赵家程，博士，中国科学院计算技术研究所处理器芯片全国重点实验室研究员、硕士生导师。主要研究方向为编译技术和 AI Infra。

担任重点研发项目“面向万亿参数模型的高效训练系统”课题负责人（2024年12月—2027年11月），并主持青年基金项目“基于应用裂解—表征—聚合的异构数据中心资源利用率提升技术研究”。

相关成果发表于或录用于 SOSP、OSDI、ISCA、ASPLOS、HPCA、ICML、NeurIPS、TOCS、TPDS、TACO 等国际会议和期刊，T2T 编译器研究获 CGO 2026 杰出论文奖。

2026年10月—至今：中国科学院计算技术研究所，研究员

2020年10月—2026年10月：中国科学院计算技术研究所，副研究员

2017年7月—2020年9月：中国科学院计算技术研究所，助理研究员

2012年9月—2017年7月：中国科学院大学（计算所），博士研究生

2008年9月—2012年7月：天津大学计算机科学与技术学院，本科生

会议文章

[1] Shuaijiang Li, Jiacheng Zhao, Ying Liu, Shuoming Zhang, Lei Chen, Yijin Li, Yangyu Zhang, Zhicheng Li, Runyu Zhou, Xiyu Shi, Chunwei Xia, Yuan Wen, Xiaobing Feng, and Huimin Cui. From Threads to Tiles: T2T, a Compiler for CUDA-to-NPU Translation via 2D Vectorization. 24th ACM/IEEE International Symposium on Code Generation and Optimization (CGO), 2026, pp. 362–374；CGO 2026 杰出论文奖.

[2] Haohui Mai, Xiaoyan Guo, Xiangyun Ding, Daifeng Li, Qiuchu Yu, Chenzhun Guo, Cong Wang, Jiacheng Zhao, Christos Kozyrakis, and Binhang Yuan. Ave: Guiding Agentic GPU Optimization Using Data-Flow Invariants. 32nd ACM Symposium on Operating Systems Principles (SOSP), 2026 (CCF A).

[3] Yangyu Zhang, Lei Chen, Chunwei Xia, Shuaijiang Li, Shuoming Zhang, Zhicheng Li, Qianqi Sun, Jiawei Xiao, Ruiyuan Xu, Ao Chen, Guangli Li, Xiaobing Feng, Huimin Cui, Chenxi Wang, and Jiacheng Zhao. MoonBright: A GPU Memory Allocator with Device-Side Page Table Materialization and Deferred TLB Coherence. 20th USENIX Symposium on Operating Systems Design and Implementation (OSDI), 2026, pp. 2065–2083 (CCF A).

[4] Zhicheng Li, Jiacheng Zhao, Yangyu Zhang, Zhaolin Duan, Xinyu Liu, Siqi Li, Shuoming Zhang, Shuaijiang Li, Donglin Yu, Yuan Wen, Chunwei Xia, Xiyu Shi, and Huimin Cui. Symbiotic MLLM Serving: Dynamically Balancing Parallelism Across GPUs and Resources Within GPUs. 53rd ACM/IEEE Annual International Symposium on Computer Architecture (ISCA), 2026 (CCF A).

[5] Shuoming Zhang, Jiacheng Zhao, Hanyuan Dong, Ruiyuan Xu, Zhicheng Li, Yangyu Zhang, Shuaijiang Li, Yuan Wen, Chunwei Xia, Zheng Wang, Xiaobing Feng, and Huimin Cui. When Grammar Guides the Attack: Uncovering Control-Plane Vulnerabilities in LLMs with Structured Output. ACM Conference on Computer and Communications Security (CCS), 2026 (CCF A).

[6] Yangyu Zhang, Shuoming Zhang, Chunwei Xia, Shuaijiang Li, Zhicheng Li, Ruiyuan Xu, Zheming Yang, Lei Chen, Yuan Wen, Guangli Li, Xiaobing Feng, Huimin Cui, and Jiacheng Zhao. CONTINUUM: Restoring the Contiguous Tensor Abstraction Efficiently for Dynamic AI Workloads via Hardware Virtualization. International Conference on Machine Learning (ICML), 2026 (CCF A)；Spotlight.

