Vijaykrishnan Narayanan

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 170

Top Venues

CoRR

ISVLSI

IEEE Trans. Very Large Scale Integr. Syst.

DATE

Publications

Ikenna Okafor, Akshay Krishna Ramanathan, Nagadastagiri Challapalle, Zheyu Li, Vijaykrishnan Narayanan
Fusing In-storage and Near-storage Acceleration of Convolutional Neural Networks. ACM J. Emerg. Technol. Comput. Syst. 20 (1) (2024)
Taixin Li, Boran Sun, Hongtao Zhong, Yixin Xu, Vijaykrishnan Narayanan, Liang Shi, Tianyi Wang, Yao Yu, Thomas Kämpfe, Kai Ni, Huazhong Yang, Xueqing Li
ProtFe: Low-Cost Secure Power Side-Channel Protection for General and Custom FeFET-Based Memories. ACM Trans. Design Autom. Electr. Syst. 29 (1) (2024)
Chonghan Lee, Rita Brugarolas Brufau, Ke Ding, Vijaykrishnan Narayanan
Token Adaptive Vision Transformer with Efficient Deployment for Fine-Grained Image Recognition. DATE (2023)
Taixin Li, Hongtao Zhong, Sumitha George, Vijaykrishnan Narayanan, Liang Shi, Huazhong Yang, Xueqing Li
Design Exploration of Dynamic Multi-Level Ternary Content-Addressable Memory Using Nanoelectromechanical Relays. ISVLSI (2023)
Samuel Abrams, Vijaykrishnan Narayanan
Extending Action Recognition in the Compressed Domain. VLSID (2023)
Vijaykrishnan Narayanan
Lightning Talk: Can memory technologies meet demands of data abundant applications? DAC (2023)
Zijian Zhao, Shan Deng, Swetaki Chatterjee, Zhouhang Jiang, Muhammad Shaffatul Islam, Yi Xiao, Yixin Xu, Scott Meninger, Mohamed Mohamed, Rajiv V. Joshi, Yogesh Singh Chauhan, Halid Mulaosmanovic, Stefan Dünkel, Dominik Kleimaier, Sven Beyer, Hussam Amrouch, Vijaykrishnan Narayanan, Kai Ni
Powering Disturb-Free Reconfigurable Computing and Tunable Analog Electronics with Dual-Port Ferroelectric FET. CoRR (2023)
Abhijeet Kumar, Samuel Abrams, Abhishek Kumar, Vijaykrishnan Narayanan
STAR: Efficient SpatioTemporal Modeling for Action Recognition. Circuits Syst. Signal Process. 42 (2) (2023)
Yi Xiao, Yixin Xu, Shan Deng, Zijian Zhao, Sumitha George, Kai Ni, Vijaykrishnan Narayanan
A Compact Ferroelectric 2T-(n+1)C Cell to Implement AND-OR Logic in Memory. ISVLSI (2023)
Hongtao Zhong, Zhonghao Chen, Wenqin Huangfu, Chen Wang, Yixin Xu, Tianyi Wang, Yao Yu, Yongpan Liu, Vijaykrishnan Narayanan, Huazhong Yang, Xueqing Li
ASMCap: An Approximate String Matching Accelerator for Genome Sequence Analysis Based on Capacitive Content Addressable Memory. CoRR (2023)
Md Mazharul Islam, Shamiul Alam, Mohammad Adnan Jahangir, Garrett S. Rose, Suman Datta, Vijaykrishnan Narayanan, Sumeet Kumar Gupta, Ahmedullah Aziz
Reimagining Sense Amplifiers: Harnessing Phase Transition Materials for Current and Voltage Sensing. CoRR (2023)
Hongtao Zhong, Zhonghao Chen, Wenqin Huangfu, Chen Wang, Yixin Xu, Tianyi Wang, Yao Yu, Yongpan Liu, Vijaykrishnan Narayanan, Huazhong Yang, Xueqing Li
ASMCap: An Approximate String Matching Accelerator for Genome Sequence Analysis Based on Capacitive Content Addressable Memory. DAC (2023)
Juejian Wu, Tianyu Liao, Taixin Li, Yixin Xu, Vijaykrishnan Narayanan, Yongpan Liu, Huazhong Yang, Xueqing Li
Lowering Latency of Embedded Memory by Exploiting In-Cell Victim Cache Hierarchy Based on Emerging Multi-Level Memory Devices. ICCAD (2023)
