OpenCL 2.0 Compiler Adaptation on LLVM for PTX Simulators. - Chun-Chieh Yang; Shao-Chung Wang; Min-Yih Hsu; Yuan-Ming Chang; Yuan-Shin Hwang; Jenq-Kuen Lee (ICPP Workshops, 2017)

Analyzing OpenCL 2.0 workloads using a heterogeneous CPU-GPU simulator. - Li Wang; Ren-Wei Tsai; Shao-Chung Wang; Kun-Chih Chen; Po-Han Wang 001; Hsiang-Yun Cheng; Yi-Chung Lee; Sheng-Jie Shu; Chun-Chieh Yang; Min-Yih Hsu; Li-Chen Kan; Chao-Lin Lee; et al. (ISPASS, 2017)

Enable the Flow for GPGPU-Sim Simulators with Fixed-Point Instructions. - Chao-Lin Lee; Min-Yih Hsu; Bing-Sung Lu; Jenq-Kuen Lee (ICPP Workshops, 2018)

Support OpenCL 2.0 Compiler on LLVM for PTX Simulators. - Chun-Chieh Yang; Shao-Chung Wang; Min-Yih Hsu; Yuan-Ming Chang; Yuan-Shin Hwang; Jenq-Kuen Lee (J. Signal Process. Syst., 2019)

Experiment and enabled flow for GPGPU-Sim simulators with fixed-point instructions. - Chao-Lin Lee; Min-Yih Hsu; Bing-Sung Lu; Ming-Yu Hung; Jenq-Kuen Lee (J. Syst. Archit., 2020)

Support NNEF execution model for NNAPI. - Yuan-Ming Chang; Chia-Yu Sung; Yu-Chien Sheu; Meng-Shiun Yu; Min-Yih Hsu; Jenq-Kuen Lee (J. Supercomput., 2021)

MCAD: Beyond Basic-Block Throughput Estimation Through Differential, Instruction-Level Tracing. - Min-Yih Hsu; David Gens; Michael Franz (CoRR, 2022)

DFI: An Interprocedural Value-Flow Analysis Framework that Scales to Large Codebases. - Min-Yih Hsu; Felicitas Hetzelt; Michael Franz (CoRR, 2022)

A Highly Scalable, Hybrid, Cross-Platform Timing Analysis Framework Providing Accurate Differential Throughput Estimation via Instruction-Level Tracing. - Min-Yih Hsu; Felicitas Hetzelt; David Gens; Michael Maitland; Michael Franz (ESEC/SIGSOFT FSE, 2023)

Efficient Program Analyses that Scale to Large Codebases - Min-Yih Hsu (2023)