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2020 – today
- 2024
[j21]Chun-Ting Wu
, Shao-Hua Wang, Chia-Heng Tu:
A Simulation Framework for Prototyping Intelligent Vehicle-to-Infrastructure Applications: A Case Study on RSU-Based Intersection Movement Assist for Connected Autonomous Vehicles. IEEE Access 12: 82584-82598 (2024)- [j20]Nai-Wei Hsu, Chuan-Chi Wang, Chia-Hsin Hsu, Chia-Heng Tu, Shih-Hao Hung:
Toward cost-effective quantum circuit simulation with performance tuning techniques. Connect. Sci. 36(1) (2024) - [j19]Yu-Ting Wang, Ting-Yu Lin, Sok-Ian Sou, Lo-An Chen, Meng-Hsun Tsai, Yean-Ru Chen, Chia-Heng Tu:
Markov Clustering-Based Content Placement in Roadside-Unit Caching With Deadline Constraint. IEEE Trans. Intell. Transp. Syst. 25(9): 11881-11892 (2024) - [c52]Chun-Ting Wu, Yung-Jen Hsu, Chia-Heng Tu, Shao-Hua Wang:
Traffic Signal Preemption and Prioritization for High-Density Road Networks. SAC 2024: 410-419 - [c51]Yu-Cheng Lin, Chuan-Chi Wang, Chia-Heng Tu, Shih-Hao Hung:
Towards Optimizations of Quantum Circuit Simulation for Solving Max-Cut Problems with QAOA. SAC 2024: 1487-1494 - [i4]Chuan-Chi Wang, Yu-Cheng Lin, Yan-Jie Wang, Chia-Heng Tu, Shih-Hao Hung:
Queen: A quick, scalable, and comprehensive quantum circuit simulation for supercomputing. CoRR abs/2406.14084 (2024) - 2023
- [j18]Po-Hsuan Huang, Chia-Heng Tu, Shen-Ming Chung, Pei-Yuan Wu, Tung-Lin Tsai, Yi-An Lin, Chun-Yi Dai, Tzu-Yi Liao:
SecureTVM: A TVM-based Compiler Framework for Selective Privacy-preserving Neural Inference. ACM Trans. Design Autom. Electr. Syst. 28(4): 61:1-61:28 (2023) - [c50]Hao-Jan Huang, Wen Sheng Lim, Chia-Heng Tu, Chun-Feng Wu, Yuan-Hao Chang:
Data Freshness Optimization on Networked Intermittent Systems. DATE 2023: 1-6 - [c49]Shu-Ting Cheng, Wen Sheng Lim, Chia-Heng Tu, Yuan-Hao Chang:
TRAIN: A Reinforcement Learning Based Timing-Aware Neural Inference on Intermittent Systems. ICCAD 2023: 1-9 - [c48]Qihui Sun, Mei-Lan Lin, Chia-Heng Tu:
Designing Multi-Class Classifiers for Sub-mA Microcontroller Platforms. ICCE-Taiwan 2023: 131-132 - [c47]Qihui Sun, Chia-Heng Tu:
Energy Aware Collaborative Machine Learning on Energy-Harvesting Devices. ICCE-Taiwan 2023: 179-180 - [c46]Yu-Tsung Wu, Po-Hsuan Huang, Chia-Heng Tu, Shih-Hao Hung:
A Profiling Guided Optimization Scheme for Accelerating Quantum Simulations. ICCE-Taiwan 2023: 497-498 - [c45]Chia-Hsin Hsu, Chuan-Chi Wang, Nai-Wei Hsu, Chia-Heng Tu, Shih-Hao Hung:
Towards Scalable Quantum Circuit Simulation via RDMA. RACS 2023: 3:1-3:8 - [c44]Tsung-Yen Wang, Shao-Hua Wang, Chia-Heng Tu, Wen-Yew Liang:
CAT: Context Aware Tracing for Rust Asynchronous Programs. SAC 2023: 483-492 - [i3]Yu-Cheng Lin, Chuan-Chi Wang, Chia-Heng Tu, Shih-Hao Hung:
Towards Optimizations of Quantum Circuit Simulation for Solving Max-Cut Problems with QAOA. CoRR abs/2312.03019 (2023) - 2022
