Asynchronous iterations and order intervals
Proceedings of the international workshop on Parallel algorithms & architectures
Parallel and distributed computation: numerical methods
Parallel and distributed computation: numerical methods
A new class of asynchronous iterative algorithms with order intervals
Mathematics of Computation
Asynchronous Iterative Methods for Multiprocessors
Journal of the ACM (JACM)
A parallel adaptive coupling algorithm for systems of differential equations
Journal of Computational Physics
An additive Schwarz method for variational inequalities
Mathematics of Computation
Parallel Asynchronous Richardson Method for the Solution of Obstacle Problem
HPCS '02 Proceedings of the 16th Annual International Symposium on High Performance Computing Systems and Applications
Efficient metacomputing of elliptic linear and non-linear problems
Journal of Parallel and Distributed Computing - Special issue on computational grids
Grid'5000: A Large Scale And Highly Reconfigurable Experimental Grid Testbed
International Journal of High Performance Computing Applications
Parallel Iterative Algorithms: From Sequential to Grid Computing (Chapman & Hall/Crc Numerical Analy & Scient Comp. Series)
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In relation with the mathematics of financial applications, the present study deals with the solution of the time dependent obstacle problem defined in a three-dimensional domain; this problem arises in the pricing of American options derivatives. In order to solve very quickly large scale algebraic systems derived from the discretization of the obstacle problem, the parallelization of the numerical algorithm is necessary. So, we present parallel synchronous, and more generally asynchronous, iterative algorithms to solve this problem. For the considered problem, arguments implying the convergence of parallel synchronous and asynchronous algorithms are given in a general framework. Finally, computational experiments on GRID'5000, the French national grid, are presented and analyzed. They allow us to compare both synchronous and asynchronous versions with local and distributed clusters and to show the interest of such methods in the context of grid computing.