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2020 – today
- 2023
[j65]Masum Hossain, Arijit Raychowdhury, Sanu K. Mathew, Yakun Sophia Shao, Yih Wang:
Guest Editorial Introduction to the Special Issue on the 2022 IEEE International Solid-State Circuits Conference (ISSCC). IEEE J. Solid State Circuits 58(1): 3-7 (2023)- [j64]Minxiang Gong
, Hua Chen, Xin Zhang, Rinkle Jain, Arijit Raychowdhury:
A 90.4% Peak Efficiency 48-to-1-V GaN/Si Hybrid Converter With Three-Level Hybrid Dickson Topology and Gradient Descent Run-Time Optimizer. IEEE J. Solid State Circuits 58(4): 1002-1014 (2023) - [c146]Ashwin Bhat, Arijit Raychowdhury:
Reducing Overhead of Feature Importance Visualization via Static GradCAM Computation. AICAS 2023: 1-5 - [c145]Anupam Golder, Arijit Raychowdhury:
PCB Identification Based on Machine Learning Utilizing Power Consumption Variability. AICAS 2023: 1-4 - [c144]Nealson Li, Ashwin Bhat, Arijit Raychowdhury:
E-Track: Eye Tracking with Event Camera for Extended Reality (XR) Applications. AICAS 2023: 1-5 - [c143]Mustafa Fayez Ali, Indranil Chakraborty, Sakshi Choudhary, Muya Chang, Dong Eun Kim, Arijit Raychowdhury, Kaushik Roy:
A 65 nm 1.4-6.7 TOPS/W Adaptive-SNR Sparsity-Aware CIM Core with Load Balancing Support for DL workloads. CICC 2023: 1-2 - [c142]Ashwin Sanjay Lele, Muya Chang, Samuel D. Spetalnick, Brian Crafton, Arijit Raychowdhury, Yan Fang:
Neuromorphic Swarm on RRAM Compute-in-Memory Processor for Solving QUBO Problem. DAC 2023: 1-6 - [c141]Zishen Wan, Nandhini Chandramoorthy, Karthik Swaminathan, Pin-Yu Chen, Vijay Janapa Reddi, Arijit Raychowdhury:
BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems. DAC 2023: 1-6 - [c140]Kshitij Bhardwaj, Zishen Wan, Arijit Raychowdhury, Ryan A. Goldhahn:
Real-Time Fully Unsupervised Domain Adaptation for Lane Detection in Autonomous Driving. DATE 2023: 1-2 - [c139]Yu-Shun Hsiao, Zishen Wan, Tianyu Jia, Radhika Ghosal, Abdulrahman Mahmoud, Arijit Raychowdhury, David Brooks, Gu-Yeon Wei, Vijay Janapa Reddi:
MAVFI: An End-to-End Fault Analysis Framework with Anomaly Detection and Recovery for Micro Aerial Vehicles. DATE 2023: 1-6 - [c138]Zachary J. Ellis, Anupam Golder, Addison J. Elliott, Arijit Raychowdhury:
RAGA: Resource-Aware Tree-Splitting for High Performance Knuth-Yao-based Discrete Gaussian Sampling on FPGAs. ACM Great Lakes Symposium on VLSI 2023: 443-447 - [c137]Adou Sangbone Assoa, Ashwin Bhat, Sigang Ryu, Arijit Raychowdhury:
A Scalable Platform for Single-Snapshot Direction Of Arrival (DOA) Estimation in Massive MIMO Systems. ACM Great Lakes Symposium on VLSI 2023: 631-637 - [c136]Ashwin Bhat, Arijit Raychowdhury:
Non-Uniform Interpolation in Integrated Gradients for Low-Latency Explainable-AI. ISCAS 2023: 1-5 - [c135]Ashwin Sanjay Lele, Muya Chang, Samuel Spetalnick, Yan Fang, Brian Crafton, Shota Konno, Arijit Raychowdhury:
Live Demonstration: Hybrid RRAM and SRAM SoC for Fused Frame and Event Target Tracking. ISCAS 2023: 1 - [c134]Muya Chang, Ashwin Sanjay Lele, Samuel D. Spetalnick, Brian Crafton, Shota Konno, Zishen Wan, Ashwin Bhat, Win-San Khwa, Yu-Der Chih, Meng-Fan Chang, Arijit Raychowdhury:
A 73.53TOPS/W 14.74TOPS Heterogeneous RRAM In-Memory and SRAM Near-Memory SoC for Hybrid Frame and Event-Based Target Tracking. ISSCC 2023: 426-427 - [c133]Sigang Ryu, Adou Sangbone Assoa, Shota Konno, Arijit Raychowdhury:
A 65nm 60mW Dual-Loop Adaptive Digital Beamformer with Optimized Sidelobe Cancellation and On-Chip DOA Estimation for mm-Wave Applications. VLSI Technology and Circuits 2023: 1-2 - [c132]Samuel D. Spetalnick, Muya Chang, Shota Konno, Brian Crafton, Ashwin Sanjay Lele, Win-San Khwa, Yu-Der Chih, Meng-Fan Chang, Arijit Raychowdhury:
A 2.38 MCells/mm2 9.81 -350 TOPS/W RRAM Compute-in-Memory Macro in 40nm CMOS with Hybrid Offset/IOFF Cancellation and ICELL RBLSL Drop Mitigation. VLSI Technology and Circuits 2023: 1-2 - [i39]Ashwin Bhat, Arijit Raychowdhury:
Non-Uniform Interpolation in Integrated Gradients for Low-Latency Explainable-AI. CoRR abs/2302.11107 (2023) - [i38]Kshitij Bhardwaj, Zishen Wan, Arijit Raychowdhury, Ryan A. Goldhahn:
Real-Time Fully Unsupervised Domain Adaptation for Lane Detection in Autonomous Driving. CoRR abs/2306.16660 (2023) - [i37]Zishen Wan, Nandhini Chandramoorthy, Karthik Swaminathan, Pin-Yu Chen, Vijay Janapa Reddi, Arijit Raychowdhury:
BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems. CoRR abs/2307.10041 (2023) - 2022
- [j63]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. Integr. 87: 364-377 (2022) - [j62]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. ACM J. Emerg. Technol. Comput. Syst. 18(1): 4:1-4:17 (2022) - [j61]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. IEEE J. Solid State Circuits 57(1): 68-79 (2022) - [j60]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. IEEE J. Solid State Circuits 57(3): 845-857 (2022) - [j59]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. IEEE J. Solid State Circuits 57(8): 2545-2559 (2022) - [j58]Ashwin Sanjay Lele, Yan Fang, Justin Ting, Arijit Raychowdhury:
An End-to-End Spiking Neural Network Platform for Edge Robotics: From Event-Cameras to Central Pattern Generation. IEEE Trans. Cogn. Dev. Syst. 14(3): 1092-1103 (2022) - [j57]Samuel Spetalnick, Arijit Raychowdhury:
A Practical Design-Space Analysis of Compute-in-Memory With SRAM. IEEE Trans. Circuits Syst. I Regul. Pap. 69(4): 1466-1479 (2022) - [j56]Foroozan Karimzadeh, Jong-Hyeok Yoon, Arijit Raychowdhury:
BitS-Net: Bit-Sparse Deep Neural Network for Energy-Efficient RRAM-Based Compute-In-Memory. IEEE Trans. Circuits Syst. I Regul. Pap. 69(5): 1952-1961 (2022) - [j55]Rakshith Saligram, Suman Datta, Arijit Raychowdhury:
Design Space Exploration of Interconnect Materials for Cryogenic Operation: Electrical and Thermal Analyses. IEEE Trans. Circuits Syst. I Regul. Pap. 69(11): 4610-4618 (2022) - [c131]Zishen Wan, Ashwin Sanjay Lele, Bo Yu, Shaoshan Liu, Yu Wang, Vijay Janapa Reddi, Cong Hao, Arijit Raychowdhury:
Robotic Computing on FPGAs: Current Progress, Research Challenges, and Opportunities. AICAS 2022: 291-295 - [c130]Zishen Wan, Ashwin Sanjay Lele, Arijit Raychowdhury:
Circuit and System Technologies for Energy-Efficient Edge Robotics: (Invited Paper). ASP-DAC 2022: 275-280 - [c129]Muya Chang, Xunzhao Yin, Zoltán Toroczkai, Xiaobo Hu, Arijit Raychowdhury:
An Analog Clock-free Compute Fabric base on Continuous-Time Dynamical System for Solving Combinatorial Optimization Problems. CICC 2022: 1-2 - [c128]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. CICC 2022: 1-2 - [c127]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. DAC 2022: 745-750 - [c126]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. DATE 2022: 430-435 - [c125]Anupam Golder, Ashwin Bhat, Arijit Raychowdhury:
Exploration into the Explainability of Neural Network Models for Power Side-Channel Analysis. ACM Great Lakes Symposium on VLSI 2022: 59-64 - [c124]Zishen Wan, Karthik Swaminathan, Pin-Yu Chen, Nandhini Chandramoorthy, Arijit Raychowdhury:
Analyzing and Improving Resilience and Robustness of Autonomous Systems. ICCAD 2022: 102:1-102:9 - [c123]Adarsh Kumar Kosta, Malik Aqeel Anwar, Priyadarshini Panda, Arijit Raychowdhury, Kaushik Roy:
RAPID-RL: A Reconfigurable Architecture with Preemptive-Exits for Efficient Deep-Reinforcement Learning. ICRA 2022: 7492-7498 - [c122]Brian Crafton, Connor Talley, Samuel Spetalnick, Jong-Hyeok Yoon, Arijit Raychowdhury:
Characterization and Mitigation of IR-Drop in RRAM-based Compute In-Memory. ISCAS 2022: 70-74 - [c121]Ashwin Sanjay Lele, Arijit Raychowdhury:
Fusing Frame and Event Vision for High-speed Optical Flow for Edge Application. ISCAS 2022: 804-808 - [c120]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/768KB RRAM/SRAM System with Embedded Cortex M3 Microprocessor for Edge Recommendation Systems. ISSCC 2022: 1-3 - [c119]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/mm2RRAM Binary/Compute-in-Memory Macro with 4.23x Improvement in Density and >75% Use of Sensing Dynamic Range. ISSCC 2022: 1-3 - [c118]Ashwin Bhat, Adou Sangbone Assoa, Arijit Raychowdhury:
Gradient Backpropagation based Feature Attribution to Enable Explainable-AI on the Edge. VLSI-SoC 2022: 1-6 - [c117]Foroozan Karimzadeh, Arijit Raychowdhury:
Towards Energy Efficient DNN accelerator via Sparsified Gradual Knowledge Distillation. VLSI-SoC 2022: 1-6 - [c116]Foroozan Karimzadeh, Arijit Raychowdhury:
Towards CIM-friendly and Energy-Efficient DNN Accelerator via Bit-level Sparsity. VLSI-SoC 2022: 1-2 - [c115]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. VLSI Technology and Circuits 2022: 176-177 - [c114]Wriddhi Chakraborty, P. Shrestha, A. Gupta, Rakshith Saligram, Samuel Spetalnick, J. Campbell, Arijit Raychowdhury, Suman Datta:
Multi-bit per-cell 1T SiGe Floating Body RAM for Cache Memory in Cryogenic Computing. VLSI Technology and Circuits 2022: 302-303 - [i36]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. CoRR abs/2202.08952 (2022) - [i35]Zishen Wan, Ashwin Sanjay Lele, Arijit Raychowdhury:
Circuit and System Technologies for Energy-Efficient Edge Robotics. CoRR abs/2202.11237 (2022) - [i34]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. CoRR abs/2203.07276 (2022) - [i33]Zishen Wan, Ashwin Sanjay Lele, Bo Yu, Shaoshan Liu, Yu Wang, Vijay Janapa Reddi, Cong Hao, Arijit Raychowdhury:
Robotic Computing on FPGAs: Current Progress, Research Challenges, and Opportunities. CoRR abs/2205.07149 (2022) - [i32]Ashwin Sanjay Lele, Arijit Raychowdhury:
Fusing Frame and Event Vision for High-speed Optical Flow for Edge Application. CoRR abs/2207.10720 (2022) - [i31]Ashwin Bhat, Adou Sangbone Assoa, Arijit Raychowdhury:
Gradient Backpropagation based Feature Attribution to Enable Explainable-AI on the Edge. CoRR abs/2210.10922 (2022) - 2021
- [j54]Brian Crafton, Samuel Spetalnick, Yan Fang, Arijit Raychowdhury:
Merged Logic and Memory Fabrics for Accelerating Machine Learning Workloads. IEEE Des. Test 38(1): 39-68 (2021) - [j53]Debayan Das, Santosh Ghosh, Arijit Raychowdhury, Shreyas Sen:
EM/Power Side-Channel Attack: White-Box Modeling and Signature Attenuation Countermeasures. IEEE Des. Test 38(3): 67-75 (2021) - [j52]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. IEEE J. Solid State Circuits 56(1): 66-78 (2021) - [j51]Debayan Das, Josef Danial, Anupam Golder, Nirmoy Modak, Shovan Maity, Baibhab Chatterjee, Dong-Hyun Seo, Muya Chang, Avinash Varna, Harish K. Krishnamurthy, Sanu Mathew, Santosh Ghosh, Arijit Raychowdhury, Shreyas Sen:
EM and Power SCA-Resilient AES-256 Through >350× Current-Domain Signature Attenuation and Local Lower Metal Routing. IEEE J. Solid State Circuits 56(1): 136-150 (2021) - [j50]Foroozan Karimzadeh, Ningyuan Cao, Brian Crafton, Justin Romberg, Arijit Raychowdhury:
A Hardware-Friendly Approach Towards Sparse Neural Networks Based on LFSR-Generated Pseudo-Random Sequences. IEEE Trans. Circuits Syst. I Regul. Pap. 68(2): 751-764 (2021) - [j49]Minxiang Gong, Ningyuan Cao, Muya Chang, Arijit Raychowdhury:
A 65nm Thermometer-Encoded Time/Charge-Based Compute-in-Memory Neural Network Accelerator at 0.735pJ/MAC and 0.41pJ/Update. IEEE Trans. Circuits Syst. II Express Briefs 68(4): 1408-1412 (2021) - [c113]Brian Crafton, Andrew Paredes, Evan Gebhardt, Arijit Raychowdhury:
Hardware-Algorithm Co-Design Enabling Efficient Event-based Object Detection. AICAS 2021: 1-4 - [c112]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. AICAS 2021: 1-4 - [c111]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. AICAS 2021: 1-4 - [c110]Brian Crafton, Samuel Spetalnick, Arijit Raychowdhury:
Merged Logic and Memory Fabrics for AI Workloads. ASP-DAC 2021: 305-310 - [c109]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. A-SSCC 2021: 1-3 - [c108]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. CICC 2021: 1-2 - [c107]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. CICC 2021: 1-2 - [c106]Jong-Hyeok Yoon, Muya Chang, Win-San Khwa, Yu-Der Chih, Meng-Fan Chang, Arijit Raychowdhury:
A 40nm 100Kb 118.44TOPS/W Ternary-weight Computein-Memory RRAM Macro with Voltage-sensing Read and Write Verification for reliable multi-bit RRAM operation. CICC 2021: 1-2 - [c105]Zishen Wan, Aqeel Anwar, Yu-Shun Hsiao, Tianyu Jia, Vijay Janapa Reddi, Arijit Raychowdhury:
Analyzing and Improving Fault Tolerance of Learning-Based Navigation Systems. DAC 2021: 841-846 - [c104]Brian Crafton, Samuel Spetalnick, Jong-Hyeok Yoon, Arijit Raychowdhury:
Statistical Optimization of Compute In-Memory Performance Under Device Variation. ISLPED 2021: 1-6 - [c103]Brian Crafton, Arijit Raychowdhury, Sung Kyu Lim:
Automatic Generation of Translators for Packet-Based and Emerging Protocols. ISQED 2021: 488-495 - [c102]Jong-Hyeok Yoon, Muya Chang, Win-San Khwa, Yu-Der Chih, Meng-Fan Chang, Arijit Raychowdhury:
29.1 A 40nm 64Kb 56.67TOPS/W Read-Disturb-Tolerant Compute-in-Memory/Digital RRAM Macro with Active-Feedback-Based Read and In-Situ Write Verification. ISSCC 2021: 404-406 - [c101]Arijit Raychowdhury, Mijung Noh, Keith A. Bowman:
Session 35 Overview: Adaptive Digital Techniques for Variation Tolerant Systems Digital Circuits Subcommittee. ISSCC 2021: 488-489 - [c100]Nick Van Helleputte, Arijit Raychowdhury, Ping-Hsuan Hsieh, Jun Deguchi, Matteo Perenzoni, Esther Rodríguez-Villegas, Long Yan, Andreia Cathelin, Keith A. Bowman, Chris Van Hoof:
F3: Silicon Technologies in the Fight Against Pandemics - From Point of Care to Computational Epidemiology. ISSCC 2021: 520-524 - [c99]Edoardo Charbon, Alicia Klinefelter, Massimo Alioto, Yao-Hong Liu, Munehiko Nagatani, Arijit Raychowdhury, Andreia Cathelin, Boris Murmann:
F4: Electronics for a Quantum World. ISSCC 2021: 525-528 - [c98]Sihan Zeng, Malik Aqeel Anwar, Thinh T. Doan, Arijit Raychowdhury, Justin Romberg:
A decentralized policy gradient approach to multi-task reinforcement learning. UAI 2021: 1002-1012 - [i30]Aqeel Anwar, Arijit Raychowdhury:
Multi-Task Federated Reinforcement Learning with Adversaries. CoRR abs/2103.06473 (2021) - [i29]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. CoRR abs/2104.00192 (2021) - [i28]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. CoRR abs/2104.05112 (2021) - [i27]Yu-Shun Hsiao, Zishen Wan, Tianyu Jia, Radhika Ghosal, Arijit Raychowdhury, David Brooks, Gu-Yeon Wei, Vijay Janapa Reddi:
MAVFI: An End-to-End Fault Analysis Framework with Anomaly Detection and Recovery for Micro Aerial Vehicles. CoRR abs/2105.12882 (2021) - [i26]Adarsh Kumar Kosta, Malik Aqeel Anwar, Priyadarshini Panda, Arijit Raychowdhury, Kaushik Roy:
RAPID-RL: A Reconfigurable Architecture with Preemptive-Exits for Efficient Deep-Reinforcement Learning. CoRR abs/2109.08231 (2021) - [i25]Zishen Wan, Aqeel Anwar, Yu-Shun Hsiao, Tianyu Jia, Vijay Janapa Reddi, Arijit Raychowdhury:
Analyzing and Improving Fault Tolerance of Learning-Based Navigation Systems. CoRR abs/2111.04957 (2021) - 2020
- [j48]Aqeel Anwar, Arijit Raychowdhury:
Autonomous Navigation via Deep Reinforcement Learning for Resource Constraint Edge Nodes Using Transfer Learning. IEEE Access 8: 26549-26560 (2020) - [j47]Josef Danial, Debayan Das, Santosh Ghosh, Arijit Raychowdhury, Shreyas Sen:
SCNIFFER: Low-Cost, Automated, Efficient Electromagnetic Side-Channel Sniffing. IEEE Access 8: 173414-173427 (2020) - [j46]Ashwin Sanjay Lele, Yan Fang, Justin Ting, Arijit Raychowdhury:
Learning to Walk: Bio-Mimetic Hexapod Locomotion via Reinforcement-Based Spiking Central Pattern Generation. IEEE J. Emerg. Sel. Topics Circuits Syst. 10(4): 536-545 (2020) - [j45]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. IEEE J. Solid State Circuits 55(1): 49-59 (2020) - [j44]Muya Chang, Li-Hsiang Lin, Justin Romberg, Arijit Raychowdhury:
OPTIMO: A 65-nm 279-GOPS/W 16-b Programmable Spatial-Array Processor with On-Chip Network for Solving Distributed Optimizations via the Alternating Direction Method of Multipliers. IEEE J. Solid State Circuits 55(3): 629-638 (2020) - [j43]Ali Keshavarzi, Kai Ni, Wilbert van den Hoek, Suman Datta, Arijit Raychowdhury:
FerroElectronics for Edge Intelligence. IEEE Micro 40(6): 33-48 (2020) - [c97]Aqeel Anwar, Arijit Raychowdhury, Ryan Hatcher, Titash Rakshit:
XBAROPT - Enabling Ultra-Pipelined, Novel STT MRAM Based Processing-in-Memory DNN Accelerator. AICAS 2020: 36-40 - [c96]Ashwin Sanjay Lele, Yan Fang, Justin Ting, Arijit Raychowdhury:
Learning to Walk: Spike Based Reinforcement Learning for Hexapod Robot Central Pattern Generation. AICAS 2020: 208-212 - [c95]Debayan Das, Josef Danial, Anupam Golder, Santosh Ghosh, Arijit Raychowdhury, Shreyas Sen:
Deep Learning Side-Channel Attack Resilient AES-256 using Current Domain Signature Attenuation in 65nm CMOS. CICC 2020: 1-4 - [c94]Justin Ting, Yan Fang, Ashwin Sanjay Lele, Arijit Raychowdhury:
Bio-inspired Gait Imitation of Hexapod Robot Using Event-Based Vision Sensor and Spiking Neural Network. IJCNN 2020: 1-7 - [c93]Samantak Gangopadhyay, James W. Tschanz, Arijit Raychowdhury:
A Quad-Output Elastic Switched Capacitor Converter and Per-Core LDO with 87% Power Efficiency and 2.5× Core-Frequency Range Improvement. ISCAS 2020: 1-5 - [c92]Foroozan Karimzadeh, Ningyuan Cao, Brian Crafton, Justin Romberg, Arijit Raychowdhury:
Hardware-Aware Pruning of DNNs using LFSR-Generated Pseudo-Random Indices. ISCAS 2020: 1-5 - [c91]Debayan Das, Josef Danial, Anupam Golder, Nirmoy Modak, Shovan Maity, Baibhab Chatterjee, Dong-Hyun Seo, Muya Chang, Avinash Varna, Harish Krishnamurthy, Sanu Mathew, Santosh Ghosh, Arijit Raychowdhury, Shreyas Sen:
27.3 EM and Power SCA-Resilient AES-256 in 65nm CMOS Through >350× Current-Domain Signature Attenuation. ISSCC 2020: 424-426 - [c90]Jong-Hyeok Yoon, Arijit Raychowdhury:
31.1 A 65nm 8.79TOPS/W 23.82mW Mixed-Signal Oscillator-Based NeuroSLAM Accelerator for Applications in Edge Robotics. ISSCC 2020: 478-480 - [c89]Minxiang Gong, Xin Zhang, Arijit Raychowdhury:
Non-isolated 48V-to-1V Heterogeneous Integrated Voltage Converters for High Performance Computing in Data Centers. MWSCAS 2020: 411-414 - [c88]Brian Crafton, Samuel Spetalnick, Gauthaman Murali, Tushar Krishna, Sung Kyu Lim, Arijit Raychowdhury:
Breaking Barriers: Maximizing Array Utilization for Compute in-Memory Fabrics. VLSI-SOC 2020: 123-128 - [c87]Rakshith Saligram, Ankit Kaul, Muhannad S. Bakir, Arijit Raychowdhury:
Multilevel Signaling for High-Speed Chiplet-to-Chiplet Communication. VLSI-SoC (Selected Papers) 2020: 149-178 - [c86]Rakshith Saligram, Ankit Kaul, Muhannad S. Bakir, Arijit Raychowdhury:
A Model Study of Multilevel Signaling for High-Speed Chiplet-to-Chiplet Communication in 2.5D Integration. VLSI-SOC 2020: 159-164 - [c85]Foroozan Karimzadeh, Arijit Raychowdhury:
Memory and Energy Efficient Method Toward Sparse Neural Network Using LFSR Indexing. VLSI-SOC 2020: 206-207 - [c84]Ashwin Sanjay Lele, Yan Fang, Justin Ting, Arijit Raychowdhury:
Online Reward-Based Training of Spiking Central Pattern Generator for Hexapod Locomotion. VLSI-SOC 2020: 208-209 - [c83]Brian Crafton, Samuel Spetalnick, Gauthaman Murali, Tushar Krishna, Sung Kyu Lim, Arijit Raychowdhury:
Statistical Array Allocation and Partitioning for Compute In-Memory Fabrics. VLSI-SoC (Selected Papers) 2020: 323-341 - [c82]Ningyuan Cao, Baibhab Chatterjee, Minxiang Gong, Muya Chang, Shreyas Sen, Arijit Raychowdhury:
A 65nm Image Processing SoC Supporting Multiple DNN Models and Real-Time Computation-Communication Trade-Off Via Actor-Critical Neuro-Controller. VLSI Circuits 2020: 1-2 - [i24]Ashwin Sanjay Lele, Yan Fang, Justin Ting, Arijit Raychowdhury:
Learning to Walk: Spike Based Reinforcement Learning for Hexapod Robot Central Pattern Generation. CoRR abs/2003.10026 (2020) - [i23]Justin Ting, Yan Fang, Ashwin Sanjay Lele, Arijit Raychowdhury:
Bio-inspired Gait Imitation of Hexapod Robot Using Event-Based Vision Sensor and Spiking Neural Network. CoRR abs/2004.05450 (2020) - [i22]Brian Crafton, Samuel Spetalnick, Arijit Raychowdhury:
Counting Cards: Exploiting Weight and Variance Distributions for Robust Compute In-Memory. CoRR abs/2006.03117 (2020) - [i21]Sihan Zeng, Aqeel Anwar, Thinh T. Doan, Justin Romberg, Arijit Raychowdhury:
A Decentralized Policy Gradient Approach to Multi-task Reinforcement Learning. CoRR abs/2006.04338 (2020) - [i20]Brian Crafton, Samuel Spetalnick, Gauthaman Murali, Tushar Krishna, Sung Kyu Lim, Arijit Raychowdhury:
Breaking Barriers: Maximizing Array Utilization for Compute In-Memory Fabrics. CoRR abs/2008.06741 (2020) - [i19]