Pritish Narayanan

Orcid: 0000-0002-3176-0059

According to our database1, Pritish Narayanan authored at least 50 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of two.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
A Heterogeneous and Programmable Compute-In-Memory Accelerator Architecture for Analog-AI Using Dense 2-D Mesh.
IEEE Trans. Very Large Scale Integr. Syst., 2023

An analog-AI chip for energy-efficient speech recognition and transcription.
Nat., 2023

Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators.
CoRR, 2023

Phase Change Memory-based Hardware Accelerators for Deep Neural Networks (invited).
Proceedings of the 2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), 2023

Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks (Invited).
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Impact of Phase-Change Memory Drift on Energy Efficiency and Accuracy of Analog Compute-in-Memory Deep Learning Inference (Invited).
Proceedings of the IEEE International Reliability Physics Symposium, 2023

2022
Analog-memory-based 14nm Hardware Accelerator for Dense Deep Neural Networks including Transformers.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

2021
Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices.
Frontiers Comput. Neurosci., 2021

Circuit Techniques for Efficient Acceleration of Deep Neural Network Inference with Analog-AI (Invited).
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

2020
Overview of the IBM Neural Computer Architecture.
CoRR, 2020

Optimization of Analog Accelerators for Deep Neural Networks Inference.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Neuromorphic Computing with Phase Change, Device Reliability, and Variability Challenges.
Proceedings of the 2020 IEEE International Reliability Physics Symposium, 2020

Accelerating Deep Neural Networks with Analog Memory Devices.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

2019
AI hardware acceleration with analog memory: Microarchitectures for low energy at high speed.
IBM J. Res. Dev., 2019

Analog-to-Digital Conversion With Reconfigurable Function Mapping for Neural Networks Activation Function Acceleration.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2019

Non-filamentary non-volatile memory elements as synapses in neuromorphic systems.
Proceedings of the 19th Non-Volatile Memory Technology Symposium, 2019

2018
Equivalent-accuracy accelerated neural-network training using analogue memory.
Nat., 2018

Panel discussions: "Challenges to the scaling limits: How can we achieve sustainable power-performance improvements?".
Proceedings of the 2018 IEEE Symposium in Low-Power and High-Speed Chips, 2018

2017
Toward on-chip acceleration of the backpropagation algorithm using nonvolatile memory.
IBM J. Res. Dev., 2017

Reducing circuit design complexity for neuromorphic machine learning systems based on Non-Volatile Memory arrays.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Neuromorphic devices and architectures for next-generation cognitive computing.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Improved Deep Neural Network Hardware-Accelerators Based on Non-Volatile-Memory: The Local Gains Technique.
Proceedings of the IEEE International Conference on Rebooting Computing, 2017

2016
Circuit-Level Benchmarking of Access Devices for Resistive Nonvolatile Memory Arrays.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2016

Accelerating machine learning with Non-Volatile Memory: Exploring device and circuit tradeoffs.
Proceedings of the IEEE International Conference on Rebooting Computing, 2016

Large-scale neural networks implemented with Non-Volatile Memory as the synaptic weight element: Impact of conductance response.
Proceedings of the 46th European Solid-State Device Research Conference, 2016

2015
Deep Learning with Limited Numerical Precision.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
Parameter variation sensing and estimation in nanoscale fabrics.
J. Parallel Distributed Comput., 2014

Introduction to JPDC special issue on computing with future nanotechnology.
J. Parallel Distributed Comput., 2014

Metal-Gated Junctionless Nanowire Transistors.
CoRR, 2014

2013
Variability in Nanoscale Fabrics: Bottom-up Integrated Analysis and Mitigation.
ACM J. Emerg. Technol. Comput. Syst., 2013

Experimental prototyping of beyond-CMOS nanowire computing fabrics.
Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2013

Nanowire field-programmable computing platform.
Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2013

2012
Ternary volatile random access memory based on heterogeneous graphene-CMOS fabric.
Proceedings of the 2012 IEEE/ACM International Symposium on Nanoscale Architectures, 2012

2011
Energy-Efficient Hardware Data Prefetching.
IEEE Trans. Very Large Scale Integr. Syst., 2011

Impact of nanomanufacturing flow on systematic yield losses in nanoscale fabrics.
Proceedings of the 2011 IEEE/ACM International Symposium on Nanoscale Architectures, 2011

Regular 2D NASIC-based architecture and design space exploration.
Proceedings of the 2011 IEEE/ACM International Symposium on Nanoscale Architectures, 2011

N3ASICs: Designing nanofabrics with fine-grained CMOS integration.
Proceedings of the 2011 IEEE/ACM International Symposium on Nanoscale Architectures, 2011

Nanoscale Application Specific Integrated Circuits.
Proceedings of the 2011 IEEE/ACM International Symposium on Nanoscale Architectures, 2011

Hybrid Graphene Nanoribbon-CMOS tunneling volatile memory fabric.
Proceedings of the 2011 IEEE/ACM International Symposium on Nanoscale Architectures, 2011

Biased Voting for Improved Yield in Nanoscale Fabrics.
Proceedings of the 2011 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, 2011

2010
Programmable cellular architectures at the nanoscale.
Nano Commun. Networks, 2010

Towards logic functions as the device.
Proceedings of the 2010 IEEE/ACM International Symposium on Nanoscale Architectures, 2010

Incorporating Heterogeneous Redundancy in a Nanoprocessor for Improved Yield and Performance.
Proceedings of the 25th IEEE International Symposium on Defect and Fault Tolerance in VLSI Systems, 2010

Parameter Variability in Nanoscale Fabrics: Bottom-Up Integrated Exploration.
Proceedings of the 25th IEEE International Symposium on Defect and Fault Tolerance in VLSI Systems, 2010

2009
Towards a framework for designing applications onto hybrid nano/CMOS fabrics.
Microelectron. J., 2009

Validating cascading of crossbar circuits with an integrated device-circuit exploration.
Proceedings of the 2009 IEEE/ACM International Symposium on Nanoscale Architectures, 2009

2008
Impact of Process Variation in Fault-Resilient Streaming Nanoprocessors.
Proceedings of the Nano-Net - Third International ICST Conference, 2008

CMOS Control Enabled Single-Type FET NASIC.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2008

2007
Fault-Tolerant Nanoscale Processors on Semiconductor Nanowire Grids.
IEEE Trans. Circuits Syst. I Regul. Pap., 2007

Combining 2-level logic families in grid-based nanoscale fabrics.
Proceedings of the 2007 IEEE International Symposium on Nanoscale Architectures, 2007


  Loading...