Context

The SGEMM Optimization project needed a structured approach to implement five progressive kernel optimizations while building supporting infrastructure for testing, benchmarking, and documentation.

Goals / Non-Goals

Goals

  • Deliver five kernel implementations with progressive optimization
  • Build comprehensive test coverage
  • Establish CI/CD automation
  • Create bilingual documentation

Non-Goals

  • Production deployment
  • Performance optimization beyond Tensor Core
  • Multi-GPU support

Decisions

Seven-Phase Implementation

Phase Focus Status
1 Project Infrastructure ✅ Complete
2 Kernel Implementation (5 kernels) ✅ Complete
3 Utility Infrastructure ✅ Complete
4 Testing Suite ✅ Complete
5 Build System & CI/CD ✅ Complete
6 Documentation ✅ Complete
7 Code Quality & Refinement ✅ Complete

Kernel Development Sequence

  1. Naive - Baseline triple-loop implementation
  2. Tiled - Shared memory blocking
  3. Bank-Free - Bank conflict elimination
  4. Double-Buffer - Compute/memory overlap
  5. Tensor Core - WMMA API acceleration

Version Milestones

Version Milestone
1.0.0 Project Initialization
2.0.0-rc.1 Memory Leak Fixes (RAII)
2.0.0-rc.2 GitHub Pages
2.0.0 Stable Release
2.1.0 Documentation & Code Cleanup

Risks / Trade-offs

Risk Mitigation
Scope creep with additional optimizations Defined clear 5-kernel scope
Documentation falling behind Dedicated Phase 6 for documentation
Code quality issues Phase 7 for RAII refactoring and dead code cleanup