About
Shizhi Tang is a researcher affiliated with Tsinghua University in China. His work focuses on domain-specific languages (DSLs) for high-performance computing, particularly in tensor programming optimization and numerical methods for partial differential equations. He has contributed to top-tier conferences including SPLASH, CGO, PLDI, and PPoPP.
Research Highlights:
- Developed Mat2Stencil, a modular DSL for efficient PDE solvers on structured grids.
- Created IntelliGen, a tensor program auto-tuning framework with memory optimization.
Conference Involvement:
- 2023 SPLASH (OOPSLA track)
- 2025 CGO (Main conference track)
- 2022 PLDI and PPoPP (Main conference track)
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