- [j17]Shao-Hua Wang, Chia-Heng Tu, Jyh-Ching Juang:
Automatic traffic modelling for creating digital twins to facilitate autonomous vehicle development. Connect. Sci. 34(1): 1018-1037 (2022) - [j16]Po-Hsuan Huang, Ting-Wei Chang, Chia-Heng Tu, Shen-Ming Chung:
POPS: an off-peak precomputing scheme for privacy-preserving computing. J. Supercomput. 78(15): 16841-16860 (2022) - [c43]Shao-Hua Wang, Chun-Ting Wu, Chia-Heng Tu, Jyh-Ching Juang, Tsung-Ming Hsu:
Automated Bus Rapid Transit System Development with 3D Simulations. ICCE-TW 2022: 373-374 - [c42]Shao-Hua Wang, Chia-Heng Tu, Ching-Chun Jim Huang, Jyh-Ching Juang:
Execution Flow Aware Profiling for ROS-based Autonomous Vehicle Software. ICPP Workshops 2022: 13:1-13:7 - [c41]Yu-Cheng Cheng, Ching-Chun Jim Huang, Chia-Heng Tu:
ESCA: Effective System Call Aggregation for Event-Driven Servers. PDP 2022: 18-25 - [c40]Shao-Hua Wang, Wei-Liang Yiu, Chia-Heng Tu, Da-Wei Chang, Wei-Hsun Lee:
A software framework of roadside units for traffic condition perception and broadcast. RACS 2022: 1-8 - [c39]Chuan-Chi Wang, Chia-Heng Tu, Ming-Chang Kao, Shih-Hao Hung:
TensorHE: a homomorphic encryption transformer for privacy-preserving deep learning. RACS 2022: 124-130 - [c38]Zi-Jie Lin, Chuan-Chi Wang, Chia-Heng Tu, Shih-Hao Hung:
Performance Acceleration of Secure Machine Learning Computations for Edge Applications. RTCSA 2022: 138-147 - [c37]Chuan-Chi Wang, Chun-Yen Ho, Chia-Heng Tu, Shih-Hao Hung:
cuPSO: GPU parallelization for particle swarm optimization algorithms. SAC 2022: 1183-1189 - [i2]Chuan-Chi Wang, Chun-Yen Ho, Chia-Heng Tu, Shih-Hao Hung:
cuPSO: GPU Parallelization for Particle Swarm Optimization Algorithms. CoRR abs/2205.01313 (2022) - 2021
- [j15]Wen Sheng Lim, Chia-Heng Tu, Chun-Feng Wu, Yuan-Hao Chang:
iCheck: Progressive Checkpointing for Intermittent Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(11): 2224-2236 (2021) - [j14]Chia-Heng Tu, Qihui Sun, Hsiao-Hsuan Chang:
RAP: A Software Framework of Developing Convolutional Neural Networks for Resource-constrained Devices Using Environmental Monitoring as a Case Study. ACM Trans. Cyber Phys. Syst. 5(4): 43:1-43:28 (2021) - [j13]Chia-Heng Tu, Qihui Sun, Mu-Hsuan Cheng:
On designing the adaptive computation framework of distributed deep learning models for Internet-of-Things applications. J. Supercomput. 77(11): 13191-13223 (2021) - [c36]Po-Hsuan Huang, Chia-Heng Tu, Shen-Ming Chung:
TONIC: towards oblivious neural inference compiler. SAC 2021: 491-500 - 2020
- [j12]Shen-Ming Chung, Ming-Der Shieh, Tzi-Cker Chiueh, Chia-Chia Liu, Chia-Heng Tu:
uFETCH: A Unified Searchable Encryption Scheme and Its Saas-Native to Make DBMS Privacy-Preserving. IEEE Access 8: 93894-93906 (2020) - [c35]Ying-Chiao Liao, Chuan-Chi Wang, Chia-Heng Tu, Ming-Chang Kao, Wen-Yew Liang, Shih-Hao Hung:
PerfNetRT: Platform-Aware Performance Modeling for Optimized Deep Neural Networks. ICS 2020: 153-158 - [c34]Shao-Hua Wang, Chen-Xuan Lin, Chia-Heng Tu, Ching-Chun Jim Huang, Jyh-Ching Juang:
Autonomous Vehicle Simulation for Asia Urban Areas with a Perspective from Education. ICS 2020: 454-458 - [i1]Chuan-Chi Wang, Ying-Chiao Liao, Chia-Heng Tu, Ming-Chang Kao, Wen-Yew Liang, Shih-Hao Hung:
ResPerfNet: Deep Residual Learning for Regressional Performance Modeling of Deep Neural Networks. CoRR abs/2012.01671 (2020)
2010 – 2019
- 2019
- [j11]Chia-Heng Tu, Te-Sheng Lin:
Augmenting Operating Systems with OpenCL Accelerators. ACM Trans. Design Autom. Electr. Syst. 24(3): 30:1-30:29 (2019) - [j10]Shih-Wei Liao, Shao-Yun Kuang, Chia-Lung Kao, Chia-Heng Tu:
A Halide-based Synergistic Computing Framework for Heterogeneous Systems. J. Signal Process. Syst. 91(3-4): 219-233 (2019) - [j9]Yuan-Shin Hwang, Hsih-Hsin Lin, Shen-Hung Pai, Chia-Heng Tu:
GPUBlocks: GUI Programming Tool for CUDA and OpenCL. J. Signal Process. Syst. 91(3-4): 235-245 (2019) - [j8]Chih Wei Yeh, Chia-Heng Tu, Shih-Hao Hung:
Rapid Hybrid Simulation Methods for Exploring the Design Space of Signal Processors with Dynamic and Scalable Timing Models. J. Signal Process. Syst. 91(3-4): 247-259 (2019) - [c33]Yi-Hong Lyu, Cheng-Yueh Liu, Chen-Pang Lee, Chia-Heng Tu, Shih-Hao Hung:
Modeling Interprocessor Communication and Performance Scalability for Distributed Deep Learning Systems. HPCS 2019: 169-176 - 2018
- [c32]Cheng-Yueh Liu, Po-Yao Huang, Chia-Heng Tu, Shih-Hao Hung:
A Fast and Scalable Cluster Simulator for Network Performance Projection of HPC Applications. HPCS 2018: 970-977 - [c31]Pei-Jen Wang, Cheng-Yueh Liu, Chia-Heng Tu, Chen-Pang Lee, Shih-Hao Hung:
Acceleration of Monte-Carlo simulation on high performance computing platforms. RACS 2018: 225-230 - [c30]Mu-Hsuan Cheng, Qihui Sun, Chia-Heng Tu:
An Adaptive Computation Framework of Distributed Deep Learning Models for Internet-of-Things Applications. RTCSA 2018: 85-91 - [c29]Chih Wei Yeh, Chia-Heng Tu, Yi-Chuan Liang, Shih-Hao Hung:
Phase-Based Profiling and Performance Prediction with Timing Approximate Simulators. RTCSA 2018: 101-110 - [c28]Po-Chun Huang, Yuan-Hao Chang, Tseng-Yi Chen, Chia-Heng Tu, Chun Chen, Hsin-Wen Wei, Wei-Kuan Shih:
Performance optimization of heterogeneous cloud storage with bandwidth & capacity considerations. SAC 2018: 210-213 - 2017
- [j7]Cheng-Kung Lai, Chih Wei Yeh, Chia-Heng Tu, Shih-Hao Hung:
Fast profiling framework and race detection for heterogeneous system. J. Syst. Archit. 81: 83-91 (2017) - [c27]Tsung-Han Chiang, Cheng-Yueh Liu, Chih Wei Yeh, Chia-Heng Tu, Shih-Hao Hung:
Program Analysis with a Loop-Function-based Tracing Tool on Virtual Platforms. RACS 2017: 255-260 - [c26]Wei-Cheng Lin, Chia-Heng Tu, Chih Wei Yeh, Shih-Hao Hung:
GPU acceleration for Kernel Samepage Merging. RTCSA 2017: 1-6 - 2016
