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ORCIDIndranil Chakraborty
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2020 – today
- 2024
[i19]Timur Ibrayev, Isha Garg, Indranil Chakraborty, Kaushik Roy:
Pruning for Improved ADC Efficiency in Crossbar-based Analog In-memory Accelerators. CoRR abs/2403.13082 (2024)- 2023
- [j14]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): 243:1-243:49 (2023) - [c17]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: 1-2 - [i18]Tanvi Sharma, Mustafa Fayez Ali, Indranil Chakraborty, Kaushik Roy:
WWW: What, When, Where to Compute-in-Memory. CoRR abs/2312.15896 (2023) - 2022
- [j13]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): 1448-1460 (2022) - [c16]Shubham Negi, Indranil Chakraborty, Aayush Ankit, Kaushik Roy:
NAX: neural architecture and memristive xbar based accelerator co-design. DAC 2022: 451-456 - [c15]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: 88-91 - [c14]Utkarsh Saxena, Indranil Chakraborty, Kaushik Roy:
Towards ADC-Less Compute-In-Memory Accelerators for Energy Efficient Deep Learning. DATE 2022: 624-627 - [c13]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: 91:1-91:9 - 2021
- [c12]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: 1-4 - [c11]Deboleena Roy, Indranil Chakraborty, Timur Ibrayev, Kaushik Roy:
On the Intrinsic Robustness of NVM Crossbars Against Adversarial Attacks. DAC 2021: 565-570 - [c10]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: 1400-1403 - [c9]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: 1-9 - [c8]Yinghan Long, Indranil Chakraborty, Gopalakrishnan Srinivasan, Kaushik Roy:
Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems. ICDCS 2021: 573-583 - [i17]Shubham Negi, Indranil Chakraborty, Aayush Ankit, Kaushik Roy:
NAX: Co-Designing Neural Network and Hardware Architecture for Memristive Xbar based Computing Systems. CoRR abs/2106.12125 (2021) - [i16]Yinghan Long, Indranil Chakraborty, Gopalakrishnan Srinivasan, Kaushik Roy:
Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems. CoRR abs/2109.06440 (2021) - [i15]Deboleena Roy, Chun Tao, Indranil Chakraborty, Kaushik Roy:
On the Noise Stability and Robustness of Adversarially Trained Networks on NVM Crossbars. CoRR abs/2109.09060 (2021) - 2020
- [j12]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): 8-22 (2020) - [j11]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): 43-55 (2020) - [j10]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): 2276-2310 (2020) - [j9]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. 67-I(8): 2521-2531 (2020) - [j8]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): 2481-2494 (2020) - [c7]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: 1-6 - [c6]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: 1-6 - [i14]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 abs/2003.06902 (2020) - [i13]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 abs/2003.12558 (2020) - [i12]Yinghan Long, Indranil Chakraborty, Kaushik Roy:
Conditionally Deep Hybrid Neural Networks Across Edge and Cloud. CoRR abs/2005.10851 (2020) - [i11]Deboleena Roy, Indranil Chakraborty, Timur Ibrayev, Kaushik Roy:
Robustness Hidden in Plain Sight: Can Analog Computing Defend Against Adversarial Attacks? CoRR abs/2008.12016 (2020)
2010 – 2019
- 2019
- [j7]Priyadarshini Panda, Indranil Chakraborty, Kaushik Roy:
Discretization Based Solutions for Secure Machine Learning Against Adversarial Attacks. IEEE Access 7: 70157-70168 (2019) - [j6]Indranil Chakraborty:
Simultaneous vs. sequential auctions with risk averse bidders. Games Econ. Behav. 113: 209-222 (2019) - [j5]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): 10:1-10:13 (2019) - [j4]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): 2556-2567 (2019) - [c5]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: 371 - [c4]Deboleena Roy, Indranil Chakraborty, Kaushik Roy:
Scaling Deep Spiking Neural Networks with Binary Stochastic Activations. ICCC 2019: 50-58 - [c3]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: 1-6 - [i10]Indranil Chakraborty, Deboleena Roy, Aayush Ankit, Kaushik Roy:
Efficient Hybrid Network Architectures for Extremely Quantized Neural Networks Enabling Intelligence at the Edge. CoRR abs/1902.00460 (2019) - [i9]Priyadarshini Panda, Indranil Chakraborty, Kaushik Roy:
Discretization based Solutions for Secure Machine Learning against Adversarial Attacks. CoRR abs/1902.03151 (2019) - [i8]Indranil Chakraborty, Deboleena Roy, Isha Garg, Aayush Ankit, Kaushik Roy:
PCA-driven Hybrid network design for enabling Intelligence at the Edge. CoRR abs/1906.01493 (2019) - 2018
- [j3]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): 335-344 (2018) - [i7]Akhilesh Jaiswal, Indranil Chakraborty, Amogh Agrawal, Kaushik Roy:
8T SRAM Cell as a Multi-bit Dot Product Engine for Beyond von-Neumann Computing. CoRR abs/1802.08601 (2018) - [i6]Zubair Al Azim, Akhilesh Jaiswal, Indranil Chakraborty, Kaushik Roy:
Capacitively Driven Global Interconnect with Magnetoelectric Switching Based Receiver for Higher Energy Efficiency. CoRR abs/1802.10431 (2018) - [i5]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 abs/1803.01431 (2018) - [i4]Indranil Chakraborty, Gobinda Saha, Abhronil Sengupta, Kaushik Roy:
All-Photonic Phase Change Spiking Neuron: Toward Fast Neural Computing using Light. CoRR abs/1804.00267 (2018) - [i3]Indranil Chakraborty, Gobinda Saha, Kaushik Roy:
Photonic Spiking Neural Networks - From Devices to Systems. CoRR abs/1808.01241 (2018) - 2017
- [i2]Akhilesh Jaiswal, Indranil Chakraborty, Kaushik Roy:
Energy-Efficient Memories using Magneto-Electric Switching of Ferromagnets. CoRR abs/1701.08208 (2017) - [i1]Indranil Chakraborty, Deboleena Roy, Kaushik Roy:
Technology Aware Training in Memristive Neuromorphic Systems based on non-ideal Synaptic Crossbars. CoRR abs/1711.08889 (2017) - 2015
- [c2]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: 1-3
2000 – 2009
- 2008
- [j2]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): 228-241 (2008) - 2006
- [j1]Indranil Chakraborty:
Bundle and separate sales in auctions with entry. Games Econ. Behav. 54(1): 31-46 (2006) - 2005
- [c1]Indranil Chakraborty, Paul Jen-Hwa Hu, Dai Cui:
Examining Effects of Cognitive Style on Technology Acceptance Decisions. PACIS 2005: 44
Coauthor Index
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