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ORCIDVivek Parmar
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2020 – today
- 2023
[j5]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:
Demonstration of Differential Mode Ferroelectric Field-Effect Transistor Array-Based in-Memory Computing Macro for Realizing Multiprecision Mixed-Signal Artificial Intelligence Accelerator. Adv. Intell. Syst. 5(6) (2023)- [j4]Vivek Parmar, Syed Shakib Sarwar, Ziyun Li, Hsien-Hsin S. Lee, Barbara De Salvo, Manan Suri:
Exploring Memory-Oriented Design Optimization of Edge AI Hardware for Extended Reality Applications. IEEE Micro 43(6): 40-49 (2023) - [j3]Sandeep Kaur Kingra, Vivek Parmar, Deepak Verma, Alessandro Bricalli, Giuseppe Piccolboni, Gabriel Molas, Amir Regev, Manan Suri:
Fully Binarized, Parallel, RRAM-Based Computing Primitive for In-Memory Similarity Search. IEEE Trans. Circuits Syst. II Express Briefs 70(1): 46-50 (2023) - [c15]Vivek Parmar, Manan Suri:
Binarized-Distance Computation for performing low-power Face Recognition with optimized storage. AIMLSystems 2023: 45:1-45:5 - [c14]Vivek Parmar, Sandeep Kaur Kingra, Syed Shakib Sarwar, Ziyun Li, Barbara De Salvo, Manan Suri:
Fully-Binarized Distance Computation based On-device Few-Shot Learning for XR applications. CVPR Workshops 2023: 4502-4508 - [c13]Vivek Parmar, Sandeep Kaur Kingra, Deepak Verma, Digamber Pandey, Giuseppe Piccolboni, Alessandro Bricalli, Amir Regev, Gabriel Pares, Laurent Grenouillet, Jean-François Nodin, Manan Suri:
Demonstration of SMT-reflow Immune and SCA-resilient PUF on 28nm RRAM device array. IMW 2023: 1-4 - 2022
- [i9]Sandeep Kaur Kingra, Vivek Parmar, Manoj Kumar Sharma, Manan Suri:
Time-multiplexed In-memory computation scheme for mapping Quantized Neural Networks on hybrid CMOS-OxRAM building blocks. CoRR abs/2206.00250 (2022) - [i8]Vivek Parmar, Syed Shakib Sarwar, Ziyun Li, Hsien-Hsin S. Lee, Barbara De Salvo, Manan Suri:
Memory-Oriented Design-Space Exploration of Edge-AI Hardware for XR Applications. CoRR abs/2206.06780 (2022) - [i7]Sandeep Kaur Kingra, Vivek Parmar, Deepak Verma, Alessandro Bricalli, Giuseppe Piccolboni, Gabriel Molas, Amir Regev, Manan Suri:
Fully-Binarized, Parallel, RRAM-based Computing Primitive for In-Memory Similarity Search. CoRR abs/2208.02651 (2022) - [i6]Khushal Sethi, Vivek Parmar, Manan Suri:
Low-Power Hardware-Based Deep-Learning Diagnostics Support Case Study. CoRR abs/2209.01507 (2022) - 2021
- [j2]Vivek Parmar, Manan Suri:
A Hybrid CMOS-Memristive Approach to Designing Deep Generative Models. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2790-2796 (2021) - [c12]Vivek Parmar, Manan Suri, Kazutaka Yamane, Tae Young Lee, Nyuk Leong Chung, Vinayak Bharat Naik:
MRAM-based BER resilient Quantized edge-AI Networks for Harsh Industrial Conditions. AICAS 2021: 1-4 - 2020
- [c11]Sandeep Kaur Kingra, Vivek Parmar, Shubham Negi, Sufyan Khan, Boris Hudec, Tuo-Hung Hou, Manan Suri:
Methodology for Realizing VMM with Binary RRAM Arrays: Experimental Demonstration of Binarized-ADALINE using OxRAM Crossbar. ISCAS 2020: 1-5 - [i5]Sandeep Kaur Kingra, Vivek Parmar, Shubham Negi, Sufyan Khan, Boris Hudec, Tuo-Hung Hou, Manan Suri:
Methodology for Realizing VMM with Binary RRAM Arrays: Experimental Demonstration of Binarized-ADALINE Using OxRAM Crossbar. CoRR abs/2006.05657 (2020) - [i4]Vivek Parmar, Narayani Bhatia, Shubham Negi, Manan Suri:
Exploration of Optimized Semantic Segmentation Architectures for edge-Deployment on Drones. CoRR abs/2007.02839 (2020)
2010 – 2019
- 2019
- [j1]Christopher H. Bennett, Vivek Parmar, Laurie E. Calvet, Jacques-Olivier Klein, Manan Suri, Matthew J. Marinella, Damien Querlioz:
Contrasting Advantages of Learning With Random Weights and Backpropagation in Non-Volatile Memory Neural Networks. IEEE Access 7: 73938-73953 (2019) - [c10]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:
NV-BNN: An Accurate Deep Convolutional Neural Network Based on Binary STT-MRAM for Adaptive AI Edge. DAC 2019: 30 - [c9]Vivek Parmar, Jung-Ho Ahn, Manan Suri:
Hyperspectral Image Classification for Remote Sensing Using Low-Power Neuromorphic Hardware. IJCNN 2019: 1-7 - [c8]Vivek Kamalkant Parmar, Swatilekha Majumdar, Preeti Ranjan Panda, Manan Suri:
Investigation of Unified Emerging-NVM SoC Architecture for IoT-WSN Applications. VLSID 2019: 281-286 - [c7]Manoj Kumar Sharma, Umesh Chandra Lohani, Vivek Parmar, Manan Suri:
Design of an Optimized CMOS ELM Accelerator. VLSID 2019: 443-447 - 2018
- [c6]Khushal Sethi, Vivek Parmar, Manan Suri:
Low-Power Hardware-Based Deep-Learning Diagnostics Support Case Study. BioCAS 2018: 1-4 - [c5]Vivek Parmar, Manan Suri:
Design Exploration of IoT centric Neural Inference Accelerators. ACM Great Lakes Symposium on VLSI 2018: 391-396 - [c4]Tinish Bhattacharya, Vivek Parmar, Manan Suri:
MASTISK: Simulation Framework For Design Exploration Of Neuromorphic Hardware. IJCNN 2018: 1-9 - [i3]Vivek Parmar, Manan Suri:
Design Exploration of Hybrid CMOS-OxRAM Deep Generative Architectures. CoRR abs/1801.02003 (2018) - [i2]Tinish Bhattacharya, Vivek Parmar, Manan Suri:
MASTISK. CoRR abs/1804.00912 (2018) - [i1]Sandeep Kaur Kingra, Vivek Parmar, Che-Chia Chang, Boris Hudec, Tuo-Hung Hou, Manan Suri:
SLIM: Simultaneous Logic-in-Memory Computing Exploiting Bilayer Analog OxRAM Devices. CoRR abs/1811.05772 (2018) - 2015
- [c3]Manan Suri, Vivek Parmar, Gilbert Sassine, Fabien Alibart:
OXRAM based ELM architecture for multi-class classification applications. IJCNN 2015: 1-8 - [c2]Manan Suri, Vivek Parmar, Ashwani Kumar, Damien Querlioz, Fabien Alibart:
Neuromorphic hybrid RRAM-CMOS RBM architecture. NVMTS 2015: 1-6 - [c1]Manan Suri, Vivek Parmar, Akshay Singla, Rishabh Malviya, Surag Nair:
Neuromorphic Hardware Accelerated Adaptive Authentication System. SSCI 2015: 1206-1213
Coauthor Index
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