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QUIDAM: A Framework for Quantization-Aware DNN Accelerator and Model Co-Exploration


Jun 30, 2022
Ahmet Inci, Siri Garudanagiri Virupaksha, Aman Jain, Ting-Wu Chin, Venkata Vivek Thallam, Ruizhou Ding, Diana Marculescu

* 25 pages, 12 figures. arXiv admin note: substantial text overlap with arXiv:2205.13045, arXiv:2205.08648 

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Efficient Deep Learning Using Non-Volatile Memory Technology


Jun 27, 2022
Ahmet Inci, Mehmet Meric Isgenc, Diana Marculescu

* This article will appear as a book chapter in the book titled "Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing". arXiv admin note: substantial text overlap with arXiv:2012.04559 

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Play It Cool: Dynamic Shifting Prevents Thermal Throttling


Jun 22, 2022
Yang Zhou, Feng Liang, Ting-wu Chin, Diana Marculescu

* ICML DyNN Workshop 2022 Spotlight 

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SupMAE: Supervised Masked Autoencoders Are Efficient Vision Learners


May 28, 2022
Feng Liang, Yangguang Li, Diana Marculescu

* Technical report. Codes are available 

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QADAM: Quantization-Aware DNN Accelerator Modeling for Pareto-Optimality


May 20, 2022
Ahmet Inci, Siri Garudanagiri Virupaksha, Aman Jain, Venkata Vivek Thallam, Ruizhou Ding, Diana Marculescu

* Accepted paper at the Machine Learning for Computer Architecture and Systems (MLArchSys) Workshop in conjunction with ISCA 2021. This is an extended version of arXiv:2205.08648 

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QAPPA: Quantization-Aware Power, Performance, and Area Modeling of DNN Accelerators


May 17, 2022
Ahmet Inci, Siri Garudanagiri Virupaksha, Aman Jain, Venkata Vivek Thallam, Ruizhou Ding, Diana Marculescu

* Accepted paper at the On-Device Intelligence Workshop in conjunction with MLSys Conference 2021 

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Width Transfer: On the (In)variance of Width Optimization


Apr 24, 2021
Ting-Wu Chin, Diana Marculescu, Ari S. Morcos

* Full paper accepted at CVPR Workshops 2021; a 4-page abridged version is accepted at ICLR 2021 NAS Workshop 

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DeepNVM++: Cross-Layer Modeling and Optimization Framework of Non-Volatile Memories for Deep Learning


Dec 08, 2020
Ahmet Inci, Mehmet Meric Isgenc, Diana Marculescu

* 12 pages, 10 figures 

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The Architectural Implications of Distributed Reinforcement Learning on CPU-GPU Systems


Dec 08, 2020
Ahmet Inci, Evgeny Bolotin, Yaosheng Fu, Gal Dalal, Shie Mannor, David Nellans, Diana Marculescu

* To appear in the proceedings of the 6th Workshop on Energy Efficient Machine Learning and Cognitive Computing (EMC2) 2020 

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One Weight Bitwidth to Rule Them All


Aug 28, 2020
Ting-Wu Chin, Pierce I-Jen Chuang, Vikas Chandra, Diana Marculescu

* Accepted at ECCV 2020 Embedded Vision Workshop (Best paper) 

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