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

Quick Links

• [04 Profiling & Performance Analysis](/05-py3/09-bytecode-and-execution/(04-profiling-performance-analysis/) - Performance analysis