Yiming Chen, Yushen Fu, Mingyen Lee, Sumitha George, Yongpan Liu, Vijaykrishnan Narayanan, Huazhong Yang, Xueqing Li
FAST: A Fully-Concurrent Access SRAM Topology for High Row-Wise Parallelism Applications Based on Dynamic Shift Operations. IEEE Trans. Circuits Syst. II Express Briefs 70 (4) (2023)
Wenjun Tang, Mingyen Lee, Juejian Wu, Yixin Xu, Yao Yu, Yongpan Liu, Kai Ni, Yu Wang, Huazhong Yang, Vijaykrishnan Narayanan, Xueqing Li
FeFET-Based Logic-in-Memory Supporting SA-Free Write-Back and Fully Dynamic Access With Reduced Bitline Charging Activity and Recycled Bitline Charge. IEEE Trans. Circuits Syst. I Regul. Pap. 70 (6) (2023)
Tianyi Shen, Chonghan Lee, Vijaykrishnan Narayanan
Multi-Exit Vision Transformer with Custom Fine-Tuning for Fine-Grained Image Recognition. ICIP (2023)
Sadia Anjum Tumpa, Sonali Singh, Md Fahim Faysal Khan, Mahmut Taylan Kandemir, Vijaykrishnan Narayanan, Chita R. Das
Federated Learning with Spiking Neural Networks in Heterogeneous Systems. ISVLSI (2023)
Yixin Xu, Yi Xiao, Zijian Zhao, Franz Müller, Alptekin Vardar, Xiao Gong, Sumitha George, Thomas Kämpfe, Vijaykrishnan Narayanan, Kai Ni
Embedding Security into Ferroelectric FET Array via In-Situ Memory Operation. CoRR (2023)
Mingyen Lee, Wenjun Tang, Yiming Chen, Juejian Wu, Hongtao Zhong, Yixin Xu, Yongpan Liu, Huazhong Yang, Vijaykrishnan Narayanan, Xueqing Li
Victor: A Variation-resilient Approach Using Cell-Clustered Charge-domain computing for High-density High-throughput MLC CiM. DAC (2023)
Kai Ni, Yi Xiao, Shan Deng, Vijaykrishnan Narayanan
Computational Associative Memory Powered by Ferroelectric Memory. DRC (2023)
Zeinab Hakimi, Vijaykrishnan Narayanan
Fine-to-Coarse Object Classification of Very Large Images. ICIP (2023)
Yi Zheng, Joshua Fixelle, Pingyi Huo, Mircea Stan, Michael Mesnier, Vijaykrishnan Narayanan
ISVABI: In-Storage Video Analytics Engine with Block Interface. LCTES (2023)
Hongtao Zhong, Yu Zhu, Longfei Luo, Taixin Li, Chen Wang, Yixin Xu, Tianyi Wang, Yao Yu, Vijaykrishnan Narayanan, Yongpan Liu, Liang Shi, Huazhong Yang, Xueqing Li
Fe-GCN: A 3D FeFET Memory Based PIM Accelerator for Graph Convolutional Networks. ISVLSI (2023)
Shamiul Alam, Jack Hutchins, Md. Shafayat Hossain, Kai Ni, Vijaykrishnan Narayanan, Ahmedullah Aziz
Cryogenic In-Memory Matrix-Vector Multiplication using Ferroelectric Superconducting Quantum Interference Device (FE-SQUID). DAC (2023)
Jianfeng Wang, Zhonghao Chen, Yiming Chen, Yixin Xu, Tianyi Wang, Yao Yu, Vijaykrishnan Narayanan, Sumitha George, Huazhong Yang, Xueqing Li
WeightLock: A Mixed-Grained Weight Encryption Approach Using Local Decrypting Units for Ciphertext Computing in DNN Accelerators. AICAS (2023)
Amit Puri, John Jose, Tamarapalli Venkatesh, Vijaykrishnan Narayanan
DRackSim: Simulator for Rack-scale Memory Disaggregation. CoRR (2023)
Jianfeng Wang, Zhonghao Chen, Jiahao Zhang, Yixin Xu, Tongguang Yu, Enze Ye, Ziheng Zheng, Huazhong Yang, Sumitha George, Yongpan Liu, Vijaykrishnan Narayanan, Xueqing Li
ALL-MASK: A Reconfigurable Logic Locking Method for Multicore Architecture with Sequential-Instruction-Oriented Key. CoRR (2022)
Yi Zheng, Joshua Fixelle, Nagadastagiri Challapalle, Pingyi Huo, Zhaoyan Shen, Zili Shao, Mircea Stan, Vijaykrishnan Narayanan
