Module performance_profiling 

Advanced Performance Profiling and Optimization Framework

This module provides comprehensive performance profiling, analysis, and optimization capabilities for machine learning algorithms. It enables detailed performance measurement, bottleneck identification, and automated optimization suggestions.

Key Features

• Micro-Benchmarking: Fine-grained performance measurement
• Hotspot Detection: Identify performance bottlenecks
• Memory Profiling: Track memory allocations and usage patterns
• Cache Analysis: Measure cache hit rates and memory access patterns
• SIMD Utilization: Analyze vectorization opportunities
• Flamegraph Generation: Visualize execution profiles
• Optimization Recommendations: Automated suggestions for improvements
• Cross-Platform Profiling: Consistent profiling across targets

Usage

use sklears_core::performance_profiling::*;

// Profile an algorithm
let profiler = PerformanceProfiler::new();
let profile = profiler.profile(|| {
    // Your ML algorithm here
    train_model(&data);
})?;

// Analyze bottlenecks
let analysis = profile.analyze_bottlenecks()?;
for bottleneck in &analysis.hotspots {
    println!("Hotspot: {} ({:.2}% of total time)",
             bottleneck.location,
             bottleneck.time_percentage);
}

// Get optimization recommendations
let recommendations = profile.get_optimization_recommendations()?;

Structs

Allocation

Memory allocation record

AllocationHotspot

Allocation hotspot

BottleneckAnalysis

Bottleneck analysis result

CacheInefficiency

Cache inefficiency

CacheStats

Cache statistics

DetailedProfileResult

Detailed profile result with breakdown

ExecutionTimeline

Execution timeline

Hotspot

Performance hotspot

MemoryBottleneck

Memory bottleneck

MemoryProfile

Memory profiling result

MemorySnapshot

Memory snapshot

MemoryUsage

Memory usage statistics

OptimizationHint

Optimization hint

PerformanceProfiler

Main performance profiler for ML algorithms

ProfileMetrics

Performance metrics collected during profiling

ProfileResult

Profile result with metrics and analysis

ProfilerConfig

Profiler configuration

ProfilerContext

Context for detailed profiling with manual instrumentation

SlowFunction

Slow function identification

Enums

ImprovementEstimate

Improvement estimate

OptimizationCategory

Optimization category

Priority

Priority level

Severity

Severity level