Module memory 

Memory access pattern optimization utilities

This module provides utilities for optimizing memory access patterns in numerical computations. It includes cache-friendly algorithms, data layout optimizations, and memory pooling strategies to improve performance.

Memory Layout Optimization

Different memory layouts can significantly impact performance:

• Row-major vs column-major for matrices
• Structure of Arrays (SoA) vs Array of Structures (AoS)
• Cache-friendly blocking and tiling

Examples

use scirs2_integrate::memory::{MemoryPool, CacheFriendlyMatrix, BlockingStrategy, MatrixLayout};

// Use memory pool for frequent allocations
let mut pool = MemoryPool::<f64>::new(1024);
let buffer = pool.allocate(100);

// Cache-friendly matrix operations
let matrix = CacheFriendlyMatrix::<f64>::new(100, 100, MatrixLayout::RowMajor);
let blocking = BlockingStrategy::new(64); // 64x64 blocks

Structs

BlockingStrategy

Blocking strategy for cache-friendly algorithms

CacheAwareAlgorithms

Cache-aware algorithms for common operations

CacheFriendlyMatrix

Cache-friendly matrix with optimized memory layout

DataLayoutOptimizer

Data layout optimization utilities

MemoryPool

Memory pool for efficient allocation and reuse of buffers

MemoryPrefetch

Memory prefetching utilities for performance optimization

MemoryUsage

Memory usage statistics

PooledBuffer

RAII wrapper for pooled buffers

Enums

CacheLevel

MatrixLayout