ISKEVA: in-SSD key-value database engine for video analytics applications. LCTES (2022)
Jian Zhang, Jian Tang, Yiran Chen, Jie Liu, Jieping Ye, Marilyn Wolf, Vijaykrishnan Narayanan, Mani B. Srivastava, Michael I. Jordan, Victor Bahl
The 5th Artificial Intelligence of Things (AIoT) Workshop. KDD (2022)
Xinrui Guo, Xiaoyang Ma, Franz Müller, Kai Ni, Thomas Kämpfe, Yongpan Liu, Vijaykrishnan Narayanan, Xueqing Li
Ferroelectric FET-based strong physical unclonable function: a low-power, high-reliable and reconfigurable solution for Internet-of-Things security. CoRR (2022)
Sethu Jose, John Sampson, Vijaykrishnan Narayanan, Mahmut Taylan Kandemir
A Scheduling Framework for Decomposable Kernels on Energy Harvesting IoT Edge Nodes. ACM Great Lakes Symposium on VLSI (2022)
Jianfeng Wang, Nuo Xiu, Juejian Wu, Yiming Chen, Yanan Sun, Huazhong Yang, Vijaykrishnan Narayanan, Sumitha George, Xueqing Li
An 8T/Cell FeFET-Based Nonvolatile SRAM with Improved Density and Sub-fJ Backup and Restore Energy. ISCAS (2022)
Nagadastagiri Challapalle, Vijaykrishnan Narayanan
Performance Evaluation of Video Analytics Workloads on Emerging Processing-In-Memory Architectures. ISVLSI (2022)
Yiming Chen, Guohao Dai, Mufeng Zhou, Mingyen Lee, Nagadastagiri Challapalle, Guodong Yin, Zekun Yang, Yongpan Liu, Huazhong Yang, Vijaykrishnan Narayanan, Xueqing Li
GRAPHIC: GatheR-And-Process in Highly parallel with In-SSD Compression Architecture in Very Large-Scale Graph. CoRR (2022)
Xiaoyang Ma, Hongtao Zhong, Nuo Xiu, Yiming Chen, Guodong Yin, Vijaykrishnan Narayanan, Yongpan Liu, Kai Ni, Huazhong Yang, Xueqing Li
CapCAM: A Multilevel Capacitive Content Addressable Memory for High-Accuracy and High-Scalability Search and Compute Applications. IEEE Trans. Very Large Scale Integr. Syst. 30 (11) (2022)
Antik Mallick, Zijian Zhao, Mohammad Khairul Bashar, Shamiul Alam, Md. Mazharul Islam, Yi Xiao, Yixin Xu, Ahmedullah Aziz, Vijaykrishnan Narayanan, Kai Ni, Nikhil Shukla
CMOS-Compatible Ising Machines built using Bistable Latches Coupled through Ferroelectric Transistor Arrays. CoRR (2022)
Cyan Subhra Mishra, Jack Sampson, Mahmut Taylan Kandemir, Vijaykrishnan Narayanan
Seeker: Synergizing Mobile and Energy Harvesting Wearable Sensors for Human Activity Recognition. CoRR (2022)
Md Fahim Faysal Khan, Anusha Devulapally, Siddharth Advani, Vijaykrishnan Narayanan
Robust Multimodal Depth Estimation using Transformer based Generative Adversarial Networks. ACM Multimedia (2022)
Sooyeon Lee, Nelson Daniel Troncoso Aldas, Chonghan Lee, Mary Beth Rosson, John M. Carroll, Vijaykrishnan Narayanan
AIGuide: Augmented Reality Hand Guidance in a Visual Prosthetic. ACM Trans. Access. Comput. 15 (2) (2022)
Yiming Chen, Yushen Fu, Mingyen Lee, Sumitha George, Yongpan Liu, Vijaykrishnan Narayanan, Huazhong Yang, Xueqing Li
FAST: A Fully-Concurrent Access Technique to All SRAM Rows for Enhanced Speed and Energy Efficiency in Data-Intensive Applications. CoRR (2022)
Zhouhang Jiang, Yi Xiao, Swetaki Chatterjee, Halid Mulaosmanovic, Stefan Dünkel, Steven Soss, Sven Beyer, Rajiv V. Joshi, Yogesh Singh Chauhan, Hussam Amrouch, Vijaykrishnan Narayanan, Kai Ni
