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Regular semantics

Regular semantics is a computer hardware consistency model. It describes a type of guarantee provided by a processor register that is shared by several processor cores in a parallel machine or in a network of computers working together. Regular semantics are defined for a variable with a single writer but multiple readers. These semantics are stronger…

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Explore the main themes, entities and connections around Regular semantics. Start with the topic map, then use the sections below for research and deeper semantic analysis.

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Map overview Semantic statistics

Regular semantics

Nodes16
Edges15
Triples10
Avg. degree1.88
Density0.125
Components1

How this topic connects Entity context

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Regular semantics

Top relations

related to Example · 8
Regular semantics → According, Consider, Leslie Lamport, On, Regular, The, Therefore, This
is a · 2
Regular semantics → computer hardware consistency model, weaker property than atomic semantics

Important terminology Word statistics

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Important terminology

regular read atomic semantics register new old inversion first total order operations operation execution write atomicity safe weaker second property

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Regular semanticsis acomputer hardware consistency model0.90text
Regular semanticsis aweaker property than atomic semantics0.90text
Regular semanticsrelated to ExampleRegular0.60section
Regular semanticsrelated to ExampleConsider0.60section
Regular semanticsrelated to ExampleAccording0.60section
Regular semanticsrelated to ExampleThe0.60section
Regular semanticsrelated to ExampleThis0.60section
Regular semanticsrelated to ExampleTherefore0.60section
Regular semanticsrelated to ExampleOn0.60section
Regular semanticsrelated to ExampleLeslie Lamport0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

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    Min side: 3
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