Mojo SIMD Analyzer

소개

The analyze-simd-usage skill is designed for Mojo developers looking to squeeze every bit of performance out of their machine learning models and data-intensive applications. By scanning codebase patterns, it identifies loops and element-wise operations that are candidates for Single Instruction Multiple Data (SIMD) vectorization. It provides detailed guidance on utilizing decorators like @vectorize and @unroll, selecting hardware-appropriate SIMD widths, and implementing manual load/store operations to achieve 4x to 16x speed improvements in critical code paths.

주요 기능

• Identification of performance-critical code hotspots
• Automated loop vectorizability assessment
• Pattern matching for element-wise tensor operations
• 12 GitHub stars
• Hardware-specific SIMD width recommendations
• Implementation guidance for @vectorize and @unroll

사용 사례

• Identifying non-vectorizable dependencies that hinder performance
• Converting scalar array operations to vectorized SIMD implementations
• Optimizing machine learning training loops for faster execution