Krishnendu Chakrabarty

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 369

Top Venues

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

ITC

DATE

VTS

Publications

Xing Huang, Huayang Cai, Wenzhong Guo, Genggeng Liu, Tsung-Yi Ho, Krishnendu Chakrabarty, Ulf Schlichtmann
Control-Logic Synthesis of Fully Programmable Valve Array Using Reinforcement Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (1) (2024)
Jonti Talukdar, Woohyun Paik, Eduardo Ortega, Krishnendu Chakrabarty
ALT-Lock: Logic and Timing Ambiguity-Based IP Obfuscation Against Reverse Engineering. IEEE Trans. Very Large Scale Integr. Syst. 32 (8) (2024)
Renjian Pan, Xin Li, Krishnendu Chakrabarty
Root-Cause Analysis with Semi-Supervised Co-Training for Integrated Systems. ACM Trans. Design Autom. Electr. Syst. 29 (3) (2024)
Ching-Yuan Chen, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty
Mitigating Slow-to-Write Errors in Memristor-Mapped Graph Neural Networks Induced by Adversarial Attacks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (8) (2024)
Eduardo Ortega, Jonti Talukdar, Woohyun Paik, Tyler K. Bletsch, Krishnendu Chakrabarty
Rowhammer Vulnerability of DRAMs in 3-D Integration. IEEE Trans. Very Large Scale Integr. Syst. 32 (5) (2024)
Mohit Kumar, Abhik Kumar Khan, Sudip Roy, Krishnendu Chakrabarty, Sukanta Bhattacharjee
Accelerating Fluid Loading in Sample Preparation with Fully Programmable Valve Arrays. VLSID (2024)
Jayeeta Chaudhuri, Krishnendu Chakrabarty
Detection of Stealthy Bitstreams in Cloud FPGAs using Graph Convolutional Networks. ETS (2024)
Shiyi Jiang, Farshad Firouzi, Krishnendu Chakrabarty
Low-Overhead Clustered Federated Learning for Personalized Stress Monitoring. IEEE Internet Things J. 11 (3) (2024)
Shao-Chun Hung, Partho Bhoumik, Krishnendu Chakrabarty
Testing and Fault Diagnosis for Multi-level Resistive Random-Access Memory in Monolithic 3D Integration. VTS (2024)
Shao-Chun Hung, Arjun Chaudhuri, Sanmitra Banerjee, Krishnendu Chakrabarty
Fault Diagnosis for Resistive Random Access Memory and Monolithic Inter-Tier Vias in Monolithic 3-D Integration. IEEE Trans. Very Large Scale Integr. Syst. 32 (7) (2024)
Xing Huang, Jiaxuan Wang, Zhiwen Yu, Bin Guo, Tsung-Yi Ho, Ulf Schlichtmann, Krishnendu Chakrabarty
PathDriver-Wash: A Path-Driven Wash Optimization Method for Continuous-Flow Lab-on-a-Chip Systems. DATE (2024)
Aniruddha Datta, Bhanu Vikas Yaganti, Andrew Dove, Arik Peltz, Krishnendu Chakrabarty
Test-Fleet Optimization Using Machine Learning. ETS (2024)
Tung-Che Liang, Yi-Chen Chang, Zhanwei Zhong, Yaas Bigdeli, Tsung-Yi Ho, Krishnendu Chakrabarty, Richard B. Fair
Dynamic Adaptation Using Deep Reinforcement Learning for Digital Microfluidic Biochips. ACM Trans. Design Autom. Electr. Syst. 29 (2) (2024)
Navajit Singh Baban, Jiarui Zhou, Sarani Bhattacharya, Urbi Chatterjee, Sukanta Bhattacharjee, Sanjairaj Vijayavenkataraman, Yong-Ak Song, Debdeep Mukhopadhyay, Krishnendu Chakrabarty, Ramesh Karri
Physically Unclonable Fingerprints for Authentication. ACNS Workshops (2) (2024)
Wei-Kai Liu, Benjamin Tan, Jason M. Fung, Krishnendu Chakrabarty
Theoretical Patchability Quantification for IP-Level Hardware Patching Designs. ASPDAC (2024)
