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Caveman.work Technical Documentation

Systematic machine learning technical documentation with in-depth analysis of core algorithms and implementation principles.

📖 Technical Documentation

Attention Mechanism Optimization

FlashAttention: Fast and Memory-Efficient Exact Attention

Last Updated: December 2024

In-depth analysis of core optimization techniques in FlashAttention and FlashAttention-2:

  • Tiling Optimization: Reducing memory access through block-wise computation
  • Warp Partitioning: Workload distribution based on GPU parallel architecture
  • Memory Hierarchy Optimization: Access optimization strategies from HBM to SRAM
  • Mathematical Equivalence: Optimizing implementation while maintaining algorithm correctness

📝 Update Log

Date Type Article Description
Dec 2024 Added FlashAttention Technical Analysis Detailed analysis of Tiling optimization principles, Warp partitioning techniques, complete mathematical derivations and implementation details, includes analogical analysis with Tile-Based Rendering

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