ICSRL

Integrated Circuits & Systems Research Lab

Journals and Conference Articles

For the most up-to-date list of publications, please refer to our Google Scholar page Here

(Disclaimer: documents are for academic purpose only)

2022

  1. Minxiang Gong, Hua Chen, Xin Zhang, Rinkle Jain, Arijit Raychowdhury, “A 94% Peak Efficiency 48-to-1-V GaN/Si Hybrid Converter With Three-Level Hybrid Dickson Topology and Gradient Descent Run-Time Optimizer”, in IEEE Journal of Solid-State Circuits (JSSC), Dec. 2022. [PDF]
  2. Zishen Wan, Karthik Swaminathan, Pin-Yu Chen, Nandhini Chandramoorthy, Arijit Raychowdhury, “Analyzing and Improving Resilience and Robustness of Autonomous Systems”, in IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Nov. 2022. [PDF]
  3. Ashwin Sanjay Lele, Yan Fang, Aqeel Anwar and Arijit Raychowdhury, “Bio-mimetic high-speed target localization with fused frame and event vision for edge application”, in Frontiers in Neuroscience (Front. Neurosci.), Nov. 2022. [PDF]
  4. Foroozan Karimzadeh, Arijit Raychowdhury, “Towards Energy Efficient DNN accelerator via Sparsified Gradual Knowledge Distillation”, in IFIP/IEEE 30th International Conference on Very Large Scale Integration (VLSI-SoC), Oct. 2022. [PDF]
  5. Foroozan Karimzadeh, Arijit Raychowdhury, “Towards CIM-friendly and Energy-Efficient DNN Accelerator via Bit-level Sparsity”, in IFIP/IEEE 30th International Conference on Very Large Scale Integration (VLSI-SoC), Oct. 2022. [PDF]
  6. Ashwin Bhat, Adou Sangbone Assoa, Arijit Raychowdhury, “Gradient Backpropagation based Feature Attribution to Enable Explainable-AI on the Edge”, in IFIP/IEEE 30th International Conference on Very Large Scale Integration (VLSI-SoC), Oct. 2022. [PDF]
  7. Rakshith Saligram, Suman Datta, Arijit Raychowdhury, “Design Space Exploration of Interconnect Materials for Cryogenic Operation: Electrical and Thermal Analyses”, in in: IEEE Transactions on Circuits and Systems I: Regular Papers (IEEE TCAS-I), Aug. 2022. [PDF]
  8. Mithilesh Kumar, Alak Majumder, Abir J Mondal, Arijit Raychowdhury, Bidyut K Bhattacharyya, “A low power and PVT variation tolerant mux-latch for serializer interface and on-chip serial link”, in Integration, the VLSI journal, Aug. 2022. [PDF]
  9. Brian Crafton, Zishen Wan, Samuel Spetalnick, Jong-Hyeok Yoon, Wei Wu, Carlos Tokunaga, Vivek De, Arijit Raychowdhury, “Improving Compute In-Memory ECC Reliability with Successive Correction”, in ACM/IEEE Design Automation Conference (DAC), July. 2022. [PDF]
  10. W Chakraborty, P Shrestha, A Gupta, R Saligram, S Spetalnick, J Campbell, A Raychowdhury, S Datta, “Multi-bit per-cell 1T SiGe Floating Body RAM for Cache Memory in Cryogenic Computing”, in IEEE Symposium on VLSI Technology and Circuits (VLSI), July. 2022. [PDF]
  11. Minxiang Gong, Xin Zhang, Arijit Raychowdhury, “A 90.4% Peak Efficiency 48V/1V Three-Level Hybrid Dickson Converter with Gradient Descent Run-Time Optimizer and GaN/Si Hybrid Conversion”, in IEEE Symposium on VLSI Technology and Circuits (VLSI), July. 2022. [PDF]
  12. Anupam Golder, Ashwin Bhat, Arijit Raychowdhury, “Exploration into the Explainability of Neural Network Models for Power Side-Channel Analysis”, in Proceedings of the Great Lakes Symposium on VLSI (GLSVLSI), Jun. 2022. [PDF]
  13. Zishen Wan, Ashwin Lele, Bo Yu, Shaoshan Liu, Yu Wang, Vijay Janapa Reddi, Cong Hao, Arijit Raychowdhury, “Robotic Computing on FPGAs: Current Progress, Research Challenges, and Opportunities”, in IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), Jun. 2022. [PDF]
  14. Leslie C Wang, Anupam Golder, Yan Fang, Arijit Raychowdhury, “Power Side-Channel Leakage Assessment of Reference Implementation of SABER Key Encapsulation Mechanism”, in Opportunity Research Scholars Symposium (ORSS), Jun. 2022. [PDF]
  15. Connor Talley, Brian Crafton, Samuel D Spetalnick, Muya Chang, Arijit Raychowdhury, “Experimental Fault Rate Characterization and Protection in Embedded RRAM”, in Opportunity Research Scholars Symposium (ORSS), Jun. 2022. [PDF]
  16. Albert Ting*, Johnathan Law*, Ashwin Lele, Yan Fang, Arijit Raychowdhury, “A Comparison of CNNs and LSTMs for EEG Signal Classification”, in Opportunity Research Scholars Symposium (ORSS), Jun. 2022. [PDF]
  17. Ashwin Sanjay Lele, Arijit Raychowdhury, “Fusing frame and event vision for high-speed optical flow for edge application”, in IEEE International Symposium on Circuits and Systems (ISCAS), May. 2022. [PDF]
  18. Brian Crafton, Connor Talley, Samuel Spetalnick, Jong-Hyeok Yoon, Arijit Raychowdhury, “Characterization and Mitigation of IR-Drop in RRAM-based Compute In-Memory”, in IEEE International Symposium on Circuits and Systems (ISCAS), May. 2022. [PDF]
  19. Muya Chang, Xunzhao Yin, Zoltan Toroczkai, Xiaobo Hu, Arijit Raychowdhury, “An Analog Clock-free Compute Fabric base on Continuous-Time Dynamical System for Solving Combinatorial Optimization Problems”, in IEEE Custom Integrated Circuits Conference (CICC), Apr. 2022. [PDF]
  20. Qiang Liu*, Zishen Wan*, Bo Yu*, Weizhuang Liu, Shaoshan Liu, Arijit Raychowdhury, “An Energy-Efficient and Runtime-Reconfigurable FPGA-Based Accelerator for Robotic Localization Systems”, in IEEE Custom Integrated Circuits Conference (CICC), Apr. 2022. [PDF]
  21. Ningyuan Cao, Baibhab Chatterjee, Jianbo Liu, Boyang Cheng, Minxiang Gong, Muya Chang, Shreyas Sen, Arijit Raychowdhury, “A 65 nm Wireless Image SoC Supporting On-Chip DNN Optimization and Real-Time Computation-Communication Trade-Off via Actor-Critical Neuro-Controller”, in IEEE Journal of Solid-State Circuits (JSSC), Mar. 2022. [PDF]
  22. Zishen Wan, Aqeel Anwar, Abdulrahman Mahmoud, Tianyu Jia, Yu-Shun Hsiao, Vijay Janapa Reddi, Arijit Raychowdhury, “FRL-FI: Transient Fault Analysis for Federated Reinforcement Learning-Based Navigation Systems”, in Design Automation and Test in Europe Conference (DATE), Mar. 2022. [PDF]
  23. Muya Chang, Samuel D Spetalnick, Brian Crafton, Win-San Khwa, Yu-Der Chih, Meng-Fan Chang, Arijit Raychowdhury, “A 40nm 60.64TOPS/W ECC Capable Compute-in-Memory/Digital 2.25MB/768KKB RRAM/SRAM System with Embedded Cortex M3 Microprocessor for Edge Devices”, in IEEE International Solid-State Circuits Conference (ISSCC), Feb. 2022. [PDF]
  24. Samuel D Spetalnick, Muya Chang, Brian Crafton, Win-San Khwa, Yu-Der Chih, Meng-Fan Chang, Arijit Raychowdhury, “A 40nm 64kb 26.56TOPS/W 2.37Mb/mm2 RRAM Binary/Compute-in-Memory Macro with 4.23× Improvement in Density and >75% Use of Sensing Dynamic Range”, in IEEE International Solid-State Circuits Conference (ISSCC), Feb. 2022. [PDF]
  25. Foroozan Karimzadeh, Jong-Hyeok Yoon, Arijit Raychowdhury, “BitS-Net: Bit-Sparse Deep Neural Network for Energy-Efficient RRAM-Based Compute-In-Memory”, in IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I), Feb. 2022. [PDF]
  26. Jong-Hyeok Yoon, Muya Chang, Win-San Khwa, Yu-Der Chih, Meng-Fan Chang, Arijit Raychowdhury, “A 40-nm 118.44-TOPS/W Voltage-Sensing Compute-in-Memory RRAM Macro With Write Verification and Multi-Bit Encoding”, in IEEE Journal of Solid-State Circuits (JSSC), Jan. 2022. [PDF]
  27. Samuel Spetalnick, Arijit Raychowdhury, “A Practical Design-Space Analysis of Compute-in-Memory With SRAM”, in IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I), Jan. 2022. [PDF]
  28. Zishen Wan, Ashwin Lele, Arijit Raychowdhury, “Circuit and System Technologies for Energy-Efficient Edge Robotics”, in 27th Asia and South Pacific Design Automation Conference (ASP-DAC), Jan. 2022. [PDF]