Chukwufumnanya Ogbogu, Aqeeb Iqbal Arka, Lukas Pfromm, Biresh Kumar Joardar, Janardhan Rao Doppa, Krishnendu Chakrabarty, Partha Pratim Pande
Accelerating Graph Neural Network Training on ReRAM-Based PIM Architectures via Graph and Model Pruning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (8) (2023)
Jin Zhou, Jackson McNabb, Nick DeCapite, Jose R. Ruiz, Deborah A. Fisher, Sonia Grego, Krishnendu Chakrabarty
Stool Image Analysis for Digital Health Monitoring By Smart Toilets. IEEE Internet Things J. 10 (5) (2023)
Wei-Kai Liu, Benjamin Tan, Jason M. Fung, Krishnendu Chakrabarty
Theoretical Patchability Quantification for IP-Level Hardware Patching Designs. CoRR (2023)
Wei-Kai Liu, Benjamin Tan, Krishnendu Chakrabarty
Monitor Placement for Fault Localization in Deep Neural Network Accelerators. CoRR (2023)
Peter Domanski, Aritra Ray, Farshad Firouzi, Kyle Lafata, Krishnendu Chakrabarty, Dirk Pflüger
Blood Glucose Prediction for Type-1 Diabetics using Deep Reinforcement Learning. ICDH (2023)
Shao-Chun Hung, Sanmitra Banerjee, Arjun Chaudhuri, Jinwoo Kim, Sung Kyu Lim, Krishnendu Chakrabarty
Transferable Graph Neural Network-Based Delay-Fault Localization for Monolithic 3-D ICs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (11) (2023)
Ching-Yuan Chen, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty
Attacking Memristor-Mapped Graph Neural Network by Inducing Slow-to-Write Errors. ETS (2023)
Mahmoud Elfar, Yi-Chen Chang, Harrison Hao-Yu Ku, Tung-Che Liang, Krishnendu Chakrabarty, Miroslav Pajic
Deep Reinforcement Learning-Based Approach for Efficient and Reliable Droplet Routing on MEDA Biochips. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (4) (2023)
Navajit Singh Baban, Sohini Saha, Sofija Jancheska, Jiarui Zhou, Sanjairaj Vijayavenkataraman, Sukanta Bhattacharjee, Yong-Ak Song, Krishnendu Chakrabarty, Ramesh Karri
Bio-FP: Biochip Fingerprints for Authentication. BioCAS (2023)
Jayeeta Chaudhuri, Krishnendu Chakrabarty
Detection and Classification of Malicious Bitstreams for FPGAs in Cloud Computing. ASP-DAC (2023)
Eduardo Ortega, Tyler K. Bletsch, Biresh Kumar Joardar, Jonti Talukdar, Woohyun Paik, Krishnendu Chakrabarty
Simply-Track-and-Refresh: Efficient and Scalable Rowhammer Mitigation. ITC (2023)
Xueying Wu, Edward Hanson, Nansu Wang, Qilin Zheng, Xiaoxuan Yang, Huanrui Yang, Shiyu Li, Feng Cheng, Partha Pratim Pande, Janardhan Rao Doppa, Krishnendu Chakrabarty, Hai Li
Block-Wise Mixed-Precision Quantization: Enabling High Efficiency for Practical ReRAM-based DNN Accelerators. CoRR (2023)
Chukwufumnanya Ogbogu, Soumen Mohapatra, Biresh Kumar Joardar, Janardhan Rao Doppa, Deuk Heo, Krishnendu Chakrabarty, Partha Pratim Pande
Energy-Efficient ReRAM-Based ML Training via Mixed Pruning and Reconfigurable ADC. ISLPED (2023)
Jayeeta Chaudhuri, Krishnendu Chakrabarty
Diagnosis of Malicious Bitstreams in Cloud Computing FPGAs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (11) (2023)
Shao-Chun Hung, Arjun Chaudhuri, Sanmitra Banerjee, Krishnendu Chakrabarty
Scan Cell Segmentation Based on Reinforcement Learning for Power-Safe Testing of Monolithic 3D ICs. ITC (2023)
Arjun Chaudhuri, Ching-Yuan Chen, Jonti Talukdar, Krishnendu Chakrabarty
. VTS (2023)
