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What is the difference between a clustered system and a multiprocessor system?

Published in Computer Architecture 3 mins read

The primary difference between a clustered system and a multiprocessor system lies in their physical structure and how they achieve parallelism: a clustered system uses multiple independent computers working together, while a multiprocessor system uses multiple CPUs within a single physical computer.

Clustered Systems

  • Definition: A clustered system consists of multiple independent and complete computers (nodes) that are interconnected and work together as a single, unified computing resource. Each node has its own operating system, memory, and I/O devices.

  • Characteristics:

    • Loose Coupling: Nodes communicate via a network, often using message passing.
    • Independent Nodes: Each node can function independently if the cluster fails.
    • Scalability: Easy to add or remove nodes to increase or decrease computing power.
    • High Availability: If one node fails, another can take over its workload.
    • Cost-Effective: Can be built using commodity hardware.
  • Examples:

    • High-Performance Computing (HPC) clusters: Used for scientific simulations, weather forecasting, and data analysis.
    • Web server farms: Distribute web traffic across multiple servers.
    • Database clusters: Provide redundancy and scalability for database applications.

Multiprocessor Systems

  • Definition: A multiprocessor system (also known as a symmetric multiprocessing or SMP system) contains two or more CPUs within a single physical computer. These CPUs share the same memory space and I/O devices.

  • Characteristics:

    • Tight Coupling: CPUs share memory and communicate directly.
    • Shared Resources: All CPUs have access to the same memory and I/O devices.
    • Complex Architecture: Requires specialized hardware and operating system support to manage multiple CPUs.
    • Higher Performance: Provides faster execution for parallel tasks.
    • Single Point of Failure: If the system fails, all processing stops.
  • Examples:

    • Desktop computers with multiple cores: Common in modern PCs and laptops.
    • Server computers with multiple CPUs: Used for database servers, application servers, and other demanding workloads.
    • Mainframe computers: Large, powerful computers used for critical applications.

Key Differences Summarized

Feature Clustered System Multiprocessor System
Structure Multiple independent computers Single computer with multiple CPUs
Coupling Loose (network communication) Tight (shared memory)
Resource Sharing Independent (own memory, OS) Shared memory and I/O
Scalability Highly scalable (add/remove nodes) Limited by physical limitations of the motherboard
Availability High (fault tolerance) Lower (single point of failure)
Complexity Complex software for managing the cluster Complex hardware and OS for CPU management

In essence, clustered systems achieve parallelism by distributing workloads across multiple independent machines connected via a network, while multiprocessor systems use multiple CPUs within a single machine to achieve parallelism.

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