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SIAM: Chiplet-based Scalable In-Memory Acceleration with Mesh for Deep Neural Networks



Gokul Krishnan , Sumit K. Mandal , Manvitha Pannala , Chaitali Chakrabarti , Jae-sun Seo , Umit Y. Ogras , Yu Cao


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Impact of On-Chip Interconnect on In-Memory Acceleration of Deep Neural Networks



Gokul Krishnan , Sumit K. Mandal , Chaitali Chakrabarti , Jae-sun Seo , Umit Y. Ogras , Yu Cao


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RA-BNN: Constructing Robust & Accurate Binary Neural Network to Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy



Adnan Siraj Rakin , Li Yang , Jingtao Li , Fan Yao , Chaitali Chakrabarti , Yu Cao , Jae-sun Seo , Deliang Fan


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Hybrid In-memory Computing Architecture for the Training of Deep Neural Networks



Vinay Joshi , Wangxin He , Jae-sun Seo , Bipin Rajendran

* Accepted at ISCAS 2021 for publication 

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Benchmarking TinyML Systems: Challenges and Direction



Colby R. Banbury , Vijay Janapa Reddi , Max Lam , William Fu , Amin Fazel , Jeremy Holleman , Xinyuan Huang , Robert Hurtado , David Kanter , Anton Lokhmotov , David Patterson , Danilo Pau , Jae-sun Seo , Jeff Sieracki , Urmish Thakker , Marian Verhelst , Poonam Yadav

* 5 pages, 1 figure, 2 tables 

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High-Throughput In-Memory Computing for Binary Deep Neural Networks with Monolithically Integrated RRAM and 90nm CMOS



Shihui Yin , Xiaoyu Sun , Shimeng Yu , Jae-sun Seo


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Automatic Compiler Based FPGA Accelerator for CNN Training



Shreyas Kolala Venkataramanaiah , Yufei Ma , Shihui Yin , Eriko Nurvithadhi , Aravind Dasu , Yu Cao , Jae-sun Seo

* 6 pages, 9 figures, paper accepted at FPL2019 conference 

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FixyNN: Efficient Hardware for Mobile Computer Vision via Transfer Learning



Paul N. Whatmough , Chuteng Zhou , Patrick Hansen , Shreyas Kolala Venkataramanaiah , Jae-sun Seo , Matthew Mattina

* 10 pages, 8 figures, paper accepted at SysML2019 conference 

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Large-Scale Neuromorphic Spiking Array Processors: A quest to mimic the brain



Chetan Singh Thakur , Jamal Molin , Gert Cauwenberghs , Giacomo Indiveri , Kundan Kumar , Ning Qiao , Johannes Schemmel , Runchun Wang , Elisabetta Chicca , Jennifer Olson Hasler , Jae-sun Seo , Shimeng Yu , Yu Cao , André van Schaik , Ralph Etienne-Cummings


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Minimizing Area and Energy of Deep Learning Hardware Design Using Collective Low Precision and Structured Compression



Shihui Yin , Gaurav Srivastava , Shreyas K. Venkataramanaiah , Chaitali Chakrabarti , Visar Berisha , Jae-sun Seo

* 2017 Asilomar Conference on Signals, Systems and Computers 

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