Memory Management & Performance

Memory Management & Performance Overview

Dart provides robust memory management and performance optimization capabilities. The garbage collector automatically handles memory allocation/reclamation, while const objects and compile-time constants optimize memory usage. Performance profiling tools help identify bottlenecks, and benchmarking techniques enable measurable optimizations. These features are essential for building high-performance Dart applications.

Key Concepts and Techniques

1. Garbage Collection in Dart

• Automatic memory management system
• Generational garbage collector (young/old space)
• Isolate-specific heaps with no shared memory

2. Const Objects and Compile-Time Constants

• Immutable values determined at compile-time
• Memory efficiency through object reuse
• Best practices for const constructors

3. Performance Profiling Basics

• CPU and memory profiling with DevTools
• Identifying expensive widget rebuilds
• Memory leak detection techniques

4. Benchmarking and Optimization Tips

• Measuring execution time with Stopwatch
• Microbenchmarking with benchmark_harness
• Optimization golden rules

5. Memory Leak Prevention

• Common leak patterns in Dart
• Using WeakReferences and Expando
• Event listener management