Interprocessor communication with limited memory

Ali Pınar

doi:10.1109/TPDS.2004.22

2004-07-01

Ali Pınar

DOI：10.1109/TPDS.2004.22

原文链接

查看原文

摘要

En 中文

Many parallel applications require periodic redistribution of workloads and associated data. In a distributed memory computer, this redistribution can be difficult if limited memory is available for receiving messages. We propose a model for optimizing the exchange of messages under such circumstances which we call the minimum phase remapping problem. We first show that the problem is NP-Complete, and then analyze several methodologies for addressing it. First, we show how the problem can be phrased as an instance of multicommodity flow. Next, we study a continuous approximation to the problem. We show that this continuous approximation has a solution which requires at most two more phases than the optimal discrete solution, but the question of how to consistently obtain a good discrete solution from the continuous problem remains open. We also devise a simple and practical approximation algorithm for the problem with a bound of 1.5 times the optimal number of phases. We also present an empirical study of variations of our algorithms which indicate that our approaches are quite practical.

Keyword:

interprocessor communication

dynamic load balancing

data migration

scheduling

NP-completeness

approximation algorithms