Ranggi Hwang - RankMe

16 papers A* 6Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Exploring KV Cache Quantization in Multimodal Large Language Model Inference. IEEE Comput. Archit. Lett. Hyesung Ahn, Ranggi Hwang, Minsoo Rhu
2026	A*	`conf`	PASCAL: A Phase-Aware Scheduling Algorithm for Serving Reasoning-based Large Language Models. HPCA Eunyeong Cho, Jehyeon Bang, Ranggi Hwang, Minsoo Rhu
2026	J	`jnl`	PASCAL: A Phase-Aware Scheduling Algorithm for Serving Reasoning-based Large Language Models. CoRR Eunyeong Cho, Jehyeon Bang, Ranggi Hwang, Minsoo Rhu
2025	J	`jnl`	Debunking the CUDA Myth Towards GPU-based AI Systems. CoRR 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, Minsoo Rhu
2025	A*	`conf`	Debunking the CUDA Myth Towards GPU-based AI Systems: Evaluation of the Performance and Programmability of Intel's Gaudi NPU for AI Model Serving. ISCA 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, Minsoo Rhu
2024	—	`conf`	LazyDP: Co-Designing Algorithm-Software for Scalable Training of Differentially Private Recommendation Models. ASPLOS (2) Juntaek Lim, Youngeun Kwon, Ranggi Hwang, Kiwan Maeng, G. Edward Suh, Minsoo Rhu
2024	J	`jnl`	LazyDP: Co-Designing Algorithm-Software for Scalable Training of Differentially Private Recommendation Models. CoRR Juntaek Lim, Youngeun Kwon, Ranggi Hwang, Kiwan Maeng, G. Edward Suh, Minsoo Rhu
2024	A*	`conf`	Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference. ISCA Ranggi Hwang, Jianyu Wei, Shijie Cao, Changho Hwang, Xiaohu Tang, Ting Cao, Mao Yang
2023	A*	`conf`	GROW: A Row-Stationary Sparse-Dense GEMM Accelerator for Memory-Efficient Graph Convolutional Neural Networks. HPCA Ranggi Hwang, Minhoo Kang, Jiwon Lee, Dongyun Kam, Youngjoo Lee, Minsoo Rhu
2023	J	`jnl`	HAMMER: Hardware-Friendly Approximate Computing for Self-Attention With Mean-Redistribution And Linearization. IEEE Comput. Archit. Lett. Seonho Lee, Ranggi Hwang, Jongse Park, Minsoo Rhu
2023	J	`jnl`	Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference. CoRR Ranggi Hwang, Jianyu Wei, Shijie Cao, Changho Hwang, Xiaohu Tang, Ting Cao, Mao Yang
2022	A*	`conf`	DiVa: An Accelerator for Differentially Private Machine Learning. MICRO Beomsik Park, Ranggi Hwang, Dongho Yoon, Yoonhyuk Choi, Minsoo Rhu
2022	J	`jnl`	DiVa: An Accelerator for Differentially Private Machine Learning. CoRR Beomsik Park, Ranggi Hwang, Dongho Yoon, Yoonhyuk Choi, Minsoo Rhu
2022	J	`jnl`	GROW: A Row-Stationary Sparse-Dense GEMM Accelerator for Memory-Efficient Graph Convolutional Neural Networks. CoRR Minhoo Kang, Ranggi Hwang, Jiwon Lee, Dongyun Kam, Youngjoo Lee, Minsoo Rhu
2020	A*	`conf`	Centaur: A Chiplet-based, Hybrid Sparse-Dense Accelerator for Personalized Recommendations. ISCA Ranggi Hwang, Taehun Kim, Youngeun Kwon, Minsoo Rhu
2020	J	`jnl`	Centaur: A Chiplet-based, Hybrid Sparse-Dense Accelerator for Personalized Recommendations. CoRR Ranggi Hwang, Taehun Kim, Youngeun Kwon, Minsoo Rhu