2021

  1. Zishen Wan, Aqeel Anwar, Yu-Shun Hsiao, Tianyu Jia, Vijay Janapa Reddi, Arijit Raychowdhury, “Analyzing and Improving Fault Tolerance of Learning-Based Navigation Systems”, in 58th IEEE/ACM Design Automation Conference (DAC), Dec, 2021. [PDF]
  2. Wriddi Chakraborty, Rakshith Saligram, Aniket Gupta, M. San Jose,  Akif Aabrar, Sourav Dutta, Abhishek Khanna, Arijit Raychowdhury, Suman Datta, “Pseudo-Static 1T Capacitorless DRAM using 22nm FDSOI for Cryogenic Cache Memory”, in 67th IEEE International Electron Device Meeting (IEDM), Dec, 2021.
  3. Sihan Zeng, Malik Aqeel Anwar, Thinh T Doan, Arijit Raychowdhury, Justin Romberg, “A decentralized policy gradient approach to multi-task reinforcement learning”, in 37th Conference on Uncertainty in Artificial Intelligence (UAI), Dec, 2021. [PDF]
  4. Brian Crafton, Samuel Spetalnick, Jong-Hyeok Yoon, Wei Wu, Carlos Tokunaga, Vivek De, Arijit Raychowdhury, “CIM-SECDED: A 40nm 64Kb Compute In-Memory RRAM Macro with ECC Enabling Reliable Operation“, in IEEE Asian Solid-State Circuits Conference (A-SSCC), Nov, 2021. [PDF]
  5. Rakshith Saligram, Wriddhi Chakraborty, Ningyuan Cao, Yu Cao, Suman Datta, Arijit Raychowdhury, “Power Performance Analysis of Digital Standard Cells for 28nm Bulk CMOS at Cryogenic Temperature using BSIM models”, in IEEE Journal on Exploratory Solid-State Computational Devices and Circuits (JXCDC), Nov, 2021. [PDF]
  6. Wriddhi Chakraborty, Khandker Akif Aabrar, Jorge Gomez, Rakshith Saligram, Arijit Raychowdhury, Patrick Fay, Suman Datta, “Characterization and Modeling of 22nm FDSOI Cryogenic RF CMOS”, in IEEE Journal on Exploratory Solid-State Computational Devices and Circuits (JXCDC), Nov, 2021. [PDF]
  7. Rakshith Saligram, Suman Datta, Arijit Raychowdhury, “CryoMem: A 4–300-K 1.3-GHz Hybrid 2T-Gain-Cell-Based eDRAM Macro in 28-nm Logic Process for Cryogenic Applications”, in IEEE Solid-State Circuits Letters (SSC-L), Nov, 2021. [PDF]
  8. Rakshith Saligram, Suman Datta, Arijit Raychowdhury, “Scaled Back End of Line Interconnects at Cryogenic Temperatures”, in IEEE Electron Device Letters (EDL), Oct, 2021. [PDF]
  9. Josef Danial, Debayan Das, Anupam Golder, Santosh Ghosh, Arijit Raychowdhury, Shreyas Sen, “EM-X-DL: Efficient Cross-device Deep Learning Side-channel Attack With Noisy EM Signatures”, in ACM Journal on Emerging Technologies in Computing Systems (JETC), Sept, 2021. [PDF]
  10. Adarsh Kumar Kosta, Malik Aqeel Anwar, Priyadarshini Panda, Arijit Raychowdhury, and Kaushik Roy, “RAPID-RL: A Reconfigurable Architecture with Preemptive-Exits for Efficient Deep-Reinforcement Learning”, arXiv preprint arXiv:2109.08231, Sept, 2021. [PDF]
  11. Jong-Hyeok Yoon, Muya Chang, Win-San Khwa, Yu-Der Chih, Meng-Fan Chang, Arijit Raychowdhury, “A 40-nm, 64-Kb, 56.67 TOPS/W Voltage-Sensing Computing-In-Memory/Digital RRAM Macro Supporting Iterative Write With Verification and Online Read-Disturb Detection,”in IEEE Journal of Solid-State Circuits (JSSC), Aug 2021. [PDF]
  12. Brian Crafton, Sam Spetalnick, Jong-Hyeok Yoon, A. Raychowdhury, “Statistical Optimization of Compute In-Memory Performance Under Device Variation,” in International Symposium on Low Power Electronics and Design (ISLPED), July, 2021. (Best Paper Award) [PDF][Talk]
  13. Kaushik Bhattacharya, Minxiang Gong, Muya Chang, Xin Zhang, Arijit Raychowdhury, “A 24V / 48V to 0.8V – 1.2V All-Digital Synchronous Buck Converter with Package-Integrated GaN power FETs and 180nm Silicon BCD Controller IC”, Under Review, 2021.
  14. W. Chakraborty, K. A. Aabrar, J. Gomez, R. Saligram, A. Raychowdhury, P. Fay and S. Datta, ”Cryogenic RF CMOS on 22nm FDSOI Platform with Record fT=495GHz and fMAX=497GHz,” in VLSI Technology Symposium (VLSI), July 2021.
  15. Aqeel Malik, and Arijit Raychowdhury. “Multi-Task Federated Reinforcement Learning with Adversaries,” arXiv preprint arXiv:2103.06473. [PDF]
  16. Foroozan Karimzadeh, Arijit Raychowdhury, ”Bitsp-Net: An efficient DNN accelerator toward bit level sparsity and compute in memory scheme,” in SRC TECHCON, 2021
  17. Shaoshan Liu, Zishen Wan, Bo Yu, Yu Wang, “Robotic Computing on FPGAs”, in Synthesis Lectures on Computer Architecture, Morgan & Claypool Publishers, pp.1-218, June 2021. [PDF]
  18. Zishen Wan, Yuyang Zhang, Arijit Raychowdhury, Bo Yu, Yanjun Zhang, Shaoshan Liu, “An Energy-Efficient Quad-Camera Visual System for Autonomous Machines on FPGA Platform,” in Artificial Intelligence Circuits and Systems (AICAS), June 2021. [PDF] [Talk]