[7] Ruiyuan Xu, Shuoming Zhang, Guangli Li, Qiuchu Yu, Rui Zhang, Yangyu Zhang, Hao Qian, Chunwei Xia, Jiacheng Zhao, Chenxi Wang, Xiaobing Feng, Jingling Xue, and Huimin Cui. LEGO: An LLM-Enabled Hierarchical Optimizer for Tensor Computation Graphs with Structure-Aware Search and Compositional Synthesis. International Conference on Machine Learning (ICML), 2026 (CCF A).

[8] Zhicheng Li, Shuoming Zhang, Jiacheng Zhao, Siqi Li, Xiyu Shi, Yangyu Zhang, Shuaijiang Li, Donglin Yu, Zheming Yang, Yuan Wen, and Huimin Cui. SpaceServe: Spatial Multiplexing of Complementary Encoders and Decoders for Multimodal LLMs. Advances in Neural Information Processing Systems 38 (NeurIPS), 2025 (CCF A).

[9] Feng Yu, Guangli Li, Jiacheng Zhao, Huimin Cui, Xiaobing Feng, and Jingling Xue. Optimizing Dynamic-Shape Neural Networks on Accelerators via On-the-Fly Micro-Kernel Polymerization. 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), Volume 2, 2024, pp. 797–812 (CCF A).

[10] Chunwei Xia, Jiacheng Zhao, Qianqi Sun, Zheng Wang, Yuan Wen, Teng Yu, Xiaobing Feng, and Huimin Cui. Optimizing Deep Learning Inference via Global Analysis and Tensor Expressions. 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), Volume 1, 2024, pp. 286–301 (CCF A).

[11] Jie Ren, Dong Xu, Shuangyan Yang, Jiacheng Zhao, Zhicheng Li, Christian Navasca, Chenxi Wang, Harry Xu, and Dong Li. Enabling Large Dynamic Neural Network Training with Learning-based Memory Management. 30th IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2024, pp. 788–802 (CCF A).

[12] Haohui Mai, Jiacheng Zhao, Hongren Zheng, Yiyang Zhao, Zibin Liu, Mingyu Gao, Cong Wang, Huimin Cui, Xiaobing Feng, and Christos Kozyrakis. Honeycomb: Secure and Efficient GPU Executions via Static Validation. 17th USENIX Symposium on Operating Systems Design and Implementation (OSDI), 2023, pp. 155–172 (CCF A).

期刊文章

[1] Yangyu Zhang, Guangli Li, Feng Yu, Fan Luo, Qianqi Sun, Xueying Wang, Jiacheng Zhao, Huimin Cui, Xiaobing Feng, and Jingling Xue. MoonPoly: Bridging Code Generation and Adaptive Execution via Micro-Kernel Polymerization for Optimizing Dynamic-Shape Tensor Operators. ACM Transactions on Architecture and Code Optimization (TACO), 2026 (CCF A).

[2] Yangjun Wu, Wanlu Cao, Jiacheng Zhao, and Honghui Shang. Fast and Scalable Neural Network Quantum States Method for Molecular Potential Energy Surfaces. IEEE Transactions on Parallel and Distributed Systems (TPDS), 36(7), 2025, pp. 1431–1443 (CCF A).

[3] Lei Chen, Jiacheng Zhao, Chenxi Wang, Ting Cao, John Zigman, Haris Volos, Onur Mutlu, Fang Lv, Xiaobing Feng, Guoqing Harry Xu, and Huimin Cui. Unified Holistic Memory Management Supporting Multiple Big Data Processing Frameworks over Hybrid Memories. ACM Transactions on Computer Systems (TOCS), 39(1–4), 2022, pp. 2:1–2:38 (CCF A).

[4] Chunwei Xia, Jiacheng Zhao, Huimin Cui, Xiaobing Feng, and Jingling Xue. DNNTune: Automatic Benchmarking DNN Models for Mobile-cloud Computing. ACM Transactions on Architecture and Code Optimization (TACO), 16(4), 2019, pp. 49:1–49:26 (CCF A).

[5] Jiacheng Zhao, Huimin Cui, Jingling Xue, and Xiaobing Feng. Predicting Cross-Core Performance Interference on Multicore Processors with Regression Analysis. IEEE Transactions on Parallel and Distributed Systems (TPDS), 27(5), 2016, pp. 1443–1456 (CCF A).

[1] 重点研发项目：面向万亿参数模型的高效训练系统，2024年12月—2027年11月，课题负责人。

[2] 青年基金项目：基于应用裂解—表征—聚合的异构数据中心资源利用率提升技术研究，项目负责人。