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Centaur: A Chiplet-based, Hybrid Sparse-Dense Accelerator for Personalized Recommendations File

Hwang, Ranggi , Kim, Taehun , Kwon, Youngeun , Rhu, Minsoo

Conference Paper Issue Date2020-06-01 View30
Debunking the CUDA Myth Towards GPU-based AI Systems

Lee, Yunjae , Lim, Juntaek , Bang, JeHyeon , Cho, Eunyeong , Jeong, Huijong , Kim, Taesu , Kim, Hyungjun , Lee, Joonhyung , Im, Jinseop , Hwang, Ranggi , et al

Conference Paper Issue Date2025-06-21 View19
DiVa: An Accelerator for Differentially Private Machine Learning File

Park, Beomsik , Hwang, Ranggi , Yoon, Dongho , Choi, Yoonhyuk , Rhu, Minsoo

Conference Paper Issue Date2022-08-01 View23
GROW: A Row-Stationary Sparse-Dense GEMM Accelerator for Memory-Efficient Graph Convolutional Neural Networks File

Hwang, Ranggi , Kang, Minhoo , Lee, Jiwon , Kam, Dongyun , Lee, Youngjoo , Rhu, Minsoo

Conference Paper Issue Date2023-01-27 View28
HAMMER: Hardware-Friendly Approximate Computing for Self-Attention With Mean-Redistribution And Linearization File

Lee, Seonho , Hwang, Ranggi , Park, Jongse , Rhu, Minsoo

Article Issue Date2023-01 View41
LazyDP: Co-Designing Algorithm-Software for Scalable Training of Differentially Private Recommendation Models

Lim, Juntaek , Kwon, Youngeun , Hwang, Ranggi , Maeng, Kiwan , Suh, G. Edward , Rhu, Minsoo

Conference Paper Issue Date2024-05-01 View22
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