  19. Tian Gao, Zishen Wan, Yuyang Zhang, Bo Yu, Yanjun Zhang, Shaoshan Liu, Arijit Raychowdhury, “iELAS: An ELAS-Based Energy-Efficient Accelerator for Real-Time Stereo Matching on FPGA Platform,” in Artificial Intelligence Circuits and Systems (AICAS), June 2021. [PDF]
  20. Brian Crafton, Andrew Paredes, Evan Gebhardt, Arijit Raychowdhury, “Hardware-Algorithm Co-Design Enabling Efficient Event-based Object Detection”, in Artificial Intelligence Circuits and Systems (AICAS), June 2021. [PDF] [Talk]
  21. B. Crafton, A. Raychowdhury and S.-K. Lim, “Automatic Generation of Translators for Packet-Based and Emerging Protocols,” in International Symposium on Quality Electronic Design (ISQED), 2021, pp. 488-495. [PDF] [Talk]
  22. Jong-Hyeok Yoon, Muya Chang , Win-San Khwa , Yu-Der Chih , Meng-Fan Chang , Arijit Raychowdhury, “A 40nm 100Kb 118.44TOPS/W Ternary-weight Compute-in-Memory RRAM Macro with Voltage- sensing Read and Write Verification for reliable multi-bit RRAM operation,” in Custom Integrated Circuits Conference (CICC), 2021. (Best Paper Award) [PDF] [Talk]
  23. Rakshith Saligram , Suman Datta , Arijit Raychowdhury, “CryoMem: A 4K-300K 1.3GHz eDRAM Macro with Hybrid 2T-Gain-Cell in a 28nm Logic Process for Cryogenic Applications,” in Custom Integrated Circuits Conference (CICC), 2021. [PDF] [Talk]
  24. Rakshith Saligram , Divya Prasad , David Pietromonaco , Arijit Raychowdhury , Brian Cline, “A 64-Bit Arm CPU at Cryogenic temperatures: Design Technology Co-Optimization for Power and Performance ,” in Custom Integrated Circuits Conference (CICC), 2021. [PDF][Talk]
  25. Debayan Das, Santosh Ghosh, Arijit Raychowdhury, Shreyas Sen, ”EM/Power Side-Channel Attack: White-Box Modeling and Signature Attenuation Countermeasures,” in IEEE Design and Test Vol. 38, no. 3, pp. 67-75, June 2021 [PDF]
  26. Zishen Wan, Bo Yu, Thomas Yuang Li, Jie Tang, Yuhao Zhu, Yu Wang, Arijit Raychowdhury, Shaoshan Liu, “A Survey of FPGA-Based Robotic Computing,” IEEE Circuits and Systems Magazine (CAS-M), Vol. 21, Issue 2, pp. 48-74, May 2021. [PDF]
  27. Ashwin S. Lele, Yan Fang, Justin Ting and Arijit Raychowdhury, “An End-to-end Spiking Neural Network Platform for Edge Robotics: From Event-Cameras to Central Pattern Generation,” to appear in the IEEE Transactions on Cognitive and Developmental Systems (TCDS), 2021. [PDF]
  28. Christopher N Singh, Brian A Crafton, Mathew P West, Alex S Weidenbach, Keith T Butler, Allan H MacDonald, Arjit Raychowdury, Eric M Vogel, W Alan Doolittle, LFJ Piper, Wei-Cheng Lee, ”Quantum Statistical Transport Phenomena in Memristive Computing Architectures,” in Physical Review Applied, Vol. 15, Issue. 5, May 2021. [PDF]
  29. Sourav Dutta, Abhishek Khanna, Adou S. Assoa, Hanjong Paik, Darrell Schlom, Zoltan Toroczkai, Arijit Raychowdhury, Suman Datta, “An Ising Hamiltonian Solver using Stochastic Phase-Transition Nano-Oscillators,” in Nature Electronics, 2021. [PDF]
  30. Foroozan Karimzadeh, Ningyuan Cao, Brian Crafton, Justin Romberg, Arijit Raychowdhury, “A Hardware- Friendly Approach Towards Sparse Neural Networks Based on LFSR-Generated Pseudo-Random Se- quences,” in IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I), vol. 68, no. 2, pp. 751-764, Feb. 2021 [PDF]
  31. Jong-Hyeok Yoon, Muya Chang, Win-San Khwa, Yu-Der Chih, Meng-Fan Chang and Arijit Raychowdhury, “A 40nm 64Kb 56.67 TOPS/W Read-Disturb-Tolerant Compute-in-Memory/Digital RRAM Macro with Active-Feedback-based Read and in-situ Write Verification,” in IEEE International Solid-State Circuits Conference (ISSCC) Digest of Technical Papers, 2021. [PDF] [Talk]
  32. Jong-Hyeok Yoon, Arijit Raychowdhury, “NeuroSLAM: A 65-nm 7.25-to-8.79-TOPS/W Mixed-Signal Oscillator-Based SLAM Accelerator for Edge Robotics,” in the Journal of Solid State Circuits (JSSC), vol. 56, no. 1, pp. 66-78, Jan. 2021. [PDF]
  33. Debayan Das, Josef Danial, Anupam Golder, Nirmoy Modak, Shovan Maity, Baibhab Chatterjee, Dong- Hyun Seo, Muya Chang, Avinash L Varna, Harish K Krishnamurthy, Sanu Mathew, Santosh Ghosh, Arijit Raychowdhury, Shreyas Sen, “EM and Power SCA-Resilient AES-256 Through the 350 Current-Domain Signature Attenuation and Local Lower Metal Routing”, in the Journal of Solid State Circuits (JSSC), vol. 56, no. 1, pp. 136-150, Jan. 2021. [PDF]
  34. B. Crafton, S. Spetalnick and A. Raychowdhury, “Merged Logic and Memory Fabrics for AI Workloads,” in Asia and South Pacific Design Automation Conference (ASP-DAC), 2021, pp. 305-310. [PDF]

