Indranil Chakraborty

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 47

Top Topics

Energy Efficient

Top Venues

IEEE Trans. Very Large Scale Integr. Syst.

Publications

Timur Ibrayev, Isha Garg, Indranil Chakraborty, Kaushik Roy
Pruning for Improved ADC Efficiency in Crossbar-based Analog In-memory Accelerators. CoRR (2024)
Mustafa Fayez Ali, Indranil Chakraborty, Sakshi Choudhary, Muya Chang, Dong Eun Kim, Arijit Raychowdhury, Kaushik Roy
A 65 nm 1.4-6.7 TOPS/W Adaptive-SNR Sparsity-Aware CIM Core with Load Balancing Support for DL workloads. CICC (2023)
Tanvi Sharma, Mustafa Fayez Ali, Indranil Chakraborty, Kaushik Roy
WWW: What, When, Where to Compute-in-Memory. CoRR (2023)
Nitin Rathi, Indranil Chakraborty, Adarsh Kosta, Abhronil Sengupta, Aayush Ankit, Priyadarshini Panda, Kaushik Roy
Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware. ACM Comput. Surv. 55 (12) (2023)
Kang He, Indranil Chakraborty, Cheng Wang, Kaushik Roy
Design Space and Memory Technology Co-Exploration for In-Memory Computing Based Machine Learning Accelerators. ICCAD (2022)
Chun Tao, Deboleena Roy, Indranil Chakraborty, Kaushik Roy
On Noise Stability and Robustness of Adversarially Trained Networks on NVM Crossbars. IEEE Trans. Very Large Scale Integr. Syst. 30 (10) (2022)
Utkarsh Saxena, Indranil Chakraborty, Kaushik Roy
Towards ADC-Less Compute-In-Memory Accelerators for Energy Efficient Deep Learning. DATE (2022)
Shubham Negi, Indranil Chakraborty, Aayush Ankit, Kaushik Roy
NAX: neural architecture and memristive xbar based accelerator co-design. DAC (2022)
Adarsh Kosta, Efstathia Soufleri, Indranil Chakraborty, Amogh Agrawal, Aayush Ankit, Kaushik Roy
HyperX: A Hybrid RRAM-SRAM partitioned system for error recovery in memristive Xbars. DATE (2022)
Hussam Amrouch, Jian-Jia Chen, Kaushik Roy, Yuan Xie, Indranil Chakraborty, Wenqin Huangfu, Ling Liang, Fengbin Tu, Cheng Wang, Mikail Yayla
Brain-Inspired Computing: Adventure from Beyond CMOS Technologies to Beyond von Neumann Architectures ICCAD Special Session Paper. ICCAD (2021)
Yinghan Long, Indranil Chakraborty, Gopalakrishnan Srinivasan, Kaushik Roy
Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems. CoRR (2021)
Indranil Chakraborty, Sourjya Roy, Shrihari Sridharan, Mustafa Fayez Ali, Aayush Ankit, Shubham Jain, Anand Raghunathan
Design Tools for Resistive Crossbar based Machine Learning Accelerators. AICAS (2021)
Deboleena Roy, Indranil Chakraborty, Timur Ibrayev, Kaushik Roy
On the Intrinsic Robustness of NVM Crossbars Against Adversarial Attacks. DAC (2021)
Yinghan Long, Indranil Chakraborty, Gopalakrishnan Srinivasan, Kaushik Roy
Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems. ICDCS (2021)
Shubham Negi, Indranil Chakraborty, Aayush Ankit, Kaushik Roy
NAX: Co-Designing Neural Network and Hardware Architecture for Memristive Xbar based Computing Systems. CoRR (2021)
Jainaveen Sundaram, Srivatsa Rangachar Srinivasa, Dileep Kurian, Indranil Chakraborty, Sirisha Rani Kale, Nilesh Jain, Tanay Karnik, Ravi R. Iyer, Anuradha Srinivasan
A 93 TOPS/Watt Near-Memory Reconfigurable SAD Accelerator for HEVC/AV1/JEM Encoding. DATE (2021)
