this section, we recall elements that help understanding how parallelization can be applied.…”

Section: General Presentation Of Jerboamentioning

confidence: 99%

“…This tool provides us with an adapted framework, mainly consisting of a rule-based language for graph transformations that provides any transformation rule with static and dynamic checks. Jerboa is based on different engines that handle these rules to carry out geometric operations (Belhaouari et al, 2014). We found that these engines were well-suited to parallelism and could be enhanced and optimized in time for some global geometric transformations.…”

Section: Introductionmentioning

confidence: 99%

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Transparent Parallelization of Enrichment Operations in Geometric Modeling

Bourquat

Belhaouari

Meseure

et al. 2020

Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Application

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This paper presents an approach to automatically and transparently parallelize algorithms to build 2D or 3D virtual objects in geometric modeling: In particular, we show that subdivision and Iterated Function System constructions can be parallelized, without any explicit parallelization study by their developer. These operations are described in the framework Jerboa, where each operation is expressed as a graph transformation and objects are topologically described using generalized maps. All transformations are handled by a generic engine that can handle structure changes in parallel. The obtained results allow any designer of virtual environments to rely on modern multi-core and multi-processor architectures to get faster constructions of complex objects without any skills on parallelism.

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Section: General Presentation Of Jerboamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Transparent Parallelization of Enrichment Operations in Geometric Modeling

Bourquat

Belhaouari

Meseure

et al. 2020

Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Application

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“…Jerboa is based on topological rules of graph transformation [BALB14]. Each modeling operation is formally defined as a rule applied to a G-Map.…”

Section: Graph Transformation Rulesmentioning

confidence: 99%

A Persistent Naming System Based on Graph Transformation Rules

Marcheix¹,

Skapin

Cardot

et al. 2018

CSRN

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ABSTRACT3D modeling for Archaeology requires to easily model scenes by letting users evaluate a parametric specification of archaeology-oriented gestures, then modify and reevaluate the specification to produce various restitution hypotheses. But the current modeling tools that support reevaluation mechanisms are not dedicated to Archaeology. The Jerboa library, based on graph transformations rules, is well suited for creating operations fitting the needs of archaeologists. But it does not any support reevaluation mechanism and especially the persistent naming system, that is used to identify the entities of the initial model and match them with entities of the reevaluated model. In this paper, we extend Jerboa with a new application-independent persistent naming model, which is more general and homogeneous than other solutions found in the literature and is the first one to handle parametric specification edition.

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“…The JERBOA and its rule-based language (Belhaouari et al, 2014) is dedicated to geometric modeling. It is based on the topological model of G-maps (Damiand and Lienhardt, 2014).…”

Section: Prototyping Using Rule Based-languagementioning

confidence: 99%

“…Section 2 presents the related work. In Section 3, the main basis of prototyping with a rule-based language using the JERBOA software (Belhaouari et al, 2014) is detailed. In Section 4, the physical simulation of 2D and 3D objects with different types of meshes and physical models using rule-based language are described.…”

Section: Introductionmentioning

confidence: 99%