基于Docker Swarm的神经网络模型的MPI并行化

2020 IEEE 26th International Conference on Parallel and Distributed Systems (ICPADS) Pub Date : 2020-12-01 DOI:10.1109/ICPADS51040.2020.00092

Raghu Sesha Iyengar, M. Raghavan

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引用次数: 1

摘要

随着其他系统模拟器越来越多地用于模拟神经系统的复杂性需要大量并行实现。NEURON的ParallelContext允许使用MPI并行化模型。然而，当在docker容器中使用NEURON模型时，这种并行化不能开箱即用。我们提出了一种基于docker swarm的神经元模型的MPI并行化架构。我们将其集成到我们的NEUROiD平台上，并在我们的集群上获得了近16倍的模拟时间改进。

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MPI Parallelization of NEUROiD Models Using Docker Swarm

NEURON along with other systems simulators is increasingly being used to simulate neural systems where the complexity demands massive parallel implementations. NEURON's ParallelContext allows parallelizing models using MPI. However, when using NEURON models in a docker container, this parallelization does not work out-of-the-box. We propose an architecture for MPI parallelization of NEURON models using docker swarm. We integrate this on our NEUROiD platform and obtain almost 16x improvement in simulation time on our cluster.

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2020 IEEE 26th International Conference on Parallel and Distributed Systems (ICPADS)

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