Skip to content
geeksforgeeks
  • Tutorials
    • Python
    • Java
    • Data Structures & Algorithms
    • ML & Data Science
    • Interview Corner
    • Programming Languages
    • Web Development
    • CS Subjects
    • DevOps And Linux
    • School Learning
    • Practice Coding Problems
  • Courses
    • DSA to Development
    • Get IBM Certification
    • Newly Launched!
      • Master Django Framework
      • Become AWS Certified
    • For Working Professionals
      • Interview 101: DSA & System Design
      • Data Science Training Program
      • JAVA Backend Development (Live)
      • DevOps Engineering (LIVE)
      • Data Structures & Algorithms in Python
    • For Students
      • Placement Preparation Course
      • Data Science (Live)
      • Data Structure & Algorithm-Self Paced (C++/JAVA)
      • Master Competitive Programming (Live)
      • Full Stack Development with React & Node JS (Live)
    • Full Stack Development
    • Data Science Program
    • All Courses
  • Aptitude
  • Engineering Mathematics
  • Discrete Mathematics
  • Operating System
  • DBMS
  • Computer Networks
  • Digital Logic and Design
  • C Programming
  • Data Structures
  • Algorithms
  • Theory of Computation
  • Compiler Design
  • Computer Org and Architecture
Open In App
Next Article:
Difference between Multiprocessing and Multiprogramming
Next article icon

Difference between Multiprocessing and Multiprogramming

Last Updated : 28 Dec, 2024
Comments
Improve
Suggest changes
Like Article
Like
Report

Multiprocessing and Multiprogramming both strategies are designed to increase the efficiency of the system by managing multiple tasks but with different principles of their own. But they share the common goal which is improving resource utilization and system throughput. So, understanding which one to use in the modern computer system is necessary.

What is Multiprocessing?

Multiprocessing is a system that has two or more processors. In this, CPUs are added to increase the computing speed of the system. Because of Multiprocessing, many processes are executed simultaneously. This approach enhances performance by leveraging parallelism to handle more tasks at once. Multiprocessing is further classified into two categories: Symmetric Multiprocessing and Asymmetric Multiprocessing.

  • Asymmetric multiprocessing: a specific task is allocated to a particular processor, not every processor can perform all the tasks. Typically, there are slave processors present that execute tasks based on the Master processor (who controls the system) assigning the tasks to the slave processors.
  • Symmetric multiprocessing: all the processors have equal access to all resources and are capable of executing any task allocated to them. They share a common memory space which helps to communicate processors and data sharing between them.

Multiprocessing

Advantages of Multiprocessing

  • Efficient Resource Utilization: Multiple processors improve efficiency and reduce the bottlenecks by better utilization of resources and can share the workload.
  • Reliability is improved: If one processor fails, then others can continue that work which makes the system more robust.
  • Increased Throughput: This leads to higher overall performance of the system as multiple CPUs are used, so a system can process more tasks simultaneously.

Disadvantages of Multiprocessing

  • Complexity: As here multiple processors are used which makes the management or processors complex, so a sophisticated operating system and software are required to coordinate tasks.
  • Cost: These types of systems are generally more expensive than single-processor systems.
  • Resource Contention: There are multiple processors used which may compete for the shared resources and which causes conflicts between processors and reduced performance.

Now, let's discuss multiprogramming in detail

What is Multi-programming?

Multi-programming involves more than one process running at a time on a single processor system, it increases CPU utilization by organizing jobs (code and data) so that the CPU always has one to execute and maximize resource utilization as well. The motive is to keep multiple jobs in the main memory. If one job gets occupied with Input/output, the CPU can be assigned to other jobs. This ensures that the CPU is always in use and cannot be idle.

Multiprogramming

Advantages of Multiprogramming

  • Increased CPU Utilization: The CPU idle or minimizes the idle time in multiprogramming as the CPU is busy with multiple programs or tasks to execute.
  • Enhanced System Throughput: In a given time frame the system can handle more tasks if multiple programs are in memory.
  • Efficient Resource Use: This helps in utilizing system resources effectively by overlapping the I/O operations with CPU processing.

Disadvantages of Multiprogramming

  • Overhead and Reduced Performance: When the programs are switching then saving and restoring the state of each program is required, which consumes the time of CPU and can impact overall performance. Also, the time required to switch between programs leads to increased latency and affects the responsiveness of the system.
  • Management is complex: Managing multiple programs requires complex scheduling algorithms to ensure fair and efficient allocation of CPU time. It is an overhead for the operating system which impacts overall system performance.
  • Resource Contention: This creates memory conflicts, as multiple programs run simultaneously and compete for limited memory resources. This can cause memory fragmentation and reduced performance if not managed effectively.
  • Overcommitted Resources: If the system is overloaded with too many programs at the same time can lead to resource exhaustion, where the system has a lot of workload and is not able to handle it, resulting in degraded performance.

Difference between Multiprocessing and Multiprogramming

Multiprocessing

Multiprogramming

The availability of more than one processor per system, that can execute several sets of instructions in parallel is known as multiprocessing.

The concurrent application of more than one program in the main memory is known as multiprogramming.

The number of CPUs is more than one.

The number of CPUs is one.

It takes less time for job processing.

It takes more time to process the jobs.

In this, more than one process can be executed at a time.

In this, one process can be executed at a time.

It is tightly coupled. Synchronization is there in multiprocessing.

No Synchronization is there.

The number of users can be one or more than one.

The number of users is one at a time.

Throughput is maximum.

Throughput is less.

Efficiency is maximum.

Less efficient.

