Expand description
Cache-Friendly Matrix Layouts and Performance Optimizations
This module provides optimized matrix layouts and algorithms designed to maximize CPU cache efficiency. These optimizations can provide significant performance improvements, especially for large matrices and memory-bound operations.
Features:
- Cache-friendly data structures with optimal memory alignment
- Tiled and blocked matrix algorithms for improved cache locality
- Memory prefetching and access pattern optimization
- NUMA-aware memory allocation and processing
- Loop optimization and vectorization hints
- Performance profiling and cache miss analysis
Structs§
- Aligned
Matrix - Cache-friendly matrix storage with aligned memory
- Cache
Analysis - Cache analysis results
- Cache
Miss Estimate - Cache miss estimation
- Cache
Optimization Config - Configuration for cache optimization
- Cache
Performance Analyzer - Cache performance analysis tools
- Matrix
Memory Pool - Memory pool for efficient matrix allocation
- Pool
Statistics - Statistics about memory pool usage
- Tiled
Matrix Ops - Tiled matrix operations for better cache locality
Enums§
- Matrix
Operation Type - Types of matrix operations for cache analysis