Tsung Tai Yeh

21 papers A* 6A 1B 3Misc 2Journal 6Unranked 3
YearRankTypeTitle / Venue / Authors
2025 A* conf
AQB8: Energy-Efficient Ray Tracing Accelerator through Multi-Level Quantization.
ISCA
Yen-Chieh Huang, Chen-Pin Yang, Tsung Tai Yeh
2025 A* conf
EDA: Energy-Efficient Inter-Layer Model Compilation for Edge DNN Inference Acceleration.
HPCA
Bo Ren Pao, I-Chia Chen, En-Hao Chang, Tsung Tai Yeh
2025 J jnl
StreamNet++: Memory-Efficient Streaming TinyML Model Compilation on Microcontrollers.
ACM Trans. Embed. Comput. Syst.
Chen-Fong Hsu, Hong-Sheng Zheng, Yu-Yuan Liu, Tsung Tai Yeh
2024 A conf
OC-DLRM: Minimizing the I/O Traffic of DLRM Between Main Memory and OCSSD.
DATE
Shang-Hung Ti, Tseng-Yi Chen, Tsung Tai Yeh, Shuo-Han Chen, Yu-Pei Liang
2024 J jnl
ReSA: Reconfigurable Systolic Array for Multiple Tiny DNN Tensors.
ACM Trans. Archit. Code Optim.
Ching-Jui Lee, Tsung Tai Yeh
2024 A* conf
TinyTS: Memory-Efficient TinyML Model Compiler Framework on Microcontrollers.
HPCA
Yu-Yuan Liu, Hong-Sheng Zheng, Yu Fang Hu, Chen-Fong Hsu, Tsung Tai Yeh
2024 B conf
WER: Maximizing Parallelism of Irregular Graph Applications Through GPU Warp EqualizeR.
ASPDAC
En-Ming Huang, Bo-Wun Cheng, Meng-Hsien Lin, Chun-Yi Lee, Tsung Tai Yeh
2023 — conf
COLAB: Collaborative and Efficient Processing of Replicated Cache Requests in GPU.
ASP-DAC
Bo-Wun Cheng, En-Ming Huang, Chen-Hao Chao, Wei-Fang Sun, Tsung Tai Yeh, Chun-Yi Lee
2023 A* conf
StreamNet: Memory-Efficient Streaming Tiny Deep Learning Inference on the Microcontroller.
NeurIPS
Hong-Sheng Zheng, Yu-Yuan Liu, Chen-Fong Hsu, Tsung Tai Yeh
2022 — conf
Lego: Dynamic Tensor-Splitting Multi-Tenant DNN Models on Multi-Chip-Module Architecture.
ISOCC
Zhou Yu Xuan, Ching-Jui Lee, Tsung Tai Yeh
2021 A* conf
Deadline-Aware Offloading for High-Throughput Accelerators.
HPCA
Tsung Tai Yeh, Matthew D. Sinclair, Bradford M. Beckmann, Timothy G. Rogers
2020 A* conf
Dimensionality-Aware Redundant SIMT Instruction Elimination.
ASPLOS
Tsung Tai Yeh, Roland N. Green, Timothy G. Rogers
2019 — conf
Optimizing GPU Cache Policies for MI Workloads.
IISWC
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
2019 J jnl
Optimizing GPU Cache Policies for MI Workloads.
CoRR
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
2019 J jnl
Pagoda: A GPU Runtime System for Narrow Tasks.
ACM Trans. Parallel Comput.
Tsung Tai Yeh, Amit Sabne, Putt Sakdhnagool, Rudolf Eigenmann, Timothy G. Rogers
2017 B conf
Pagoda: Fine-Grained GPU Resource Virtualization for Narrow Tasks.
PPoPP
Tsung Tai Yeh, Amit Sabne, Putt Sakdhnagool, Rudolf Eigenmann, Timothy G. Rogers
2016 B conf
POSTER: Pagoda: A Runtime System to Maximize GPU Utilization in Data Parallel Tasks with Limited Parallelism.
PACT
Tsung Tai Yeh, Amit Sabne, Putt Sakdhnagool, Rudolf Eigenmann, Timothy G. Rogers
2015 J jnl
An Energy-Efficient and Reliable Storage Mechanism for Data-Intensive Academic Archive Systems.
ACM Trans. Storage
Tseng-Yi Chen, Hsin-Wen Wei, Tsung Tai Yeh, Tsan-sheng Hsu, Wei-Kuan Shih
2012 Misc conf
CacheRAID: An Efficient Adaptive Write Cache Policy to Conserve RAID Disk Array Energy.
UCC
Tseng-Yi Chen, Tsung Tai Yeh, Hsin-Wen Wei, Yu-Xun Fang, Wei-Kuan Shih, Tsan-sheng Hsu
2011 J jnl
Parallel non-linear dimension reduction algorithm on GPU.
Int. J. Granul. Comput. Rough Sets Intell. Syst.
Tsung Tai Yeh, Tseng-Yi Chen, Yen-Chiu Chen, Hsin-Wen Wei
2010 Misc conf
Efficient Parallel Algorithm for Nonlinear Dimensionality Reduction on GPU.
GrC
Tsung Tai Yeh, Tseng-Yi Chen, Yen-Chiu Chen, Wei-Kuan Shih