Vivek Parmar

According to our database, Vivek Parmar authored at least 26 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Demonstration of Differential Mode Ferroelectric Field-Effect Transistor Array-Based in-Memory Computing Macro for Realizing Multiprecision Mixed-Signal Artificial Intelligence Accelerator.

Vivek Parmar, Franz Müller, Jing-Hua Hsuen, Sandeep Kaur Kingra, Nellie Laleni, Yannick Raffel, Maximilian Lederer, Alptekin Vardar, Konrad Seidel, Taha Soliman, Tobias Kirchner, Tarek Ali, Stefan Dünkel, Sven Beyer, Tian-Li Wu, Sourav De, Manan Suri, Thomas Kämpfe

Adv. Intell. Syst., June, 2023

Fully Binarized, Parallel, RRAM-Based Computing Primitive for In-Memory Similarity Search.

Sandeep Kaur Kingra, Vivek Parmar, Deepak Verma, Alessandro Bricalli, Giuseppe Piccolboni, Gabriel Molas, Amir Regev, Manan Suri

IEEE Trans. Circuits Syst. II Express Briefs, 2023

Exploring Memory-Oriented Design Optimization of Edge AI Hardware for Extended Reality Applications.

Vivek Parmar, Syed Shakib Sarwar, Ziyun Li, Hsien-Hsin S. Lee, Barbara De Salvo, Manan Suri

IEEE Micro, 2023

Demonstration of SMT-reflow Immune and SCA-resilient PUF on 28nm RRAM device array.

Vivek Parmar, Sandeep Kaur Kingra, Deepak Verma, Digamber Pandey, Giuseppe Piccolboni, Alessandro Bricalli, Amir Regev, Gabriel Pares, Laurent Grenouillet, Jean-François Nodin, Manan Suri

Proceedings of the IEEE International Memory Workshop, 2023

Fully-Binarized Distance Computation based On-device Few-Shot Learning for XR applications.

Vivek Parmar, Sandeep Kaur Kingra, Syed Shakib Sarwar, Ziyun Li, Barbara De Salvo, Manan Suri

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Binarized-Distance Computation for performing low-power Face Recognition with optimized storage.

Vivek Parmar, Manan Suri

Proceedings of the Third International Conference on AI-ML Systems, 2023

2022

Memory-Oriented Design-Space Exploration of Edge-AI Hardware for XR Applications.

Vivek Parmar, Syed Shakib Sarwar, Ziyun Li, Hsien-Hsin S. Lee, Barbara De Salvo, Manan Suri

CoRR, 2022

Time-multiplexed In-memory computation scheme for mapping Quantized Neural Networks on hybrid CMOS-OxRAM building blocks.

Sandeep Kaur Kingra, Vivek Parmar, Manoj Kumar Sharma, Manan Suri

CoRR, 2022

2021

A Hybrid CMOS-Memristive Approach to Designing Deep Generative Models.

Vivek Parmar, Manan Suri

IEEE Trans. Neural Networks Learn. Syst., 2021

MRAM-based BER resilient Quantized edge-AI Networks for Harsh Industrial Conditions.

Vivek Parmar, Manan Suri, Kazutaka Yamane, Tae Young Lee, Nyuk Leong Chung, Vinayak Bharat Naik

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020

Exploration of Optimized Semantic Segmentation Architectures for edge-Deployment on Drones.

Vivek Parmar, Narayani Bhatia, Shubham Negi, Manan Suri

CoRR, 2020

Methodology for Realizing VMM with Binary RRAM Arrays: Experimental Demonstration of Binarized-ADALINE using OxRAM Crossbar.

Sandeep Kaur Kingra, Vivek Parmar, Shubham Negi, Sufyan Khan, Boris Hudec, Tuo-Hung Hou, Manan Suri

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

2019

Contrasting Advantages of Learning With Random Weights and Backpropagation in Non-Volatile Memory Neural Networks.

Christopher H. Bennett, Vivek Parmar, Laurie E. Calvet, Jacques-Olivier Klein, Manan Suri, Matthew J. Marinella, Damien Querlioz

IEEE Access, 2019

Design of an Optimized CMOS ELM Accelerator.

Manoj Kumar Sharma, Umesh Chandra Lohani, Vivek Parmar, Manan Suri

Proceedings of the 32nd International Conference on VLSI Design and 18th International Conference on Embedded Systems, 2019

Investigation of Unified Emerging-NVM SoC Architecture for IoT-WSN Applications.

Vivek Kamalkant Parmar, Swatilekha Majumdar, Preeti Ranjan Panda, Manan Suri

Proceedings of the 32nd International Conference on VLSI Design and 18th International Conference on Embedded Systems, 2019

Hyperspectral Image Classification for Remote Sensing Using Low-Power Neuromorphic Hardware.

Vivek Parmar, Jung-Ho Ahn, Manan Suri

Proceedings of the International Joint Conference on Neural Networks, 2019

NV-BNN: An Accurate Deep Convolutional Neural Network Based on Binary STT-MRAM for Adaptive AI Edge.

Chih-Cheng Chang, Ming-Hung Wu, Jia-Wei Lin, Chun-Hsien Li, Vivek Parmar, Heng-Yuan Lee, Jeng-Hua Wei, Shyh-Shyuan Sheu, Manan Suri, Tian-Sheuan Chang, Tuo-Hung Hou

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

2018

SLIM: Simultaneous Logic-in-Memory Computing Exploiting Bilayer Analog OxRAM Devices.

Sandeep Kaur Kingra, Vivek Parmar, Che-Chia Chang, Boris Hudec, Tuo-Hung Hou, Manan Suri

CoRR, 2018

MASTISK.

Tinish Bhattacharya, Vivek Parmar, Manan Suri

CoRR, 2018

Design Exploration of Hybrid CMOS-OxRAM Deep Generative Architectures.

Vivek Parmar, Manan Suri

CoRR, 2018

MASTISK: Simulation Framework For Design Exploration Of Neuromorphic Hardware.

Tinish Bhattacharya, Vivek Parmar, Manan Suri

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Design Exploration of IoT centric Neural Inference Accelerators.

Vivek Parmar, Manan Suri

Proceedings of the 2018 on Great Lakes Symposium on VLSI, 2018

Low-Power Hardware-Based Deep-Learning Diagnostics Support Case Study.

Khushal Sethi, Vivek Parmar, Manan Suri

Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018

2015

Neuromorphic Hardware Accelerated Adaptive Authentication System.

Manan Suri, Vivek Parmar, Akshay Singla, Rishabh Malviya, Surag Nair

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Neuromorphic hybrid RRAM-CMOS RBM architecture.

Manan Suri, Vivek Parmar, Ashwani Kumar, Damien Querlioz, Fabien Alibart

Proceedings of the 15th Non-Volatile Memory Technology Symposium, 2015

OXRAM based ELM architecture for multi-class classification applications.

Manan Suri, Vivek Parmar, Gilbert Sassine, Fabien Alibart

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015