Amin Shafiee, Sanmitra Banerjee, Krishnendu Chakrabarty, Sudeep Pasricha, Mahdi Nikdast
Analysis of Optical Loss and Crosstalk Noise in MZI-based Coherent Photonic Neural Networks. CoRR (2023)
Biresh Kumar Joardar, Krishnendu Chakrabarty
Attacking ReRAM-based Architectures using Repeated Writes. DATE (2023)
Biresh Kumar Joardar, Tyler K. Bletsch, Krishnendu Chakrabarty
Machine Learning-Based Rowhammer Mitigation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (5) (2023)
Farshad Firouzi, Krishnendu Chakrabarty, Naghmeh Karimi, Bahareh J. Farahani, Diana Goehringer, Aurora Gil de Castro, Marc Reichenbach, Kun-Chih Chen
Welcome Message from the Chairs. COINS (2023)
Rana Elnaggar, Jayeeta Chaudhuri, Ramesh Karri, Krishnendu Chakrabarty
Learning Malicious Circuits in FPGA Bitstreams. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (3) (2023)
Arjun Chaudhuri, Sanmitra Banerjee, Jinwoo Kim, Sung Kyu Lim, Krishnendu Chakrabarty
Built-In Self-Test of High-Density and Realistic ILV Layouts in Monolithic 3-D ICs. IEEE Trans. Very Large Scale Integr. Syst. 31 (3) (2023)
Dhruv Thapar, Simon Thomann, Arjun Chaudhuri, Hussam Amrouch, Krishnendu Chakrabarty
Analysis and Characterization of Defects in FeFETs. ITC (2023)
Jayeeta Chaudhuri, Krishnendu Chakrabarty
. ETS (2023)
Navajit Singh Baban, Ajymurat Orozaliev, Yong-Ak Song, Urbi Chatterjee, Sankalp Bose, Sukanta Bhattacharjee, Ramesh Karri, Krishnendu Chakrabarty
Biochip-PUF: Physically Unclonable Function for Microfluidic Biochips. ITC (2023)
Sanmitra Banerjee, Mahdi Nikdast, Krishnendu Chakrabarty
On the Impact of Uncertainties in Silicon-Photonic Neural Networks. IEEE Des. Test 40 (2) (2023)
Jonti Talukdar, Arjun Chaudhuri, Jinwoo Kim, Sung Kyu Limt, Krishnendu Chakrabarty
Securing Heterogeneous 2.5D ICs Against IP Theft through Dynamic Interposer Obfuscation. DATE (2023)
Aritra Ray, Kyle Lafata, Zhaobo Zhang, Ying Xiong, Krishnendu Chakrabarty
Privacy-preserving Job Scheduler for GPU Sharing. CCGridW (2023)
Chung-Hsuan Tung, Biresh Kumar Joardar, Partha Pratim Pande, Janardhan Rao Doppa, Hai Helen Li, Krishnendu Chakrabarty
Dynamic Task Remapping for Reliable CNN Training on ReRAM Crossbars. DATE (2023)
Shao-Chun Hung, Arjun Chaudhuri, Sanmitra Banerjee, Krishnendu Chakrabarty
. VTS (2023)
Ling Zhang, Zipeng Li, Xing Huang, Krishnendu Chakrabarty
Enhanced Built-In Self-Diagnosis and Self-Repair Techniques for Daisy-Chain Design in MEDA Digital Microfluidic Biochips. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (10) (2023)
Biresh Kumar Joardar, Janardhan Rao Doppa, Hai (Helen) Li, Krishnendu Chakrabarty, Partha Pratim Pande
ReaLPrune: ReRAM Crossbar-Aware Lottery Ticket Pruning for CNNs. IEEE Trans. Emerg. Top. Comput. 11 (2) (2023)
Xiaoxuan Yang, Huanrui Yang, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, Hai Li
ESSENCE: Exploiting Structured Stochastic Gradient Pruning for Endurance-Aware ReRAM-Based In-Memory Training Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (7) (2023)
Renjian Pan, Xin Li, Krishnendu Chakrabarty
Unsupervised Two-Stage Root-Cause Analysis With Transfer Learning for Integrated Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (2) (2023)
Shao-Chun Hung, Arjun Chaudhuri, Krishnendu Chakrabarty
. ETS (2023)
