Minsoo Rhu - RankMe

94 papers A* 37A 2B 4Journal 47Unranked 4

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
2026	A*	`conf`	PIM-Malloc: A Fast and Scalable Dynamic Memory Allocator for Processing-In-Memory (PIM) Architectures. HPCA Dongjae Lee, Bongjoon Hyun, Youngjin Kwon, Minsoo Rhu
2026	A*	`conf`	The Cost of Dynamic Reasoning: Demystifying AI Agents and Test-Time Scaling from an AI Infrastructure Perspective. HPCA Jiin Kim, Byeongjun Shin, Jinha Chung, Minsoo Rhu
2026	J	`jnl`	ZipFlow: a Compiler-based Framework to Unleash Compressed Data Movement for Modern GPUs. CoRR Gwangoo Yeo, Zhiyang Shen, Wei Cui, Matteo Interlandi, Rathijit Sen, Bailu Ding, Qi Chen, Minsoo Rhu
2025	J	`jnl`	A Characterization of Generative Recommendation Models: Study of Hierarchical Sequential Transduction Unit. IEEE Comput. Archit. Lett. Taehun Kim, Yunjae Lee, Juntaek Lim, Minsoo Rhu
2025	J	`jnl`	Characterization and Analysis of the 3D Gaussian Splatting Rendering Pipeline. IEEE Comput. Archit. Lett. Jiwon Lee, Yunjae Lee, Youngeun Kwon, 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
2025	B	`conf`	Hera: A Heterogeneity-Aware Multi-Tenant Inference Server for Personalized Recommendations. PACT Yujeong Choi, John Kim, Minsoo Rhu
2025	A	`conf`	Mamba-X: An End-to-End Vision Mamba Accelerator for Edge Computing Devices. ICCAD Dongho Yoon, Gungyu Lee, Jaewon Chang, Yunjae Lee, Dongjae Lee, Minsoo Rhu
2025	J	`jnl`	Mamba-X: An End-to-End Vision Mamba Accelerator for Edge Computing Devices. CoRR Dongho Yoon, Gungyu Lee, Jaewon Chang, Yunjae Lee, Dongjae Lee, Minsoo Rhu
2025	J	`jnl`	PIM-malloc: A Fast and Scalable Dynamic Memory Allocator for Processing-In-Memory (PIM) Architectures. CoRR Dongjae Lee, Bongjoon Hyun, Youngjin Kwon, Minsoo Rhu
2025	J	`jnl`	The Cost of Dynamic Reasoning: Demystifying AI Agents and Test-Time Scaling from an AI Infrastructure Perspective. CoRR Jiin Kim, Byeongjun Shin, Jinha Chung, Minsoo Rhu
2024	J	`jnl`	A Quantitative Analysis of State Space Model-Based Large Language Model: Study of Hungry Hungry Hippos. IEEE Comput. Archit. Lett. Dongho Yoon, Taehun Kim, Jae W. Lee, Minsoo Rhu
2024	J	`jnl`	Analysis of Data Transfer Bottlenecks in Commercial PIM Systems: A Study With UPMEM-PIM. IEEE Comput. Archit. Lett. Dongjae Lee, Bongjoon Hyun, Taehun Kim, Minsoo Rhu
2024	J	`jnl`	Characterization and Analysis of Text-to-Image Diffusion Models. IEEE Comput. Archit. Lett. Eunyeong Cho, Jehyeon Bang, Minsoo Rhu
2024	A*	`conf`	ElasticRec: A Microservice-based Model Serving Architecture Enabling Elastic Resource Scaling for Recommendation Models. ISCA Yujeong Choi, Jiin Kim, Minsoo Rhu
2024	J	`jnl`	ElasticRec: A Microservice-based Model Serving Architecture Enabling Elastic Resource Scaling for Recommendation Models. CoRR Yujeong Choi, Jiin Kim, Minsoo Rhu
2024	J	`jnl`	FPGA-Accelerated Data Preprocessing for Personalized Recommendation Systems. IEEE Comput. Archit. Lett. Hyeseong Kim, Yunjae Lee, Minsoo Rhu
2024	—	`conf`	GPU-based Private Information Retrieval for On-Device Machine Learning Inference. ASPLOS (1) Maximilian Lam, Jeff Johnson, Wenjie Xiong, Kiwan Maeng, Udit Gupta, Yang Li, Liangzhen Lai, Ilias Leontiadis, Minsoo Rhu, Hsien-Hsin S. Lee, Vijay Janapa Reddi, Gu-Yeon Wei, David Brooks, G. Edward Suh
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`	PIM-MMU: A Memory Management Unit for Accelerating Data Transfers in Commercial PIM Systems. MICRO Dongjae Lee, Bongjoon Hyun, Taehun Kim, Minsoo Rhu
