Irregular applications, which rely on pointer-based data structures, are often difficult to parallelize. The inputdependent nature of their execution means that traditional paral...
We introduce a master–worker framework for parallel global optimization of computationally expensive functions using response surface models. In particular, we parallelize two r...
This paper describes the design and implementation of a constraint satisfaction system that uses delayed evaluation techniques to provide greater representational power and to avo...
Variational models for image segmentation have many applications, but can be slow to compute. Recently, globally convex segmentation models have been introduced which are very rel...
We consider a model for decentralized collaborative networks that is based on stable matching theory. This model is applied to systems with a global ranking utility function, whic...
Anh-Tuan Gai, Fabien Mathieu, Fabien de Montgolfie...