Pritish Narayanan - Concepedia

Author

Pritish Narayanan

Also Known As

A. Chen, Narayanan, P., Narayanan, Pritish, P. Bhargav Narayanan, P. Narayanan, Pritha Narayanan, Pritish Narayanan, R.M. Shelby

126

Publications

7.6K

Citations

H-Index

102

Concepts

All Affiliations

IBM Research - Almaden University of Massachusetts Amherst École Polytechnique Fédérale de Lausanne Pohang University of Science and Technology IBM Research - Zurich

About

Pritish Narayanan is an author at IBM Research - Almaden specializing in engineering, computer engineering, and computer architecture.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	24	42	5K
2	Applied Physics	13	15	710
3	Social Sciences	10	10	1.6K
4	Architectural Engineering	1	1	11
5	Biomedical Engineering	1	1	15

Pritish Narayanan

Publications

7.4K

Citations

H-Index

Page 1

	Year	Citations
Equivalent-accuracy accelerated neural-network training using analogue memory Stefano Ambrogio, Pritish Narayanan, Hsinyu Tsai, Nature EngineeringMachine LearningSparse Neural NetworkAnalogue MemoryComputer Science	2018	1.1K
Deep Learning with Limited Numerical Precision Suyog Gupta, Ankur Agrawal, Kailash Gopalakrishnan, arXiv (Cornell University) Available Computational ResourcesConvolutional Neural NetworkEngineeringMachine LearningHardware Acceleration	2015	1.1K
Neuromorphic computing using non-volatile memory Geoffrey W. Burr, R. M. Shelby, Abu Sebastian, Advances in Physics X	2016	1.1K
Experimental Demonstration and Tolerancing of a Large-Scale Neural Network (165 000 Synapses) Using Phase-Change Memory as the Synaptic Weight Element Geoffrey W. Burr, R. M. Shelby, Severin Sidler, IEEE Transactions on Electron Devices Large-scale Neural NetworkEngineeringNeural Networks (Machine Learning)Synaptic TransmissionNeural Network Simulator	2015	904
Deep Learning with Limited Numerical Precision Suyog Gupta, Ankur Agrawal, Kailash Gopalakrishnan,	2015	771
Access devices for 3D crosspoint memory Geoffrey W. Burr, Rohit S. Shenoy, Kumar Virwani, Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena Non-volatile MemoryEngineeringEmerging Memory TechnologyComputer ArchitecturePhase Change Memory	2014	352
Recent progress in analog memory-based accelerators for deep learning Hsinyu Tsai, Stefano Ambrogio, Pritish Narayanan, Journal of Physics D Applied Physics Digital AcceleratorsEngineeringHardware AccelerationComputer EngineeringComputer Architecture	2018	218
Experimental demonstration and tolerancing of a large-scale neural network (165,000 synapses), using phase-change memory as the synaptic weight element Geoffrey W. Burr, R. M. Shelby, Carmelo di Nolfo, Mnist DatabaseLarge-scale Neural NetworkEngineeringNeural Networks (Machine Learning)Neural Network	2014	202
An analog-AI chip for energy-efficient speech recognition and transcription Stefano Ambrogio, Pritish Narayanan, Atsuya Okazaki, Nature	2023	185
Large-scale neural networks implemented with non-volatile memory as the synaptic weight element: Comparative performance analysis (accuracy, speed, and power) Geoffrey W. Burr, Pritish Narayanan, R. M. Shelby, Non-volatile MemoryEngineeringMachine LearningNeural Networks (Machine Learning)Computer Architecture	2015	164

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