2020

  1. Aqeel Malik, and Arijit Raychowdhury. “Masked Face Recognition for Secure Authentication,” arXiv preprint arXiv:2008.11104. [PDF]
  2. H Ye, J Gomez, W Chakraborty, S Spetalnick, S Dutta, K Ni, A Raychowdhury, S Datta, “Double-Gate W-Doped Amorphous Indium Oxide Transistors for Monolithic 3D Capacitorless Gain Cell eDRAM,” in International Electron Device Meeting (IEDM), Dec. 2020. [PDF]
  3. A. S. Lele, Y. Fang, J. Ting and A. Raychowdhury,“Learning to Walk: Bio-Mimetic Hexapod Locomotion via Reinforcement-Based Spiking Central Pattern Generation,” in IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JESTCAS), vol. 10, no. 4, pp. 536-545, Dec. 2020, doi: 10.1109/JET- CAS.2020.3033135. [PDF]
  4. M. Gong, X. Zhang and A. Raychowdhury, “Non-isolated 48V-to-1V Heterogeneous Integrated Voltage Converters for High Performance Computing in Data Centers,” in IEEE 63rd International Midwest Symposium on Circuits and Systems (MWSCAS), Springfield, MA, USA, 2020. [PDF] [Talk]
  5. Anupam Golder, Baogeng Ma, Debayan Das, Josef Danial, Shreyas Sen, Arijit Raychowdhury, “Efficient Electromagnetic Side Channel Analysis by Probe Positioning using Multi-Layer Perceptron,” in IACR Cryptol. ePrint Arch., 2020. [PDF]
  6. A. S. Lele, Y. Fang, J. Ting and A. Raychowdhury, “Learning to Walk: Spike Based Reinforcement Learning for Hexapod Robot Central Pattern Generation,” in 2nd IEEE International Confer- ence on Artificial Intelligence Circuits and Systems (AICAS), Genova, Italy, 2020, pp. 208-212, doi: 10.1109/AICAS48895.2020.9073987. (Nominated for Best Paper Award) [PDF] [Talk]
  7. Brian Crafton, Samuel Spetalnick, Gauthaman Murali, Tushar Krishna, Sung-Kyu Lim and Arijit Raychowdhury, “Breaking Barriers: Maximizing Array Utilization for Compute In-Memory Fabrics,” in IEEE/IFIP International Conference on VLSI-SoC, October 2020. (Best Paper Award) [PDF] [Talk]
  8. Ashwin Sanjay Lele, Yan Fang, Justin Ting, Arijit Raychowdhury, “Online Reward-Based Training of Spiking Central Pattern Generator for Hexapod Locomotion,” in IEEE/IFIP International Conference on VLSI-SoC, October 2020. [PDF]
  9. Rakshith Saligram, Ankit Kaul, Muhannad S Bakir and Arijit Raychowdhury, “A Model Study of Multilevel Signaling for High-Speed Chiplet-to-Chiplet Communication in 2.5D Integration,” in IEEE/IFIP International Conference on VLSI-SoC, October 2020. [PDF]
  10. Foroozan Karimzadeh, Arijit Raychowdhury, “Memory and Energy Efficient Method Toward Sparse Neural Network Using LFSR Indexing,” in IEEE/IFIP International Conference on VLSI-SoC, October 2020. [PDF]
  11. Karl Berggren, Qiangfei Xia, Konstantin K Likharev, Dmitri B Strukov, Hao Jiang, Thomas Mikolajick, Damien Querlioz, Martin Salinga, John R Erickson, Shuang Pi, Feng Xiong, Peng Lin, Can Li, Yu Chen, Shisheng Xiong, Brian D Hoskins, Matthew W Daniels, Advait Madhavan, James A Liddle, Jabez J McClelland, Yuchao Yang, Jennifer Rupp, Stephen S Nonnenmann, Kwang-Ting Cheng, Nanbo Gong, Miguel Angel Lastras-Monta ̃no, A Alec Talin, Alberto Salleo, Bhavin J Shastri, Thomas Ferreira de Lima, Paul Prucnal, Alexander N Tait, Yichen Shen, Huaiyu Meng, Charles Roques-Carmes, Zengguang Cheng, Harish Bhaskaran, Deep Jariwala, Han Wang, Jeffrey M Shainline, Kenneth Segall, J Joshua Yang, Kaushik Roy, Suman Datta, Arijit Raychowdhury, “Roadmap on emerging hardware and technology for machine learning,” in Nanotechnology, Vol. 32, Number 1, Oct. 2020. [PDF]
  12. M. Gong, N. Cao, M. Chang and A. Raychowdhury, “A 65nm Thermometer-Encoded Time/Charge- Based Compute-in-Memory Neural Network Accelerator at 0.735pJ/MAC and 0.41pJ/Update,” in IEEE Transactions on Circuits and Systems II: Express Briefs (TCAS-II), doi: 10.1109/TCSII.2020.3027801. [PDF]
  13. J. Danial, D. Das, S. Ghosh, A. Raychowdhury and S. Sen, “SCNIFFER: Low-Cost, Automated, Efficient Electromagnetic Side-Channel Sniffing,” in IEEE Access, vol. 8, pp. 173414-173427, 2020, doi: 10.1109/ACCESS.2020.3025022. [PDF]
  14. A. Keshavarzi, K. Ni, W. Van Den Hoek, S. Datta and A. Raychowdhury, “FerroElectronics for Edge Intelligence,” in IEEE Micro, vol. 40, no. 6, pp. 33-48, 1 Nov.-Dec. 2020, doi: 10.1109/MM.2020.3026667. [PDF]
  15. Brian Crafton, Samuel Spetalnik, Yan Fang, and Arijit Raychowdhury, “Merged Logic and Memory Fabrics for Accelerating Machine Learning Workloads,” in IEEE Design and Test, doi: 10.1109/ MDAT.2020.3016587. [PDF]
  16. Justin L. Ting, Fang Yan, Ashwin Sanjay Lele and Arijit Raychowdhury, “Bio-inspired Gait Imitation of Hexapod Robot using Event-Based Vision Sensor and Spiking Neural Network,” in International Joint Conference on Neural Networks (IJCNN), July 2020. [PDF] [Talk]
  17. F. Karimzadeh, N. Cao, B.Crafton, J. Romberg and A. Raychowdhury, “Hardware-aware Pruning of DNNs using LFSR-Generated Pseudo-Random Indices,” in IEEE International Symposium on Circuits and Systems (ISCAS), May 2020. [PDF] [Talk]
  18. S. Gangopadhyay, J. W. Tschanz and A. Raychowdhury, ”A Quad-Output Elastic Switched Capacitor Converter and Per-Core LDO with 87% Power Efficiency and 2.5× Core-Frequency Range Improvement,” in IEEE International Symposium on Circuits and Systems (ISCAS), Sevilla, 2020. [PDF]
  19. N. Cao, B. Chatterjee, M. Gong, M. Chang, S. Sen and A. Raychowdhury, ”A 65nm Image Processing SoC Supporting Multiple DNN Models and Real-Time Computation-Communication Trade-off via Actor-Critical Neuro-Controller,” in IEEE Symposia on VLSI Technology and Circuits (VLSI), June 2020. [PDF] [Talk]
  20. Aqeel Anwar, Titash Rakshit and A. Raychowdhury, “XbarOpt-Enabling ultra-pipelined, Novel STT MRAM Based processing-in-Memory DNN Accelerator,” in Proceedings of AI Circuits and Systems Conference (AICAS), March 2020. [PDF]
  21. Muya Chang, Li-Hsiang Lin , Justin Romberg, Arijit Raychowdhury, “OPTIMO: A 65nm 279GOPS/W 16b Programmable Spatial-Array-Processor with On-Chip Network for Solving Distributed Optimizations via the Alternating Direction Method of Multipliers,” in Journal of Solid State Circuits (JSSC), vol. 55, no. 3, pp. 629-638, March 2020, doi: 10.1109/ JSSC.2019.2953831. [PDF]
  22. A. Anwar and A. Raychowdhury, ”Autonomous Navigation via Deep Reinforcement Learning for Resource Constraint Edge Nodes Using Transfer Learning,” in IEEE Access, vol. 8, pp. 26549-26560, 2020, doi: 10.1109/ACCESS.2020.2971172. [PDF]
  23. B. Bhar, A. Khanna, A. Parihar, S. Datta and A. Raychowdhury “Stochastic Resonance in Insulator-Metal-Transition Systems” in Nature Scientific Reports 10, 5549 (2020). https://doi.org/10.1038/s41598-020- 62537-3 [PDF]
  24. Yan Fang, Zheng Wang, Asif Khan, and A. Raychowdhury, “Ferroelectric Spiking Neural Networks,” in Proceedings of GOMACTech, March 2020.
  25. Jong-Hyeok Yoon, and A. Raychowdhury, “A 65nm 8.79TOPS/W 23.82mW Mixed-Signal Oscillator-Based NeuroSLAM Accelerator for Applications in Edge Robotics,” in Proceedings of IEEE International Solid-State Circuits Conference, (ISSCC), Feb 2020. [PDF]
  26. Debayan Das, Josef Danial, Anupam Golder, Nirmoy Modak, Shovan Maity, Baibhab Chatterjee, Donghyun Seo, Muya Chang, Avinash Varna, Harish Krishnamurthy, Sanu Mathew, Santosh Ghosh, Arijit Raychowdhury, Shreyas Sen, “EM and Power SCA-Resilient AES-256 in 65nm CMOS Through > 350× Current-Domain Signature Attenuation,” in Proceedings of IEEE International Solid-State Circuits Conference, (ISSCC), Feb 2020. [PDF]