- [c25]Wei-Lin Wang, Yuan-Hao Chang, Po-Chun Huang, Chia-Heng Tu, Hsin-Wen Wei, Wei-Kuan Shih:
Relay-based key management to support secure deletion for resource-constrained flash-memory storage devices. ASP-DAC 2016: 444-449 - [c24]Shih-Hao Hung, Min-Yu Tsai, Bo-Yi Huang, Chia-Heng Tu:
A Platform-Oblivious Approach for Heterogeneous Computing: A Case Study with Monte Carlo-based Simulation for Medical Applications. FPGA 2016: 42-47 - [c23]Yi-Wei Chen, Shih-Hao Hung, Chia-Heng Tu, Chih Wei Yeh:
Virtual Hadoop: MapReduce over Docker Containers with an Auto-Scaling Mechanism for Heterogeneous Environments. RACS 2016: 201-206 - 2015
- [c22]Hsih-Hsin Lin, Chia-Heng Tu, Yuan-Shin Hwang:
CUDABlock: A GUI Programming Tool for CUDA. ICPP Workshops 2015: 37-42 - [c21]Tai-Lun Tseng, Shih-Hao Hung, Chia-Heng Tu:
Migratom.js: a JavaScript migration framework for distributed web computing and mobile devices. SAC 2015: 798-801 - [c20]Sheng-Wei Cheng, Che-Wei Chang, Yuan-Hao Chang, Pi-Cheng Hsiu, Chia-Heng Tu:
The deployment of shared data objects among handheld and wearable devices. SAC 2015: 2245-2251 - 2014
- [j6]Shih-Hao Hung, Tien-Tzong Tzeng, Jyun-De Wu, Min-Yu Tsai, Yi-Chih Lu, Jeng-Peng Shieh, Chia-Heng Tu, Wen-Jen Ho:
MobileFBP: Designing portable reconfigurable applications for heterogeneous systems. J. Syst. Archit. 60(1): 40-51 (2014) - [j5]Chia-Heng Tu, Hui-Hsin Hsu, Jen-Hao Chen, Chun-Han Chen, Shih-Hao Hung:
Performance and power profiling for emulated Android systems. ACM Trans. Design Autom. Electr. Syst. 19(2): 10:1-10:25 (2014) - [j4]Shih-Hao Hung, Po-Hsun Chiu, Chia-Heng Tu, Wei-Ting Chou, Wen-Long Yang:
Message-Passing Programming for Embedded Multicore Signal-Processing Platforms. J. Signal Process. Syst. 75(2): 123-139 (2014) - [c19]Ming-Chang Yang, Yuan-Hung Kuan, Yuan-Hao Chang, Pei-Lun Suei, Chia-Heng Tu, Norman Chang:
Bad page relaxation to prolong the lifetime of flash devices. GCCE 2014: 715-716 - [c18]Shih-Hao Hung, Jen-Hao Chen, Chia-Heng Tu, Jeng-Peng Shieh, Roger Chien:
Exploring the Design Space for Android Smartphones. IMIS 2014: 215-222 - 2013
- [c17]Shih-Hao Hung, Fu-Tien Liang, Chia-Heng Tu, Norman Chang:
Performance and Power Estimation for Mobile-Cloud Applications on Virtualized Platforms. IMIS 2013: 260-267 - 2012
- [j3]Chia-Heng Tu, Shih-Hao Hung, Tung-Chieh Tsai:
MCEmu: A Framework for Software Development and Performance Analysis of Multicore Systems. ACM Trans. Design Autom. Electr. Syst. 17(4): 36:1-36:25 (2012) - [c16]Shih-Hao Hung, Tei-Wei Kuo, Chi-Sheng Shih, Chia-Heng Tu:
System-wide profiling and optimization with virtual machines. ASP-DAC 2012: 395-400 - [c15]Shih-Hao Hung, Chi-Sheng Shih, Tei-Wei Kuo, Chia-Heng Tu, Che-Wei Chang:
A real-time, energy-efficient system software suite for heterogeneous multicore platforms. CODES+ISSS 2012: 23-32 - [c14]Shih-Hao Hung, Po-Hsun Chiu, Chia-Heng Tu, Wei-Ting Chou, Wen-Long Yang:
On the Portability and Performance of Message-Passing Programs on Embedded Multicore Platforms. IPDPS Workshops 2012: 896-903 - [c13]Shih-Hao Hung, Chun-Han Chen, Chia-Heng Tu:
Performance evaluation of machine-to-machine (M2M) systems with virtual machines. WPMC 2012: 159-163 - 2011
- [j2]Shih-Hao Hung, Chia-Heng Tu, Wen-Long Yang:
A portable, efficient inter-core communication scheme for embedded multicore platforms. J. Syst. Archit. 57(2): 193-205 (2011) - 2010
- [j1]Nei-Chiung Perng, Shih-Hao Hung, Chia-Heng Tu:
Task Scheduling for Context Minimization in Dynamically Reconfigurable Platforms. J. Signal Process. Syst. 59(1): 3-12 (2010) - [c12]Wen-Chang Hsu, Shih-Hao Hung, Chia-Heng Tu:
A Virtual Timing Device for Program Performance Analysis. CIT 2010: 2255-2260 - [c11]Shih-Hao Hung, Chia-Heng Tu, Thean-Siew Soon:
Trace-based performance analysis framework for heterogeneous multicore systems. ASP-DAC 2010: 19-24 - [c10]Yun-Hung Liaw, Shih-Hao Hung, Chia-Heng Tu:
V2X: An Automated Tool for Building SystemC-Based Simulation Environments in Designing Multicore Systems-on-Chips. ISPA 2010: 413-418 - [c9]Shih-Hao Hung, Wen-Long Yang, Chia-Heng Tu:
Designing and Implementing a Portable, Efficient Inter-core Communication Scheme for Embedded Multicore Platforms. RTCSA 2010: 303-308
2000 – 2009
- 2009
- [c8]Shih-Hao Hung, Chia-Heng Tu, Huang-Sen Lin, Chi-Meng Chen:
An Automatic Compiler Optimizations Selection Framework for Embedded Applications. ICESS 2009: 381-387 - [c7]Shih-wei Liao, Tzu-Han Hung, Donald Nguyen, Hucheng Zhou, Chinyen Chou, Chia-Heng Tu:
Prefetch optimizations on large-scale applications via parameter value prediction. ICS 2009: 519-520 - [c6]Yu-Hsien Lin, Chia-Heng Tu, Chi-Sheng Shih, Shih-Hao Hung:
Zero-Buffer Inter-core Process Communication Protocol for Heterogeneous Multi-core Platforms. RTCSA 2009: 69-78 - [c5]Shih-wei Liao, Tzu-Han Hung, Donald Nguyen, Chinyen Chou, Chia-Heng Tu, Hucheng Zhou:
Machine learning-based prefetch optimization for data center applications. SC 2009 - 2008
- [c4]Shih-Hao Hung, Chien-Cheng Wu, Chia-Heng Tu:
Optimizing the Embedded Caching and Prefetching Software on a Network-Attached Storage System. EUC (1) 2008: 152-161 - [c3]Shih-Hao Hung, Shu-Jheng Huang, Chia-Heng Tu:
New Tracing and Performance Analysis Techniques for Embedded Applications. RTCSA 2008: 143-152 - 2007
- [c2]Shih-Wei Liao, Shih-Hao Hung, Chia-Heng Tu, Jen-Hao Chen:
Scalable Lossless High Definition Image Coding on Multicore Platforms. EUC 2007: 742-753 - 2005
- [c1]Hung-Hsiang Lin, Chia-Heng Tu, Yuan-Shin Hwang:
Dynamic Load-Balancing of Jini Services with Smart Proxies. PDPTA 2005: 721-726
Coauthor Index
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last updated on 2024-10-01 21:42 CEST by the dblp team
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