Hybrid MPI/OpenMP parallel asynchronous distributed alternating direction method of multipliers-Reference-Cited by-同舟云学术

Hybrid MPI/OpenMP parallel asynchronous distributed alternating direction method of multipliers

Published:2021-06-17 Issue:12 Volume:103 Page:2737-2762
ISSN:0010-485X
Container-title:Computing
language:en
Short-container-title:Computing

Author:

Wang Dongxia^ORCID,Lei Yongmei,Zhou Jianhui

Funder

Basic Algorithms and Programming Environment of Big Data Analysis Based on Supercomputing

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Numerical Analysis,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00607-021-00968-0.pdf

Reference27 articles.

1. Balamurugan P, Posinasetty A, Shevade S (2016) ADMM for training sparse structural SVMs with augmented L1 regularizers. In: SIAM international conference on data mining. https://doi.org/10.1137/1.9781611974348.77

2. Boyd S, Parikh N, Chu E, Peleato B, Eckstein J et al (2011) Distributed optimization and statistical learning via the alternating direction method of multipliers. Found Trends® Mach Learn 3(1):1–122. https://doi.org/10.1561/2200000016

3. Chang TH, Hong M, Liao WC, Wang X (2016) Asynchronous distributed ADMM for large-scale optimization-part i: algorithm and convergence analysis. IEEE Trans Signal Process 64(12):3118–3130. https://doi.org/10.1109/TSP.2016.2537271

4. Chang TH, Liao WC, Hong M, Wang X (2016) Asynchronous distributed ADMM for large-scale optimization-part ii: linear convergence analysis and numerical performance. IEEE Trans Signal Process 64(12):3131–3144. https://doi.org/10.1109/TSP.2016.2537261

5. Chorley MJ, Walker DW (2010) Performance analysis of a hybrid MPI/OpenMP application on multi-core clusters. J Comput Sci 1(3):168–174. https://doi.org/10.1016/j.jocs.2010.05.001

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