Personal Conduct
Personal Conduct
Jifeng Wu's Personal Website
Personal Digital Governance Policy
The document explains how my digital artifacts and platforms should be organized, disclosed, and handled if I die or become incapacitated.
Managing Development Environments with conda, nvm, and rustup
Modern development often requires more than just installing one language runtime globally and calling it a day. Installing everything system-wide quickly becomes messy, hard to reproduce, and annoying
Learning MLIR and HLO by Building a Tiny StableHLO-to-LLVM IR Compiler
This project explored how to lower machine-learning-oriented IR into low-level compiler IR by building a small MLIR-based compiler. The tool reads StableHLO MLIR, applies a sequence of lowering and cl
Exporting Compute Graphs, LLM Shape Dynamics, and Serving Runtimes
Why CNNs export to one graph while LLMs need many, how Hugging Face hides this complexity through eager execution, and why vLLM-style systems act as specialized inference operating systems rather than
Schedules in Machine Learning Computation: What They Are and Who Needs to Know About Them
A schedule is the plan for how a computation is executed efficiently on hardware. This post maps out the schedule-specification spectrum across ML frameworks, explains who needs to care about scheduli