Efficient Parallel Algorithm for Nonlinear Dimensionality Reduction on GPU. - Tsung Tai Yeh; Tseng-Yi Chen; Yen-Chiu Chen; Wei-Kuan Shih (GrC, 2010)

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)

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 (UCC, 2012)

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)

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 (PACT, 2016)

Pagoda: Fine-Grained GPU Resource Virtualization for Narrow Tasks. - Tsung Tai Yeh; Amit Sabne; Putt Sakdhnagool; Rudolf Eigenmann; Timothy G. Rogers (PPoPP, 2017)

Optimizing GPU Cache Policies for MI Workloads. - Johnathan Alsop; Xianwei Zhang 001; Tsung Tai Yeh; Bradford M. Beckmann; Matthew D. Sinclair; Srikant Bharadwaj; Alexandru Dutu; Anthony Gutierrez; Onur Kayiran; Michael LeBeane; Brandon Potter; Sooraj Puthoor (IISWC, 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 001; Tsung Tai Yeh; Bradford M. Beckmann (CoRR, 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)

Dimensionality-Aware Redundant SIMT Instruction Elimination. - Tsung Tai Yeh; Roland N. Green; Timothy G. Rogers (ASPLOS, 2020)

Deadline-Aware Offloading for High-Throughput Accelerators. - Tsung Tai Yeh; Matthew D. Sinclair; Bradford M. Beckmann; Timothy G. Rogers (HPCA, 2021)

Lego: Dynamic Tensor-Splitting Multi-Tenant DNN Models on Multi-Chip-Module Architecture. - Zhou Yu Xuan; Ching-Jui Lee; Tsung Tai Yeh (ISOCC, 2022)

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 (ASP-DAC, 2023)

StreamNet: Memory-Efficient Streaming Tiny Deep Learning Inference on the Microcontroller. - Hong-Sheng Zheng; Yu-Yuan Liu; Chen-Fong Hsu; Tsung Tai Yeh (NeurIPS, 2023)

WER: Maximizing Parallelism of Irregular Graph Applications Through GPU Warp EqualizeR. - En-Ming Huang; Bo-Wun Cheng; Meng-Hsien Lin; Chun-Yi Lee; Tsung Tai Yeh (ASPDAC, 2024)

OC-DLRM: Minimizing the I/O Traffic of DLRM Between Main Memory and OCSSD. - Shang-Hung Ti; Tseng-Yi Chen; Tsung Tai Yeh; Shuo-Han Chen; Yu-Pei Liang (DATE, 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 (HPCA, 2024)

ReSA: Reconfigurable Systolic Array for Multiple Tiny DNN Tensors. - Ching-Jui Lee; Tsung Tai Yeh (ACM Trans. Archit. Code Optim., 2024)

EDA: Energy-Efficient Inter-Layer Model Compilation for Edge DNN Inference Acceleration. - Bo Ren Pao; I-Chia Chen; En-Hao Chang; Tsung Tai Yeh (HPCA, 2025)

AQB8: Energy-Efficient Ray Tracing Accelerator through Multi-Level Quantization. - Yen-Chieh Huang; Chen-Pin Yang; Tsung Tai Yeh (ISCA, 2025)

StreamNet++: Memory-Efficient Streaming TinyML Model Compilation on Microcontrollers. - Chen-Fong Hsu; Hong-Sheng Zheng; Yu-Yuan Liu; Tsung Tai Yeh (ACM Trans. Embed. Comput. Syst., 2025)