Parallel and distributed computation: numerical methods
Parallel and distributed computation: numerical methods
Asynchronous two-stage iterative methods
Numerische Mathematik
Asynchronous iterative algorithms with flexible communication for nonlinear network flow problems
Journal of Parallel and Distributed Computing
A new class of asynchronous iterative algorithms with order intervals
Mathematics of Computation
Asynchronous Iterative Methods for Multiprocessors
Journal of the ACM (JACM)
Iterative solution of nonlinear equations in several variables
Iterative solution of nonlinear equations in several variables
Journal of Computational and Applied Mathematics - Special issue on numerical analysis 2000 Vol. III: linear algebra
Journal of Parallel and Distributed Computing
GREMLINS: a large sparse linear solver for grid environment
Parallel Computing
Extracting state-based performance metrics using asynchronous iterative techniques
Performance Evaluation
Subdomain solution of problem with unilateral constraints in grid environments
Globe'11 Proceedings of the 4th international conference on Data management in grid and peer-to-peer systems
Asynchronous grid computing for the simulation of the 3D electrophoresis coupled problem
Advances in Engineering Software
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The concept of flexible communication permits one to model efficient asynchronous iterations on parallel computers. This concept is particularly useful in two practical situations. Firstly, when communications are requested while a processor has completed the current update only partly, and secondly, in the context of inner/outer iterations, when processors are also allowed to make use of intermediate results obtained during the inner iteration in other processors.In the general case of nonlinear or linear fixed point problems, we give a global convergence results for asynchronous iterations with flexible communication whereby the iteration operators satisfy certain contraction hypotheses. In this manner we extend to a contraction context previous results obtained for monotone operators with respect to a partial ordering.