What is the Difference Between Multiprocessing and Multithreading?

🆚 Go to Comparative Table 🆚

The main difference between multiprocessing and multithreading lies in how they achieve multitasking and their resource usage:

  • Multiprocessing:
  1. Involves running multiple processes in parallel, with each process potentially executing on a separate CPU.
  2. Increases computing power by adding CPUs to the system.
  3. Each process has its own address space and resources.
  4. Suitable for tasks that can be divided into independent processes.
  5. Classified into Symmetric and Asymmetric Multiprocessing.
  • Multithreading:
  1. Refers to the ability of a processor to execute multiple threads concurrently, where each thread runs a process.
  2. Increases computing power by creating multiple threads of a single process.
  3. All threads share the same code, data, and files, but run on different registers and stacks.
  4. Useful for IO-bound processes, such as reading files from a network or database.
  5. Not classified into any categories.

In summary, multiprocessing involves running multiple separate processes in parallel, while multithreading involves executing multiple threads within a single process. Multiprocessing is more suitable for tasks that can be divided into independent processes, whereas multithreading is useful for IO-bound processes.

Comparative Table: Multiprocessing vs Multithreading

Here is a table comparing the differences between multiprocessing and multithreading:

Feature Multiprocessing Multithreading
Definition A system with more than one processor, where each processor can run one or more threads. A system where multiple threads of a single process are executed simultaneously.
Purpose Increases computing power by adding CPUs. Increases computing power by creating multiple threads of a single process.
Creation Process creation is time-consuming and resource-specific. Thread creation is economical in time and resource.
Memory Allocates separate memory and resources for each process or program. Shares a common address space among all threads.
Classification Can be symmetric or asymmetric. Not classified.
Pickling Relies on pickling objects in memory to send to other processes. Avoids pickling.
Use Case Suitable for CPU-bound processes. Useful for I/O-bound processes, such as reading files from a network or database.

In summary, multiprocessing is useful for CPU-bound processes and involves running multiple processes simultaneously, while multithreading is suitable for I/O-bound processes and involves running multiple threads of a single process simultaneously. Multithreading is more economical in terms of resource usage and time, whereas multiprocessing requires more resources and time for process creation.