Conclusion

Both Multiprogramming and Multiprocessing aim to improve the performance of the system, the both have different principles to work with. Multiprocessing focuses on parallel execution using multiple CPUs in a single system, while multiprogramming enhances CPU utilization and reduces CPU idle time by managing multiple programs on a single processor. Understanding these differences helps in choosing the right and necessary approach based on the specific needs and constraints of a computing environment.


Next Article
Difference between Multiprocessing and Multiprogramming

A

adware
Improve
Article Tags :
  • Operating Systems
  • Difference Between
  • GATE CS

Similar Reads

    Difference between Multiprocessing and Multithreading
    Multiprocessing uses multiple CPUs to run many processes at a time while multithreading creates multiple threads within a single process to get faster and more efficient task execution. Both Multiprocessing and Multithreading are used to increase the computing power of a system in different ways. In
    3 min read
    Difference between Multitasking and Multiprocessing
    When it comes to analyzing the productivity of systems in the contemporary environment of computing, the concepts of multitasking and multiprocessing become prominent. Although both concepts are bound to how a computer processes work, their mode of function and their purpose are entirely dissimilar.
    5 min read
    Difference between Multiprogramming and Multithreading
    1. Multi-programming : Multi-programming is more than one process running at a time, it increases CPU utilization by organizing jobs (code and data) so that the CPU always has one to execute. The motive is to keep multiple jobs in main memory. If one job gets occupied with Input/output, CPU can be a
    2 min read
    Difference between Multiprogramming and Multitasking
    Both multi-programming and multi-tasking are related to concepts in operating systems. CPU is a super fast device and keeping it occupied for a single task is never a good idea. Considering the huge differences between CPU speed and IO speed, many concepts like multiprogramming, multitasking, multit
    4 min read
    Difference between Program and Process
    In Computer Science, there are two fundamental terms in operating system: Program and Process. Program is a set of instructions written to perform a task, stored in memory. A process is the active execution of a program, using system resources like CPU and memory. In other words, a program is static
    4 min read
geeksforgeeks-footer-logo
Corporate & Communications Address:
A-143, 7th Floor, Sovereign Corporate Tower, Sector- 136, Noida, Uttar Pradesh (201305)
Registered Address:
K 061, Tower K, Gulshan Vivante Apartment, Sector 137, Noida, Gautam Buddh Nagar, Uttar Pradesh, 201305
GFG App on Play Store GFG App on App Store
Advertise with us
  • Company
  • About Us
  • Legal
  • Privacy Policy
  • In Media
  • Contact Us
  • Advertise with us
  • GFG Corporate Solution
  • Placement Training Program
  • Languages
  • Python
  • Java
  • C++
  • PHP
  • GoLang
  • SQL
  • R Language
  • Android Tutorial
  • Tutorials Archive
  • DSA
  • Data Structures
  • Algorithms
  • DSA for Beginners
  • Basic DSA Problems
  • DSA Roadmap
  • Top 100 DSA Interview Problems
  • DSA Roadmap by Sandeep Jain
  • All Cheat Sheets
  • Data Science & ML
  • Data Science With Python
  • Data Science For Beginner
  • Machine Learning
  • ML Maths
  • Data Visualisation
  • Pandas
  • NumPy
  • NLP
  • Deep Learning
  • Web Technologies
  • HTML
  • CSS
  • JavaScript
  • TypeScript
  • ReactJS
  • NextJS
  • Bootstrap
  • Web Design
  • Python Tutorial
  • Python Programming Examples
  • Python Projects
  • Python Tkinter
  • Python Web Scraping
  • OpenCV Tutorial
  • Python Interview Question
  • Django
  • Computer Science
  • Operating Systems
  • Computer Network
  • Database Management System
  • Software Engineering
  • Digital Logic Design
  • Engineering Maths
  • Software Development
  • Software Testing
  • DevOps
  • Git
  • Linux
  • AWS
  • Docker
  • Kubernetes
  • Azure
  • GCP
  • DevOps Roadmap
  • System Design
  • High Level Design
  • Low Level Design
  • UML Diagrams
  • Interview Guide
  • Design Patterns
  • OOAD
  • System Design Bootcamp
  • Interview Questions
  • Inteview Preparation
  • Competitive Programming
  • Top DS or Algo for CP
  • Company-Wise Recruitment Process
  • Company-Wise Preparation
  • Aptitude Preparation
  • Puzzles
  • School Subjects
  • Mathematics
  • Physics
  • Chemistry
  • Biology
  • Social Science
  • English Grammar
  • Commerce
  • World GK
  • GeeksforGeeks Videos
  • DSA
  • Python
  • Java
  • C++
  • Web Development
  • Data Science
  • CS Subjects
@GeeksforGeeks, Sanchhaya Education Private Limited, All rights reserved
We use cookies to ensure you have the best browsing experience on our website. By using our site, you acknowledge that you have read and understood our Cookie Policy & Privacy Policy
Lightbox
Improvement
Suggest Changes
Help us improve. Share your suggestions to enhance the article. Contribute your expertise and make a difference in the GeeksforGeeks portal.
geeksforgeeks-suggest-icon
Create Improvement
Enhance the article with your expertise. Contribute to the GeeksforGeeks community and help create better learning resources for all.
geeksforgeeks-improvement-icon
Suggest Changes
min 4 words, max Words Limit:1000

Thank You!

Your suggestions are valuable to us.

What kind of Experience do you want to share?

Interview Experiences
Admission Experiences
Career Journeys
Work Experiences
Campus Experiences
Competitive Exam Experiences