ALERT

[WEBINAR] See the Whole Story: The Case for a Visualization Platform

Multiple Instruction, Multiple Data (MIMD)

Definition - What does Multiple Instruction, Multiple Data (MIMD) mean?

Multiple Instruction, Multiple Data (MIMD) refers to a parallel architecture, which is probably the most basic, but most familiar type of parallel processor. Its key objective is to achieve parallelism.

MIMD architecture includes a set of N-individual, tightly-coupled processors. Each processor includes memory that can be common to all processors, and cannot be directly accessed by the other processors.

MIMD architecture includes processors that operate independently and asynchronously. Various processors may be carrying out various instructions at any time on various pieces of data.

Techopedia explains Multiple Instruction, Multiple Data (MIMD)

There are two types of MIMD architecture: Shared Memory MIMD architecture and Distributed Memory MIMD architecture.

Shared Memory MIMD architecture characteristics:

  • Creates a group of memory modules and processors.

  • Any processor is able to directly access any memory module by means of an interconnection network.

  • The group of memory modules outlines a universal address space that is shared between the processors.

A key benefit of this architecture type is that it is very easy to program since there exists no explicit communications among processors with communications addressed through the global memory store.

Distributed Memory MIMD architecture characteristics:

  • Clones the memory/processor pairs, known as a processing element (PE), and links them by using an interconnection network.

  • Each PE can communicate with others by sending messages.

By providing every processor its own memory, the distributed memory architecture bypasses the downsides of the shared memory architecture. A processor may only access the memory that is directly connected to it.

In case a processor requires data that reside in the remote processor memory, then the processor should send a message to the remote processor, requesting the required data.

Access to local memory could happen way quicker as opposed to accessing data on a remote processor. Furthermore, if the physical distance to the remote processor is greater, access to the remote data will take more time.

Connect with us

Techopedia on Linkedin
Techopedia on Linkedin
Tweat cdn.techopedia.com
"Techopedia" on Twitter


'@Techopedia'
Sign up for Techopedia's Free Newsletter!

Email Newsletter

Join thousands of others with our weekly newsletter

Resources
Free Whitepaper: The Path to Hybrid Cloud
Free Whitepaper: The Path to Hybrid Cloud:
The Path to Hybrid Cloud: Intelligent Bursting To Amazon Web Services & Microsoft Azure
Free E-Book: Public Cloud Guide
Free E-Book: Public Cloud Guide:
This white paper is for leaders of Operations, Engineering, or Infrastructure teams who are creating or executing an IT roadmap.
Free Tool: Virtual Health Monitor
Free Tool: Virtual Health Monitor:
Virtual Health Monitor is a free virtualization monitoring and reporting tool for VMware, Hyper-V, RHEV, and XenServer environments.
Free 30 Day Trial – Turbonomic
Free 30 Day Trial – Turbonomic:
Turbonomic delivers an autonomic platform where virtual and cloud environments self-manage in real-time to assure application performance.