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ORCIDKrishnendu Chakrabarty
Person information
- affiliation: Arizona State University, USA
- affiliation (former): Duke University, Durham, NC, USA
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2020 – today
- 2023
[j359]Sanmitra Banerjee
, Mahdi Nikdast, Krishnendu Chakrabarty:
On the Impact of Uncertainties in Silicon-Photonic Neural Networks. IEEE Des. Test 40(2): 82-89 (2023)- [j358]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): 3686-3705 (2023) - [j357]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): 3720-3734 (2023) - [j356]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): 54-67 (2023) - [j355]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): 497-508 (2023) - [j354]Rana Elnaggar, Jayeeta Chaudhuri, Ramesh Karri, Krishnendu Chakrabarty:
Learning Malicious Circuits in FPGA Bitstreams. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(3): 726-739 (2023) - [j353]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): 1212-1222 (2023) - [j352]Biresh Kumar Joardar, Tyler K. Bletsch, Krishnendu Chakrabarty:
Machine Learning-Based Rowhammer Mitigation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(5): 1393-1405 (2023) - [j351]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): 2187-2199 (2023) - [j350]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): 2703-2716 (2023) - [j349]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): 3236-3249 (2023) - [j348]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): 303-317 (2023) - [j347]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): 296-309 (2023) - [c486]Jayeeta Chaudhuri, Krishnendu Chakrabarty:
Detection and Classification of Malicious Bitstreams for FPGAs in Cloud Computing. ASP-DAC 2023: 91-97 - [c485]Aritra Ray, Kyle Lafata, Zhaobo Zhang, Ying Xiong, Krishnendu Chakrabarty:
Privacy-preserving Job Scheduler for GPU Sharing. CCGridW 2023: 337-339 - [c484]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: 1 - [c483]Biresh Kumar Joardar, Krishnendu Chakrabarty:
Attacking ReRAM-based Architectures using Repeated Writes. DATE 2023: 1-6 - [c482]Jonti Talukdar, Arjun Chaudhuri, Jinwoo Kim, Sung Kyu Lim, Krishnendu Chakrabarty:
Securing Heterogeneous 2.5D ICs Against IP Theft through Dynamic Interposer Obfuscation. DATE 2023: 1-2 - [c481]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: 1-6 - [c480]Jayeeta Chaudhuri, Krishnendu Chakrabarty:
Criticality Analysis of Ring Oscillators in FPGA Bitstreams *. ETS 2023: 1-4 - [c479]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: 1-4 - [c478]Shao-Chun Hung, Arjun Chaudhuri, Krishnendu Chakrabarty:
Test-Point Insertion for Power-Safe Testing of Monolithic 3D ICs using Reinforcement Learning*. ETS 2023: 1-6 - [c477]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: 339-347 - [c476]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: 1-6 - [c475]Arjun Chaudhuri, Ching-Yuan Chen, Jonti Talukdar, Krishnendu Chakrabarty:
Functional Test Generation for AI Accelerators using Bayesian Optimization∗. VTS 2023: 1-6 - [c474]Shao-Chun Hung, Arjun Chaudhuri, Sanmitra Banerjee, Krishnendu Chakrabarty:
Special Session: Using Graph Neural Networks for Tier-Level Fault Localization in Monolithic 3D ICs *. VTS 2023: 1-4 - [i24]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 abs/2308.03249 (2023) - 2022
- [j346]Xing Huang, Tsung-Yi Ho, Wenzhong Guo, Bing Li, Krishnendu Chakrabarty, Ulf Schlichtmann:
Computer-aided Design Techniques for Flow-based Microfluidic Lab-on-a-chip Systems. ACM Comput. Surv. 54(5): 97:1-97:29 (2022) - [j345]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): 10224-10243 (2022) - [j344]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): 21:1-21:49 (2022) - [j343]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): 22:1-22:37 (2022) - [j342]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): 1261-1275 (2022) - [j341]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): 35-48 (2022) - [j340]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): 558-570 (2022) - [j339]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): 762-775 (2022) - [j338]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): 1537-1549 (2022) - [j337]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): 2052-2065 (2022) - [j336]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): 2066-2079 (2022) - [j335]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): 2170-2184 (2022) - [j334]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): 2301-2314 (2022) - [j333]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): 2348-2361 (2022) - [j332]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): 2490-2503 (2022) - [j331]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): 2504-2517 (2022) - [j330]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): 3626-3637 (2022) - [j329]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): 5657-5670 (2022) - [j328]Mengyun Liu, Krishnendu Chakrabarty:
Online Fault Detection in ReRAM-Based Computing Systems for Inferencing. IEEE Trans. Very Large Scale Integr. Syst. 30(4): 392-405 (2022) - [c473]Shao-Chun Hung, Sanmitra Banerjee, Arjun Chaudhuri, Krishnendu Chakrabarty:
Graph Neural Network-based Delay-Fault Localization for Monolithic 3D ICs. DATE 2022: 448-453 - [c472]Biresh Kumar Joardar, Tyler K. Bletsch, Krishnendu Chakrabarty:
Learning to Mitigate Rowhammer Attacks. DATE 2022: 564-567 - [c471]Mahmoud Elfar, Tung-Che Liang, Krishnendu Chakrabarty, Miroslav Pajic:
Adaptive Droplet Routing for MEDA Biochips via Deep Reinforcement Learning. DATE 2022: 640-645 - [c470]Shao-Chun Hung, Sanmitra Banerjee, Arjun Chaudhuri, Krishnendu Chakrabarty:
Graph Neural Network-based Delay-Fault Localization for Monolithic 3D ICs. DATE 2022: 1311-1316 - [c469]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: 1-6 - [c468]Jayeeta Chaudhuri, Krishnendu Chakrabarty:
Detection of Malicious FPGA Bitstreams using CNN-Based Learning. ETS 2022: 1-2 - [c467]Jonti Talukdar, Arjun Chaudhuri, Krishnendu Chakrabarty:
TaintLock: Preventing IP Theft through Lightweight Dynamic Scan Encryption using Taint Bits*. ETS 2022: 1-6 - [c466]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: 351-355 - [c465]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: 157:1-157:9 - [c464]Arjun Chaudhuri, Jonti Talukdar, Krishnendu Chakrabarty:
Machine Learning for Testing Machine-Learning Hardware: A Virtuous Cycle. ICCAD 2022: 160:1-160:6 - [c463]Aritra Ray, Jinyuan Jia, Sohini Saha, Jayeeta Chaudhuri, Neil Zhenqiang Gong, Krishnendu Chakrabarty:
Deep Neural Network Piration without Accuracy Loss. ICMLA 2022: 1032-1038 - [c462]Arjun Chaudhuri, Sanmitra Banerjee, Krishnendu Chakrabarty:
Structural Test Generation for AI Accelerators using Neural Twins. IOLTS 2022: 1-6 - [c461]Krishnendu Chakrabarty:
EDAML 2022 Invited Speaker 4: Fault Criticality Assessment in AI Accelerators. IPDPS Workshops 2022: 1185 - [c460]Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty:
NoC-enabled 3D Heterogeneous Manycore Systems for Big-Data Applications. ISQED 2022: 1-6 - [c459]Sanmitra Banerjee, Mahdi Nikdast, Sudeep Pasricha, Krishnendu Chakrabarty:
Pruning Coherent Integrated Photonic Neural Networks Using the Lottery Ticket Hypothesis. ISVLSI 2022: 128-133 - [c458]Arjun Chaudhuri, Jonti Talukdar, Krishnendu Chakrabarty:
Probabilistic Fault Grading for AI Accelerators using Neural Twins. ISVLSI 2022: 333-338 - [c457]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: 118-127 - [c456]Jonti Talukdar, Arjun Chaudhuri, Mayukh Bhattacharya, Krishnendu Chakrabarty:
Automatic Structural Test Generation for Analog Circuits using Neural Twins. ITC 2022: 145-154 - [c455]Sanmitra Banerjee, Mahdi Nikdast, Sudeep Pasricha, Krishnendu Chakrabarty:
CHAMP: Coherent Hardware-Aware Magnitude Pruning of Integrated Photonic Neural Networks. OFC 2022: 1-3 - [c454]Arjun Chaudhuri, Jonti Talukdar, Krishnendu Chakrabarty:
Special Session: Fault Criticality Assessment in AI Accelerators. VTS 2022: 1-4 - [c453]Renjian Pan, Xin Li, Krishnendu Chakrabarty:
Semi-Supervised Root-Cause Analysis with Co-Training for Integrated Systems. VTS 2022: 1-7 - [i23]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 abs/2204.03835 (2022) - [i22]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 abs/2204.09153 (2022) - [i21]Sanmitra Banerjee, Mahdi Nikdast, Krishnendu Chakrabarty:
Characterizing Coherent Integrated Photonic Neural Networks under Imperfections. CoRR abs/2207.10835 (2022) - [i20]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 abs/2209.01291 (2022) - [i19]Sukanta Bhattacharjee, Ansuman Banerjee, Krishnendu Chakrabarty, Bhargab B. Bhattacharya:
A Framework for Automated Correctness Checking of Biochemical Protocol Realizations on Digital Microfluidic Biochips. CoRR abs/2211.04719 (2022) - 2021
- [j327]Mohammed Shayan, Sukanta Bhattacharjee, Robert Wille, Krishnendu Chakrabarty, Ramesh Karri:
How Secure Are Checkpoint-Based Defenses in Digital Microfluidic Biochips? IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(1): 143-156 (2021) - [j326]Zhanwei Zhong, Guoliang Li, Qinfu Yang, Krishnendu Chakrabarty:
Access-Time Minimization for the IJTAG Network Using Data Broadcast and Hardware Parallelism. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(1): 185-198 (2021) - [j325]Renjian Pan, Zhaobo Zhang, Xin Li, Krishnendu Chakrabarty, Xinli Gu:
Black-Box Test-Cost Reduction Based on Bayesian Network Models. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(2): 386-399 (2021) - [j324]Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Hai Li, Krishnendu Chakrabarty:
AccuReD: High Accuracy Training of CNNs on ReRAM/GPU Heterogeneous 3-D Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(5): 971-984 (2021) - [j323]Benjamin Tan, Rana Elnaggar, Jason M. Fung, Ramesh Karri, Krishnendu Chakrabarty:
Toward Hardware-Based IP Vulnerability Detection and Post-Deployment Patching in Systems-on-Chip. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(6): 1158-1171 (2021) - [j322]Rana Elnaggar, Ramesh Karri, Krishnendu Chakrabarty:
Security Against Data-Sniffing and Alteration Attacks in IJTAG. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(7): 1301-1314 (2021) - [j321]Mengyun Liu, Fangming Ye, Xin Li, Krishnendu Chakrabarty, Xinli Gu:
Board-Level Functional Fault Identification Using Streaming Data. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(9): 1920-1933 (2021) - [j320]Zhanwei Zhong, Tung-Che Liang, Krishnendu Chakrabarty:
Enhancing the Reliability of MEDA Biochips Using IJTAG and Wear Leveling. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(10): 2063-2076 (2021) - [j319]Peng Liu, Zhiqiang You, Jigang Wu, Bosheng Liu, Yinhe Han, Krishnendu Chakrabarty:
Fault Modeling and Efficient Testing of Memristor-Based Memory. IEEE Trans. Circuits Syst. I Regul. Pap. 68(11): 4444-4455 (2021) - [j318]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): 55:1-55:23 (2021) - [j317]Mohammed Shayan, Sukanta Bhattacharjee, Ajymurat Orozaliev, Yong-Ak Song, Krishnendu Chakrabarty, Ramesh Karri:
Thwarting Bio-IP Theft Through Dummy-Valve-Based Obfuscation. IEEE Trans. Inf. Forensics Secur. 16: 2076-2089 (2021) - [j316]Sanmitra Banerjee, Arjun Chaudhuri, August Ning, Krishnendu Chakrabarty:
Variation-Aware Delay Fault Testing for Carbon-Nanotube FET Circuits. IEEE Trans. Very Large Scale Integr. Syst. 29(2): 409-422 (2021) - [j315]Aqeeb Iqbal Arka, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty:
Performance and Accuracy Tradeoffs for Training Graph Neural Networks on ReRAM-Based Architectures. IEEE Trans. Very Large Scale Integr. Syst. 29(10): 1743-1756 (2021) - [j314]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): 1875-1888 (2021) - [c452]Tung-Che Liang, Krishnendu Chakrabarty, Tatjana Abaffy, Hiroaki Matsunami, Ramesh Karri:
Securing Biochemical Samples Using Molecular Barcoding on Digital Microfluidic Biochips. BioCAS 2021: 1-6 - [c451]Ching-Yuan Chen, Krishnendu Chakrabarty:
Pruning of Deep Neural Networks for Fault-Tolerant Memristor-based Accelerators. DAC 2021: 889-894 - [c450]Sanmitra Banerjee, Mahdi Nikdast, Krishnendu Chakrabarty:
Modeling Silicon-Photonic Neural Networks under Uncertainties. DATE 2021: 98-101 - [c449]Sanmitra Banerjee, Arjun Chaudhuri, Shao-Chun Hung, Krishnendu Chakrabarty:
Advances in Testing and Design-for-Test Solutions for M3D Integrated Circuits. DATE 2021: 152-157 - [c448]Mahmoud Elfar, Tung-Che Liang, Krishnendu Chakrabarty, Miroslav Pajic:
Formal Synthesis of Adaptive Droplet Routing for MEDA Biochips. DATE 2021: 324-329 - [c447]Ching-Yuan Chen, Krishnendu Chakrabarty:
Efficient Identification of Critical Faults in Memristor Crossbars for Deep Neural Networks. DATE 2021: 1074-1077 - [c446]Arjun Chaudhuri, Jonti Talukdar, Jinwook Jung, Gi-Joon Nam, Krishnendu Chakrabarty:
Fault-Criticality Assessment for AI Accelerators using Graph Convolutional Networks. DATE 2021: 1596-1599 - [c445]Aqeeb Iqbal Arka, Janardhan Rao Doppa, Partha Pratim Pande, Biresh Kumar Joardar, Krishnendu Chakrabarty:
ReGraphX: NoC-enabled 3D Heterogeneous ReRAM Architecture for Training Graph Neural Networks. DATE 2021: 1667-1672 - [c444]Shubham Rai, Mengyun Liu, Anteneh Gebregiorgis, Debjyoti Bhattacharjee, Krishnendu Chakrabarty, Said Hamdioui, Anupam Chattopadhyay, Jens Trommer, Akash Kumar:
Perspectives on Emerging Computation-in-Memory Paradigms. DATE 2021: 1925-1934 - [c443]Aqeeb Iqbal Arka, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty:
DARe: DropLayer-Aware Manycore ReRAM architecture for Training Graph Neural Networks. ICCAD 2021: 1-9 - [c442]Sanmitra Banerjee, Arjun Chaudhuri, Jinwoo Kim, Gauthaman Murali, Mark Nelson, Sung Kyu Lim, Krishnendu Chakrabarty:
ParaMitE: Mitigating Parasitic CNFETs in the Presence of Unetched CNTs. ICCAD 2021: 1-9 - [c441]Biresh Kumar Joardar, Aqeeb Iqbal Arka, Janardhan Rao Doppa, Partha Pratim Pande, Hai Li, Krishnendu Chakrabarty:
Heterogeneous Manycore Architectures Enabled by Processing-in-Memory for Deep Learning: From CNNs to GNNs: (ICCAD Special Session Paper). ICCAD 2021: 1-7 - [c440]Xiaoxuan Yang, Syrine Belakaria, Biresh Kumar Joardar, Huanrui Yang, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, Hai Helen Li:
Multi-Objective Optimization of ReRAM Crossbars for Robust DNN Inferencing under Stochastic Noise. ICCAD 2021: 1-9 - [c439]Tung-Che Liang, Jin Zhou, Yun-Sheng Chan, Tsung-Yi Ho, Krishnendu Chakrabarty, Cy Lee:
Parallel Droplet Control in MEDA Biochips using Multi-Agent Reinforcement Learning. ICML 2021: 6588-6599 - [c438]Arjun Chaudhuri, Ching-Yuan Chen, Jonti Talukdar, Siddarth Madala, Abhishek Kumar Dubey, Krishnendu Chakrabarty:
Efficient Fault-Criticality Analysis for AI Accelerators using a Neural Twin∗. ITC 2021: 73-82 - [c437]Ching-Yuan Chen, Krishnendu Chakrabarty:
On-line Functional Testing of Memristor-mapped Deep Neural Networks using Backdoored Checksums. ITC 2021: 83-92 - [c436]Mengyun Liu, Krishnendu Chakrabarty:
Adaptive Methods for Machine Learning-Based Testing of Integrated Circuits and Boards. ITC 2021: 153-162 - [c435]Jonti Talukdar, Siyuan Chen, Amitabh Das, Sohrab Aftabjahani, Peilin Song, Krishnendu Chakrabarty:
A BIST-based Dynamic Obfuscation Scheme for Resilience against Removal and Oracle-guided Attacks*. ITC 2021: 170-179 - [c434]Arjun Chaudhuri, Krishnendu Chakrabarty:
Testing and Fault-Localization Solutions for Monolithic 3D ICs*. ITC-Asia 2021: 1-6 - [c433]Jin Zhou, Nick DeCapite, Jackson McNabb, Jose R. Ruiz, Deborah A. Fisher, Sonia Grego, Krishnendu Chakrabarty:
Stool Image Analysis for Precision Health Monitoring by Smart Toilets. MLHC 2021: 709-729 - [c432]Sanmitra Banerjee, Mahdi Nikdast, Krishnendu Chakrabarty:
Optimizing Coherent Integrated Photonic Neural Networks under Random Uncertainties. OFC 2021: 1-3 - [c431]Renjian Pan, Xin Li, Krishnendu Chakrabarty:
Unsupervised Root-Cause Analysis with Transfer Learning for Integrated Systems. VTS 2021: 1-6 - [i18]Aqeeb Iqbal Arka, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty:
ReGraphX: NoC-enabled 3D Heterogeneous ReRAM Architecture for Training Graph Neural Networks. CoRR abs/2102.07959 (2021) - [i17]