2019

  1. Abhinav Parihar, Matthew Jerry, Suman Datta, Arijit Raychowdhury, “Stochastic IMT (insulator-metal-transition) neurons: An interplay of thermal and threshold noise at bifurcation,” in Frontiers of Neurosciences. [PDF]
  2. Wriddhi Chakraborty, Kai Ni, Jeffrey Smith, Arijit Raychowdhury, Suman Datta, “An Empirically Validated Virtual Source FET Model for Deeply Scaled Cool CMOS,” in Proceedings of International Electron Device Meeting (IEDM), Dec. 2019. [PDF]
  3. Keith Bowman, Samantak Gangopadhyay, Francois Atallah, Hoan.H.Nguyen, Jihoon Jeong, Daniel Yingling, Amer Cassier, Brad Appel, Arijit Raychowdhury, “A 7nm All-Digital Leakage-Current-Supply Circuit for Analog LDO Dropout Voltage Reduction,” in Solid State Circuits Letters (SSC-L), October 2019, DOI: 10.1109/LSSC.2019.2947239. [PDF]
  4. Ningyuan Cao, Muya Chang, Arijit Raychowdhury, “A 65-nm 8-to-3-b 1.0-0.36-V 9.1-1.1-TOPS/W Hybrid-Digital-Mixed-Signal Computing Platform for Accelerating Swarm Robotics,” in Journal of Solid State Circuits (JSSC), August 2019, DOI: 10.1109/JSSC.2019.2935533. [PDF]
  5. Yoon, Insik, Anwar, Malik Aqeel, Joshi, Rajiv, Rakshit, Titash and Arijit Raychowdhury, “A Hierarchical Memory System with STT-MRAM and SRAM to Support Transfer and Real-time Reinforcement Learning in Autonomous Drones,” in IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), Aug 2019. [PDF]
  6. Sourav Dutta, Abhinav Parihar, Abhishek Khanna, Jorge Gomez, Wriddhi Chakraborty, Matthew Jerry, Benjamin Grisafe, Arijit Raychowdhury and Suman Datta, “Programmable coupled oscillators for synchronized locomotion,” in Nature Communications, 10, Article number: 3299, Aug 2019. [PDF]
  7. Anupam Golder, Debayan Das, Josef Danial, Santosh Ghosh, Shreyas Sen, Arijit Raychowdhury, “Practical Approaches Toward Deep-Learning-Based Cross-Device Power Side-Channel Attack,” in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, July 2019, DOI: 10.1109/TVLSI.2019.2926324. [PDF]
  8. Y. Fang, Y. Fang, Z. Wang, J. Gomez, S. Datta, A. I. Khan, A. Raychowdhury, “A Swarm Optimization Solver based on Ferroelectric Spiking Neural Networks,” in Frontiers in Neuroscience, July 2019. [PDF]
  9. Y. Fang, J. Gomez, Z. Wang, S. Datta, A. I. Khan, A. Raychowdhury, “Neuro-mimetic Dynamics of a Ferroelectric FET Based Spiking Neuron,” in IEEE Electron Device Letters, Vol. 40, Iss. 7, pp. 1213-1216, July 2019. [PDF]
  10. B. Crafton, M. West, P. Basnet, E. Vogel, and A. Raychowdhury, “Local learning in RRAM neural networks with sparse direct feedback alignment,” in Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED), July 2019. [PDF]
  11. Yoon, Insik, Chang, Muya, Ni, Kai, Jerry, Matthew, Gangopadhyay, Samantak, Gus Smith, Hamam, Tomer, Vijaykrishnan, Narayanan, Romberg, Justin , Khan, Asif , Datta, Suman and Raychowdhury, Arijit, “A FerroFET based in-memory processor for solving distributed and iterative optimizations via least-squares method,” in IEEE Journal on Exploratory Solid-State Computational Device and Circuits (JXCDC), June 2019. [PDF]
  12. Debayan Das, Anupam Golder, Josef Danial, Santosh Ghosh, Arijit Raychowdhury, Shreyas Sen, “X-DeepSCA: Cross-device deep learning side channel attack,” in Proceedings of the Design Automation Conference (DAC), Las Vegas, NV, USA, June 2019. [PDF]
  13. Keith Bowman, Samantak Gangopadhyay Francois Atallah, Hoan Nguyen, Jihoon Jeong, Dan Yingling, Anthony Polomik, Mahesh Harinath, Nat Reeves, Amer Cassier, Brad Appel, and Arijit Raychowdhury, “A 7nm Leakage-Current-Supply Circuit for LDO Dropout Voltage Reduction,” in Symposium on VLSI Circuits (VLSI), June, 2019, DOI: 10.23919/VLSIC.2019.8778148. [PDF]
  14. Brian Crafton, Abhinav Parihar, Evan Gebhardt and Arijit Raychowdhury, “Direct Feedback Alignment With Sparse Connections for Local Learning,” in Frontiers of Neuroscience, May, 2019. [PDF]
  15. Yoon, Insik, Cao, Ningyuan, Amaravati, Anvesha and Arijit Raychowdhury, “A 55nm, 50nJ/encode, 12nJ/decode Homomorphic Encryption Crypto-Engine for IoT Nodes to Enable Secure Computation on Encrypted Data,” in IEEE Custom Integrated Circuit Conference (CICC), April 2019. [PDF]
  16. B. Chatterjee, N. Cao, A. Raychowdhury and S. Sen, “Context-Aware Intelligence in Resource-Constrained IoT Nodes: Opportunities and Challenges,” in IEEE Design and Test, vol. 36, no. 2, pp. 7-40, April 2019. [PDF]
  17. Patsy Cadareanu, CG Almudever, A Khanna, A Raychowdhury, S Datta, K Bertels, V Narayanan, M Di Ventra, P-E Gaillardon, “Rebooting our computing models,” in Design, Automation and Test in Europe Conference and Exhibition (DATE), Feb 2019. [PDF]
  18. I. Yoon, Malik Aqeel Anwar, Titash Rakshit and Arijit Raychowdhury, “Transfer and Online Reinforcement Learning in STT-MRAM Based Embedded Systems for Autonomous Drones,” in Design, Automation and Test in Europe Conference and Exhibition (DATE), Feb 2019. [PDF]
  19. M. Chang, S. Gangopadhyay, T. Hamam, J. Romberg and A. Raychowdhury, ”Efficient Signal Reconstruction via Distributed Least Square Optimization on a Systolic FPGA Architecture,” ICASSP 2019. [PDF]
  20. M. Chang, L. Lin, J. Romberg and A. Raychowdhury, “OPTIMO: A 65nm 270MHz 143.2mW Programmable Spatial-Array-Processor with a Hierarchical Multi-cast On-Chip Network for Solving Distributed Optimizations,” in Custom Integrated Circuits Conference (CICC), April 2019. [PDF]
  21. Francois Atallah, Keith Bowman, Hoan Nguyen, Jihoon Jeong, Daniel Yingling, Yu Sun, Brad Appel, Anthony Polomik, Mahesh Harinath, Joshua Morelli, Thomas Moore, Nathaniel Reeves, Amer Cassier, Arijit Raychowdhury, “A 7nm All-Digital Unified Voltage and Frequency Regulator Based on a High- Bandwidth 2-Phase Buck Converter with Package Inductors,” in IEEE International Solid- State Circuits Conference, (ISSCC), San Francisco, CA, USA, 2019. [PDF]
  22. N. Cao, M. Chang and A. Raychowdhury, “A 65nm 1.1-to-9.1TOPS/W Hybrid-Digital-Mixed-Signal Computing Platform for Accelerating Model-Based and Model-Free Swarm Robotics,” in IEEE International Solid- State Circuits Conference, (ISSCC), San Francisco, CA, USA, 2019, pp. 222-224. [PDF]

