Paper-Conference

Effectively Scheduling Computational Graphs of Deep Neural Networks toward Their Domain-Specific Accelerators

In Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2023)

Jie Zhao, Siyuan Feng, Xiaoqiang Dan, Fei Liu, Chengke Wang, Sheng Yuan, Wenyuan Lv, Qikai Xie

Automatically Generating High-performance Matrix Multiplication Kernels on the Latest Sunway Processor

In Proceedings of the 51st International Conference on Parallel Processing (ICPP 2022)

Xiaohan Tao, Yu Zhu, Boyang Wang, Jinlong Xu, Jianmin Pang, Jie Zhao

Parallelizing Neural Network Models Effectively on GPU by Implementing Reductions Atomically

In Proceedings of 31st International Conference on Parallel Architectures and Compilation Techniques (PACT 2022)

Jie Zhao, Cédric Bastoul, Yanzhi Yi, Jiahui Hu, Wang Nie, Renwei Zhang, Zhen Geng, Chong Li, Thibaut Tachon, Zhiliang Gan

AKG: automatic kernel generation for neural processing units using polyhedral transformations

In Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation (PLDI 2021)

Jie Zhao, Bojie Li, Wang Nie, Zhen Geng, Renwei Zhang, Xiong Gao, Bin Cheng, Chen Wu, Yun Cheng, Zheng Li, Peng Di, Kun Zhang, Xuefeng Jin

Optimizing the Memory Hierarchy by Compositing Automatic Transformations on Computations and Data

In Proceedings of the 53rd IEEE/ACM International Symposium on Microarchitecture (MICRO 2020)

Jie Zhao, Peng Di

A polyhedral compilation framework for loops with dynamic data-dependent bounds

In Proceedings of the 27th International Conference on Compiler Construction (CC 2018)

Jie Zhao, Michael Kruse, Albert Cohen