2024	J	`jnl`	PIM-MMU: A Memory Management Unit for Accelerating Data Transfers in Commercial PIM Systems. CoRR Dongjae Lee, Bongjoon Hyun, Taehun Kim, Minsoo Rhu
2024	J	`jnl`	PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers. CoRR Gwangoo Yeo, Jiin Kim, Yujeong Choi, Minsoo Rhu
2024	A*	`conf`	Pathfinding Future PIM Architectures by Demystifying a Commercial PIM Technology. HPCA Bongjoon Hyun, Taehun Kim, Dongjae Lee, Minsoo Rhu
2024	A*	`conf`	PreSto: An In-Storage Data Preprocessing System for Training Recommendation Models. ISCA Yunjae Lee, Hyeseong Kim, Minsoo Rhu
2024	J	`jnl`	PreSto: An In-Storage Data Preprocessing System for Training Recommendation Models. CoRR Yunjae Lee, Hyeseong Kim, Minsoo Rhu
2024	A*	`conf`	Uncovering Real GPU NoC Characteristics: Implications on Interconnect Architecture. MICRO Zhixian Jin, Christopher Rocca, Jiho Kim, Hans Kasan, Minsoo Rhu, Ali Bakhoda, Tor M. Aamodt, John Kim
2024	A*	`conf`	vTrain: A Simulation Framework for Evaluating Cost-Effective and Compute-Optimal Large Language Model Training. MICRO Jehyeon Bang, Yujeong Choi, Myeongwoo Kim, Yongdeok Kim, Minsoo Rhu
2023	J	`jnl`	GPU-based Private Information Retrieval for On-Device Machine Learning Inference. CoRR Maximilian Lam, Jeff Johnson, Wenjie Xiong, Kiwan Maeng, Udit Gupta, Yang Li, Liangzhen Lai, Ilias Leontiadis, Minsoo Rhu, Hsien-Hsin S. Lee, Vijay Janapa Reddi, Gu-Yeon Wei, David Brooks, G. Edward Suh
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`	Hera: A Heterogeneity-Aware Multi-Tenant Inference Server for Personalized Recommendations. CoRR Yujeong Choi, John Kim, Minsoo Rhu
2023	J	`jnl`	Pathfinding Future PIM Architectures by Demystifying a Commercial PIM Technology. CoRR Bongjoon Hyun, Taehun Kim, Dongjae Lee, Minsoo Rhu
2023	J	`jnl`	vTrain: A Simulation Framework for Evaluating Cost-effective and Compute-optimal Large Language Model Training. CoRR Jehyeon Bang, Yujeong Choi, Myeongwoo Kim, Yongdeok Kim, Minsoo Rhu
2022	A*	`conf`	ARK: Fully Homomorphic Encryption Accelerator with Runtime Data Generation and Inter-Operation Key Reuse. MICRO Jongmin Kim, Gwangho Lee, Sangpyo Kim, Gina Sohn, Minsoo Rhu, John Kim, Jung Ho Ahn
2022	J	`jnl`	ARK: Fully Homomorphic Encryption Accelerator with Runtime Data Generation and Inter-Operation Key Reuse. CoRR Jongmin Kim, Gwangho Lee, Sangpyo Kim, Gina Sohn, John Kim, Minsoo Rhu, Jung Ho Ahn
2022	A*	`conf`	BTS: an accelerator for bootstrappable fully homomorphic encryption. ISCA Sangpyo Kim, Jongmin Kim, Michael Jaemin Kim, Wonkyung Jung, John Kim, Minsoo Rhu, Jung Ho Ahn
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
2022	J	`jnl`	PARIS and ELSA: An Elastic Scheduling Algorithm for Reconfigurable Multi-GPU Inference Servers. CoRR Yunseong Kim, Yujeong Choi, Minsoo Rhu
2022	A*	`conf`	PARIS and ELSA: an elastic scheduling algorithm for reconfigurable multi-GPU inference servers. DAC Yunseong Kim, Yujeong Choi, Minsoo Rhu
2022	J	`jnl`	SmartSAGE: Training Large-scale Graph Neural Networks using In-Storage Processing Architectures. CoRR Yunjae Lee, Jinha Chung, Minsoo Rhu
2022	A*	`conf`	SmartSAGE: training large-scale graph neural networks using in-storage processing architectures. ISCA Yunjae Lee, Jinha Chung, Minsoo Rhu
2022	J	`jnl`	Training Personalized Recommendation Systems from (GPU) Scratch: Look Forward not Backwards. CoRR Youngeun Kwon, Minsoo Rhu
