Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems
Reference67 articles.
1. Alistarh, D., Li, J., Tomioka, R., Vojnovic, M.: Qsgd: randomized quantization for communication-optimal stochastic gradient descent. arXiv preprint. arXiv:1610.02132 (2016)
2. Armbrust, M., Fox, A., Griffith, R., Joseph, A.D., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I., et al.: A view of cloud computing. Commun. ACM 53(4), 50–58 (2010)
3. Bell, N., Garland, M.: Efficient sparse matrix-vector multiplication on cuda. Tech. rep., Nvidia Corporation (2008)
4. Bonner, S., Kureshi, I., Brennan, J., Theodoropoulos, G., McGough, A.S., Obara, B.: Exploring the semantic content of unsupervised graph embeddings: an empirical study. Data Sci. Eng. 4(3), 269–289 (2019)
5. Bottou, L.: Large-scale machine learning with stochastic gradient descent. In: Proceedings of COMPSTAT’2010, pp. 177–186 (2010)
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