NeuMMU: Architectural Support for Efficient Address Translations in Neural Processing Units. - Bongjoon Hyun; Youngeun Kwon; Yujeong Choi; John Kim 001; Minsoo Rhu (ASPLOS, 2020)

PREMA: A Predictive Multi-Task Scheduling Algorithm For Preemptible Neural Processing Units. - Yujeong Choi; Minsoo Rhu (HPCA, 2020)

LazyBatching: An SLA-aware Batching System for Cloud Machine Learning Inference. - Yujeong Choi; Yunseong Kim; Minsoo Rhu (CoRR, 2020)

Lazy Batching: An SLA-aware Batching System for Cloud Machine Learning Inference. - Yujeong Choi; Yunseong Kim; Minsoo Rhu (HPCA, 2021)

PARIS and ELSA: an elastic scheduling algorithm for reconfigurable multi-GPU inference servers. - Yunseong Kim; Yujeong Choi; Minsoo Rhu (DAC, 2022)

Hera: A Heterogeneity-Aware Multi-Tenant Inference Server for Personalized Recommendations. - Yujeong Choi; John Kim 001; Minsoo Rhu (CoRR, 2023)

ElasticRec: A Microservice-based Model Serving Architecture Enabling Elastic Resource Scaling for Recommendation Models. - Yujeong Choi; Jiin Kim; Minsoo Rhu (ISCA, 2024)

vTrain: A Simulation Framework for Evaluating Cost-Effective and Compute-Optimal Large Language Model Training. - Jehyeon Bang; Yujeong Choi; Myeongwoo Kim; Yongdeok Kim; Minsoo Rhu (MICRO, 2024)

PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers. - Gwangoo Yeo; Jiin Kim; Yujeong Choi; Minsoo Rhu (CoRR, 2024)