Farshad Firouzi, Shiyi Jiang, Krishnendu Chakrabarty, Bahareh J. Farahani, Mahmoud Daneshmand, Jaeseung Song, Kunal Mankodiya
Fusion of IoT, AI, Edge-Fog-Cloud, and Blockchain: Challenges, Solutions, and a Case Study in Healthcare and Medicine. IEEE Internet Things J. 10 (5) (2023)
Wei-Kai Liu, Benjamin Tan, Jason M. Fung, Ramesh Karri, Krishnendu Chakrabarty
Hardware-Supported Patching of Security Bugs in Hardware IP Blocks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (1) (2023)
Arjun Chaudhuri, Jonti Talukdar, Fei Su, Krishnendu Chakrabarty
Functional Criticality Analysis of Structural Faults in AI Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (12) (2022)
Aritra Ray, Jinyuan Jia, Sohini Saha, Jayeeta Chaudhuri, Neil Zhenqiang Gong, Krishnendu Chakrabarty
Deep Neural Network Piration without Accuracy Loss. ICMLA (2022)
Sanmitra Banerjee, Mahdi Nikdast, Sudeep Pasricha, Krishnendu Chakrabarty
CHAMP: Coherent Hardware-Aware Magnitude Pruning of Integrated Photonic Neural Networks. OFC (2022)
Debraj Kundu, Sudip Roy, Sukanta Bhattacharjee, Sohini Saha, Krishnendu Chakrabarty, Partha Pratim Chakrabarti, Bhargab B. Bhattacharya
Mixing Models as Integer Factorization: A Key to Sample Preparation With Microfluidic Biochips. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (3) (2022)
Amin Shafiee, Sanmitra Banerjee, Krishnendu Chakrabarty, Sudeep Pasricha, Mahdi Nikdast
LoCI: An Analysis of the Impact of Optical Loss and Crosstalk Noise in Integrated Silicon-Photonic Neural Networks. CoRR (2022)
Sanmitra Banerjee, Mahdi Nikdast, Krishnendu Chakrabarty
Characterizing Coherent Integrated Photonic Neural Networks under Imperfections. CoRR (2022)
Navajit Singh Baban, Sohini Saha, Ajymurat Orozaliev, Jongmin Kim, Sukanta Bhattacharjee, Yong-Ak Song, Ramesh Karri, Krishnendu Chakrabarty
Structural Attacks and Defenses for Flow-Based Microfluidic Biochips. IEEE Trans. Biomed. Circuits Syst. 16 (6) (2022)
Baleegh Ahmad, Wei-Kai Liu, Luca Collini, Hammond Pearce, Jason M. Fung, Jonathan Valamehr, Mohammad Bidmeshki, Piotr Sapiecha, Steve Brown, Krishnendu Chakrabarty, Ramesh Karri, Benjamin Tan
Don't CWEAT It: Toward CWE Analysis Techniques in Early Stages of Hardware Design. CoRR (2022)
Baleegh Ahmad, Wei-Kai Liu, Luca Collini, Hammond Pearce, Jason M. Fung, Jonathan Valamehr, Mohammad Bidmeshki, Piotr Sapiecha, Steve Brown, Krishnendu Chakrabarty, Ramesh Karri, Benjamin Tan
Don't CWEAT It: Toward CWE Analysis Techniques in Early Stages of Hardware Design. ICCAD (2022)
Biresh Kumar Joardar, Aryan Deshwal, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty
High-Throughput Training of Deep CNNs on ReRAM-Based Heterogeneous Architectures via Optimized Normalization Layers. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (5) (2022)
Arjun Chaudhuri, Chunsheng Liu, Xiaoxin Fan, Krishnendu Chakrabarty
C-Testing and Efficient Fault Localization for AI Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (7) (2022)
Jonti Talukdar, Arjun Chaudhuri, Mayukh Bhattacharya, Krishnendu Chakrabarty
Automatic Structural Test Generation for Analog Circuits using Neural Twins. ITC (2022)
Arjun Chaudhuri, Jonti Talukdar, Krishnendu Chakrabarty
Probabilistic Fault Grading for AI Accelerators using Neural Twins. ISVLSI (2022)