2018

  1. Zheng Wang, Brian Crafton, Jorge Gomez, Ruijuan Xu, Aileen Luo, Zoran Krivokapic, Lane Martin, Suman Datta, Arijit Raychowdhury, Asif Islam Khan, “Experimental demonstration of ferroelectric spiking neurons for unsupervised clustering,” in Proceedings of the International Electron Device Meeting (IEDM), Dec, 2018. [PDF]
  2. Muya Chang and Arijit Raychowdhury, “A Systolic Architecture for Iterative Dynamical Systems with Application to Distributed Least Square Optimization,” SRC TECHCON, Sept, 2018.
  3. M. A. Anwar and A. Raychowdhury, “NavREn-Rl: Learning to fly in real environment via end-to-end deep reinforcement learning using monocular images,” in International Conference on Mechatronics and Machine Vision in Practice (M2VIP), 2018, pp. 1-6. [PDF]
  4. Insik Yoon, Muya Chang, Samantak Gangopadhyay, Kai Ni, Matthew Jerry, Gus Smith, Tomer Hamam, Vijaykrishnan Narayanan, Justin Romberg, Shih-Lien Lu, Suman Datta and Arijit Raychowdhury, “A FeFET Based Processing-In-Memory Architecture for Solving Distributed Least-Square Optimizations,” Proceedings of the Device Research Conference (DRC), June, 2018. [PDF]
  5. Saad B Nasir, Swaminathan Madhavan, Arijit Raychowdhury, “A 65nm, 1.15-0.15V, 99.99% Current-Efficient Digital Low Dropout Regulator with Asynchronous Non-Linear Control for Droop Mitigation,” Proceedings of International Symposium on Circuits and Systems (ISCAS), May, 2018. [PDF]
  6. G. Csaba, A. Raychowdhury, W. Porod, S. Datta, “Computing with Coupled Oscillators: Theory, Devices, and Applications,” Proceedings of International Symposium on Circuits and Systems (ISCAS), May, 2018. [PDF]
  7. Abhinav Parihar, Matthew Jerry, Suman Datta, Arijit Raychowdhury, “Stochastic IMT (insulator- metal-transition) neurons: An interplay of thermal and threshold noise at bifurcation,” in Frontiers of Neurosciences, DOI=10.3389/fnins.2018.00210, April 2018. [PDF]
  8. Debayan Das, Shovan Maity, Saad Bin Nasir, Santosh Ghosh, Arijit Raychowdhury, Shreyas Sen, “ASNI: Attenuated Signature Noise Injection for Low-Overhead Power Side-Channel Attack Immunity,” in IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I), DOI: 10.1109/TCSI.2018.2819499, April 2018. [PDF]
  9. Ningyuan Cao, Shreyas Sen, Arijit Raychowdhury, “Smart sensing for HVAC control: Collaborative intelligence in optical and IR cameras,” in IEEE Transactions on Industrial Electronics (TIE), DOI: 10.1109/TIE.2018.2818665, March 2018. [PDF]
  10. Saad Bin Nasir, Shreyas Sen, Arijit Raychowdhury, “A Reconfigurable Hybrid Low Dropout Voltage Regulator for Wide-Range Power Supply Noise Rejection and Energy-Efficiency Trade-off,” in IEEE Transactions on Circuits and Systems II (TCAS-II), DOI: 10.1109/TCSII.2018.2816949, March 2018. [PDF]
  11. Anvesha Amravati, Kyle Xu, Justin Romberg and A. Raychowdhury, “A 130nm 165nJ/frame Compressed- Domain Smashed-Filter Based Mixed-Signal Classifier for “In-sensor” Analytics in Smart Cameras,” in IEEE Transactions on Circuits and Systems II (TCAS-II), Vol. 65, Issue. 3, March 2018. [PDF]
  12. Saad Bin Nasir, S. Sen and A. Raychowdhury, “Switched Mode Control based Hybrid LDO for Fine-grain Power Management of Digital Load Circuits,” in IEEE Journal of Solid State Circuits (JSSC), Vol. 53, Issue. 2, Feb. 2018. [PDF]
  13. Insik Yoon and A. Raychowdhury, “Modeling and Analysis of Magnetic Field Induced Coupling on Embedded STT-MRAM Arrays,” in IEEE Transactions on Computer Aided Design (TCAD), Vol. 37, Issue. 2, Feb. 2018. [PDF]
  14. Anvesha A, Saad Bin Nasir, Sivaram Thangadurai, Insik Yoon and Arijit Raychowdhury, “A 55nm Time-Domain Mixed-Signal Neuromorphic Accelerator with Stochastic Synapses and Embedded Reinforcement Learning for Autonomous Micro-Robots” Proceedings of International Solid State Circuits Conference (ISSCC), Feb, 2018. [PDF]
  15. Matthew Jerry, Kai Ni, Abhinav Parihar, Arijit Raychowdhury, Suman Datta, “Stochastic Insulator-to-Metal Phase Transition based True Random Number Generator,” in IEEE Electron Device Letters (EDL), Jan, 2018. [PDF]

