performance

⚡ RUST PERFORMANCE OPTIMIZATION

TL;DR: Performance optimization strategies for Rust applications, focusing on zero-cost abstractions, memory management, and profiling-driven optimization.

🔍 PERFORMANCE OPTIMIZATION STRATEGY

graph TD
    Start["Performance Issue"] --> Measure["Profile & Measure"]

    Measure --> Bottleneck{"Bottleneck<br>Type?"}

    Bottleneck -->|CPU| CPUOpt["CPU Optimization"]
    Bottleneck -->|Memory| MemOpt["Memory Optimization"]
    Bottleneck -->|I/O| IOOpt["I/O Optimization"]
    Bottleneck -->|Concurrency| ConcOpt["Concurrency Optimization"]

    CPUOpt --> SIMD["SIMD Vectorization"]
    CPUOpt --> Algorithms["Algorithm Optimization"]
    CPUOpt --> CompileTime["Compile-Time Optimization"]

    MemOpt --> Allocation["Allocation Strategy"]
    MemOpt --> DataStructure["Data Structure Choice"]
    MemOpt --> Caching["Caching Patterns"]

    IOOpt --> Buffering["Buffering Strategy"]
    IOOpt --> AsyncIO["Async I/O Patterns"]
    IOOpt --> Batching["Request Batching"]

    ConcOpt --> Parallelism["Parallel Processing"]
    ConcOpt --> Channels["Channel Optimization"]
    ConcOpt --> LockFree["Lock-Free Structures"]

    SIMD --> Verify["Benchmark & Verify"]
    Algorithms --> Verify
    CompileTime --> Verify
    Allocation --> Verify
    DataStructure --> Verify
    Caching --> Verify
    Buffering --> Verify
    AsyncIO --> Verify
    Batching --> Verify
    Parallelism --> Verify
    Channels --> Verify
    LockFree --> Verify

    style Start fill:#4da6ff,stroke:#0066cc,color:white
    style Measure fill:#ffa64d,stroke:#cc7a30,color:white
    style CPUOpt fill:#4dbb5f,stroke:#36873f,color:white
    style MemOpt fill:#d94dbb,stroke:#a3378a,color:white

🎯 PERFORMANCE PRINCIPLES

Measure First, Optimize Second

// ✅ Always profile before optimizing
use std::time::Instant;

#[cfg(feature = "profiling")]
macro_rules! time_it {
    ($name:expr, $block:block) => {{
        let start = Instant::now();
        let result = $block;
        let duration = start.elapsed();
        tracing::info!("{} took {:?}", $name, duration);
        result
    }};
}

#[cfg(not(feature = "profiling"))]
macro_rules! time_it {
    ($name:expr, $block:block) => {
        $block
    };
}

// Usage
fn process_data(data: &[u8]) -> Vec<u8> {
    time_it!("process_data", {
        // Expensive computation here
        data.iter().map(|&b| b.wrapping_mul(2)).collect()
    })
}