Presents a modified recursive doubling approach for convergence detection in asynchronous iterations, with adaptations for non-power-of-two cases illustrated via reduction operations.
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2019 2verdicts
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A cyclic gradient method is proposed with finite termination in two dimensions, R-linear convergence in higher dimensions, and experimental performance competitive with conjugate gradient on large problems.
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Convergence Detection of Asynchronous Iterations based on Modified Recursive Doubling
Presents a modified recursive doubling approach for convergence detection in asynchronous iterations, with adaptations for non-power-of-two cases illustrated via reduction operations.
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A New Cyclic Gradient Method Adapted to Large-Scale Linear Systems
A cyclic gradient method is proposed with finite termination in two dimensions, R-linear convergence in higher dimensions, and experimental performance competitive with conjugate gradient on large problems.