Asymmetric Double-Gate Ferroelectric FET to Decouple the Tradeoff Between Thickness Scaling and Memory Window. VLSI Technology and Circuits (2022)
Akshay Krishna Ramanathan, Sara Mahdizadeh-Shahri, Yi Xiao, Vijaykrishnan Narayanan
Achieving Crash Consistency by Employing Persistent L1 Cache. DATE (2022)
Yixin Xu, Zijian Zhao, Yi Xiao, Tongguang Yu, Halid Mulaosmanovic, Dominik Kleimaier, Stefan Dünkel, Sven Beyer, Xiao Gong, Rajiv V. Joshi, X. Sharon Hu, Shixian Wen, Amanda Sofie Rios, Kiran Lekkala, Laurent Itti, Eric Homan, Sumitha George, Vijaykrishnan Narayanan, Kai Ni
Ferroelectric FET based Context-Switching FPGA Enabling Dynamic Reconfiguration for Adaptive Deep Learning Machines. CoRR (2022)
Shamiul Alam, Md. Mazharul Islam, Md. Shafayat Hossain, Kai Ni, Vijaykrishnan Narayanan, Ahmedullah Aziz
Cryogenic Memory Array based on Ferroelectric SQUID and Heater Cryotron. DRC (2022)
Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris
Communication-Efficient $k$k-Means for Edge-Based Machine Learning. IEEE Trans. Parallel Distributed Syst. 33 (10) (2022)
Chonghan Lee, Md Fahim Faysal Khan, Rita Brugarolas Brufau, Ke Ding, Vijaykrishnan Narayanan
Token and Head Adaptive Transformers for Efficient Natural Language Processing. COLING (2022)
Sonali Singh, Anup Sarma, Sen Lu, Abhronil Sengupta, Mahmut T. Kandemir, Emre Neftci, Vijaykrishnan Narayanan, Chita R. Das
Skipper: Enabling efficient SNN training through activation-checkpointing and time-skipping. MICRO (2022)
Shamiul Alam, Md. Shafayat Hossain, Kai Ni, Vijaykrishnan Narayanan, Ahmedullah Aziz
Voltage-controlled Cryogenic Boolean Logic Family Based on Ferroelectric SQUID. CoRR (2022)
Hongtao Zhong, Shengjie Cao, Li Jiang, Xia An, Vijaykrishnan Narayanan, Yongpan Liu, Huazhong Yang, Xueqing Li
DyTAN: Dynamic Ternary Content Addressable Memory Using Nanoelectromechanical Relays. IEEE Trans. Very Large Scale Integr. Syst. 29 (11) (2021)
Siddhartha Balakrishna Rai, Anand Sivasubramaniam, Adithya Kumar, Prasanna Venkatesh Rengasamy, Vijaykrishnan Narayanan, Ameen Akel, Sean Eilert
Design space for scaling-in general purpose computing within the DDR DRAM hierarchy for map-reduce workloads. CF (2021)
Shan Deng, Zijian Zhao, Santosh Kurinec, Kai Ni, Yi Xiao, Tongguang Yu, Vijaykrishnan Narayanan
Overview of Ferroelectric Memory Devices and Reliability Aware Design Optimization. ACM Great Lakes Symposium on VLSI (2021)
Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris
Communication-efficient k-Means for Edge-based Machine Learning. CoRR (2021)
Mohammad Khairul Bashar, Jaykumar Vaidya, Antik Mallick, R. S. Surya Kanthi, Shamiul Alam, Nazmul Amin, Chonghan Lee, Feng Shi, Ahmedullah Aziz, Vijaykrishnan Narayanan, Nikhil Shukla
An Oscillator-based MaxSAT solver. CoRR (2021)
Md Fahim Faysal Khan, Nelson Daniel Troncoso Aldas, Abhishek Kumar, Siddharth Advani, Vijaykrishnan Narayanan
Sparse to Dense Depth Completion using a Generative Adversarial Network with Intelligent Sampling Strategies. ACM Multimedia (2021)
Srivatsa Srinivasa, Akshay Krishna Ramanathan, Jainaveen Sundaram, Dileep Kurian, Srinivasan Gopal, Nilesh Jain, Anuradha Srinivasan, Ravi R. Iyer, Vijaykrishnan Narayanan, Tanay Karnik
Trends and Opportunities for SRAM Based In-Memory and Near-Memory Computation. ISQED (2021)