2017

  1. Abhinav Parihar, Nikhil Shukla, Matt Jerry, Suman Datta and A. Raychowdhury, “Vertex coloring of graphs via phase dynamics of coupled oscillatory networks,” in Nature Scientific Reports, 7, 911, 2017. [PDF]
  2. Ningyan Cao, Saad Nasir Shreyas Sen and A. Raychowdhury, “Self-Optimizing IoT Wireless Video Sensor Node with In-situ Data Analytics and Context-Driven Energy-Aware Real-time Adaptation,” in IEEE Transactions on Circuits and Systems I (TCAS-I), Vol. 64, Issue 9, 2017. [PDF]
  3. Anvesha Amravati, Kyle Xu, Justin Romberg and A. Raychowdhury, “A Light-Powered Smart Camera with Compressed Domain Gesture Detection,” in IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), July, 2017. [PDF]
  4. Abhinav Parihar, Nikhil Shukla, Matt Jerry, Suman Datta and A. Raychowdhury, “Computing with Dynamical Systems Based on Insulator-Metal-Transition Oscillators,” in Nanophotonics, Vol, 6, Issue 3, 2017. [PDF]
  5. Anvesha Amravati, Kyle Xu, Justin Romberg and A. Raychowdhury, “A 130nm 165nJ/frame Compressed- Domain Smashed-Filter Based Mixed-Signal Classifier for In-sensor Analytics in Smart Cameras,” in IEEE Transactions on Circuits and Systems II (TCAS-II), April, 2017. [PDF]
  6. David C. Zhang, Madhavan Swaminathan, Arijit Raychowdhury and David Keezer, “Enhancing the Bandwidth of Low-Dropout Regulators Using Power Transmission Lines for High-Speed I/Os,” in IEEE Transactions on Components, Packaging and Manufacturing Technology (TCPMT), Vol. 7, Issue 4, 2017. [PDF]
  7. Anvesha Amravati and A. Raychowdhury, “A 65nm 360nA 0.4V Linear Classifier Using Time-Based Matrix-Multiplying ADC with in-situ Learning of ADC Non-Linearity,” Proceedings of Asian Solid State Circuits Symposium (ASSC), Nov, 2017.
  8. Anvesha Amravati, Kyle Xu, Justin Romberg and A. Raychowdhury, “A 65nm Compressive-Sensing Time-Based ADC with Embedded Classification and INL-Aware Training for Arrhythmia Detection,” Proceedings of IEEE Biomedical Circuits and Systems (BioCAS) Conference, Nov, 2017. [PDF]
  9. Parihar, Matt Jerry, Nikhil Shukla, Suman Datta and A. Raychowdhury, “Connecting Spectral Techniques for Graph Coloring and Eigen Properties of Coupled Dynamics: A Pathway for Solving Combinatorial Optimizations,” Proceedings of IEEE International Conference on Computer Aided Design (ICCAD), Nov, 2017. [PDF]
  10. Said Hamdioui, Peyman Pouyan, Huawei Li, Ying Wang, Arijit Raychowdhury, Insik Yoon, “Test and Reliability of Emerging Non-Volatile Memories,” Proceedings of IEEE Asian Test Symposium (ATS), Nov, 2017. [PDF]
  11. Saad B. Nasir and A. Raychowdhury, “A Reconfigurable Hybrid Low Dropout Voltage Regulator for Wide-Range Power Supply Noise Rejection and Energy-Efficiency Trade-off,” SRC TECHCON, Sept, 2017. (Best in Session Award) [PDF]
  12. Samantak Gangopadhyay and A. Raychowdhury, “A Quad-Output Elastic Switched Capacitor Converter and Per-Core LDO with 87% Power Efficiency and 150% Core-Frequency Range Improvement,” SRC TECHCON, Sept, 2017
  13. Ningyuan Cao and A. Raychowdhury, “In-Sensor Analytics and Energy-Aware Self-Optimization in a Wireless Sensor Node,” SRC TECHCON, Sept, 2017 [PDF]
  14. Jerry, A. Parihar, A. Raychowdhury, and S. Datta, “A Random Number Generator based on Insulator- to-Metal Electronic Phase Transitions,” Proceedings of the Device Research Conference (DRC), June, 2017. [PDF]
  15. Jerry, A. Parihar, B. Grisafe, A. Raychowdhury, and S. Datta, “Ultra-Low Power Probabilistic IMT Neurons for Stochastic Sampling Machines,” Proceedings of the VLSI Technology Symposium (VLSIT), June, 2017. [PDF]
  16. Abhinav Parihar, Nikhil Shukla, Matthew Jerry, Suman Datta and Arijit Raychowdhury, “Computational Paradigms using Oscillatory Networks based on State-Transition Devices,” Proceedings of the International Joint Conference on Neural Networks (IJCNN), May, 2017. [PDF]
  17. Ningyuan Cao, Saad Bin Nasir, Shreyas Sen and Arijit Raychowdhury, “In-Sensor Analytics and Energy-Aware Self-Optimization in a Wireless Sensor Node,” Proceedings of the IEEE International Microwave Symposium (IMS), June, 2017. [PDF]
  18. Debayan Das, Shovan Maity, Saad Bin Nasir, Santosh Ghosh, Arijit Raychowdhury and Shreyas Sen, “High Efficiency Power Side-Channel Attack Immunity using Noise Injection in Attenuated Signature Domain,” Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust (HOST), May, 2017. (Best Paper Award) [PDF]
  19. Samantak Gangopadhyay, Saad Bin Nasir, Hoan Nguyen, Jihoon Jeong, Francois Atallah, Keith Bowman and Arijit Raychowdhury, “Digitally-Assisted Leakage Current Supply Circuit for Reducing the Analog LDO Minimum Dropout Voltage,” Proceedings of the IEEE Custom Integrated Circuits Conference (CICC), Apr., 2017. [PDF]
  20. Insik Yoon, Arijit Raychowdhury, “Test Challenges in Embedded STT-MRAM Arrays,” Proceedings of the IEEE International Symposium on Quality Electronic Design (ISQED), Mar., 2017. [PDF]
  21. Shaojie Xu, Anvesha Amaravati, Justin Romberg, Arijit Raychowdhury, “Appearance-Based Gesture Recognition in the Compressed Domain,” Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICCASP), Mar., 2017. [PDF]

2016

  1. Charles Augustine, Carlos Tokunaga, Andres Malavasi, Arijit Raychowdhury, Muhammad Khellah, James Tschanz, Vivek De, “Characterization of PVT Variation and Aging Induced Hold Time Margins of Flip- Flop Arrays at NTV in 22nm Tri-Gate CMOS,” Proceedings of the International Electron Device Meeting (IEDM), Dec. 2016. [PDF]
  2. Saad Bin Nasir, and A. Raychowdhury, “All-digital low-dropout regulator with adaptive control and reduced dynamic stability for digital load circuits,” in IEEE Transactions on Power Electronics (TPE), Vol. 31, Issue 12, Dec. 2016. [PDF]
  3. Insik Yoon, Ashwin Chintaluri, and Arijit Raychowdhury, “EMACS: Efficient MBIST Architecture for Test and Characterization of STT-MRAM Arrays,” Proceedings of the International Test Conference (ITC), Nov., 2016. [PDF]
  4. Venkatesan, V. Kozhikkottu, M. Sharad, C. Augustine, A. Raychowdhury, K. Roy, A. Raghunathan, “Cache Design with Domain Wall Memories,” IEEE Transactions in Computers (TC), Vol. 65, Issue 4, pp: 1010-1024, 2016. [PDF]
  5. Sandip Roy, Yier Jin and A. Raychowdhury, “The Changing Computing Paradigm with Internet of Things: A Tutorial Introduction,” IEEE Design and Test Magazine (IEEE D&T), Vol. 33, Issue 2, pp: 76-96, 2016. [PDF]
  6. Samantak Gangopadhyay, Saad B. Nasir, A. Subramaniam, V. Sathe and Arijit Raychowdhury, “UVFR: A Unified Voltage and Frequency Regulator with 500MHz/0.84V to 100KHz/0.27V Operating Range, 99.4% Current Efficiency and 27% Supply Guardband Reduction,” Proceedings of the European Solid State Circuits Conference (ESSCIRC), Sept., 2016. [PDF]
  7. Saad B. Nasir, Shreyas Sen and Arijit Raychowdhury, “A 130nm Hybrid Low Dropout Regulator Based on Switched Mode Control for Digital Load Circuits,” Proceedings of the European Solid State Circuits Conference (ESSCIRC), Sept., 2016. [PDF]
  8. Samantak Gangopadhyay and Arijit Raychowdhury, “Unified Voltage and Frequency Regulator for Energy-Efficient Digital Circuits,” SRC TECHCON, Sept., 2016. [PDF]
  9. Ashwin Chintaluri, S. Natarajan, Helia Naeimi and A. Raychowdhury, “Analysis of Defects and Fault models in Embedded Spin Transfer Torque (STT) MRAM Arrays,” IEEE Journal On Emerging And Selected Topics In Circuits And Systems (JETCAS), vol. PP, no. 99, pp. 111, 2016. [PDF]
  10. Saad B. Nasir and Arijit Raychowdhury, “Hybrid Linear Regulator featuring Switched Model Control with 6ns/8.6mA Response Time and 98.64% Current Efficiency,” SRC TECHCON, Sept., 2016. (Best in Session Award). [News]
  11. Suman Datta, Nikhil Shukla, Abhinav Parihar and Arijit Raychowdhury, “Computing with Coupled Dynamical Systems,” Proceedings of the International Workshop on Cellular Nanoscale Networks and their Applications (CNNA), Aug., 2016. [PDF]
  12. Anvesha Amravati, Shaojie Xu. Ningyuan Cao, Justin Romberg and A. Raychowdhury, “A light- powered, “always on”, smart camera with compressed domain gesture detection,” Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED), Aug., 2016. [PDF]
  13. Abhinav Parihar, Nikhil Shukla, S. Datta and A. Raychowdhury, “Computing with Dynamical systems in the Post-CMOS Era,” Proceedings of the IEEE Summer Topicals Meeting, July, 2016. [PDF]
  14. Matthew Jerry, Wei-yu Tsai, Baihua Xie, Xueqing Li, Vijay Narayanan, Arijit Raychowdhury, and Suman Datta, “Phase Transition Oxide Neuron for Spiking Neural Networks,” Proceedings of the Device Research Conference (DRC), June, 2016. [PDF]
  15. Saad Bin Nasir and A. Raychowdhury, “All-Digital Linear Regulators with Proactive and Reactive Gain-Boosting for Supply Droop Mitigation in Digital Load Circuits,” Proceedings of the International Symposium on Circuits and Systems (ISCAS), May, 2016. [PDF]
  16. Wei-Yu Tsai, X. Li, M. Jerry, B. Xie, N. Shukla, H. Liu, N. Chandramoorthy, M. Cotter, A. Raychowdhury, D. Chiarulli, S. Levitan, S. Datta, J. Sampson, N. Ranganathan, V. Narayanan, “Enabling New Computation Paradigms with HyperFET – an Emerging Device,” in IEEE Transactions on Multi-Scale Computing Systems (TMSCS), Vol. 2, Issue 1, pp: 30-48, 2016. (Best Paper Award). [PDF]

