| 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 | 98 | 2020 |
| 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 | 17 | 2023 |
| 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 | 5 | 2022 |
| 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, M Rhu arXiv preprint arXiv:2308.12066, 2023 | 3 | 2023 |
| LazyDP: Co-Designing Algorithm-Software for Scalable Training of Differentially Private Recommendation Models J Lim, Y Kwon, R Hwang, K Maeng, GE Suh, M Rhu arXiv preprint arXiv:2404.08847, 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 |
Minsoo RhuKAISTVerified email at kaist.ac.kr
