CUDA SGEMM WHITEPAPER · ARCHITECTURE SITE · KERNEL ACADEMY
This site is built for interviewers and advanced GitHub readers who care about more than “one fast kernel”. It frames the repository as a chain of architectural claims, optimization decisions, validation boundaries, and research lineage. Read it as a whitepaper first, then as an academy.
The public narrative is organized like a technical argument: thesis, architecture, academy, proof, then lineage.
Open the guide first, then jump to architecture if you need the system story behind the summary.
Start with the ladder and memory model before opening the academy pages that inspect each stage in detail.
Use validation when you want the correctness policy, benchmark scope, and reproducibility boundary before trusting any number.
Use the research desk for papers, related repositories, and notes on how this project’s current shape emerged.
| Surface | What it answers | Why it exists |
|---|---|---|
| Overview | What is this project, why does it matter, how should I read it? | Gives reviewers and new readers one decisive orientation surface. |
| Architecture | How is the SGEMM system structured, and what are its core invariants? | Turns implementation detail into a defendable system map. |
| Academy | How do I study the optimization ladder in a rigorous order? | Packages the repository as a curriculum, not a pile of notes. |
| Validation | What can the evidence prove, and what can it not prove? | Keeps the project technically honest. |
| Research | Where do these ideas come from, and what should I compare against? | Adds academic and comparative depth. |
The ladder is not a trophy rack. It is a map of bottleneck shifts, interface constraints, and evidence requirements.