Parallelizing Word2Vec in Shared and Distributed Memory

@article{Ji2019ParallelizingWI,
  title={Parallelizing Word2Vec in Shared and Distributed Memory},
  author={Shihao Ji and Nadathur Satish and Sheng Li and P. Dubey},
  journal={IEEE Transactions on Parallel and Distributed Systems},
  year={2019},
  volume={30},
  pages={2090-2100}
}
  • Shihao Ji, Nadathur Satish, +1 author P. Dubey
  • Published 2019
  • Computer Science, Mathematics
  • IEEE Transactions on Parallel and Distributed Systems
  • Word2vec is a widely used algorithm for extracting low-dimensional vector representations of words. [...] Key Method We also explore different techniques to distribute word2vec computation across nodes in a computer cluster, and demonstrate good strong scalability up to 32 nodes. The new algorithm is particularly suitable for modern multi-core/many-core architectures, especially Intel's latest Knights Landing processors, and allows us to scale up the computation near linearly across cores and nodes, and process…Expand Abstract
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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 27 REFERENCES
    Distributed Representations of Words and Phrases and their Compositionality
    • 18,690
    • Highly Influential
    • Open Access
    Efficient Estimation of Word Representations in Vector Space
    • 14,973
    • Highly Influential
    • Open Access
    Sequence to Sequence Learning with Neural Networks
    • 10,437
    • Open Access
    Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
    • 9,395
    • Open Access
    Effective Approaches to Attention-based Neural Machine Translation
    • 3,873
    • Open Access
    A unified architecture for natural language processing: deep neural networks with multitask learning
    • 4,011
    • Open Access
    Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
    • 1,679
    • Open Access
    Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
    • 5,948
    • Highly Influential
    • Open Access
    Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
    • 5,089
    • Open Access
    Foundations of statistical natural language processing
    • 6,232
    • Open Access