Anup Sarma, Sonali Singh, Huaipan Jiang, Ashutosh Pattnaik, Asit K. Mishra, Vijaykrishnan Narayanan, Mahmut T. Kandemir, Chita R. Das
Exploiting Activation based Gradient Output Sparsity to Accelerate Backpropagation in CNNs. CoRR (2021)
Nagadastagiri Challapalle, Karthik Swaminathan, Nandhini Chandramoorthy, Vijaykrishnan Narayanan
Crossbar based Processing in Memory Accelerator Architecture for Graph Convolutional Networks. ICCAD (2021)
Helena Caminal, Kailin Yang, Srivatsa Srinivasa, Akshay Krishna Ramanathan, Khalid Al-Hawaj, Tianshu Wu, Vijaykrishnan Narayanan, Christopher Batten, José F. Martínez
CAPE: A Content-Addressable Processing Engine. HPCA (2021)
Tongguang Yu, Yixin Xu, Shan Deng, Zijian Zhao, Nicholas Jao, You Sung Kim, Stefan Dünkel, Sven Beyer, Kai Ni, Sumitha George, Vijaykrishnan Narayanan
Hardware Functional Obfuscation With Ferroelectric Active Interconnects. CoRR (2021)
Cyan Subhra Mishra, Jack Sampson, Mahmut Taylan Kandemir, Vijaykrishnan Narayanan
Origin: Enabling On-Device Intelligence for Human Activity Recognition Using Energy Harvesting Wireless Sensor Networks. DATE (2021)
Lizy Kurian John, Vijaykrishnan Narayanan
Microprocessor at 50: Industry Leaders Speak. IEEE Micro 41 (6) (2021)
Jian Zhang, Jian Tang, Yiran Chen, Jie Liu, Jieping Ye, Marilyn Wolf, Vijaykrishnan Narayanan, Mani Srivastava, Michael I. Jordan, Victor Bahl
The 4th Artificial Intelligence of Things (AIoT) Workshop. KDD (2021)
Feng Shi, Chonghan Lee, Mohammad Khairul Bashar, Nikhil Shukla, Song-Chun Zhu, Vijaykrishnan Narayanan
Transformer-based Machine Learning for Fast SAT Solvers and Logic Synthesis. CoRR (2021)
Feng Shi, Chonghan Lee, Liang Qiu, Yizhou Zhao, Tianyi Shen, Shivran Muralidhar, Tian Han, Song-Chun Zhu, Vijaykrishnan Narayanan
STAR: Sparse Transformer-based Action Recognition. CoRR (2021)
Sonali Singh, Anup Sarma, Sen Lu, Abhronil Sengupta, Vijaykrishnan Narayanan, Chita R. Das
Gesture-SNN: Co-optimizing accuracy, latency and energy of SNNs for neuromorphic vision sensors. ISLPED (2021)
Bagus Hanindhito, Karthik Swaminathan, Vijaykrishnan Narayanan, Lizy Kurian John
Intel Wins in Four Decades, but AMD Catches Up. IEEE Micro 41 (6) (2021)
Xiao Liu, Minxuan Zhou, Rachata Ausavarungnirun, Sean Eilert, Ameen Akel, Tajana Rosing, Vijaykrishnan Narayanan, Jishen Zhao
FPRA: A Fine-grained Parallel RRAM Architecture. ISLPED (2021)
Zeinab Hakimi, Vijaykrishnan Narayanan
Resolution-Aware Deep Multi-View Camera Systems. DATE (2021)
Nicholas Jao, Akshay Krishna Ramanathan, John Sampson, Vijaykrishnan Narayanan
Sparse Vector-Matrix Multiplication Acceleration in Diode-Selected Crossbars. IEEE Trans. Very Large Scale Integr. Syst. 29 (12) (2021)
Keni Qiu, Nicholas Jao, Kunyu Zhou, Yongpan Liu, Jack Sampson, Mahmut Taylan Kandemir, Vijaykrishnan Narayanan
MaxTracker: Continuously Tracking the Maximum Computation Progress for Energy Harvesting ReRAM-based CNN Accelerators. ACM Trans. Embed. Comput. Syst. 20 (5s) (2021)
Mohammad Khairul Bashar, Jaykumar Vaidya, R. S. Surya Kanthi, Chonghan Lee, Feng Shi, Vijaykrishnan Narayanan, Nikhil Shukla
Ferroelectric-based Accelerators for Computationally Hard Problems. ACM Great Lakes Symposium on VLSI (2021)