Deboleena Roy, Chun Tao, Indranil Chakraborty, Kaushik Roy
On the Noise Stability and Robustness of Adversarially Trained Networks on NVM Crossbars. CoRR (2021)
Amogh Agrawal, Indranil Chakraborty, Deboleena Roy, Utkarsh Saxena, Saima Sharmin, Minsuk Koo, Yong Shim, Gopalakrishnan Srinivasan, Chamika M. Liyanagedera, Abhronil Sengupta, Kaushik Roy
Revisiting Stochastic Computing in the Era of Nanoscale Nonvolatile Technologies. IEEE Trans. Very Large Scale Integr. Syst. 28 (12) (2020)
Kaushik Roy, Indranil Chakraborty, Mustafa Fayez Ali, Aayush Ankit, Amogh Agrawal
In-Memory Computing in Emerging Memory Technologies for Machine Learning: An Overview. DAC (2020)
Indranil Chakraborty, Mustafa Fayez Ali, Dong Eun Kim, Aayush Ankit, Kaushik Roy
GENIEx: A Generalized Approach to Emulating Non-Ideality in Memristive Xbars using Neural Networks. DAC (2020)
Yinghan Long, Indranil Chakraborty, Kaushik Roy
Conditionally Deep Hybrid Neural Networks Across Edge and Cloud. CoRR (2020)
Indranil Chakraborty, Deboleena Roy, Isha Garg, Aayush Ankit, Kaushik Roy
Constructing energy-efficient mixed-precision neural networks through principal component analysis for edge intelligence. Nat. Mach. Intell. 2 (1) (2020)
Deboleena Roy, Indranil Chakraborty, Timur Ibrayev, Kaushik Roy
Robustness Hidden in Plain Sight: Can Analog Computing Defend Against Adversarial Attacks? CoRR (2020)
Mustafa Fayez Ali, Akhilesh Jaiswal, Sangamesh Kodge, Amogh Agrawal, Indranil Chakraborty, Kaushik Roy
IMAC: In-memory multi-bit Multiplication andACcumulation in 6T SRAM Array. CoRR (2020)
Indranil Chakraborty, Mustafa Fayez Ali, Dong Eun Kim, Aayush Ankit, Kaushik Roy
GENIEx: A Generalized Approach to Emulating Non-Ideality in Memristive Xbars using Neural Networks. CoRR (2020)
Indranil Chakraborty, Mustafa Fayez Ali, Aayush Ankit, Shubham Jain, Sourjya Roy, Shrihari Sridharan, Amogh Agrawal, Anand Raghunathan, Kaushik Roy
Resistive Crossbars as Approximate Hardware Building Blocks for Machine Learning: Opportunities and Challenges. Proc. IEEE 108 (12) (2020)
Aayush Ankit, Indranil Chakraborty, Amogh Agrawal, Mustafa Fayez Ali, Kaushik Roy
Circuits and Architectures for In-Memory Computing-Based Machine Learning Accelerators. IEEE Micro 40 (6) (2020)
Mustafa Fayez Ali, Akhilesh Jaiswal, Sangamesh Kodge, Amogh Agrawal, Indranil Chakraborty, Kaushik Roy
IMAC: In-Memory Multi-Bit Multiplication and ACcumulation in 6T SRAM Array. IEEE Trans. Circuits Syst. I Regul. Pap. (8) (2020)
Akhilesh Jaiswal, Amogh Agrawal, Indranil Chakraborty, Mustafa Fayez Ali, Kaushik Roy
Digital and Analog-Mixed-Signal In-Memory Processing in CMOS SRAM. ACM Great Lakes Symposium on VLSI (2019)
Priyadarshini Panda, Indranil Chakraborty, Kaushik Roy
Discretization Based Solutions for Secure Machine Learning Against Adversarial Attacks. IEEE Access 7 (2019)
Akhilesh Jaiswal, Amogh Agrawal, Indranil Chakraborty, Deboleena Roy, Kaushik Roy
On Robustness of Spin-Orbit-Torque Based Stochastic Sigmoid Neurons for Spiking Neural Networks. IJCNN (2019)
Indranil Chakraborty, Deboleena Roy, Aayush Ankit, Kaushik Roy
