Low precision matrix multiplication for efficient deep learning in NVIDIA Carmel processors

Author:

San Juan PabloORCID,Rodríguez-Sánchez Rafael,Igual Francisco D.,Alonso-Jordá Pedro,Quintana-Ortí Enrique S.

Funder

Ministerio de Ciencia, Innovación y Universidades

Comunidad de Madrid

Universidad Complutense de Madrid

Generalitat Valenciana

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Reference18 articles.

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2. Krizhevsky A, Sutskever I, Hinton GE (2012) ImageNet classification with deep convolutional neural networks. In: Proceedings of the 25th international conference on neural information processing systems—vol 1, ser. NIPS’12. Curran Associates Inc., USA, pp 1097–1105

3. Zhang J, Zong C (2015) Deep neural networks in machine translation: an overview. IEEE Intell Syst 30(5):16–25

4. Devlin J et al (2019) BERT: pre-training of deep bidirectional transformers for language understanding. In: Proceedings of 2019 conference North American Chapter of the Association for Computational Linguistics: Human Language Technologies, vol 1, pp 4171–4186

5. Sze V et al (2017) Efficient processing of deep neural networks: a tutorial and survey. Proc IEEE 105(12):2295–2329

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