Haojie Wang

According to our database, Haojie Wang authored at least 35 papers between 2018 and 2026.

Collaborative distances:

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

2026

UniOrch: A Unified Mixed Framework for High-Efficiency LLM Training on Heterogeneous AI Chips.

Jingyi Wang, Jia Wang, Jun Gao, Yan Cao, Yang Zhai, Haojie Wang, Wanxin Song, Dezhi Kong, Liu Liu, Wei Li, Zhaofeng He

IEEE Trans. Parallel Distributed Syst., June, 2026

ChituDiffusion: A Data-Characteristic-Aware Serving System for Diffusion Models.

Chengzhang Wu, Liyan Zheng, Haojie Wang, Kezhao Huang, Zixuan Ma, Dong Dong, Jidong Zhai

Proceedings of the 31st ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2026

Taming Dynamic Diffusion LLM Inference through Virtual Static Execution.

Jianian Zhu, Hang Wu, Yinghui Li, Haojie Wang, Ruixuan Li, Jidong Zhai

Proceedings of the 40th ACM International Conference on Supercomputing, 2026

2025

SpecRouter: Adaptive Routing for Multi-Level Speculative Decoding in Large Language Models.

Hang Wu, Jianian Zhu, Yinghui Li, Haojie Wang, Biao Hou, Jidong Zhai

CoRR, May, 2025

FastCache: Optimizing Multimodal LLM Serving through Lightweight KV-Cache Compression Framework.

Jianian Zhu, Hang Wu, Haojie Wang, Yinghui Li, Biao Hou, Ruixuan Li, Jidong Zhai

CoRR, March, 2025

Leveraging Graph Analysis to Pinpoint Root Causes of Scalability Issues for Parallel Applications.

Yuyang Jin, Haojie Wang, Xiongchao Tang, Zhenhua Guo, Yaqian Zhao, Torsten Hoefler, Tao Liu, Xu Liu, Jidong Zhai

IEEE Trans. Parallel Distributed Syst., February, 2025

IntelliGen: Instruction-Level Auto-tuning for Tensor Program with Monotonic Memory Optimization.

Zixuan Ma, Haojie Wang, Jingze Xing, Shuhong Huang, Liyan Zheng, Chen Zhang, Huanqi Cao, Kezhao Huang, Mingshu Zhai, Shizhi Tang, Penghan Wang, Jidong Zhai

Proceedings of the 23rd ACM/IEEE International Symposium on Code Generation and Optimization, 2025

2024

Graph-Centric Performance Analysis for Large-Scale Parallel Applications.

Yuyang Jin, Haojie Wang, Runxin Zhong, Chen Zhang, Xia Liao, Feng Zhang, Jidong Zhai

IEEE Trans. Parallel Distributed Syst., July, 2024

MAGPY: Compiling Eager Mode DNN Programs by Monitoring Execution States.

Chen Zhang, Rongchao Dong, Haojie Wang, Runxin Zhong, Jike Chen, Jidong Zhai

Proceedings of the 2024 USENIX Annual Technical Conference, 2024

WiseGraph: Optimizing GNN with Joint Workload Partition of Graph and Operations.

Kezhao Huang, Jidong Zhai, Liyan Zheng, Haojie Wang, Yuyang Jin, Qihao Zhang, Runqing Zhang, Zhen Zheng, Youngmin Yi, Xipeng Shen

Proceedings of the Nineteenth European Conference on Computer Systems, 2024

AdaPipe: Optimizing Pipeline Parallelism with Adaptive Recomputation and Partitioning.

Zhenbo Sun, Huanqi Cao, Yuanwei Wang, Guanyu Feng, Shengqi Chen, Haojie Wang, Wenguang Chen

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

Optimal Kernel Orchestration for Tensor Programs with Korch.

Muyan Hu, Ashwin Venkatram, Shreyashri Biswas, Balamurugan Marimuthu, Bohan Hou, Gabriele Oliaro, Haojie Wang, Liyan Zheng, Xupeng Miao, Jidong Zhai, Zhihao Jia

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

Optimizing DNNs With Partially Equivalent Transformations and Automated Corrections.

Haojie Wang, Jidong Zhai, Mingyu Gao, Feng Zhang, Tuowei Wang, Zixuan Ma, Shizhi Tang, Liyan Zheng, Wen Wang, Kaiyuan Rong, Yuanyong Chen, Zhihao Jia

IEEE Trans. Computers, December, 2023

Unified Programming Models for Heterogeneous High-Performance Computers.

Zixuan Ma, Yuyang Jin, Shizhi Tang, Haojie Wang, Wei-Cheng Xue, Jidong Zhai, Wei-Min Zheng

J. Comput. Sci. Technol., February, 2023

PowerFusion: A Tensor Compiler with Explicit Data Movement Description and Instruction-level Graph IR.

Zixuan Ma, Haojie Wang, Jingze Xing, Liyan Zheng, Chen Zhang, Huanqi Cao, Kezhao Huang, Shizhi Tang, Penghan Wang, Jidong Zhai

CoRR, 2023

GraphSet: High Performance Graph Mining through Equivalent Set Transformations.

Tianhui Shi, Jidong Zhai, Haojie Wang, Qiqian Chen, Mingshu Zhai, Zixu Hao, Haoyu Yang, Wenguang Chen

Proceedings of the International Conference for High Performance Computing, 2023

EINNET: Optimizing Tensor Programs with Derivation-Based Transformations.

Liyan Zheng, Haojie Wang, Jidong Zhai, Muyan Hu, Zixuan Ma, Tuowei Wang, Shuhong Huang, Xupeng Miao, Shizhi Tang, Kezhao Huang, Zhihao Jia

Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 2023

2022

Detecting Performance Variance for Parallel Applications Without Source Code.