Efficient Hybrid Network Architectures for Extremely Quantized Neural Networks Enabling Intelligence at the Edge. CoRR (2019)
Priyadarshini Panda, Indranil Chakraborty, Kaushik Roy
Discretization based Solutions for Secure Machine Learning against Adversarial Attacks. CoRR (2019)
Shubham Jain, Aayush Ankit, Indranil Chakraborty, Tayfun Gokmen, Malte J. Rasch, Wilfried Haensch, Kaushik Roy, Anand Raghunathan
Neural network accelerator design with resistive crossbars: Opportunities and challenges. IBM J. Res. Dev. 63 (6) (2019)
Deboleena Roy, Indranil Chakraborty, Kaushik Roy
Scaling Deep Spiking Neural Networks with Binary Stochastic Activations. ICCC (2019)
Akhilesh Jaiswal, Indranil Chakraborty, Amogh Agrawal, Kaushik Roy
8T SRAM Cell as a Multibit Dot-Product Engine for Beyond Von Neumann Computing. IEEE Trans. Very Large Scale Integr. Syst. 27 (11) (2019)
Indranil Chakraborty
Simultaneous vs. sequential auctions with risk averse bidders. Games Econ. Behav. 113 (2019)
Indranil Chakraborty, Deboleena Roy, Isha Garg, Aayush Ankit, Kaushik Roy
PCA-driven Hybrid network design for enabling Intelligence at the Edge. CoRR (2019)
Zubair Al Azim, Akhilesh Jaiswal, Indranil Chakraborty, Kaushik Roy
Capacitively Driven Global Interconnect with Magnetoelectric Switching Based Receiver for Higher Energy Efficiency. CoRR (2018)
Indranil Chakraborty, Gobinda Saha, Abhronil Sengupta, Kaushik Roy
All-Photonic Phase Change Spiking Neuron: Toward Fast Neural Computing using Light. CoRR (2018)
Akhilesh Jaiswal, Indranil Chakraborty, Amogh Agrawal, Kaushik Roy
8T SRAM Cell as a Multi-bit Dot Product Engine for Beyond von-Neumann Computing. CoRR (2018)
Indranil Chakraborty, Gobinda Saha, Kaushik Roy
Photonic Spiking Neural Networks - From Devices to Systems. CoRR (2018)
Indranil Chakraborty, Amogh Agrawal, Kaushik Roy
Proposal for a Low Voltage Analog-to-Digital Converter using Voltage Controlled Stochastic Switching of Low Barrier Nanomagnets. CoRR (2018)
Indranil Chakraborty, Deboleena Roy, Kaushik Roy
Technology Aware Training in Memristive Neuromorphic Systems for Nonideal Synaptic Crossbars. IEEE Trans. Emerg. Top. Comput. Intell. 2 (5) (2018)
Indranil Chakraborty, Deboleena Roy, Kaushik Roy
Technology Aware Training in Memristive Neuromorphic Systems based on non-ideal Synaptic Crossbars. CoRR (2017)
Akhilesh Jaiswal, Indranil Chakraborty, Kaushik Roy
Energy-Efficient Memories using Magneto-Electric Switching of Ferromagnets. CoRR (2017)
Pankaj Kumbhare, Indranil Chakraborty, A. K. Singh, S. Chouhan, Neeraj Panwar, Udayan Ganguly
A selectorless RRAM with record memory window and nonlinearity based on trap filled limit mechanism. NVMTS (2015)
Indranil Chakraborty, Paul Jen-Hwa Hu, Dai Cui
Examining the effects of cognitive style in individuals' technology use decision making. Decis. Support Syst. 45 (2) (2008)
Indranil Chakraborty
Bundle and separate sales in auctions with entry. Games Econ. Behav. 54 (1) (2006)
Indranil Chakraborty, Paul Jen-Hwa Hu, Dai Cui
Examining Effects of Cognitive Style on Technology Acceptance Decisions. PACIS (2005)