categories.language Intermediate

What Are the Core Concepts of Memory Management and Garbage Collection?

AI Practice

Memory Management and Garbage Collection

Memory Regions

  • Stack: Function call frames, local variables; automatically allocated/freed; fast
  • Heap: Dynamic allocation (objects, arrays); managed by GC

GC Algorithms

Mark and Sweep

  1. Start from root objects, mark all reachable objects
  2. Sweep (collect) unmarked objects ❌ Can cause memory fragmentation

Reference Counting

Track how many references point to an object; collect when count reaches zero ✅ Immediate reclamation ❌ Cannot handle circular references (Python has a cycle detector)

Generational GC

Partition objects by age (Young / Old / Permanent)

  • Most objects die young; focus on scanning Young Generation
  • Used by JVM (Java) and V8 (Node.js)

Stop-the-World (STW)

GC pauses all application threads—the main source of latency spikes

  • Modern GCs (ZGC, G1 GC) minimize STW pause times

Language Comparison

Language GC Mechanism
Java Generational GC (G1/ZGC)
Go Concurrent Mark-Sweep
Python Reference Counting + Cycle Detector
Rust No GC; Ownership system at compile time

Interview bonus: Common memory leak causes—unremoved event listeners, unbounded global caches, circular references.

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