PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep Learning Models on Edge Devices.

Ramon Matas Navarro

Yuji Chai Devashree Tripathy Chuteng Zhou Dibakar Gope Igor Fedorov Ramon Matas Navarro David Brooks 0001 Gu-Yeon Wei Paul N. Whatmough PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep Learning Models on Edge Devices. 2023 abs/2301.10999 CoRR https://doi.org/10.48550/arXiv.2301.10999 db/journals/corr/corr2301.html#abs-2301-10999

Kartikeya Bhardwaj Milos Milosavljevic Liam O'Neil Dibakar Gope Ramon Matas Navarro Alex Chalfin Naveen Suda Lingchuan Meng Danny Loh Collapsible Linear Blocks for Super-Efficient Super Resolution. 2022 MLSys https://proceedings.mlsys.org/paper_files/paper/2022/hash/3134f61af2136e249b0d8f190cbdc508-Abstract.html conf/mlsys/2022 db/conf/mlsys/mlsys2022.html#BhardwajMOGNCSM22 Igor Fedorov Ramon Matas Navarro Hokchhay Tann Chuteng Zhou Matthew Mattina Paul N. Whatmough UDC: Unified DNAS for Compressible TinyML Models for Neural Processing Units. 2022 conf/nips/2022 NeurIPS http://papers.nips.cc/paper_files/paper/2022/hash/753d9584b57ba01a10482f1ea7734a89-Abstract-Conference.html db/conf/nips/neurips2022.html#FedorovNTZMW22

Igor Fedorov Ramon Matas Navarro Hokchhay Tann Chuteng Zhou Matthew Mattina Paul N. Whatmough UDC: Unified DNAS for Compressible TinyML Models. 2022 abs/2201.05842 CoRR https://arxiv.org/abs/2201.05842 db/journals/corr/corr2201.html#abs-2201-05842

Durmus Alp Emre Acar Yue Zhao 0041 Ramon Matas Navarro Matthew Mattina Paul N. Whatmough Venkatesh Saligrama Federated Learning Based on Dynamic Regularization. 2021 ICLR https://openreview.net/forum?id=B7v4QMR6Z9w conf/iclr/2021 db/conf/iclr/iclr2021.html#AcarZNMWS21 Durmus Alp Emre Acar Yue Zhao 0041 Ruizhao Zhu Ramon Matas Navarro Matthew Mattina Paul N. Whatmough Venkatesh Saligrama Debiasing Model Updates for Improving Personalized Federated Training. 21-31 2021 ICML http://proceedings.mlr.press/v139/acar21a.html conf/icml/2021 db/conf/icml/icml2021.html#AcarZZNMWS21 Colby R. Banbury Chuteng Zhou Igor Fedorov Ramon Matas Navarro Urmish Thakker Dibakar Gope Vijay Janapa Reddi Matthew Mattina Paul N. Whatmough MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers. 2021 MLSys https://proceedings.mlsys.org/paper_files/paper/2021/hash/c4d41d9619462c534b7b61d1f772385e-Abstract.html conf/mlsys/2021 db/conf/mlsys/mlsys2021.html#BanburyZFNTGRMW21

Kartikeya Bhardwaj Milos Milosavljevic Alex Chalfin Naveen Suda Liam O'Neil Dibakar Gope Lingchuan Meng Ramon Matas Navarro Danny Loh Collapsible Linear Blocks for Super-Efficient Super Resolution. 2021 abs/2103.09404 CoRR https://arxiv.org/abs/2103.09404 db/journals/corr/corr2103.html#abs-2103-09404

Durmus Alp Emre Acar Yue Zhao 0041 Ramon Matas Navarro Matthew Mattina Paul N. Whatmough Venkatesh Saligrama Federated Learning Based on Dynamic Regularization. 2021 abs/2111.04263 CoRR https://arxiv.org/abs/2111.04263 db/journals/corr/corr2111.html#abs-2111-04263

Colby R. Banbury Chuteng Zhou Igor Fedorov Ramon Matas Navarro Urmish Thakker Dibakar Gope Vijay Janapa Reddi Matthew Mattina Paul N. Whatmough MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers. 2020 abs/2010.11267 CoRR https://arxiv.org/abs/2010.11267 db/journals/corr/corr2010.html#abs-2010-11267

Durmus Alp Emre Acar Colby R. Banbury Kartikeya Bhardwaj David Brooks 0001 Yuji Chai Alex Chalfin Igor Fedorov Dibakar Gope Danny Loh Matthew Mattina Lingchuan Meng Milos Milosavljevic Liam O'Neil Vijay Janapa Reddi Venkatesh Saligrama Naveen Suda Hokchhay Tann Urmish Thakker Devashree Tripathy Gu-Yeon Wei Paul N. Whatmough Yue Zhao 0041 Chuteng Zhou Ruizhao Zhu