Symplectic structure-preserving particle-in-cell whole-volume simulation of tokamak plasmas to 111.3 trillion particles and 25.7 billion grids. - Jianyuan Xiao; Junshi Chen; Jiangshan Zheng; Hong An; Shenghong Huang; Chao Yang; Fang Li; Ziyu Zhang 003; Yeqi Huang; Wenting Han; Xin Liu 081; Dexun Chen; et al. (SC, 2021)

2.5 Million-Atom Ab Initio Electronic-Structure Simulation of Complex Metallic Heterostructures with DGDFT. - Wei Hu 006; Hong An; Zhuoqiang Guo; Qingcai Jiang; Xinming Qin; Junshi Chen; Weile Jia; Chao Yang 001; Zhaolong Luo; Jielan Li; Wentiao Wu; Guangming Tan; et al. (SC, 2022)

ServerlessLLM: Low-Latency Serverless Inference for Large Language Models. - Yao Fu; Leyang Xue; Yeqi Huang; Andrei-Octavian Brabete; Dmitrii Ustiugov; Yuvraj Patel; Luo Mai (OSDI, 2024)

ServerlessLLM: Locality-Enhanced Serverless Inference for Large Language Models. - Yao Fu; Leyang Xue; Yeqi Huang; Andrei-Octavian Brabete; Dmitrii Ustiugov; Yuvraj Patel; Luo Mai (CoRR, 2024)

MoE-CAP: Cost-Accuracy-Performance Benchmarking for Mixture-of-Experts Systems. - Yao Fu; Yinsicheng Jiang; Yeqi Huang; Ping Nie; Zhan Lu; Leyang Xue; Congjie He; Man-Kit Sit; Jilong Xue; Li Dong; Ziming Miao; Kai Zou; et al. (CoRR, 2024)

WaferLLM: Large Language Model Inference at Wafer Scale. - Congjie He; Yeqi Huang; Pei Mu 003; Ziming Miao; Jilong Xue; Lingxiao Ma; Fan Yang 024; Luo Mai (OSDI, 2025)

WaferLLM: A Wafer-Scale LLM Inference System. - Congjie He; Yeqi Huang; Pei Mu 003; Ziming Miao; Jilong Xue; Lingxiao Ma; Fan Yang 024; Luo Mai (CoRR, 2025)

MoE-CAP: Benchmarking Cost, Accuracy and Performance of Sparse Mixture-of-Experts Systems. - Yinsicheng Jiang; Yao Fu; Yeqi Huang; Ping Nie; Zhan Lu; Leyang Xue; Congjie He; Man-Kit Sit; Jilong Xue; Li Dong; Ziming Miao; Dayou Du; et al. (CoRR, 2025)