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arXiv · 1801.04582

Distributed dynamic load balancing for task parallel programming

Afshin Zafari·Elisabeth Larsson
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Abstract

In this paper, we derive and investigate approaches to dynamically load balance a distributed task parallel application software. The load balancing strategy is based on task migration. Busy processes export parts of their ready task queue to idle processes. Idle--busy pairs of processes find each other through a random search process that succeeds within a few steps with high probability. We evaluate the load balancing approach for a block Cholesky factorization implementation and observe a reduction in execution time on the order of 5\% in the selected test cases.

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Afshin Zafari, Elisabeth Larsson. 2018-01-14. Distributed dynamic load balancing for task parallel programming. https://arxiv.org/abs/1801.04582

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