Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: DBS: Dynamic Batch Size For Distributed Deep Neural Network Training   Synchronous strategies with data parallelism, such as the Synchronous
StochasticGradient Descent (S-SGD) and the model averaging methods, are widely
utilizedin distributed training of Deep Neural Networks (DNNs), largely owing
to itseasy implementation yet promising performance. Particularly, each worker
ofthe cluster hosts a copy of the DNN and an evenly divided share of the
datasetwith the fixed mini-batch size, to keep the training of DNNs
convergence. In thestrategies, the workers with different computational
capability, need to wait foreach other because of the synchronization and
delays in network transmission,which will inevitably result in the
high-performance workers wasting computation.Consequently, the utilization of
the cluster is relatively low. To alleviate thisissue, we propose the Dynamic
Batch Size (DBS) strategy for the distributedtraining of DNNs. Specifically,
the performance of each worker is evaluatedfirst based on the fact in the
previous epoch, and then the batch size and datasetpartition are dynamically
adjusted in consideration of the current performanceof the worker, thereby
improving the utilization of the cluster. To verify theeffectiveness of the
proposed strategy, extensive experiments have been conducted,and the
experimental results indicate that the proposed strategy can fully utilizethe
performance of the cluster, reduce the training time, and have good
robustnesswith disturbance by irrelevant tasks. Furthermore, rigorous
theoretical analysis hasalso been provided to prove the convergence of the
proposed strategy.

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The categories of this paper are: astro-ph
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The categories of this paper are: funct-an
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The categories of this paper are: cond-mat
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The categories of this paper are: eess
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The categories of this paper are: math-ph
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The categories of this paper are: atom-ph
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The categories of this paper are: acc-phys
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The categories of this paper are: nucl-ex
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The categories of this paper are: dg-ga
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The categories of this paper are: physics
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The categories of this paper are: nucl-th
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The categories of this paper are: econ
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The categories of this paper are: gr-qc
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The categories of this paper are: plasm-ph
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The categories of this paper are: quant-ph
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The categories of this paper are: ao-sci