Meng Hao

21 papers B 1Journal 17Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Multi-Level Acceleration Scheme for AI Model Training on ARM Architecture Processors.
Concurr. Comput. Pract. Exp.
Yang Bai, Mingdong Xie, Meng Hao, Weizhe Zhang, Hongwei Yang, Li He, Wei Duan, NingCheng Wang
2026 J jnl
Accelerating Secure Machine Learning Training on GPUs With Pipeline Parallelism.
IEEE Trans. Dependable Secur. Comput.
Meng Hao, Mingdong Xie, Hongwei Yang, Hui He, Weizhe Zhang, Linxuan Wang, Zheng Liu, Xueyang Tian, Desheng Wang
2025 J jnl
Deep Learning Workload Mapping Optimization on Jetson Platforms.
ACM Trans. Archit. Code Optim.
Farui Wang, Meng Hao, Siyu Yang, Weizhe Zhang
2025 B conf
DynGPU: A Dynamic GPU Sharing Framework for Enhanced Resource Utilization and Task Scheduling in Concurrent DNN Training.
ICPADS
Zhiji Yu, Desheng Wang, Weizhe Zhang, Sichao Chen, Meng Hao, Yu-Chu Tian
2025 J jnl
Dynamic Power Management Through Multi-agent Deep Reinforcement Learning for Heterogeneous Systems.
ACM Trans. Archit. Code Optim.
Yiming Wang, Weizhe Zhang, Meng Hao, Weizhi Kong, Yuan Wen
2025 J jnl
HEngine: A High Performance Optimization Framework on a GPU for Homomorphic Encryption.
ACM Trans. Archit. Code Optim.
Jinghao Zhao, Hongwei Yang, Meng Hao, Weizhe Zhang, Hui He, Desheng Wang
2025 J jnl
SEPPDL: A Secure and Efficient Privacy-Preserving Deep Learning Inference Framework for Autonomous Driving.
ACM Trans. Auton. Adapt. Syst.
Wang Bobo, Hongwei Yang, Meng Hao, Jiannan Zhang, Hui He, Weizhe Zhang
2024 J jnl
DRLCAP: Runtime GPU Frequency Capping With Deep Reinforcement Learning.
IEEE Trans. Sustain. Comput.
Yiming Wang, Meng Hao, Hui He, Weizhe Zhang, Qiuyuan Tang, Xiaoyang Sun, Zheng Wang
2024 — conf
Fast Memory Disaggregation with SwiftSwap.
NPC (1)
Xiangwei Zhang, Desheng Wang, Weizhe Zhang, Zhiji Yu, Meng Hao
2024 J jnl
Model-Free GPU Online Energy Optimization.
IEEE Trans. Sustain. Comput.
Farui Wang, Meng Hao, Weizhe Zhang, Zheng Wang
2024 J jnl
Optimizing depthwise separable convolution on DCU.
CCF Trans. High Perform. Comput.
Zheng Liu, Meng Hao, Weizhe Zhang, Gangzhao Lu, Xueyang Tian, Siyu Yang, Mingdong Xie, Jie Dai, Chenyu Yuan, Desheng Wang, Hongwei Yang
2022 J jnl
Dynamic GPU Energy Optimization for Machine Learning Training Workloads.
CoRR
Farui Wang, Weizhe Zhang, Shichao Lai, Meng Hao, Zheng Wang
2022 J jnl
Dynamic GPU Energy Optimization for Machine Learning Training Workloads.
IEEE Trans. Parallel Distributed Syst.
Farui Wang, Weizhe Zhang, Shichao Lai, Meng Hao, Zheng Wang
2022 J jnl
Online Power Management for Multi-Cores: A Reinforcement Learning Based Approach.
IEEE Trans. Parallel Distributed Syst.
Yiming Wang, Weizhe Zhang, Meng Hao, Zheng Wang
2021 J jnl
Automatic translation of data parallel programs for heterogeneous parallelism through OpenMP offloading.
J. Supercomput.
Farui Wang, Weizhe Zhang, Haonan Guo, Meng Hao, Gangzhao Lu, Zheng Wang
2021 J jnl
Fine-Grained Powercap Allocation for Power-Constrained Systems Based on Multi-Objective Machine Learning.
IEEE Trans. Parallel Distributed Syst.
Meng Hao, Weizhe Zhang, Yiming Wang, Gangzhao Lu, Farui Wang, Athanasios V. Vasilakos
2019 J jnl
Automatic generation of benchmarks for I/O-intensive parallel applications.
J. Parallel Distributed Comput.
Meng Hao, Weizhe Zhang, You Zhang, Marc Snir, Laurence T. Yang
2019 — conf
Multi-Parameter Performance Modeling Based on Machine Learning with Basic Block Features.
ISPA/BDCloud/SocialCom/SustainCom
Meng Hao, Weizhe Zhang, Yiming Wang, Dong Li, Wen Xia, Hao Wang, Chen Lou
2019 — conf
PROFPRED: A Compiler-Level IR Based Performance Prediction Framework for MPI Industrial Applications.
HPCC/SmartCity/DSS
Meng Hao, Weizhe Zhang, Laurence Tianruo Yang
2017 J jnl
Predicting HPC parallel program performance based on LLVM compiler.
Clust. Comput.
Weizhe Zhang, Meng Hao, Marc Snir
2016 J jnl
Communication optimization for RDMA-based science data transmission tools.
J. Supercomput.
Weizhe Zhang, Meng Hao, Zhiyong Xu