Implementation of distributed asynchronous algorithms with stochastic delays for solving time drifting optimization problems

B. F. Beidas, G. Papavassilopoulos
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引用次数: 1

Abstract

A distributed asynchronous algorithm that minimizes a functional whose minimum drifts with time is discussed. The communication delays among the processors are assumed to be stochastic with Markovian character. The authors present conditions under which the mean square and almost sure convergence to the sought nonstationary solution are guaranteed.<>
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求解时间漂移优化问题的随机延迟分布式异步算法的实现
讨论了一种求解函数最小值随时间漂移的分布式异步算法。假设处理器间的通信延迟是随机的,具有马尔可夫特征。作者给出了所求非平稳解的均方和几乎肯定收敛的保证条件
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Mapping realistic data sets on parallel computers A cluster-M based mapping methodology Supporting insertions and deletions in striped parallel filesystems An efficient atomic multicast protocol for client-server models Implementation of distributed asynchronous algorithms with stochastic delays for solving time drifting optimization problems
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