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ORCIDNarayanan Vijaykrishnan
Vijaykrishnan Narayanan
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- affiliation: Penn State, University Park, USA
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2020 – today
- 2023
[j130]Abhijeet Kumar
, Samuel Abrams, Abhishek Kumar, Vijaykrishnan Narayanan:
STAR: Efficient SpatioTemporal Modeling for Action Recognition. Circuits Syst. Signal Process. 42(2): 705-723 (2023)- [j129]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): 1605-1609 (2023) - [c364]Samuel Abrams, Vijaykrishnan Narayanan:
Extending Action Recognition in the Compressed Domain. VLSID 2023: 246-251 - [i20]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 abs/2302.07478 (2023) - [i19]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 abs/2305.01484 (2023) - [i18]Amit Puri, John Jose, Tamarapalli Venkatesh, Vijaykrishnan Narayanan:
DRackSim: Simulator for Rack-scale Memory Disaggregation. CoRR abs/2305.09977 (2023) - 2022
- [j128]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): 12:1-12:32 (2022) - [j127]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): 2509-2523 (2022) - [j126]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): 1770-1782 (2022) - [c363]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: 4575-4584 - [c362]Akshay Krishna Ramanathan, Sara Mahdizadeh-Shahri, Yi Xiao, Vijaykrishnan Narayanan:
Achieving Crash Consistency by Employing Persistent L1 Cache. DATE 2022: 1407-1412 - [c361]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: 1-2 - [c360]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: 91-96 - [c359]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: 3408-3412 - [c358]Nagadastagiri Challapalle, Vijaykrishnan Narayanan:
Performance Evaluation of Video Analytics Workloads on Emerging Processing-In-Memory Architectures. ISVLSI 2022: 158-163 - [c357]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: 4912-4913 - [c356]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: 50-60 - [c355]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: 565-581 - [c354]Md Fahim Faysal Khan, Anusha Devulapally, Siddharth Advani, Vijaykrishnan Narayanan:
Robust Multimodal Depth Estimation using Transformer based Generative Adversarial Networks. ACM Multimedia 2022: 3559-3568 - [c353]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: 395-396 - [i17]Cyan Subhra Mishra, Jack Sampson, Mahmut Taylan Kandemir, Vijaykrishnan Narayanan:
Seeker: Synergizing Mobile and Energy Harvesting Wearable Sensors for Human Activity Recognition. CoRR abs/2204.13106 (2022) - [i16]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 abs/2205.11088 (2022) - [i15]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 abs/2205.14729 (2022) - [i14]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 abs/2206.08087 (2022) - [i13]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 abs/2208.08600 (2022) - [i12]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 abs/2208.14678 (2022) - [i11]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 abs/2212.00089 (2022) - [i10]Shamiul Alam, Md. Shafayat Hossain, Kai Ni, Vijaykrishnan Narayanan, Ahmedullah Aziz:
Voltage-controlled Cryogenic Boolean Logic Family Based on Ferroelectric SQUID. CoRR abs/2212.08202 (2022) - 2021
- [j125]Lizy Kurian John, Vijaykrishnan Narayanan:
Microprocessor at 50: A Time to Celebrate and Energize for the Future. IEEE Micro 41(6): 10-12 (2021) - [j124]Lizy Kurian John, Vijaykrishnan Narayanan:
Microprocessor at 50: Industry Leaders Speak. IEEE Micro 41(6): 13-15 (2021) - [j123]Bagus Hanindhito, Karthik Swaminathan, Vijaykrishnan Narayanan, Lizy Kurian John:
Intel Wins in Four Decades, but AMD Catches Up. IEEE Micro 41(6): 168-171 (2021) - [j122]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): 78:1-78:23 (2021) - [j121]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): 1981-1993 (2021) - [j120]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): 2186-2196 (2021) - [c352]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: 113-123 - [c351]Zeinab Hakimi, Vijaykrishnan Narayanan:
Resolution-Aware Deep Multi-View Camera Systems. DATE 2021: 414-417 - [c350]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: 1414-1419 - [c349]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: 473-478 - [c348]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: 485-489 - [c347]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: 557-569 - [c346]Nagadastagiri Challapalle, Karthik Swaminathan, Nandhini Chandramoorthy, Vijaykrishnan Narayanan:
Crossbar based Processing in Memory Accelerator Architecture for Graph Convolutional Networks. ICCAD 2021: 1-9 - [c345]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: 1-6 - [c344]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: 1-6 - [c343]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: 547-552 - [c342]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: 4179-4180 - [c341]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: 5528-5536 - [c340]Vineetha Govindaraj, Sumitha George, Mahmut T. Kandemir, John Sampson, Vijaykrishnan Narayanan:
PowerPrep: A power management proposal for user-facing datacenter workloads. NAS 2021: 1-7 - [i9]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 abs/2102.04282 (2021) - [i8]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 abs/2107.07089 (2021) - [i7]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 abs/2107.07116 (2021) - [i6]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 abs/2109.07710 (2021) - [i5]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 abs/2109.09897 (2021) - [i4]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 abs/2110.03855 (2021) - 2020
- [j119]Skyler Anderson, Nagadastagiri Challapalle, John Sampson, Vijaykrishnan Narayanan:
Adaptive Neural Network Architectures for Power Aware Inference. IEEE Des. Test 37(2): 66-75 (2020) - [j118]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): 2400-2417 (2020) - [j117]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): 3881-3892 (2020) - [j116]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. 67-II(12): 3402-3406 (2020) - [j115]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): 1247-1261 (2020) - [c339]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: 2:1-2:13 - [c338]Md Fahim Faysal Khan, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Vijaykrishnan Narayanan:
Learning to Quantize Deep Neural Networks: A Competitive-Collaborative Approach. DAC 2020: 1-6 - [c337]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: 180-185 - [c336]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: 45-50 - [c335]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: 369-374 - [c334]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: 315-327 - [c333]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: 595-605 - [c332]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: 363-376 - [c331]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: 433-445 - [c330]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: 127-132 - [c329]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: 81-86 - [c328]Eric Homan, Chonghan Lee, Jack Sampson, John P. Sustersic, Vijaykrishnan Narayanan:
DoubtNet: Using Semantic Context to Enable Adaptive Inference for the IoT. ISVLSI 2020: 586-591 - [c327]Nagadastagiri Challapalle, Makesh Chandran, Sahithi Rampalli, Vijaykrishnan Narayanan:
X-VS: Crossbar-Based Processing-in-Memory Architecture for Video Summarization. ISVLSI 2020: 592-597 - [c326]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: 88-101 - [c325]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: 172-180
2010 – 2019
- 2019
- [j114]Xueqing Li, Juejian Wu, Kai Ni, Sumitha George, Kaisheng Ma, John Sampson, Sumeet Kumar Gupta, Yongpan Liu, Huazhong Yang, Suman Datta, Vijaykrishnan Narayanan:
Design of 2T/Cell and 3T/Cell Nonvolatile Memories with Emerging Ferroelectric FETs. IEEE Des. Test 36(3): 39-45 (2019) - [j113]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): 509-519 (2019) - [j112]Vijaykrishnan Narayanan:
Going Vertical: The Future of Electronics. IEEE Micro 39(6): 6-7 (2019) - [j111]Arijit Raychowdhury, Abhinav Parihar, Gus Henry Smith, Vijaykrishnan Narayanan, György Csaba, Matthew Jerry, Wolfgang Porod, Suman Datta:
Computing With Networks of Oscillatory Dynamical Systems. Proc. IEEE 107(1): 73-89 (2019) - [j110]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. 66-I(7): 2533-2545 (2019) - [j109]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): 2855-2860 (2019) - [c324]Jinhang Choi, Zeinab Hakimi, Philip W. Shin, Jack Sampson, Vijaykrishnan Narayanan:
Context-Aware Convolutional Neural Network over Distributed System in Collaborative Computing. DAC 2019: 211 - [c323]Hanlin Lu, Ming-Ju Li, Ting He, Shiqiang Wang, Vijaykrishnan Narayanan, Kevin S. Chan:
Robust Coreset Construction for Distributed Machine Learning. GLOBECOM 2019: 1-6 - [c322]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: 197-216 - [c321]Nicholas Jao, Akshay Krishna Ramanathan, Abhronil Sengupta, John Sampson, Vijaykrishnan Narayanan:
Programmable Non-Volatile Memory Design Featuring Reconfigurable In-Memory Operations. ISCAS 2019: 1-5 - [c320]Srivatsa Rangachar Srinivasa, Wei-Hao Chen, Yung-Ning Tu, Meng-Fan Chang, Jack Sampson, Vijaykrishnan Narayanan:
Monolithic-3D Integration Augmented Design Techniques for Computing in SRAMs. ISCAS 2019: 1-5 - [c319]Nicholas Jao, Srivatsa Srivinasa, Akshay Krishna Ramanathan, Minhwan Kim, John Sampson, Vijaykrishnan Narayanan:
Technology-Assisted Computing-In-Memory Design for Matrix Multiplication Workloads. NANOARCH 2019: 1-6 - [c318]Sandeep Krishna Thirumala, Arnab Raha, Vijaykrishnan Narayanan, Vijay Raghunathan, Sumeet Kumar Gupta:
Non-volatile Logic and Memory based on Reconfigurable Ferroelectric Transistors. NANOARCH 2019: 1-6 - [c317]Philip W. Shin, Jack Sampson, Vijaykrishnan Narayanan:
Context-Aware Collaborative Object Recognition For Distributed Multi Camera Time Series Data. SoICT 2019: 154-161 - 2018
- [j108]Neel Gala, Sarada Krithivasan, Wei-Yu Tsai, Xueqing Li, Vijaykrishnan Narayanan, V. Kamakoti:
An Accuracy Tunable Non-Boolean Co-Processor Using Coupled Nano-Oscillators. ACM J. Emerg. Technol. Comput. Syst. 14(1): 1:1-1:28 (2018) - [j107]Kaisheng Ma, Jinyang Li, Xueqing Li, Yongpan Liu, Yuan Xie, Mahmut T. Kandemir, Jack Sampson, Vijaykrishnan Narayanan:
IAA: Incidental Approximate Architectures for Extremely Energy-Constrained Energy Harvesting Scenarios using IoT Nonvolatile Processors. IEEE Micro 38(4): 11-19 (2018) - [j106]Srivatsa Rangachar Srinivasa, Xueqing Li, Meng-Fan Chang, John Sampson, Sumeet Kumar Gupta, Vijaykrishnan Narayanan:
Compact 3-D-SRAM Memory With Concurrent Row and Column Data Access Capability Using Sequential Monolithic 3-D Integration. IEEE Trans. Very Large Scale Integr. Syst. 26(4): 671-683 (2018) - [j105]Sumitha George, Xueqing Li, Minli Julie Liao, Kaisheng Ma, Srivatsa Rangachar Srinivasa, Karthik Mohan, Ahmedullah Aziz, John Sampson, Sumeet Kumar Gupta, Vijaykrishnan Narayanan:
Symmetric 2-D-Memory Access to Multidimensional Data. IEEE Trans. Very Large Scale Integr. Syst. 26(6): 1040-1050 (2018) - [c316]Kaisheng Ma, Xueqing Li, Mahmut Taylan Kandemir, Jack Sampson, Vijaykrishnan Narayanan, Jinyang Li, Tongda Wu, Zhibo Wang, Yongpan Liu, Yuan Xie:
NEOFog: Nonvolatility-Exploiting Optimizations for Fog Computing. ASPLOS 2018: 782-796 - [c315]Shubham Rai, Srivatsa Rangachar Srinivasa, Patsy Cadareanu, Xunzhao Yin, Xiaobo Sharon Hu, Pierre-Emmanuel Gaillardon, Vijaykrishnan Narayanan, Akash Kumar:
Emerging reconfigurable nanotechnologies: can they support future electronics? ICCAD 2018: 13 - [c314]Jinhang Choi, Jack Sampson, Vijaykrishnan Narayanan:
Heuristic Approximation of Early-Stage CNN Data Representation for Vision Intelligence Systems. ICCD 2018: 218-225 - [c313]Peter A. Zientara, Jinhang Choi, Jack Sampson, Vijaykrishnan Narayanan:
Drones as collaborative sensors for image recognition. ICCE 2018: 1-4 - [c312]Jinhang Choi, Kevin M. Irick, Justin Hardin, Weichao Qiu, Alan L. Yuille, Jack Sampson, Vijaykrishnan Narayanan:
Stochastic Functional Verification of DNN Design through Progressive Virtual Dataset Generation. ISCAS 2018: 1-5 - [c311]Sandeep Krishna Thirumala, Arnab Raha, Hrishikesh Jayakumar, Kaisheng Ma, Narayanan Vijaykrishnan, Vijay Raghunathan, Sumeet Kumar Gupta:
Dual Mode Ferroelectric Transistor based Non-Volatile Flip-Flops for Intermittently-Powered Systems. ISLPED 2018: 31:1-31:6 - [c310]Srivatsa Rangachar Srinivasa, Akshay Krishna Ramanathan, Xueqing Li, Wei-Hao Chen, Fu-Kuo Hsueh, Chih-Chao Yang, Chang-Hong Shen, Jia-Min Shieh, Sumeet Kumar Gupta, Meng-Fan Marvin Chang, Swaroop Ghosh, Jack Sampson, Vijaykrishnan Narayanan:
A Monolithic-3D SRAM Design with Enhanced Robustness and In-Memory Computation Support. ISLPED 2018: 34:1-34:6 - [c309]Jinhang Choi, Srivatsa Rangachar Srinivasa, Yasuki Tanabe, Jack Sampson, Vijaykrishnan Narayanan:
A Power-Efficient Hybrid Architecture Design for Image Recognition Using CNNs. ISVLSI 2018: 22-27 - [c308]Nicholas Jao, Akshay Krishna Ramanathan, Srivatsa Rangachar Srinivasa, Sumitha George, John Sampson, Vijaykrishnan Narayanan:
Harnessing Emerging Technology for Compute-in-Memory Support. ISVLSI 2018: 447-452 - [c307]Sumitha George, Minli Julie Liao, Huaipan Jiang, Jagadish B. Kotra, Mahmut T. Kandemir, Jack Sampson, Vijaykrishnan Narayanan:
MDACache: Caching for Multi-Dimensional-Access Memories. MICRO 2018: 841-854 - [c306]Jake Eden, Thomas Kawchak, Vijaykrishnan Narayanan:
Indoor Navigation using Text Extraction. SiPS 2018: 112-117 - [c305]Peter A. Zientara, Jack Sampson, Vijaykrishnan Narayanan:
Noise Aware Power Adaptive Partitioned Deep Networks for Mobile Visual Assist Platforms. SoCC 2018: 186-191 - 2017
- [j104]Siddharth Advani, Peter A. Zientara, Nikhil Shukla, Ikenna Okafor, Kevin M. Irick, Jack Sampson, Suman Datta, Vijaykrishnan Narayanan:
A Multitask Grocery Assist System for the Visually Impaired: Smart glasses, gloves, and shopping carts provide auditory and tactile feedback. IEEE Consumer Electron. Mag. 6(1): 73-81 (2017) - [j103]