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2020 – today
- 2023
[b1]Arko Dutt:
Modelling, exploration and optimization of hardware accelerators for deep learning applications. Nanyang Technological University, Singapore, 2023- 2022
- [c7]Arko Dutt, Suprojit Nandy, Mohamed M. Sabry:
Pearl: Towards Optimization of DNN-accelerators Via Closed-Form Analytical Representation. ASP-DAC 2022: 714-719 - 2020
- [c6]Abdallah M. Felfel, Kamalika Datta, Arko Dutt, Hasita Veluri
, Ahmed Zaky, Aaron Voon-Yew Thean, Mohamed M. Sabry Aly:
Quantifying the Benefits of Monolithic 3D Computing Systems Enabled by TFT and RRAM. DATE 2020: 43-48 - [c5]Kamalika Datta, Arko Dutt, Ahmed Zaky, Umesh Chand, Devendra Singh, Yida Li, Jackson Chun-Yang Huang, Aaron Thean, Mohamed M. Sabry Aly:
Fledge: Flexible Edge Platforms Enabled by In-memory Computing. DATE 2020: 1181-1186
2010 – 2019
- 2019
- [c4]Arko Dutt, Govind Narasimman, Lin Jie, Vijay Ramaseshan Chandrasekhar, Mohamed M. Sabry:
EAST-DNN: Expediting architectural SimulaTions using deep neural networks: work-in-progress. CODES+ISSS 2019: 4:1-4:2 - 2018
- [c3]Debjyoti Bhattacharjee, Arko Dutt, Anupam Chattopadhyay:
MAMI: Majority and Multi-Input Logic on Memristive Crossbar Array. APCCAS 2018: 435-438 - [c2]Tarun Vatwani, Arko Dutt, Debjyoti Bhattacharjee, Anupam Chattopadhyay:
Floating Point Multiplication Mapping on ReRAM Based In-memory Computing Architecture. VLSID 2018: 439-444 - 2016
- [c1]Arko Dutt, Pranab Roy, Hafizur Rahaman:
TSV-aware 3-D IC structural planning with irregular die-size. APCCAS 2016: 713-716
Coauthor Index
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