Indranil Chakraborty

According to our database, Indranil Chakraborty authored at least 46 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Pruning for Improved ADC Efficiency in Crossbar-based Analog In-memory Accelerators.

Timur Ibrayev, Isha Garg, Indranil Chakraborty, Kaushik Roy

CoRR, 2024

2023

Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware.

Nitin Rathi, Indranil Chakraborty, Adarsh Kosta, Abhronil Sengupta, Aayush Ankit, Priyadarshini Panda, Kaushik Roy

ACM Comput. Surv., December, 2023

WWW: What, When, Where to Compute-in-Memory.

Tanvi Sharma, Mustafa Fayez Ali, Indranil Chakraborty, Kaushik Roy

CoRR, 2023

A 65 nm 1.4-6.7 TOPS/W Adaptive-SNR Sparsity-Aware CIM Core with Load Balancing Support for DL workloads.

Mustafa Fayez Ali, Indranil Chakraborty, Sakshi Choudhary, Muya Chang, Dong Eun Kim, Arijit Raychowdhury, Kaushik Roy

Proceedings of the IEEE Custom Integrated Circuits Conference, 2023

2022

On Noise Stability and Robustness of Adversarially Trained Networks on NVM Crossbars.

Chun Tao, Deboleena Roy, Indranil Chakraborty, Kaushik Roy

IEEE Trans. Very Large Scale Integr. Syst., 2022

Design Space and Memory Technology Co-Exploration for In-Memory Computing Based Machine Learning Accelerators.

Kang He, Indranil Chakraborty, Cheng Wang, Kaushik Roy

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

Towards ADC-Less Compute-In-Memory Accelerators for Energy Efficient Deep Learning.

Utkarsh Saxena, Indranil Chakraborty, Kaushik Roy

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

HyperX: A Hybrid RRAM-SRAM partitioned system for error recovery in memristive Xbars.

Adarsh Kosta, Efstathia Soufleri, Indranil Chakraborty, Amogh Agrawal, Aayush Ankit, Kaushik Roy

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

NAX: neural architecture and memristive xbar based accelerator co-design.

Shubham Negi, Indranil Chakraborty, Aayush Ankit, Kaushik Roy

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

NAX: Co-Designing Neural Network and Hardware Architecture for Memristive Xbar based Computing Systems.

Shubham Negi, Indranil Chakraborty, Aayush Ankit, Kaushik Roy

CoRR, 2021

Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems.

Yinghan Long, Indranil Chakraborty, Gopalakrishnan Srinivasan, Kaushik Roy

Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021

Brain-Inspired Computing: Adventure from Beyond CMOS Technologies to Beyond von Neumann Architectures ICCAD Special Session Paper.

Hussam Amrouch, Jian-Jia Chen, Kaushik Roy, Yuan Xie, Indranil Chakraborty, Wenqin Huangfu, Ling Liang, Fengbin Tu, Cheng Wang, Mikail Yayla

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

A 93 TOPS/Watt Near-Memory Reconfigurable SAD Accelerator for HEVC/AV1/JEM Encoding.

Jainaveen Sundaram, Srivatsa Rangachar Srinivasa, Dileep Kurian, Indranil Chakraborty, Sirisha Rani Kale, Nilesh Jain, Tanay Karnik, Ravi R. Iyer, Anuradha Srinivasan

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

On the Intrinsic Robustness of NVM Crossbars Against Adversarial Attacks.

Deboleena Roy, Indranil Chakraborty, Timur Ibrayev, Kaushik Roy

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

Design Tools for Resistive Crossbar based Machine Learning Accelerators.

Indranil Chakraborty, Sourjya Roy, Shrihari Sridharan, Mustafa Fayez Ali, Aayush Ankit, Shubham Jain, Anand Raghunathan

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020

Revisiting Stochastic Computing in the Era of Nanoscale Nonvolatile Technologies.

Amogh Agrawal, Indranil Chakraborty, Deboleena Roy, Utkarsh Saxena, Saima Sharmin, Minsuk Koo, Yong Shim, Gopalakrishnan Srinivasan, Chamika M. Liyanagedera, Abhronil Sengupta, Kaushik Roy

IEEE Trans. Very Large Scale Integr. Syst., 2020

IMAC: In-Memory Multi-Bit Multiplication and ACcumulation in 6T SRAM Array.

Mustafa Fayez Ali, Akhilesh Jaiswal, Sangamesh Kodge, Amogh Agrawal, Indranil Chakraborty, Kaushik Roy

IEEE Trans. Circuits Syst. I Regul. Pap., 2020

Resistive Crossbars as Approximate Hardware Building Blocks for Machine Learning: Opportunities and Challenges.

Indranil Chakraborty, Mustafa Fayez Ali, Aayush Ankit, Shubham Jain, Sourjya Roy, Shrihari Sridharan, Amogh Agrawal, Anand Raghunathan, Kaushik Roy

Proc. IEEE, 2020

Constructing energy-efficient mixed-precision neural networks through principal component analysis for edge intelligence.

Indranil Chakraborty, Deboleena Roy, Isha Garg, Aayush Ankit, Kaushik Roy

Nat. Mach. Intell., 2020

Circuits and Architectures for In-Memory Computing-Based Machine Learning Accelerators.

Aayush Ankit, Indranil Chakraborty, Amogh Agrawal, Mustafa Fayez Ali, Kaushik Roy

IEEE Micro, 2020

Robustness Hidden in Plain Sight: Can Analog Computing Defend Against Adversarial Attacks?

Deboleena Roy, Indranil Chakraborty, Timur Ibrayev, Kaushik Roy

CoRR, 2020

Conditionally Deep Hybrid Neural Networks Across Edge and Cloud.

