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Ranggi Hwang
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Centaur: A chiplet-based, hybrid sparse-dense accelerator for personalized recommendations
R Hwang, T Kim, Y Kwon, M Rhu
2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture …, 2020
1212020
GROW: A Row-Stationary Sparse-Dense GEMM Accelerator for Memory-Efficient Graph Convolutional Neural Networks
R Hwang, M Kang, J Lee, D Kam, Y Lee, M Rhu
2023 IEEE International Symposium on High-Performance Computer Architecture …, 2023
262023
Pre-gated moe: An algorithm-system co-design for fast and scalable mixture-of-expert inference
R Hwang, J Wei, S Cao, C Hwang, X Tang, T Cao, M Yang
2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture …, 2024
152024
DiVa: An accelerator for differentially private machine learning
B Park, R Hwang, D Yoon, Y Choi, M Rhu
2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO …, 2022
52022
LazyDP: Co-Designing Algorithm-Software for Scalable Training of Differentially Private Recommendation Models
J Lim, Y Kwon, R Hwang, K Maeng, E Suh, M Rhu
Proceedings of the 29th ACM International Conference on Architectural …, 2024
2024
HAMMER: Hardware-friendly Approximate Computing for Self-attention with Mean-redistribution and Linearization
S Lee, R Hwang, J Park, M Rhu
IEEE Computer Architecture Letters 22 (1), 13-16, 2023
2023
Hybrid CPU-FPGA accelerator for deep learning based personalized recommendations
R Hwang
한국과학기술원, 2021
2021
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