Meng Hao

According to our database, Meng Hao authored at least 17 papers between 2016 and 2025.

Collaborative distances:

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

2025

HEngine: A High Performance Optimization Framework on a GPU for Homomorphic Encryption.

Jinghao Zhao, Hongwei Yang, Meng Hao, Weizhe Zhang, Hui He, Desheng Wang

ACM Trans. Archit. Code Optim., June, 2025

Dynamic Power Management Through Multi-agent Deep Reinforcement Learning for Heterogeneous Systems.

Yiming Wang, Weizhe Zhang, Meng Hao, Weizhi Kong, Yuan Wen

ACM Trans. Archit. Code Optim., June, 2025

Deep Learning Workload Mapping Optimization on Jetson Platforms.

Farui Wang, Meng Hao, Siyu Yang, Weizhe Zhang

ACM Trans. Archit. Code Optim., June, 2025

SEPPDL: A Secure and Efficient Privacy-Preserving Deep Learning Inference Framework for Autonomous Driving.

Wang Bobo, Hongwei Yang, Meng Hao, Jiannan Zhang, Hui He, Weizhe Zhang

ACM Trans. Auton. Adapt. Syst., March, 2025

2024

Optimizing depthwise separable convolution on DCU.

Zheng Liu, Meng Hao, Weizhe Zhang, Gangzhao Lu, Xueyang Tian, Siyu Yang, Mingdong Xie, Jie Dai, Chenyu Yuan, Desheng Wang, Hongwei Yang

CCF Trans. High Perform. Comput., December, 2024

Model-Free GPU Online Energy Optimization.

Farui Wang, Meng Hao, Weizhe Zhang, Zheng Wang

IEEE Trans. Sustain. Comput., 2024

DRLCAP: Runtime GPU Frequency Capping With Deep Reinforcement Learning.

Yiming Wang, Meng Hao, Hui He, Weizhe Zhang, Qiuyuan Tang, Xiaoyang Sun, Zheng Wang

IEEE Trans. Sustain. Comput., 2024

Fast Memory Disaggregation with SwiftSwap.

Xiangwei Zhang, Desheng Wang, Weizhe Zhang, Zhiji Yu, Meng Hao

Proceedings of the Network and Parallel Computing, 2024

2022

Dynamic GPU Energy Optimization for Machine Learning Training Workloads.

Farui Wang, Weizhe Zhang, Shichao Lai, Meng Hao, Zheng Wang

IEEE Trans. Parallel Distributed Syst., 2022

Online Power Management for Multi-Cores: A Reinforcement Learning Based Approach.

Yiming Wang, Weizhe Zhang, Meng Hao, Zheng Wang

IEEE Trans. Parallel Distributed Syst., 2022

2021

Fine-Grained Powercap Allocation for Power-Constrained Systems Based on Multi-Objective Machine Learning.

Meng Hao, Weizhe Zhang, Yiming Wang, Gangzhao Lu, Farui Wang, Athanasios V. Vasilakos

IEEE Trans. Parallel Distributed Syst., 2021

Automatic translation of data parallel programs for heterogeneous parallelism through OpenMP offloading.

Farui Wang, Weizhe Zhang, Haonan Guo, Meng Hao, Gangzhao Lu, Zheng Wang

J. Supercomput., 2021

2019

Automatic generation of benchmarks for I/O-intensive parallel applications.

Meng Hao, Weizhe Zhang, You Zhang, Marc Snir, Laurence T. Yang

J. Parallel Distributed Comput., 2019

Multi-Parameter Performance Modeling Based on Machine Learning with Basic Block Features.

Meng Hao, Weizhe Zhang, Yiming Wang, Dong Li, Wen Xia, Hao Wang, Chen Lou

Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

PROFPRED: A Compiler-Level IR Based Performance Prediction Framework for MPI Industrial Applications.

Meng Hao, Weizhe Zhang, Laurence Tianruo Yang

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

2017

Predicting HPC parallel program performance based on LLVM compiler.

Weizhe Zhang, Meng Hao, Marc Snir

Clust. Comput., 2017

2016

Communication optimization for RDMA-based science data transmission tools.

Weizhe Zhang, Meng Hao, Zhiyong Xu

J. Supercomput., 2016