Jidong Zhai, Liyan Zheng, Feng Zhang, Xiongchao Tang, Haojie Wang, Teng Yu, Yuyang Jin, Shuaiwen Leon Song, Wenguang Chen

IEEE Trans. Parallel Distributed Syst., 2022

OLLIE: Derivation-based Tensor Program Optimizer.

Liyan Zheng, Haojie Wang, Jidong Zhai, Muyan Hu, Zixuan Ma, Tuowei Wang, Shizhi Tang, Lei Xie, Kezhao Huang, Zhihao Jia

CoRR, 2022

UniQ: A Unified Programming Model for Efficient Quantum Circuit Simulation.

Chen Zhang, Haojie Wang, Zixuan Ma, Lei Xie, Zeyu Song, Jidong Zhai

Proceedings of the SC22: International Conference for High Performance Computing, 2022

Vapro: performance variance detection and diagnosis for production-run parallel applications.

Liyan Zheng, Jidong Zhai, Xiongchao Tang, Haojie Wang, Teng Yu, Yuyang Jin, Shuaiwen Leon Song, Wenguang Chen

Proceedings of the PPoPP '22: 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Seoul, Republic of Korea, April 2, 2022

BaGuaLu: targeting brain scale pretrained models with over 37 million cores.

Zixuan Ma, Jiaao He, Jiezhong Qiu, Huanqi Cao, Yuanwei Wang, Zhenbo Sun, Liyan Zheng, Haojie Wang, Shizhi Tang, Tianyu Zheng, Junyang Lin, Guanyu Feng, Zeqiang Huang, Jie Gao, Aohan Zeng, Jianwei Zhang, Runxin Zhong, Tianhui Shi, Sha Liu, Weimin Zheng, Jie Tang, Hongxia Yang, Xin Liu, Jidong Zhai, Wenguang Chen

Proceedings of the PPoPP '22: 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Seoul, Republic of Korea, April 2, 2022

PerFlow: a domain specific framework for automatic performance analysis of parallel applications.

Yuyang Jin, Haojie Wang, Runxin Zhong, Chen Zhang, Jidong Zhai

Proceedings of the PPoPP '22: 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Seoul, Republic of Korea, April 2, 2022

FasterMoE: modeling and optimizing training of large-scale dynamic pre-trained models.

Jiaao He, Jidong Zhai, Tiago Antunes, Haojie Wang, Fuwen Luo, Shangfeng Shi, Qin Li

Proceedings of the PPoPP '22: 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Seoul, Republic of Korea, April 2, 2022

FreeTensor: a free-form DSL with holistic optimizations for irregular tensor programs.

Shizhi Tang, Jidong Zhai, Haojie Wang, Lin Jiang, Liyan Zheng, Zhenhao Yuan, Chen Zhang

Proceedings of the PLDI '22: 43rd ACM SIGPLAN International Conference on Programming Language Design and Implementation, San Diego, CA, USA, June 13, 2022

Efficiently emulating high-bitwidth computation with low-bitwidth hardware.

Zixuan Ma, Haojie Wang, Guanyu Feng, Chen Zhang, Lei Xie, Jiaao He, Shengqi Chen, Jidong Zhai

Proceedings of the ICS '22: 2022 International Conference on Supercomputing, Virtual Event, June 28, 2022

2021

Chukonu: A Fully-Featured Big Data Processing System by Efficiently Integrating a Native Compute Engine into Spark.

Bowen Yu, Guanyu Feng, Huanqi Cao, Xiaohan Li, Zhenbo Sun, Haojie Wang, Xiaowei Zhu, Weimin Zheng, Wenguang Chen

Proc. VLDB Endow., 2021

LotusSQL: SQL engine for high-performance big data systems.

Xiaohan Li, Bowen Yu, Guanyu Feng, Haojie Wang, Wenguang Chen

Big Data Min. Anal., 2021

PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections.

Haojie Wang, Jidong Zhai, Mingyu Gao, Zixuan Ma, Shizhi Tang, Liyan Zheng, Yuanzhi Li, Kaiyuan Rong, Yuanyong Chen, Zhihao Jia

Proceedings of the 15th USENIX Symposium on Operating Systems Design and Implementation, 2021

HyQuas: hybrid partitioner based quantum circuit simulation system on GPU.

Chen Zhang, Zeyu Song, Haojie Wang, Kaiyuan Rong, Jidong Zhai

Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 2021

Sparker: Efficient Reduction for More Scalable Machine Learning with Spark.

Bowen Yu, Huanqi Cao, Tianyi Shan, Haojie Wang, Xiongchao Tang, Wenguang Chen

Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021

2020

ScalAna: automating scaling loss detection with graph analysis.

Yuyang Jin, Haojie Wang, Teng Yu, Xiongchao Tang, Torsten Hoefler, Xu Liu, Jidong Zhai

Proceedings of the International Conference for High Performance Computing, 2020

Identifying scalability bottlenecks for large-scale parallel programs with graph analysis.

Yuyang Jin, Haojie Wang, Xiongchao Tang, Torsten Hoefler, Xu Liu, Jidong Zhai

Proceedings of the PPoPP '20: 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2020

2019

Spread-n-share: improving application performance and cluster throughput with resource-aware job placement.

Xiongchao Tang, Haojie Wang, Xiaosong Ma, Nosayba El-Sayed, Jidong Zhai, Wenguang Chen, Ashraf Aboulnaga

Proceedings of the International Conference for High Performance Computing, 2019

2018

Spindle: Informed Memory Access Monitoring.

Haojie Wang, Jidong Zhai, Xiongchao Tang, Bowen Yu, Xiaosong Ma, Wenguang Chen

Proceedings of the 2018 USENIX Annual Technical Conference, 2018