Yinghan Long, Indranil Chakraborty, Kaushik Roy

CoRR, 2020

IMAC: In-memory multi-bit Multiplication andACcumulation in 6T SRAM Array.

Mustafa Fayez Ali, Akhilesh Jaiswal, Sangamesh Kodge, Amogh Agrawal, Indranil Chakraborty, Kaushik Roy

CoRR, 2020

GENIEx: A Generalized Approach to Emulating Non-Ideality in Memristive Xbars using Neural Networks.

Indranil Chakraborty, Mustafa Fayez Ali, Dong Eun Kim, Aayush Ankit, Kaushik Roy

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

In-Memory Computing in Emerging Memory Technologies for Machine Learning: An Overview.

Kaushik Roy, Indranil Chakraborty, Mustafa Fayez Ali, Aayush Ankit, Amogh Agrawal

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019

8T SRAM Cell as a Multibit Dot-Product Engine for Beyond Von Neumann Computing.

Akhilesh Jaiswal, Indranil Chakraborty, Amogh Agrawal, Kaushik Roy

IEEE Trans. Very Large Scale Integr. Syst., 2019

Neural network accelerator design with resistive crossbars: Opportunities and challenges.

Shubham Jain, Aayush Ankit, Indranil Chakraborty, Tayfun Gokmen, Malte J. Rasch, Wilfried Haensch, Kaushik Roy, Anand Raghunathan

IBM J. Res. Dev., 2019

Simultaneous vs. sequential auctions with risk averse bidders.

Indranil Chakraborty

Games Econ. Behav., 2019

PCA-driven Hybrid network design for enabling Intelligence at the Edge.

Indranil Chakraborty, Deboleena Roy, Isha Garg, Aayush Ankit, Kaushik Roy

CoRR, 2019

Efficient Hybrid Network Architectures for Extremely Quantized Neural Networks Enabling Intelligence at the Edge.

Indranil Chakraborty, Deboleena Roy, Aayush Ankit, Kaushik Roy

CoRR, 2019

Discretization Based Solutions for Secure Machine Learning Against Adversarial Attacks.

Priyadarshini Panda, Indranil Chakraborty, Kaushik Roy

IEEE Access, 2019

On Robustness of Spin-Orbit-Torque Based Stochastic Sigmoid Neurons for Spiking Neural Networks.

Akhilesh Jaiswal, Amogh Agrawal, Indranil Chakraborty, Deboleena Roy, Kaushik Roy

Proceedings of the International Joint Conference on Neural Networks, 2019

Scaling Deep Spiking Neural Networks with Binary Stochastic Activations.

Deboleena Roy, Indranil Chakraborty, Kaushik Roy

Proceedings of the 2019 IEEE International Conference on Cognitive Computing, 2019

Digital and Analog-Mixed-Signal In-Memory Processing in CMOS SRAM.

Akhilesh Jaiswal, Amogh Agrawal, Indranil Chakraborty, Mustafa Fayez Ali, Kaushik Roy

Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019

2018

Technology Aware Training in Memristive Neuromorphic Systems for Nonideal Synaptic Crossbars.

Indranil Chakraborty, Deboleena Roy, Kaushik Roy

IEEE Trans. Emerg. Top. Comput. Intell., 2018

Photonic Spiking Neural Networks - From Devices to Systems.

Indranil Chakraborty, Gobinda Saha, Kaushik Roy

CoRR, 2018

All-Photonic Phase Change Spiking Neuron: Toward Fast Neural Computing using Light.

Indranil Chakraborty, Gobinda Saha, Abhronil Sengupta, Kaushik Roy

CoRR, 2018

Proposal for a Low Voltage Analog-to-Digital Converter using Voltage Controlled Stochastic Switching of Low Barrier Nanomagnets.

Indranil Chakraborty, Amogh Agrawal, Kaushik Roy

CoRR, 2018

Capacitively Driven Global Interconnect with Magnetoelectric Switching Based Receiver for Higher Energy Efficiency.

Zubair Al Azim, Akhilesh Jaiswal, Indranil Chakraborty, Kaushik Roy

CoRR, 2018

8T SRAM Cell as a Multi-bit Dot Product Engine for Beyond von-Neumann Computing.

Akhilesh Jaiswal, Indranil Chakraborty, Amogh Agrawal, Kaushik Roy

CoRR, 2018

2017

Technology Aware Training in Memristive Neuromorphic Systems based on non-ideal Synaptic Crossbars.

Indranil Chakraborty, Deboleena Roy, Kaushik Roy

CoRR, 2017

Energy-Efficient Memories using Magneto-Electric Switching of Ferromagnets.

Akhilesh Jaiswal, Indranil Chakraborty, Kaushik Roy

CoRR, 2017

2015

A selectorless RRAM with record memory window and nonlinearity based on trap filled limit mechanism.

Pankaj Kumbhare, Indranil Chakraborty, A. K. Singh, S. Chouhan, Neeraj Panwar, Udayan Ganguly

Proceedings of the 15th Non-Volatile Memory Technology Symposium, 2015

2008

Examining the effects of cognitive style in individuals' technology use decision making.

Indranil Chakraborty, Paul Jen-Hwa Hu, Dai Cui

Decis. Support Syst., 2008

2006

Bundle and separate sales in auctions with entry.

Indranil Chakraborty

Games Econ. Behav., 2006

2005

Examining Effects of Cognitive Style on Technology Acceptance Decisions.

Indranil Chakraborty, Paul Jen-Hwa Hu, Dai Cui

Proceedings of the Pacific Asia Conference on Information Systems, 2005