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C.P. Narayanan (born 28 September 1938, Birth Place - Wadakanchery, Thrissur, Kerala) is an Indian Politician belonging to the Communist Party of India (Marxist).He was elected as a member of the Rajya Sabha the Upper house of Indian Parliament from Kerala in July 2012.
Jun 6, 2018 · Article. Published: 06 June 2018. Equivalent-accuracy accelerated neural-network training using analogue memory. Stefano Ambrogio, Pritish Narayanan, Hsinyu Tsai, Robert M. Shelby, Irem Boybat,...
- Stefano Ambrogio, Pritish Narayanan, Hsinyu Tsai, Robert M. Shelby, Irem Boybat, Irem Boybat, Carmel...
- 2018
Aug 23, 2023 · Open access. Published: 23 August 2023. An analog-AI chip for energy-efficient speech recognition and transcription. S. Ambrogio, P. Narayanan, A. Okazaki, A. Fasoli, C. Mackin, K. Hosokawa,...
Feb 9, 2015 · We study the effect of limited precision data representation and computation on neural network training. Within the context of low-precision fixed-point computations, we observe the rounding scheme to play a crucial role in determining the network's behavior during training.
- Suyog Gupta, Ankur Agrawal, Kailash Gopalakrishnan, Pritish Narayanan
- arXiv:1502.02551 [cs.LG]
- 2015
- 10 pages, 6 figures, 1 table
Apr 19, 2017 · View C.P NARAYANAN’s professional profile on LinkedIn. LinkedIn is the world’s largest business network, helping professionals like C.P NARAYANAN discover inside connections to...
- 500+
- Chennai, Tamil Nadu, India
May 26, 2022 · Abstract. In this chapter, we discuss recent advances in the hardware acceleration of deep neural networks with analog memory devices. Analog memory offers enormous potential to speed up computation in deep learning.
Here we demonstrate mixed hardware-software neural-network implementations that involve up to 204,900 synapses and that combine long-term storage in phase-change memory, near-linear updates of volatile capacitors and weight-data transfer with 'polarity inversion' to cancel out inherent device-to-device variations.
