Downloaded 96 times
Uploaded byMohammad Ali Khan
Symmetric multiprocessing
This document discusses symmetric multiprocessing (SMP). It defines SMP as processing programs using multiple processors that share common operating system and memory. The key aspects of SMP are: - Processors share memory and I/O bus or data path - A single operating system controls all processors - SMP architecture allows processors to access same memory simultaneously - Advantages of SMP include improved performance, availability, ability to incrementally grow, and scaling - Limitations include additional complexity in operating system and potential bottlenecking of master CPU.
In this document
Powered by AI
Presentation by Mohammad Ali Khan, Jakir Hossain, and Jannatul Ferdaus on Symmetric Multiprocessing in the Computer Science field.
Parallel computing involves simultaneous calculations to solve large problems efficiently through division into smaller tasks.
Various classes of parallel computers include Multicore Computing, SMP, Distributed Computing, Cluster, Massive Parallel Processing, and Grid Computing.
SMP (Symmetric Multiprocessing) involves multiple processors sharing a common OS and memory for efficient program execution.
Discusses the structural layout and technology behind Symmetric Multiprocessing systems.
Different categories of multiprocessing systems: Shared Nothing, Shared Disks, Shared Memory Clusters, and Shared Memory MP.
Analyzes the differences between Symmetric and Asymmetric Multiprocessing.
Key advantages of SMP include enhanced performance, availability, incremental growth, and scalability.
Limitations of SMP include increased system complexity and the risk of bottlenecks from the Master CPU.
More Related Content
Similar to Symmetric multiprocessing
More from Mohammad Ali Khan
Symmetric multiprocessing
- 1. Mohammad Ali Khan ID:011131035 Jakir Hossain ID: 011131036 Jannatul Ferdaus Happy ID: 011131037 Batch: 32 Sem: 10 SYMMETRIC MULTIPROCESSING Dept. of Computer Science & Engineering Faculty of Engineering University of development Alternative (UODA)
- 2. PARALLEL COMPUTING • Parallelcomputing is a type of computation in which many calculations are carried out simultaneously, operating on the principle that large problems can often be divided into smaller ones, which are then solved at the same time.
- 3. CLASSES OF PARALLELCOMPUTERS Multicore Computing Symmetric Multiprocessing Distributed Computing Cluster Computing Massive Parallel Processing Grid Computing
- 4. WHAT IS SMP(SYMMETRIC MULTIPROCESSING) • SMP (symmetric multiprocessing) is the processing of programs by multiple processors that share a common operating system and memory. In symmetric (or "tightly coupled") multiprocessing, the processors share memory and the I/O bus or data path. A single copy of the operating system is in charge of all the processors.
- 5.
- 6. TYPES OF MULTIPROCESSING Severalcategories of multiprocessing (MP) systems exist, as below: • Shared Nothing MP (pure cluster) • Shared Disks MP • Shared Memory Cluster (SMC) • Shared Memory MP Source: http://ps- 2.kev009.com/wisclibrary/aix51/usr/share/man/info/en_US/a_doc_lib/aixbman/prftungd/2365c3 1.htm
- 7.
- 8. ADVANTAGES OF SMP(SYMMETRIC MULTIPROCESSING) Performance Availability Incremental Growth Scaling
- 9. LIMITATION OF SMP(SYMMETRIC MULTIPROCESSING) There are some limitation of Symmetric multiprocessing: • The additional complexity in operating system and possibly application software • The Master CPU can become bottlenecked