Lizy Kurian John, Vijaykrishnan Narayanan
Microprocessor at 50: A Time to Celebrate and Energize for the Future. IEEE Micro 41 (6) (2021)
Zheyu Li, Nagadastagiri Challapalle, Akshay Krishna Ramanathan, Vijaykrishnan Narayanan
IMC-Sort: In-Memory Parallel Sorting Architecture using Hybrid Memory Cube. ACM Great Lakes Symposium on VLSI (2020)
Nagadastagiri Challapalle, Sahithi Rampalli, Nicholas Jao, Akshay Krishna Ramanathan, John Sampson, Vijaykrishnan Narayanan
FARM: A Flexible Accelerator for Recurrent and Memory Augmented Neural Networks. J. Signal Process. Syst. 92 (11) (2020)
Nelson Daniel Troncoso Aldas, Sooyeon Lee, Chonghan Lee, Mary Beth Rosson, John M. Carroll, Vijaykrishnan Narayanan
AIGuide: An Augmented Reality Hand Guidance Application for People with Visual Impairments. ASSETS (2020)
Akshay Krishna Ramanathan, Gurpreet S. Kalsi, Srivatsa Srinivasa, Tarun Makesh Chandran, Kamlesh R. Pillai, Om Ji Omer, Vijaykrishnan Narayanan, Sreenivas Subramoney
Look-Up Table based Energy Efficient Processing in Cache Support for Neural Network Acceleration. MICRO (2020)
Md Fahim Faysal Khan, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Vijaykrishnan Narayanan
Learning to Quantize Deep Neural Networks: A Competitive-Collaborative Approach. DAC (2020)
Sumitha George, Nicholas Jao, Akshay Krishna Ramanathan, Xueqing Li, Sumeet Kumar Gupta, John Sampson, Vijaykrishnan Narayanan
Integrated CAM-RAM Functionality using Ferroelectric FETs. ISQED (2020)
Hanlin Lu, Changchang Liu, Shiqiang Wang, Ting He, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris
Joint Coreset Construction and Quantization for Distributed Machine Learning. Networking (2020)
Nagadastagiri Challapalle, Sahithi Rampalli, Makesh Chandran, Gurpreet S. Kalsi, Sreenivas Subramoney, John Sampson, Vijaykrishnan Narayanan
PSB-RNN: A Processing-in-Memory Systolic Array Architecture using Block Circulant Matrices for Recurrent Neural Networks. DATE (2020)
Mingyen Lee, Wenjun Tang, Bowen Xue, Juejian Wu, Mingyuan Ma, Yu Wang, Yongpan Liu, Deliang Fan, Vijaykrishnan Narayanan, Huazhong Yang, Xueqing Li
FeFET-based low-power bitwise logic-in-memory with direct write-back and data-adaptive dynamic sensing interface. ISLPED (2020)
Nagadastagiri Challapalle, Makesh Chandran, Sahithi Rampalli, Vijaykrishnan Narayanan
X-VS: Crossbar-Based Processing-in-Memory Architecture for Video Summarization. ISVLSI (2020)
Hongtao Zhong, Mingyang Gu, Yu Wang, Yongpan Liu, Vijaykrishnan Narayanan, Huazhong Yang, Xueqing Li
One-Shot Refresh: A Low-Power Low-Congestion Approach for Dynamic Memories. IEEE Trans. Circuits Syst. (12) (2020)
Hanlin Lu, Ming-Ju Li, Ting He, Shiqiang Wang, Vijaykrishnan Narayanan, Kevin S. Chan
Robust Coreset Construction for Distributed Machine Learning. IEEE J. Sel. Areas Commun. 38 (10) (2020)
Eric Homan, Chonghan Lee, Jack Sampson, John P. Sustersic, Vijaykrishnan Narayanan
DoubtNet: Using Semantic Context to Enable Adaptive Inference for the IoT. ISVLSI (2020)
S. R. Swamy Saranam Chongala, Sumitha George, Hariram Thirucherai Govindarajan, Jagadish Kotra, Madhu Mutyam, John Sampson, Mahmut T. Kandemir, Vijaykrishnan Narayanan
