Tsung Tai Yeh

According to our database, Tsung Tai Yeh authored at least 15 papers between 2010 and 2024.

Collaborative distances:

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

2024

TinyTS: Memory-Efficient TinyML Model Compiler Framework on Microcontrollers.

Yu-Yuan Liu, Hong-Sheng Zheng, Yu Fang Hu, Chen-Fong Hsu, Tsung Tai Yeh

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

2023

StreamNet: Memory-Efficient Streaming Tiny Deep Learning Inference on the Microcontroller.

Hong-Sheng Zheng, Yu-Yuan Liu, Chen-Fong Hsu, Tsung Tai Yeh

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

COLAB: Collaborative and Efficient Processing of Replicated Cache Requests in GPU.

Bo-Wun Cheng, En-Ming Huang, Chen-Hao Chao, Wei-Fang Sun, Tsung Tai Yeh, Chun-Yi Lee

Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

2022

Lego: Dynamic Tensor-Splitting Multi-Tenant DNN Models on Multi-Chip-Module Architecture.

Zhou Yu Xuan, Ching-Jui Lee, Tsung Tai Yeh

Proceedings of the 19th International SoC Design Conference, 2022

2021

Deadline-Aware Offloading for High-Throughput Accelerators.

Tsung Tai Yeh, Matthew D. Sinclair, Bradford M. Beckmann, Timothy G. Rogers

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021

2020

Dimensionality-Aware Redundant SIMT Instruction Elimination.

Tsung Tai Yeh, Roland N. Green, Timothy G. Rogers

Proceedings of the ASPLOS '20: Architectural Support for Programming Languages and Operating Systems, 2020

2019

Pagoda: A GPU Runtime System for Narrow Tasks.

Tsung Tai Yeh, Amit Sabne, Putt Sakdhnagool, Rudolf Eigenmann, Timothy G. Rogers

ACM Trans. Parallel Comput., 2019

Optimizing GPU Cache Policies for MI Workloads.

Johnathan Alsop, Matthew D. Sinclair, Srikant Bharadwaj, Alexandru Dutu, Anthony Gutierrez, Onur Kayiran, Michael LeBeane, Sooraj Puthoor, Xianwei Zhang, Tsung Tai Yeh, Bradford M. Beckmann

CoRR, 2019

Optimizing GPU Cache Policies for MI Workloads.

Johnathan Alsop, Xianwei Zhang, Tsung Tai Yeh, Bradford M. Beckmann, Matthew D. Sinclair, Srikant Bharadwaj, Alexandru Dutu, Anthony Gutierrez, Onur Kayiran, Michael LeBeane, Brandon Potter, Sooraj Puthoor

Proceedings of the IEEE International Symposium on Workload Characterization, 2019

2017

Pagoda: Fine-Grained GPU Resource Virtualization for Narrow Tasks.

Tsung Tai Yeh, Amit Sabne, Putt Sakdhnagool, Rudolf Eigenmann, Timothy G. Rogers

Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2017

2016

POSTER: Pagoda: A Runtime System to Maximize GPU Utilization in Data Parallel Tasks with Limited Parallelism.

Tsung Tai Yeh, Amit Sabne, Putt Sakdhnagool, Rudolf Eigenmann, Timothy G. Rogers

Proceedings of the 2016 International Conference on Parallel Architectures and Compilation, 2016

2015

An Energy-Efficient and Reliable Storage Mechanism for Data-Intensive Academic Archive Systems.

Tseng-Yi Chen, Hsin-Wen Wei, Tsung Tai Yeh, Tsan-sheng Hsu, Wei-Kuan Shih

ACM Trans. Storage, 2015

2012

CacheRAID: An Efficient Adaptive Write Cache Policy to Conserve RAID Disk Array Energy.

Tseng-Yi Chen, Tsung Tai Yeh, Hsin-Wen Wei, Yu-Xun Fang, Wei-Kuan Shih, Tsan-sheng Hsu

Proceedings of the IEEE Fifth International Conference on Utility and Cloud Computing, 2012

2011

Parallel non-linear dimension reduction algorithm on GPU.

Tsung Tai Yeh, Tseng-Yi Chen, Yen-Chiu Chen, Hsin-Wen Wei

Int. J. Granul. Comput. Rough Sets Intell. Syst., 2011

2010

Efficient Parallel Algorithm for Nonlinear Dimensionality Reduction on GPU.

Tsung Tai Yeh, Tseng-Yi Chen, Yen-Chiu Chen, Wei-Kuan Shih

Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010