Chukwufumnanya Ogbogu, Aqeeb Iqbal Arka, Biresh Kumar Joardar, Janardhan Rao Doppa, Hai Helen Li, Krishnendu Chakrabarty, Partha Pratim Pande
Accelerating Large-Scale Graph Neural Network Training on Crossbar Diet. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (11) (2022)
Amin Shafiee, Sanmitra Banerjee, Krishnendu Chakrabarty, Sudeep Pasricha, Mahdi Nikdast
LoCI: An Analysis of the Impact of Optical Loss and Crosstalk Noise in Integrated Silicon-Photonic Neural Networks. ACM Great Lakes Symposium on VLSI (2022)
Mengyun Liu, Xin Li, Krishnendu Chakrabarty, Xinli Gu
Knowledge Transfer in Board-Level Functional Fault Diagnosis Enabled by Domain Adaptation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (3) (2022)
Arjun Chaudhuri, Jonti Talukdar, Krishnendu Chakrabarty
Special Session: Fault Criticality Assessment in AI Accelerators. VTS (2022)
Shao-Chun Hung, Sanmitra Banerjee, Arjun Chaudhuri, Krishnendu Chakrabarty
Graph Neural Network-based Delay-Fault Localization for Monolithic 3D ICs. DATE (2022)
Hussam Amrouch, Krishnendu Chakrabarty, Dirk Pflüger, Ilia Polian, Matthias Sauer, Matteo Sonza Reorda
Machine Learning for Test, Diagnosis, Post-Silicon Validation and Yield Optimization. ETS (2022)
Ching-Yuan Chen, Krishnendu Chakrabarty
Efficient Identification of Critical Faults in Memristor-Based Inferencing Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (7) (2022)
Shiyi Jiang, Farshad Firouzi, Krishnendu Chakrabarty, Eric B. Elbogen
A Resilient and Hierarchical IoT-Based Solution for Stress Monitoring in Everyday Settings. IEEE Internet Things J. 9 (12) (2022)
Mahmoud Elfar, Tung-Che Liang, Krishnendu Chakrabarty, Miroslav Pajic
Formal Synthesis of Adaptive Droplet Routing for MEDA Biochips. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (8) (2022)
Mohamed Ibrahim, Zhanwei Zhong, Bhargab B. Bhattacharya, Krishnendu Chakrabarty
Efficient Regulation of Synthetic Biocircuits Using Droplet-Aliquot Operations on MEDA Biochips. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (8) (2022)
Renjian Pan, Zhaobo Zhang, Xin Li, Krishnendu Chakrabarty, Xinli Gu
Unsupervised Two-Stage Root-Cause Analysis for Integrated Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (7) (2022)
Sukanta Bhattacharjee, Ansuman Banerjee, Krishnendu Chakrabarty, Bhargab B. Bhattacharya
A Framework for Automated Correctness Checking of Biochemical Protocol Realizations on Digital Microfluidic Biochips. CoRR (2022)
Jayeeta Chaudhuri, Krishnendu Chakrabarty
Detection of Malicious FPGA Bitstreams using CNN-Based Learning. ETS (2022)
Arjun Chaudhuri, Jonti Talukdar, Krishnendu Chakrabarty
Machine Learning for Testing Machine-Learning Hardware: A Virtuous Cycle. ICCAD (2022)
Lingjun Zhu, Arjun Chaudhuri, Sanmitra Banerjee, Gauthaman Murali, Pruek Vanna-Iampikul, Krishnendu Chakrabarty, Sung Kyu Lim
Design Automation and Test Solutions for Monolithic 3D ICs. ACM J. Emerg. Technol. Comput. Syst. 18 (1) (2022)
Sanmitra Banerjee, Mahdi Nikdast, Sudeep Pasricha, Krishnendu Chakrabarty
Pruning Coherent Integrated Photonic Neural Networks Using the Lottery Ticket Hypothesis. ISVLSI (2022)
Rana Elnaggar, Kanad Basu, Krishnendu Chakrabarty, Ramesh Karri
