Intro to Multiprocessing

1. Overview of Multiprocessing

Key Concepts

• Definition: A technique that replicates processes to run independently within separate memory spaces.
• Structure: Each process independently maintains its own Code, Heap, Data, and Stack sections.
• Advantages: Optimizes CPU-bound operations and ensures stability through process isolation.
• Disadvantages: Overhead from context switching and challenges in Inter-Process Communication (IPC).

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2. Synchronization using Event

Operating Principle

• event.wait(): Blocks process execution until the event flag is set() to true.
• event.set(): Signals all waiting processes to resume execution simultaneously.

Code Implementation

```python import multiprocessing from time import sleep

def task(event, name): print(f’Current Process {name} waiting…’) event.wait() # Wait for signal print(f’Current Process {name} started!’)

if name == “main”: event = multiprocessing.Event()

p1 = multiprocessing.Process(target=task, args=(event, 'pro1'))
p2 = multiprocessing.Process(target=task, args=(event, 'pro2'))

p1.start()
p2.start()

sleep(3) # 3-second delay
event.set() # Wake up all processes