2015

  1. Soham Desai, M. Shoaib and A. Raychowdhury, “An Ultra-low power, “Always-On” Camera Front-End for Posture Detection in Body Worn Cameras using Restricted Boltzman Machines,” IEEE Transactions on Multi-Scale Computing Systems (TMSCS), Vol. 1, Issue 4, pp: 187 – 194, Dec., 2015. [PDF]
  2. Ashwin Chintaluri, Abhinav Parihar, Helia Naeimi, S. Natarajan and A. Raychowdhury, “A Model Study of Defects and Faults in Embedded Spin Transfer Torque (STT) MRAM Arrays,” Proceedings of the Asian Test Symposium (ATS), November, 2015. [PDF]
  3. Anvesha Amravati, Manan Chung and A. Raychowdhury, “A Time Interleaved DAC Sharing SAR Pipeline ADC for Ultra-Low Power Camera Front Ends,” Proceedings of the IEEE International Conference on Very Large Scale Integration (VLSI-SoC), October, 2015 (Best Paper in Analog and Mixed-Signal Track). [PDF]
  4. Saad Bin Nasir and A. Raychowdhury, “Ensuring stability in a multi-LDO power grid for digital circuits through design and online tuning,” Proceedings of the Test and Validation of High Speed Analog Circuits (TVHSAC), October, 2015.
  5. Paolo Maffezzoni, Luca Daniel, N. Shukla, Suman Datta, Arijit Raychowdhury, “Modeling and Simulation of Vanadium dioxide Relaxation Oscillators,” IEEE Transactions on Circuits and System I: Regular Papers (TCAS-I), Vol.62, Issue 9, pp.2207-2215, Sept. 2015. [PDF]
  6. Samantak Gangopadhyay, Saad B. Nasir and A. Raychowdhury, “Integrated Power Management in IoT Devices under Wide Dynamic Ranges of Operation,” Proceedings of the Design Automation Conference (DAC), June, 2015. [PDF]
  7. Maffezzoni, L. Daniel, N. Shukla, S. Datta, A. Raychowdhury, V. Narayanan, “Modelling hysteresis in vanadium dioxide oscillators,” Electronic Letters, Vol. 51, Issue 11, 28 May 2015, p. 819-820. [PDF]
  8. Saad B. Nasir and A. Raychowdhury, “On limit cycle oscillations of discrete time digital linear regulators,” Proceedings of the IEEE Applied Power Electronics Conference (APEC), March, 2015. [PDF]
  9. Abhinav Parihar, Nikhil Shukla, Suman Datta, Arijit Raychowdhury, “Synchronization of pairwise- coupled, identical, relaxation oscillators based on metal-insulator phase transition devices: A model study,” Journal of Applied Physics (JAP), Feb. 2015. [PDF]
  10. Saad B. Nasir, Samantak Gangopadhyay and A. Raychowdhury, “A 130nm fully digital linear drop-out regulator with adaptive control and reduced dynamic stability for wide dynamic range of operation,” Proceedings of the International Solid State Circuits Conference (ISSCC), Feb 2015. [PDF]

2014

  1. Shukla, Abhinav Parihar, M. Cotter, M. Barth, X. Li, N. Chandrammorthy, D. G. Schlom, V. Narayanan, A. Raychowdhury, and S. Datta, “Pairwise Coupled Hybrid Vanadium Dioxide-MOSFET (HVFET) Oscillators for Non-boolean Associative Computing,” Proceedings of the IEEE International Electron Device Meeting (IEDM), December 2014. [PDF]
  2. Abhinav Parihar, Nikhil Shukla, Suman Datta, Arijit Raychowdhury, “Exploiting Synchronization Properties of Correlated Electron Devices in a Non-Boolean Computing Fabric for Template Matching,” IEEE Journal On Emerging And Selected Topics In Circuits And Systems (JETCAS), Vol. 4, Dec. 2014. [PDF]
  3. Saad B. Nasir, Samantak Gangopadhyay and Arijit Raychowdhury, “Adaptive Designs in Computation and Power Management,” Proceedings of the International Conference on Computer Aided Design (ICCAD), San Jose, Nov. 2014. [PDF]
  4. Samantak Gangopadhyay, Dinesh Somasekhar, James Tschanz, Vivek De, Arijit Raychowdhury, “A 32nm Embedded, Fully-Digital, Phase-Locked Low Dropout Regulator for Fine Grained Power Management in Digital Circuits”, Journal of Solid State Circuits (JSSC), Vol. 11, Nov. 2014.
  5. Suman Datta, Nikhil Shukla, Matthew Cotter, Abhinav Parihar, and Arijit Raychowdhury. “Neuro inspired computing with coupled relaxation oscillators,” Proceedings of the Annual Design Automation Conference (DAC), pages 16, 2014. [PDF]
  6. Nikhil Shukla, Abhinav Parihar, Eugene Freeman, Hanjong Paik, Greg Stone, Vijaykrishnan Narayanan, Haidan Wen, Zhonghou Cai, Venkatraman Gopalan, Roman Engel-Herbert, Arijit Raychowdhury, Suman Datta, “Synchronized charge oscillations in correlated electron systems,” Nature Scientific Reports, Vol. 4, April 2014. [PDF]
  7. Samantak Gangopadhyay, YoungTak Lee, Saad B. Nasir, Arijit Raychowdhury, ”Modeling and Analysis of Digital Linear Dropout Regulators with Adaptive Control for High Efficiency under Wide Dynamic Range Digital Loads,” Proceedings of the Design, Automation & Test in Europe (DATE), Dresden, Germany, March 2014. [PDF]
  8. Saad B. Nasir, YoungTak Lee, Arijit Raychowdhury, “Modeling and Analysis of System Stability in a Distributed Power Delivery Network with Embedded Digital Linear Regulators,” Proceedings of the International Symposium on Quality Electronic Design (ISQED), San Jose, USA, March, 2014. [PDF]
  9. Tokunaga, J. F. Ryan, C. Augustine, J. P. Kulkarni, Y-C. Shih, S. T. Kim, R. Jain, K. Bowman, A. Raychowdhury, M. M. Khellah, J. W. Tschanz, V. De, “A Graphics Execution Core in 22nm CMOS Featuring Adaptive Clocking, Selective Boosting and State-Retentive Sleep,” Proceedings of the Inter- national Solid State Circuits Conference (ISSCC), San Francisco, USA, Feb. 2014. [PDF]
For older publications, please refer to my CV.