REZGUI , Mohamed

We study the search procedure parallelization in Constraint Programming (CP). After giving an overview on various existing methods of the state-of-the-art, we present a new method, named Embarrassinqly Parallel Search (EPS). This method is based on the decomposition of a problem into many disjoint subproblems which are then solved in parallel...

The bin packing problem is one of the core problems of cloud computing management. It corresponds to the problem of assigning virtual machines to servers. However, cloud computing also imposes a huge variety of constraints on this problem and most of them can not be expressed a priori. Constraint Programming (CP) has been proved efficient for...

We propose an adaptation of the Embarrassingly Parallel Search (EPS) method for data centers. EPS is a simple but efficient method for parallel solving of CSPs. EPS decomposes the problem in many distinct subproblems which are then solved independently by workers. EPS performed well on multi-cores machines (40), but some issues arise when using...

We introduce an Embarrassingly Parallel Search (EPS) method for solving constraint problems in parallel, and we show that this method matches or even outperforms state-of-the-art algorithms on a number of problems using various computing infrastructures. EPS is a simple method in which a master decomposes the problem into many disjoint...

We propose the Embarrassingly Parallel Search, a simple and efficient method for solving constraint programming problems in parallel. We split the initial problem into a huge number of independent subproblems and solve them with available workers (i.e., cores of machines). The decomposition into subproblems is computed by selecting a subset of...

This paper presents an external parallelization of Constraint Programming (CP) search tree mixing both static and dynamic partitioning. The principle of the parallelization is to partition the CP search tree into a set of sub-trees, then assign each sub-tree to one computing core in order to perform a local search using a sequential CP solver....