2022	A*	`conf`	Training personalized recommendation systems from (GPU) scratch: look forward not backwards. ISCA Youngeun Kwon, Minsoo Rhu
2021	J	`jnl`	BTS: An Accelerator for Bootstrappable Fully Homomorphic Encryption. CoRR Sangpyo Kim, Jongmin Kim, Michael Jaemin Kim, Wonkyung Jung, Minsoo Rhu, John Kim, Jung Ho Ahn
2021	J	`jnl`	Characterization and Analysis of Deep Learning for 3D Point Cloud Analytics. IEEE Comput. Archit. Lett. Bongjoon Hyun, Jiwon Lee, Minsoo Rhu
2021	A*	`conf`	Lazy Batching: An SLA-aware Batching System for Cloud Machine Learning Inference. HPCA Yujeong Choi, Yunseong Kim, Minsoo Rhu
2021	A*	`conf`	TRiM: Enhancing Processor-Memory Interfaces with Scalable Tensor Reduction in Memory. MICRO Jaehyun Park, Byeongho Kim, Sungmin Yun, Eojin Lee, Minsoo Rhu, Jung Ho Ahn
2021	J	`jnl`	TRiM: Tensor Reduction in Memory. IEEE Comput. Archit. Lett. Byeongho Kim, Jaehyun Park, Eojin Lee, Minsoo Rhu, Jung Ho Ahn
2021	A*	`conf`	Tensor Casting: Co-Designing Algorithm-Architecture for Personalized Recommendation Training. HPCA Youngeun Kwon, Yunjae Lee, Minsoo Rhu
2021	A*	`conf`	Trident: A Hybrid Correlation-Collision GPU Cache Timing Attack for AES Key Recovery. HPCA Jaeguk Ahn, Cheolgyu Jin, Jiho Kim, Minsoo Rhu, Yunsi Fei, David R. Kaeli, John Kim
2021	J	`jnl`	Understanding the Implication of Non-Volatile Memory for Large-Scale Graph Neural Network Training. IEEE Comput. Archit. Lett. Yunjae Lee, Youngeun Kwon, Minsoo Rhu
2020	B	`conf`	Bandwidth Bottleneck in Network-on-Chip for High-Throughput Processors. PACT Jiho Kim, Sanghun Cho, Minsoo Rhu, Ali Bakhoda, Tor M. Aamodt, John Kim
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
2020	J	`jnl`	LazyBatching: An SLA-aware Batching System for Cloud Machine Learning Inference. CoRR Yujeong Choi, Yunseong Kim, Minsoo Rhu
2020	A*	`conf`	NeuMMU: Architectural Support for Efficient Address Translations in Neural Processing Units. ASPLOS Bongjoon Hyun, Youngeun Kwon, Yujeong Choi, John Kim, Minsoo Rhu
2020	A*	`conf`	PREMA: A Predictive Multi-Task Scheduling Algorithm For Preemptible Neural Processing Units. HPCA Yujeong Choi, Minsoo Rhu
2020	J	`jnl`	Tensor Casting: Co-Designing Algorithm-Architecture for Personalized Recommendation Training. CoRR Youngeun Kwon, Yunjae Lee, Minsoo Rhu
2019	J	`jnl`	A Disaggregated Memory System for Deep Learning. IEEE Micro Youngeun Kwon, Minsoo Rhu
2019	J	`jnl`	Beyond the Memory Wall: A Case for Memory-centric HPC System for Deep Learning. CoRR Youngeun Kwon, Minsoo Rhu
2019	J	`jnl`	NeuMMU: Architectural Support for Efficient Address Translations in Neural Processing Units. CoRR Bongjoon Hyun, Youngeun Kwon, Yujeong Choi, John Kim, Minsoo Rhu
2019	J	`jnl`	PREMA: A Predictive Multi-task Scheduling Algorithm For Preemptible Neural Processing Units. CoRR Yujeong Choi, Minsoo Rhu
2019	A*	`conf`	TensorDIMM: A Practical Near-Memory Processing Architecture for Embeddings and Tensor Operations in Deep Learning. MICRO Youngeun Kwon, Yunjae Lee, Minsoo Rhu
2019	J	`jnl`	TensorDIMM: A Practical Near-Memory Processing Architecture for Embeddings and Tensor Operations in Deep Learning. CoRR Youngeun Kwon, Yunjae Lee, Minsoo Rhu
2018	J	`jnl`	A Case for Memory-Centric HPC System Architecture for Training Deep Neural Networks. IEEE Comput. Archit. Lett. Youngeun Kwon, Minsoo Rhu
2018	—	`conf`	Accelerator-centric deep learning systems for enhanced scalability, energy-efficiency, and programmability. ASP-DAC Minsoo Rhu
