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Structure of shared memory space

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This document discusses different ways to structure shared memory space in a distributed shared memory (DSM) system. It describes three common types: no structuring, where shared memory is a linear array of words; structuring by data type, where memory is organized as objects or variables; and structuring as a database, where memory is ordered like a tuple space database. The document provides details on each type, including advantages like flexibility of page size for no structuring and matching access granularity to object size for structuring by data type.

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Name:-Punit Kumar Pandey Roll No.:- 23 Class:- MCA-4th Sem. Topic:- Structure of Shared Memory Space
Introduction 1. Structure define the abstract view of the shared memory space to be presented to the application programmers of a DSM system. 2. The shared memory space of one DSM system may appear to its programmers as a storage for words, while the programmers of another DSM system may view its shared memory space as a storage for data objects.
Types There are three commonly used in a shared memory space of a DSM system are:- 1. No Structuring 2. Structuring by data type 3. Structuring as a database
No Structuring 1. Most DSM system do not structure their shared memory space. 2. The shared memory space is simply a linear array of word. 3. Advantage:- a. It is convenient to choose any suitable page size as the unit of sharing and a fixed gain size may be used for all application. b. It is simple and easy to design such a DSM system.
Structuring by data type 1. The shared memory space is structured either as a collection of objects or as a collection of variables in the source language. 2. The granularity in such DSM system is an object or a variable. 3. DSM system use variable grain size to match the size of the object/variable being accessed by the application
Structuring as a Database 1. Structure the shared memory like a database 2. Shared memory space is ordered as an associative memory called tuple space 3. To perform update old data item in the DSM are replaced by new data item 4. Processes select tuples by specifying the number of their fields and their values or type 5. Access to shared data is nontransparent. Most system they are transparent
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Structure of shared memory space

  • 1. Name:-Punit Kumar Pandey Roll No.:- 23 Class:- MCA-4th Sem. Topic:- Structure of Shared Memory Space
  • 2. Introduction 1. Structure define the abstract view of the shared memory space to be presented to the application programmers of a DSM system. 2. The shared memory space of one DSM system may appear to its programmers as a storage for words, while the programmers of another DSM system may view its shared memory space as a storage for data objects.
  • 3.
  • 4. Types There are three commonly used in a shared memory space of a DSM system are:- 1. No Structuring 2. Structuring by data type 3. Structuring as a database
  • 5. No Structuring 1. Most DSM system do not structure their shared memory space. 2. The shared memory space is simply a linear array of word. 3. Advantage:- a. It is convenient to choose any suitable page size as the unit of sharing and a fixed gain size may be used for all application. b. It is simple and easy to design such a DSM system.
  • 6. Structuring by data type 1. The shared memory space is structured either as a collection of objects or as a collection of variables in the source language. 2. The granularity in such DSM system is an object or a variable. 3. DSM system use variable grain size to match the size of the object/variable being accessed by the application
  • 7. Structuring as a Database 1. Structure the shared memory like a database 2. Shared memory space is ordered as an associative memory called tuple space 3. To perform update old data item in the DSM are replaced by new data item 4. Processes select tuples by specifying the number of their fields and their values or type 5. Access to shared data is nontransparent. Most system they are transparent
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