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Gu-Yeon Wei

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GPU-based Private Information Retrieval for On-Device Machine Learning Inference

Jan 27, 2023
Maximilian Lam, Jeff Johnson, Wenjie Xiong, Kiwan Maeng, Udit Gupta, Minsoo Rhu, Hsien-Hsin S. Lee, Vijay Janapa Reddi, Gu-Yeon Wei, David Brooks, Edward Suh

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

Jan 26, 2023
Yuji Chai, Devashree Tripathy, Chuteng Zhou, Dibakar Gope, Igor Fedorov, Ramon Matas, David Brooks, Gu-Yeon Wei, Paul Whatmough

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Architectural Implications of Embedding Dimension during GCN on CPU and GPU

Dec 01, 2022
Matthew Adiletta, David Brooks, Gu-Yeon Wei

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OMU: A Probabilistic 3D Occupancy Mapping Accelerator for Real-time OctoMap at the Edge

May 06, 2022
Tianyu Jia, En-Yu Yang, Yu-Shun Hsiao, Jonathan Cruz, David Brooks, Gu-Yeon Wei, Vijay Janapa Reddi

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Tabula: Efficiently Computing Nonlinear Activation Functions for Secure Neural Network Inference

Mar 05, 2022
Maximilian Lam, Michael Mitzenmacher, Vijay Janapa Reddi, Gu-Yeon Wei, David Brooks

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Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix

Jun 10, 2021
Maximilian Lam, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi, Michael Mitzenmacher

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MAVFI: An End-to-End Fault Analysis Framework with Anomaly Detection and Recovery for Micro Aerial Vehicles

May 27, 2021
Yu-Shun Hsiao, Zishen Wan, Tianyu Jia, Radhika Ghosal, Arijit Raychowdhury, David Brooks, Gu-Yeon Wei, Vijay Janapa Reddi

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RecPipe: Co-designing Models and Hardware to Jointly Optimize Recommendation Quality and Performance

May 22, 2021
Udit Gupta, Samuel Hsia, Jeff Zhang, Mark Wilkening, Javin Pombra, Hsien-Hsin S. Lee, Gu-Yeon Wei, Carole-Jean Wu, David Brooks

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