Optimization of Intercache Traffic Entanglement in Tagless Caches With Tiling Opportunities. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (11) (2020)
Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris
Communication-efficient k-Means for Edge-based Machine Learning. ICDCS (2020)
Nagadastagiri Challapalle, Sahithi Rampalli, Linghao Song, Nandhini Chandramoorthy, Karthik Swaminathan, John Sampson, Yiran Chen, Vijaykrishnan Narayanan
GaaS-X: Graph Analytics Accelerator Supporting Sparse Data Representation using Crossbar Architectures. ISCA (2020)
Skyler Anderson, Nagadastagiri Challapalle, John Sampson, Vijaykrishnan Narayanan
Adaptive Neural Network Architectures for Power Aware Inference. IEEE Des. Test 37 (2) (2020)
Sonali Singh, Anup Sarma, Nicholas Jao, Ashutosh Pattnaik, Sen Lu, Kezhou Yang, Abhronil Sengupta, Vijaykrishnan Narayanan, Chita R. Das
NEBULA: A Neuromorphic Spin-Based Ultra-Low Power Architecture for SNNs and ANNs. ISCA (2020)
Keni Qiu, Mengying Zhao, Zhenge Jia, Jingtong Hu, Chun Jason Xue, Kaisheng Ma, Xueqing Li, Yongpan Liu, Vijaykrishnan Narayanan
Design Insights of Non-volatile Processors and Accelerators in Energy Harvesting Systems. ACM Great Lakes Symposium on VLSI (2020)
Keni Qiu, Nicholas Jao, Mengying Zhao, Cyan Subhra Mishra, Gulsum Gudukbay, Sethu Jose, Jack Sampson, Mahmut Taylan Kandemir, Vijaykrishnan Narayanan
ResiRCA: A Resilient Energy Harvesting ReRAM Crossbar-Based Accelerator for Intelligent Embedded Processors. HPCA (2020)
Md Fahim Faysal Khan, Nicholas Anton Jao, Changchi Shuai, Keni Qiu, Mehrdad Mahdavi, Vijaykrishnan Narayanan
Mixed Precision Quantization Scheme for Re-configurable ReRAM Crossbars Targeting Different Energy Harvesting Scenarios. IFIPIoT (2019)
Yuhua Liang, Zhangming Zhu, Xueqing Li, Sumeet Kumar Gupta, Suman Datta, Vijaykrishnan Narayanan
Utilization of Negative-Capacitance FETs to Boost Analog Circuit Performances. IEEE Trans. Very Large Scale Integr. Syst. 27 (12) (2019)
Philip W. Shin, Jack Sampson, Vijaykrishnan Narayanan
Context-Aware Collaborative Object Recognition For Distributed Multi Camera Time Series Data. SoICT (2019)
Hanlin Lu, Ming-Ju Li, Ting He, Shiqiang Wang, Vijaykrishnan Narayanan, Kevin S. Chan
Robust Coreset Construction for Distributed Machine Learning. GLOBECOM (2019)
Srivatsa Rangachar Srinivasa, Akshay Krishna Ramanathan, Xueqing Li, Wei-Hao Chen, Sumeet Kumar Gupta, Meng-Fan Chang, Swaroop Ghosh, Jack Sampson, Vijaykrishnan Narayanan
ROBIN: Monolithic-3D SRAM for Enhanced Robustness with In-Memory Computation Support. IEEE Trans. Circuits Syst. I Regul. Pap. (7) (2019)
Nicholas Jao, Akshay Krishna Ramanathan, Abhronil Sengupta, John Sampson, Vijaykrishnan Narayanan
Programmable Non-Volatile Memory Design Featuring Reconfigurable In-Memory Operations. ISCAS (2019)
Jinhang Choi, Zeinab Hakimi, John Sampson, Vijaykrishnan Narayanan
Byzantine-Tolerant Inference in Distributed Deep Intelligent System: Challenges and Opportunities. IEEE J. Emerg. Sel. Topics Circuits Syst. 9 (3) (2019)
Jinhang Choi, Zeinab Hakimi, Philip W. Shin, Jack Sampson, Vijaykrishnan Narayanan
Context-Aware Convolutional Neural Network over Distributed System in Collaborative Computing. DAC (2019)

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Vijaykrishnan Narayanan