Vivek Parmar

29 papers A* 1B 3C 1Misc 1Journal 15Unranked 8
YearRankTypeTitle / Venue / Authors
2024 J jnl
x-RAGE: eXtended Reality - Action & Gesture Events Dataset.
CoRR
Vivek Parmar, Dwijay Bane, Syed Shakib Sarwar, Kleber Stangherlin, Barbara De Salvo, Manan Suri
2023 — conf
Binarized-Distance Computation for performing low-power Face Recognition with optimized storage.
AIMLSystems
Vivek Parmar, Manan Suri
2023 J jnl
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.
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
2023 — conf
Demonstration of SMT-reflow Immune and SCA-resilient PUF on 28nm RRAM device array.
IMW
Vivek Parmar, Sandeep Kaur Kingra, Deepak Verma, Digamber Pandey, Giuseppe Piccolboni, Alessandro Bricalli, Amir Regev, Gabriel Pares, Laurent Grenouillet, Jean-François Nodin, Manan Suri
2023 J jnl
Exploring Memory-Oriented Design Optimization of Edge AI Hardware for Extended Reality Applications.
IEEE Micro
Vivek Parmar, Syed Shakib Sarwar, Ziyun Li, Hsien-Hsin S. Lee, Barbara De Salvo, Manan Suri
2023 J jnl
Fully Binarized, Parallel, RRAM-Based Computing Primitive for In-Memory Similarity Search.
IEEE Trans. Circuits Syst. II Express Briefs
Sandeep Kaur Kingra, Vivek Parmar, Deepak Verma, Alessandro Bricalli, Giuseppe Piccolboni, Gabriel Molas, Amir Regev, Manan Suri
2023 — conf
Fully-Binarized Distance Computation based On-device Few-Shot Learning for XR applications.
CVPR Workshops
Vivek Parmar, Sandeep Kaur Kingra, Syed Shakib Sarwar, Ziyun Li, Barbara De Salvo, Manan Suri
2022 J jnl
Fully-Binarized, Parallel, RRAM-based Computing Primitive for In-Memory Similarity Search.
CoRR
Sandeep Kaur Kingra, Vivek Parmar, Deepak Verma, Alessandro Bricalli, Giuseppe Piccolboni, Gabriel Molas, Amir Regev, Manan Suri
2022 J jnl
Low-Power Hardware-Based Deep-Learning Diagnostics Support Case Study.
CoRR
Khushal Sethi, Vivek Parmar, Manan Suri
2022 J jnl
Memory-Oriented Design-Space Exploration of Edge-AI Hardware for XR Applications.
CoRR
Vivek Parmar, Syed Shakib Sarwar, Ziyun Li, Hsien-Hsin S. Lee, Barbara De Salvo, Manan Suri
2022 J jnl
Time-multiplexed In-memory computation scheme for mapping Quantized Neural Networks on hybrid CMOS-OxRAM building blocks.
CoRR
Sandeep Kaur Kingra, Vivek Parmar, Manoj Kumar Sharma, Manan Suri
2021 J jnl
A Hybrid CMOS-Memristive Approach to Designing Deep Generative Models.
IEEE Trans. Neural Networks Learn. Syst.
Vivek Parmar, Manan Suri
2021 — conf
MRAM-based BER resilient Quantized edge-AI Networks for Harsh Industrial Conditions.
AICAS
Vivek Parmar, Manan Suri, Kazutaka Yamane, Tae Young Lee, Nyuk Leong Chung, Vinayak Bharat Naik
2020 J jnl
Exploration of Optimized Semantic Segmentation Architectures for edge-Deployment on Drones.
CoRR
Vivek Parmar, Narayani Bhatia, Shubham Negi, Manan Suri
2020 J jnl
Methodology for Realizing VMM with Binary RRAM Arrays: Experimental Demonstration of Binarized-ADALINE Using OxRAM Crossbar.
CoRR
Sandeep Kaur Kingra, Vivek Parmar, Shubham Negi, Sufyan Khan, Boris Hudec, Tuo-Hung Hou, Manan Suri
2020 C conf
Methodology for Realizing VMM with Binary RRAM Arrays: Experimental Demonstration of Binarized-ADALINE using OxRAM Crossbar.
ISCAS
Sandeep Kaur Kingra, Vivek Parmar, Shubham Negi, Sufyan Khan, Boris Hudec, Tuo-Hung Hou, Manan Suri
2019 J jnl
Contrasting Advantages of Learning With Random Weights and Backpropagation in Non-Volatile Memory Neural Networks.
IEEE Access
Christopher H. Bennett, Vivek Parmar, Laurie E. Calvet, Jacques-Olivier Klein, Manan Suri, Matthew J. Marinella, Damien Querlioz
2019 Misc conf
Design of an Optimized CMOS ELM Accelerator.
VLSID
Manoj Kumar Sharma, Umesh Chandra Lohani, Vivek Parmar, Manan Suri
2019 B conf
Hyperspectral Image Classification for Remote Sensing Using Low-Power Neuromorphic Hardware.
IJCNN
Vivek Parmar, Jung-Ho Ahn, Manan Suri
2019 A* conf
NV-BNN: An Accurate Deep Convolutional Neural Network Based on Binary STT-MRAM for Adaptive AI Edge.
DAC
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
2018 J jnl
Design Exploration of Hybrid CMOS-OxRAM Deep Generative Architectures.
CoRR
Vivek Parmar, Manan Suri
2018 — conf
Design Exploration of IoT centric Neural Inference Accelerators.
ACM Great Lakes Symposium on VLSI
Vivek Parmar, Manan Suri
2018 — conf
Low-Power Hardware-Based Deep-Learning Diagnostics Support Case Study.
BioCAS
Khushal Sethi, Vivek Parmar, Manan Suri
2018 J jnl
MASTISK.
CoRR
Tinish Bhattacharya, Vivek Parmar, Manan Suri
2018 B conf
MASTISK: Simulation Framework For Design Exploration Of Neuromorphic Hardware.
IJCNN
Tinish Bhattacharya, Vivek Parmar, Manan Suri
2018 J jnl
SLIM: Simultaneous Logic-in-Memory Computing Exploiting Bilayer Analog OxRAM Devices.
CoRR
Sandeep Kaur Kingra, Vivek Parmar, Che-Chia Chang, Boris Hudec, Tuo-Hung Hou, Manan Suri
2015 — conf
Neuromorphic Hardware Accelerated Adaptive Authentication System.
SSCI
Manan Suri, Vivek Parmar, Akshay Singla, Rishabh Malviya, Surag Nair
2015 — conf
Neuromorphic hybrid RRAM-CMOS RBM architecture.
NVMTS
Manan Suri, Vivek Parmar, Ashwani Kumar, Damien Querlioz, Fabien Alibart
2015 B conf
OXRAM based ELM architecture for multi-class classification applications.
IJCNN
Manan Suri, Vivek Parmar, Gilbert Sassine, Fabien Alibart