2018	A*	`conf`	Beyond the Memory Wall: A Case for Memory-Centric HPC System for Deep Learning. MICRO Youngeun Kwon, Minsoo Rhu
2018	A*	`conf`	Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks. HPCA Minsoo Rhu, Mike O'Connor, Niladrish Chatterjee, Jeff Pool, Youngeun Kwon, Stephen W. Keckler
2018	J	`jnl`	Structurally Sparsified Backward Propagation for Faster Long Short-Term Memory Training. CoRR Maohua Zhu, Jason Clemons, Jeff Pool, Minsoo Rhu, Stephen W. Keckler, Yuan Xie
2017	A*	`conf`	Architecting an Energy-Efficient DRAM System for GPUs. HPCA Niladrish Chatterjee, Mike O'Connor, Donghyuk Lee, Daniel R. Johnson, Stephen W. Keckler, Minsoo Rhu, William J. Dally
2017	J	`jnl`	Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks. CoRR Minsoo Rhu, Mike O'Connor, Niladrish Chatterjee, Jeff Pool, Stephen W. Keckler
2017	A*	`conf`	GPUpd: a fast and scalable multi-GPU architecture using cooperative projection and distribution. MICRO Youngsok Kim, Jae-Eon Jo, Hanhwi Jang, Minsoo Rhu, Hanjun Kim, Jangwoo Kim
2017	A*	`conf`	SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks. ISCA Angshuman Parashar, Minsoo Rhu, Anurag Mukkara, Antonio Puglielli, Rangharajan Venkatesan, Brucek Khailany, Joel S. Emer, Stephen W. Keckler, William J. Dally
2017	J	`jnl`	SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks. CoRR Angshuman Parashar, Minsoo Rhu, Anurag Mukkara, Antonio Puglielli, Rangharajan Venkatesan, Brucek Khailany, Joel S. Emer, Stephen W. Keckler, William J. Dally
2016	J	`jnl`	Virtualizing Deep Neural Networks for Memory-Efficient Neural Network Design. CoRR Minsoo Rhu, Natalia Gimelshein, Jason Clemons, Arslan Zulfiqar, Stephen W. Keckler
2016	A*	`conf`	vDNN: Virtualized deep neural networks for scalable, memory-efficient neural network design. MICRO Minsoo Rhu, Natalia Gimelshein, Jason Clemons, Arslan Zulfiqar, Stephen W. Keckler
2015	A*	`conf`	CLEAN-ECC: high reliability ECC for adaptive granularity memory system. MICRO Seong-Lyong Gong, Minsoo Rhu, Jungrae Kim, Jinsuk Chung, Mattan Erez
2015	A*	`conf`	Priority-based cache allocation in throughput processors. HPCA Dong Li, Minsoo Rhu, Daniel R. Johnson, Mike O'Connor, Mattan Erez, Doug Burger, Donald S. Fussell, Stephen W. Redder
2014	A	`conf`	GPUVolt: modeling and characterizing voltage noise in GPU architectures. ISLPED Jingwen Leng, Yazhou Zu, Minsoo Rhu, Meeta Sharma Gupta, Vijay Janapa Reddi
2013	A*	`conf`	A locality-aware memory hierarchy for energy-efficient GPU architectures. MICRO Minsoo Rhu, Michael B. Sullivan, Jingwen Leng, Mattan Erez
2013	A*	`conf`	Maximizing SIMD resource utilization in GPGPUs with SIMD lane permutation. ISCA Minsoo Rhu, Mattan Erez
2013	A*	`conf`	The dual-path execution model for efficient GPU control flow. HPCA Minsoo Rhu, Mattan Erez
2012	A*	`conf`	CAPRI: Prediction of compaction-adequacy for handling control-divergence in GPGPU architectures. ISCA Minsoo Rhu, Mattan Erez
2010	J	`jnl`	Optimization of Arithmetic Coding for JPEG2000. IEEE Trans. Circuits Syst. Video Technol. Minsoo Rhu, In-Cheol Park
2009	—	`conf`	A novel trace-pipelined binary arithmetic coder architecture for JPEG2000. SiPS Minsoo Rhu, In-Cheol Park
2009	B	`conf`	Architecture design of a high-performance dual-symbol binary arithmetic coder for JPEG2000. ICIP Minsoo Rhu, In-Cheol Park
2009	B	`conf`	Memory-less bit-plane coder architecture for JPEG2000 with concurrent column-stripe coding. ICIP Minsoo Rhu, In-Cheol Park