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Memory & Performance

Overview

Critical for inference optimization and scalability.

Topics

  • Reference Counting & Garbage Collection - Memory semantics
  • Memory Layout & Cache Efficiency - Contiguous arrays
  • Global Interpreter Lock (GIL) - Threading limitations
  • Multithreading vs Multiprocessing - Concurrency patterns
  • Async/Await - Asynchronous I/O
  • Memory Profiling - Bottleneck identification

Key Patterns

  • GIL limits pure Python parallelism
  • NumPy/PyTorch operations release GIL
  • Async patterns for inference servers