We prioritize publishing in top-tier venues in computer architecture and systems. Primary targets include:
Architecture: ISCA, MICRO, ASPLOS, and HPCA
Related: DAC, ICCAD, PACT, among others
We follow the top-tier classifications used by CSRankings, KIISE, and BK21.
Yunjae Lee*, Juntaek Lim*, Jehyeon Bang, Eunyeong Cho, Huijong Jeong, Taesu Kim, Hyungjun Kim, Joonhyung Lee, Jinseop Im, Ranggi Hwang, Se Jung Kwon, Dongsoo Lee, and Minsoo Rhu, "Debunking the CUDA Myth Towards GPU-based AI Systems," The 52nd IEEE/ACM International Symposium on Computer Architecture (ISCA-52), Tokyo, Japan, June 2025
Acceptance Rate: 23% (132 among 570)
[Paper]
Ranggi Hwang*, Jianyu Wei*, Shijie Cao, Changho Hwang, Xiaohu Tang, Ting Cao, and Mao Yang, "Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference," The 51st IEEE/ACM International Symposium on Computer Architecture (ISCA-51), Buenos Aires, Argentina, June 2024
Acceptance Rate: 19% (83 among 423)
Featured in Microsoft Research Blog's Research Focus series.
[Paper] [Code] [Microsoft Research Blog]
Juntaek Lim, Youngeun Kwon, Ranggi Hwang, Kiwan Maeng, Edward Suh, and Minsoo Rhu, "LazyDP: Co-Designing Algorithm-Software for Scalable Training of Differentially Private Recommendation Models," The 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS-29), San Diego, CA, USA, Mar. 2024
Acceptance Rate: 20% (193 among 921)
[Paper] [Presentation] [Code]
Ranggi Hwang*, Minhoo Kang*, Jiwon Lee, Dongyun Kam, Youngjoo Lee, and Minsoo Rhu, "GROW: A Row-Stationary Sparse-Dense GEMM Accelerator for Memory-Efficient Graph Convolutional Neural Networks," The 29th IEEE International Symposium on High-Performance Computer Architecture (HPCA-29), Montreal, QC, Canada, Feb. 2023
Acceptance Rate: 25% (91 among 364)
[Paper]
Seonho Lee, Ranggi Hwang, Jongse Park, and Minsoo Rhu, "HAMMER: Hardware-friendly Approximate Computing for Self-attention with Mean-redistribution and Linearization," IEEE Computer Architecture Letters, Jan. 2023
[Paper]
Beomsik Park*, Ranggi Hwang*, Dongho Yoon, Yoonhyuk Choi, and Minsoo Rhu, "DiVa: An Accelerator for Differentially Private Machine Learning," The 55th IEEE/ACM International Symposium on Microarchitecture (MICRO-55), Chicago, IL, USA, Oct. 2022
Ranggi Hwang, Taehun Kim, Youngeun Kwon, and Minsoo Rhu, "Centaur: A Chiplet-based, Hybrid Sparse-Dense Accelerator for Personalized Recommendations," The 47th IEEE/ACM International Symposium on Computer Architecture (ISCA-47), Valencia, Spain, June 2020
Acceptance Rate: 18% (77 among 421)
[Paper] [Presentation] [Article]
* Co-first authors with equal contributions