Runtime Malware Detection Using Embedded Trace Buffers. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (1) (2022)
Arjun Chaudhuri, Sanmitra Banerjee, Jinwoo Kim, Heechun Park, Bon Woong Ku, Sukeshwar Kannan, Krishnendu Chakrabarty, Sung Kyu Lim
Built-in Self-Test and Fault Localization for Inter-Layer Vias in Monolithic 3D ICs. ACM J. Emerg. Technol. Comput. Syst. 18 (1) (2022)
Biresh Kumar Joardar, Tyler K. Bletsch, Krishnendu Chakrabarty
Learning to Mitigate Rowhammer Attacks. DATE (2022)
Mengyun Liu, Krishnendu Chakrabarty
Online Fault Detection in ReRAM-Based Computing Systems for Inferencing. IEEE Trans. Very Large Scale Integr. Syst. 30 (4) (2022)
Rana Elnaggar, Lorenzo Servadei, Shubham Mathur, Robert Wille, Wolfgang Ecker, Krishnendu Chakrabarty
Accurate and Robust Malware Detection: Running XGBoost on Runtime Data From Performance Counters. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (7) (2022)
Shao-Chun Hung, Arjun Chaudhuri, Sanmitra Banerjee, Krishnendu Chakrabarty
Fault Diagnosis for Resistive Random-Access Memory and Monolithic Inter-tier Vias in Monolithic 3D Integration. ITC (2022)
Rana Elnaggar, Siyuan Chen, Peilin Song, Krishnendu Chakrabarty
Securing SoCs With FPGAs Against Rowhammer Attacks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (7) (2022)
Renjian Pan, Xin Li, Krishnendu Chakrabarty
Semi-Supervised Root-Cause Analysis with Co-Training for Integrated Systems. VTS (2022)
Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty
NoC-enabled 3D Heterogeneous Manycore Systems for Big-Data Applications. ISQED (2022)
Krishnendu Chakrabarty
EDAML 2022 Invited Speaker 4: Fault Criticality Assessment in AI Accelerators. IPDPS Workshops (2022)
Shao-Chun Hung, Sanmitra Banerjee, Arjun Chaudhuri, Krishnendu Chakrabarty
Graph Neural Network-based Delay-Fault Localization for Monolithic 3D ICs. DATE (2022)
Arjun Chaudhuri, Sanmitra Banerjee, Krishnendu Chakrabarty
Structural Test Generation for AI Accelerators using Neural Twins. IOLTS (2022)
Jonti Talukdar, Arjun Chaudhuri, Krishnendu Chakrabarty
. ETS (2022)
Mahmoud Elfar, Tung-Che Liang, Krishnendu Chakrabarty, Miroslav Pajic
Adaptive Droplet Routing for MEDA Biochips via Deep Reinforcement Learning. DATE (2022)
Asif Mirza, Amin Shafiee, Sanmitra Banerjee, Krishnendu Chakrabarty, Sudeep Pasricha, Mahdi Nikdast
Characterization and Optimization of Integrated Silicon-Photonic Neural Networks under Fabrication-Process Variations. CoRR (2022)
Ching-Yuan Chen, Krishnendu Chakrabarty
Efficient Identification of Critical Faults in Memristor Crossbars for Deep Neural Networks. DATE (2021)
Arjun Chaudhuri, Jonti Talukdar, Jinwook Jung, Gi-Joon Nam, Krishnendu Chakrabarty
Fault-Criticality Assessment for AI Accelerators using Graph Convolutional Networks. DATE (2021)
Biresh Kumar Joardar, Janardhan Rao Doppa, Hai Li, Krishnendu Chakrabarty, Partha Pratim Pande
Learning to Train CNNs on Faulty ReRAM-based Manycore Accelerators. ACM Trans. Embed. Comput. Syst. 20 (5s) (2021)
Shao-Chun Hung, Yi-Chen Lu, Sung Kyu Lim, Krishnendu Chakrabarty
Power Supply Noise-Aware At-Speed Delay Fault Testing of Monolithic 3-D ICs. IEEE Trans. Very Large Scale Integr. Syst. 29 (11) (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Krishnendu Chakrabarty