Zhongkai Yu

According to our database, Zhongkai Yu authored at least 13 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

AMMA: A Multi-Chiplet Memory-Centric Architecture for Low-Latency 1M Context Attention Serving.

Zhongkai Yu, Haotian Ye, Chenyang Zhou, Ohm Rishabh Venkatachalam, Zaifeng Pan, Zhengding Hu, Junsung Kim, Won Woo Ro, Po-An Tsai, Shuyi Pei, Yangwook Kang, Yufei Ding

CoRR, April, 2026

JigsawRL: Assembling RL Pipelines for Efficient LLM Post-Training.

Zhengding Hu, Hehua Ouyang, Chang Chen, Zaifeng Pan, Yue Guan, Zhongkai Yu, Zhen Wang, Steven Swanson, Yufei Ding

CoRR, April, 2026

Pancake: Hierarchical Memory System for Multi-Agent LLM Serving.

Zhengding Hu, Zaifeng Pan, Prabhleen Kaur, Vibha Murthy, Zhongkai Yu, Yue Guan, Zhen Wang, Steven Swanson, Yufei Ding

CoRR, February, 2026

ScaleSim: Serving Large-Scale Multi-Agent Simulation with Invocation Distance-Based Memory Management.

Zaifeng Pan, Yipeng Shen, Zhengding Hu, Zhuang Wang, Aninda Manocha, Zheng Wang, Zhongkai Yu, Yue Guan, Yufei Ding

CoRR, January, 2026

ChipBench: A Next-Step Benchmark for Evaluating LLM Performance in AI-Aided Chip Design.

Zhongkai Yu, Chenyang Zhou, Yichen Lin, Hejia Zhang, Haotian Ye, Junxia Cui, Zaifeng Pan, Jishen Zhao, Yufei Ding

CoRR, January, 2026

2025

Orders in Chaos: Enhancing Large-Scale MoE LLM Serving with Data Movement Forecasting.

Zhongkai Yu, Yue Guan, Zihao Yu, Chenyang Zhou, Shuyi Pei, Yangwook Kang, Yufei Ding, Po-An Tsai

CoRR, October, 2025

KPerfIR: Towards an Open and Compiler-centric Ecosystem for GPU Kernel Performance Tooling on Modern AI Workloads.

Yue Guan, Yuanwei Fang, Keren Zhou, Corbin Robeck, Manman Ren, Zhongkai Yu, Yufei Ding, Adnan Aziz

CoRR, May, 2025

Harmonia: A Unified Architecture for Efficient Deep Symbolic Regression.

Tianyun Ma, Yuanbo Wen, Xinkai Song, Pengwei Jin, Di Huang, Husheng Han, Ziyuan Nan, Zhongkai Yu, Shaohui Peng, Yongwei Zhao, Huaping Chen, Zidong Du, Xing Hu, Qi Guo

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., February, 2025

KPerfIR: Towards a Open and Compiler-centric Ecosystem for GPU Kernel Performance Tooling on Modern AI Workloads.

Yue Guan, Yuanwei Fang, Keren Zhou, Corbin Robeck, Manman Ren, Zhongkai Yu, Yufei Ding, Adnan Aziz

Proceedings of the 19th USENIX Symposium on Operating Systems Design and Implementation, 2025

FastTree: Optimizing Attention Kernel and Runtime for Tree-Structured LLM Inference.

Zaifeng Pan, Yitong Ding, Yue Guan, Zheng Wang, Zhongkai Yu, Xulong Tang, Yida Wang, Yufei Ding

Proceedings of the Eighth Conference on Machine Learning and Systems, 2025

2024

Environmental Condition Aware Super-Resolution Acceleration Framework in Server-Client Hierarchies.

Zhuoran Song, Zhongkai Yu, Xinkai Song, Yifan Hao, Li Jiang, Naifeng Jing, Xiaoyao Liang

ACM Trans. Archit. Code Optim., December, 2024

Cambricon-LLM: A Chiplet-Based Hybrid Architecture for On-Device Inference of 70B LLM.

Zhongkai Yu, Shengwen Liang, Tianyun Ma, Yunke Cai, Ziyuan Nan, Di Huang, Xinkai Song, Yifan Hao, Jie Zhang, Tian Zhi, Yongwei Zhao, Zidong Du, Xing Hu, Qi Guo, Tianshi Chen

Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

2022

E²SR: an end-to-end video CODEC assisted system for super resolution acceleration.

Zhuoran Song, Zhongkai Yu, Naifeng Jing, Xiaoyao Liang

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022