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Journal Articles
- 2024
[j10]Armin Darjani
, Nima Kavand, Shubham Rai, Akash Kumar:
Thwarting GNN-Based Attacks Against Logic Locking. IEEE Trans. Inf. Forensics Secur. 19: 7200-7215 (2024)- 2023
- [j9]Yuhao Liu, Shubham Rai, Salim Ullah, Akash Kumar:
High-Flexibility Designs of Quantized Runtime Reconfigurable Multi-Precision Multipliers. IEEE Embed. Syst. Lett. 15(4): 194-197 (2023) - [j8]Shubham Rai, Alessandro Tempia Calvino, Heinz Riener, Giovanni De Micheli, Akash Kumar:
Utilizing XMG-Based Synthesis to Preserve Self-Duality for RFET-Based Circuits. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(3): 914-927 (2023) - [j7]Nima Kavand, Armin Darjani, Shubham Rai, Akash Kumar:
Design of Energy-Efficient RFET-Based Exact and Approximate 4:2 Compressors and Multipliers. IEEE Trans. Circuits Syst. II Express Briefs 70(9): 3644-3648 (2023) - 2022
- [j6]Aditya Lohana, Ansh Rupani, Shubham Rai, Akash Kumar:
Efficient Privacy-Aware Federated Learning by Elimination of Downstream Redundancy. IEEE Des. Test 39(3): 73-81 (2022) - [j5]Shubham Rai, Satwik Patnaik, Ansh Rupani, Johann Knechtel, Ozgur Sinanoglu, Akash Kumar:
Security Promises and Vulnerabilities in Emerging Reconfigurable Nanotechnology-Based Circuits. IEEE Trans. Emerg. Top. Comput. 10(2): 763-778 (2022) - 2021
- [j4]Shubham Rai, Pallab Nath, Ansh Rupani, Santosh Kumar Vishvakarma, Akash Kumar:
A Survey of FPGA Logic Cell Designs in the Light of Emerging Technologies. IEEE Access 9: 91564-91574 (2021) - [j3]Gopal Raut, Shubham Rai, Santosh Kumar Vishvakarma, Akash Kumar:
RECON: Resource-Efficient CORDIC-Based Neuron Architecture. IEEE Open J. Circuits Syst. 2: 170-181 (2021) - [j2]Gopal Raut, Shubham Rai, Santosh Kumar Vishvakarma, Akash Kumar:
Correction to "RECON: Resource-Efficient CORDIC-Based Neuron Architecture". IEEE Open J. Circuits Syst. 2: 292 (2021) - 2019
- [j1]Shubham Rai, Jens Trommer, Michael Raitza, Thomas Mikolajick, Walter M. Weber, Akash Kumar:
Designing Efficient Circuits Based on Runtime-Reconfigurable Field-Effect Transistors. IEEE Trans. Very Large Scale Integr. Syst. 27(3): 560-572 (2019)
Conference and Workshop Papers
- 2024
- [c29]Yannick Braatz, Taha Soliman, Shubham Rai, Dennis Sebastian Rieber, Oliver Bringmann:
CoNAX: Towards Comprehensive Co-Design Neural Architecture Search Using HW Abstractions. ASAP 2024: 8-16 - 2023
- [c28]Armin Darjani, Nima Kavand, Shubham Rai, Akash Kumar:
Discerning Limitations of GNN-based Attacks on Logic Locking. DAC 2023: 1-6 - [c27]Jens Trommer, Niladri Bhattacharjee, Thomas Mikolajick, Sebastian Huhn, Marcel Merten, Mohammed E. Djeridane, Muhammad Hassan, Rolf Drechsler, Shubham Rai, Nima Kavand, Armin Darjani, Akash Kumar, V. Sessi, M. Drescher, S. Kolodinski, M. Wiatr:
Design Enablement Flow for Circuits with Inherent Obfuscation based on Reconfigurable Transistors. DATE 2023: 1-6 - [c26]Yuhao Liu, Shubham Rai, Salim Ullah, Akash Kumar:
NetPU-M: a Generic Reconfigurable Neural Network Accelerator Architecture for MLPs. IPDPS Workshops 2023: 85-92 - [c25]Raghul Saravanan, Sathwika Bavikadi, Shubham Rai, Akash Kumar, Sai Manoj Pudukotai Dinakarrao:
Reconfigurable FET Approximate Computing-based Accelerator for Deep Learning Applications. ISCAS 2023: 1-5 - [c24]Steffen Märcker, Michael Raitza, Shubham Rai, Giulio Galderisi, Thomas Mikolajick, Jens Trommer, Akash Kumar:
Formal Analysis of Camouflaged Reconfigurable Circuits. NEWCAS 2023: 1-5 - 2022
- [c23]Alessandro Tempia Calvino, Heinz Riener, Shubham Rai, Akash Kumar, Giovanni De Micheli:
A Versatile Mapping Approach for Technology Mapping and Graph Optimization. ASP-DAC 2022: 410-416 - [c22]Nishant Gupta, Mohil Sandip Desai, Mark Wijtvliet, Shubham Rai, Akash Kumar:
DELTA: DEsigning a stealthy trigger mechanism for analog hardware trojans and its detection analysis. DAC 2022: 787-792 - [c21]Michael Raitza, Steffen Märcker, Shubham Rai, Akash Kumar:
Exploring Standard-Cell Designs for Reconfigurable Nanotechnologies: A Formal Approach. DATE 2022: 23-28 - [c20]Martin Thümmler, Shubham Rai, Akash Kumar:
Improving Technology Mapping for And-Inverter-Cones. DATE 2022: 274-279 - [c19]Yuhao Liu, Shubham Rai, Salim Ullah, Akash Kumar:
NetPU: Prototyping a Generic Reconfigurable Neural Network Accelerator Architecture. FPT 2022: 1 - [c18]Armin Darjani, Nima Kavand, Shubham Rai, Mark Wijtvliet, Akash Kumar:
ENTANGLE: An Enhanced Logic-locking Technique for Thwarting SAT and Structural Attacks. ACM Great Lakes Symposium on VLSI 2022: 147-151 - [c17]Nima Kavand, Armin Darjani, Shubham Rai, Akash Kumar:
Securing Hardware through Reconfigurable Nano-Structures. ICCAD 2022: 130:1-130:7 - [c16]Nikhil Rangarajan, Satwik Patnaik, Mohammed Nabeel, Mohammed Ashraf, Shubham Rai, Gopal Raut, Heba Abunahla, Baker Mohammad, Santosh Kumar Vishvakarma, Akash Kumar, Johann Knechtel, Ozgur Sinanoglu:
SCRAMBLE: A Secure and Configurable, Memristor-Based Neuromorphic Hardware Leveraging 3D Architecture. ISVLSI 2022: 308-313 - 2021
- [c15]Shubham Rai, Heinz Riener, Giovanni De Micheli, Akash Kumar:
Preserving Self-Duality During Logic Synthesis for Emerging Reconfigurable Nanotechnologies. DATE 2021: 354-359 - [c14]Shubham Rai, Walter Lau Neto, Yukio Miyasaka, Xinpei Zhang, Mingfei Yu, Qingyang Yi, Masahiro Fujita, Guilherme B. Manske, Matheus F. Pontes, Leomar S. da Rosa, Marilton S. de Aguiar, Paulo F. Butzen, Po-Chun Chien, Yu-Shan Huang, Hoa-Ren Wang, Jie-Hong R. Jiang, Jiaqi Gu, Zheng Zhao, Zixuan Jiang, David Z. Pan, Brunno A. Abreu, Isac de Souza Campos, Augusto Andre Souza Berndt, Cristina Meinhardt, Jônata Tyska Carvalho, Mateus Grellert, Sergio Bampi, Aditya Lohana, Akash Kumar, Wei Zeng, Azadeh Davoodi, Rasit Onur Topaloglu, Yuan Zhou, Jordan Dotzel, Yichi Zhang, Hanyu Wang, Zhiru Zhang, Valerio Tenace, Pierre-Emmanuel Gaillardon, Alan Mishchenko, Satrajit Chatterjee:
Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization. DATE 2021: 1026-1031 - [c13]Shubham Rai, Siddharth Garg, Christian Pilato, Vladimir Herdt, Elmira Moussavi, Dominik Sisejkovic, Ramesh Karri, Rolf Drechsler, Farhad Merchant, Akash Kumar:
Vertical IP Protection of the Next-Generation Devices: Quo Vadis? DATE 2021: 1905-1914 - [c12]Shubham Rai, Mengyun Liu, Anteneh Gebregiorgis, Debjyoti Bhattacharjee, Krishnendu Chakrabarty, Said Hamdioui, Anupam Chattopadhyay, Jens Trommer, Akash Kumar:
Perspectives on Emerging Computation-in-Memory Paradigms. DATE 2021: 1925-1934 - [c11]Andreas Krinke, Shubham Rai, Akash Kumar, Jens Lienig:
Exploring Physical Synthesis for Circuits based on Emerging Reconfigurable Nanotechnologies. ICCAD 2021: 1-9 - [c10]Yasasvi V. Peruvemba, Shubham Rai, Kapil Ahuja, Akash Kumar:
RL-Guided Runtime-Constrained Heuristic Exploration for Logic Synthesis. ICCAD 2021: 1-9 - [c9]Abhiroop Bhattacharjee, Shubham Rai, Ansh Rupani, Michael Raitza, Akash Kumar:
Metastability with Emerging Reconfigurable Transistors: Exploiting Ambipolarity for Throughput. VLSI-SoC 2021: 1-6 - [c8]Shubham Rai, Nishant Gupta, Abhiroop Bhattacharjee, Ansh Rupani, Michael Raitza, Jens Trommer, Thomas Mikolajick, Akash Kumar:
END-TRUE: Emerging Nanotechnology-Based Double-Throughput True Random Number Generator. VLSI-SoC (Selected Papers) 2021: 175-203 - 2020
- [c7]Shubham Rai, Michael Raitza, Siva Satyendra Sahoo, Akash Kumar:
DiSCERN: Distilling Standard-Cells for Emerging Reconfigurable Nanotechnologies. DATE 2020: 674-677 - [c6]Gopal Raut, Shubham Rai, Santosh Kumar Vishvakarma, Akash Kumar:
A CORDIC Based Configurable Activation Function for ANN Applications. ISVLSI 2020: 78-83 - 2019
- [c5]Ansh Rupani, Shubham Rai, Akash Kumar:
Exploiting Emerging Reconfigurable Technologies for Secure Devices. DSD 2019: 668-671 - [c4]Shubham Rai, Ansh Rupani, Pallab Nath, Akash Kumar:
Hardware Watermarking Using Polymorphic Inverter Designs Based On Reconfigurable Nanotechnologies. ISVLSI 2019: 663-669 - 2018
- [c3]Shubham Rai, Ansh Rupani, Dennis Walter, Michael Raitza, Andre Heinzig, Tim Baldauf, Jens Trommer, Christian Mayr, Walter M. Weber, Akash Kumar:
A physical synthesis flow for early technology evaluation of silicon nanowire based reconfigurable FETs. DATE 2018: 605-608 - [c2]Shubham Rai, Michael Raitza, Akash Kumar:
Technology mapping flow for emerging reconfigurable silicon nanowire transistors. DATE 2018: 767-772 - [c1]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
Informal and Other Publications
- 2020
- [i1]Shubham Rai, Walter Lau Neto, Yukio Miyasaka, Xinpei Zhang, Mingfei Yu, Qingyang Yi, Masahiro Fujita, Guilherme B. Manske, Matheus F. Pontes, Leomar S. da Rosa Jr., Marilton S. de Aguiar, Paulo F. Butzen, Po-Chun Chien, Yu-Shan Huang, Hoa-Ren Wang, Jie-Hong R. Jiang, Jiaqi Gu, Zheng Zhao, Zixuan Jiang, David Z. Pan, Brunno A. Abreu, Isac de Souza Campos, Augusto Andre Souza Berndt, Cristina Meinhardt, Jônata Tyska Carvalho, Mateus Grellert, Sergio Bampi, Aditya Lohana, Akash Kumar, Wei Zeng, Azadeh Davoodi, Rasit Onur Topaloglu, Yuan Zhou, Jordan Dotzel, Yichi Zhang, Hanyu Wang, Zhiru Zhang, Valerio Tenace, Pierre-Emmanuel Gaillardon, Alan Mishchenko, Satrajit Chatterjee:
Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization. CoRR abs/2012.02530 (2020)
Coauthor Index
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