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Concurrent data structure: Science, Basic principles & Design and implementation

In computer science, a concurrent data structure (also called shared data structure) is a data structure designed for access and modification by multiple computing threads (or processes or nodes) on a computer, for example concurrent queues, concurrent stacks etc. The concurrent data structure is typically considered to reside in an abstract storage…

Language: English [EN]
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Concurrent data structure topic overview

The analysis highlights Science, Basic principles and Design and implementation as prominent areas in the source structure around Concurrent data structure.

Related topics
23
Source areas
5
Connected nodes
28
Extracted relationships
20
Concept neighborhoods
11
Bridge connections
28

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Basic principles · 12 topics
Overview · 5 topics
Design and implementation · 4 topics
.NET · 1 topics
Rust · 1 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Basic principles

Design and implementation

.NET

Rust

  • Rust Rust (programming language)

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Concurrent data structure connects Entity context

The extracted context around Concurrent data structure shows recurring relationship patterns in the source. For example, Concurrent data structure → Arpan Senlibcds, Arpan SenMultithreaded, C/C, Designing, Java, Multithreaded, Part, RCU/COW-based, TM-based Another extracted example is Concurrent data structure → Concurrent, Data, In, Java, Most, Safety, The, These. Use these groups to spot repeated connection types before inspecting the individual relationships.

Concurrent data structure

Top relations

related to External links · 9
Concurrent data structure → Arpan Senlibcds, Arpan SenMultithreaded, C/C, Designing, Java, Multithreaded, Part, RCU/COW-based, TM-based
related to Basic principles · 8
Concurrent data structure → Concurrent, Data, In, Java, Most, Safety, The, These
related to Design and implementation · 2
Concurrent data structure → Concurrent, The

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

data concurrent structures structure threads properties memory speedup safety design blocking sequential must using performance access implementation also one liveness

Concurrent data structure relationships Subject–Predicate–Object triples

TTTA extracted 20 structured relationships around Concurrent data structure. Examples in this analysis include Gustafson's law.A key issue with the performance of concurrent data structures is the level of memory contention → instance of → The extent to which one can scale the performance of a concurrent data structure is captured by a formula known as Amdahl's law and more refined versions of it and Concurrent data structure → related to Basic principles → Concurrent. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Gustafson's law.A key issue with the performance of concurrent data structures is the level of memory contentioninstance ofThe extent to which one can scale the performance of a concurrent data structure is captured by a formula known as Amdahl's law and more refined versions of it0.80text
Concurrent data structurerelated to Basic principlesConcurrent0.60section
Concurrent data structurerelated to Basic principlesMost0.60section
Concurrent data structurerelated to Basic principlesIn0.60section
Concurrent data structurerelated to Basic principlesSafety0.60section
Concurrent data structurerelated to Basic principlesThese0.60section
Concurrent data structurerelated to Basic principlesThe0.60section
Concurrent data structurerelated to Basic principlesData0.60section
Concurrent data structurerelated to Basic principlesJava0.60section
Concurrent data structurerelated to Design and implementationConcurrent0.60section
Concurrent data structurerelated to Design and implementationThe0.60section
Concurrent data structurerelated to External linksMultithreaded0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Concurrent data structure bring nearby vocabulary together. In this analysis, examples include Data, Structures and Threads. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Concurrent data structure
    • Data
    • Structures
    • Threads
    • Design
    • Memory
    • Safety
    • Structure
    • Properties
    • Also
    • Computing
    • Distributed
    • Multiple
  • concurrent data structure
    • Structures
    • Data
    • Known
    • Threads
    • Structure
    • Design
    • Memory
    • Safety
    • Sequential
    • Properties
    • Performance
    • Also
  • design and implementation
    • Distributed
    • See
    • Implementation
    • Performance
    • Structures
    • Sequential
    • Machine
    • Concurrency
    • Liveness
    • Multiprocessor
    • Must
    • Speedup
  • consensus
    • Using
    • Threads
    • Modification
    • Typically
    • Implemented
    • Multiple
    • Non-blocking
    • See
    • Liveness
    • Multiprocessor
    • Must
    • Structures
  • java concurrency
    • Distributed
    • Non-blocking
    • Multiprocessor
    • One
    • Design
    • Must
    • Structures
    • Memory
    • Safety
    • Threads
    • Data
    • Concurrent
  • blocking
    • Non-blocking
    • Allow
    • Concurrency
    • Consensus
    • One
    • Using
    • Memory
    • Structures
    • Data
  • multiprocessor machines
    • Processors
    • See
    • One
    • Performance
    • Structures
    • Using
    • Safety
    • Threads
  • sequential consistency
    • Structures
    • Safety
    • Properties
    • One
    • Structure

Connections between topic areas Semantic bridges

For Concurrent data structure, one of the stronger structural bridges in this analysis connects Concurrent data structure with Basic principles. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Concurrent data structure — Basic principles · splits 16 ⟂ 13
Concurrent data structure — Overview · splits 23 ⟂ 6
Concurrent data structure — Design and implementation · splits 24 ⟂ 5

Map overview Semantic statistics

Concurrent data structure

Nodes29
Edges28
Triples20
Avg. degree1.93
Density0.068966
Components1

Source & methodology

TTTA analyzes the structure around Concurrent data structure to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Science, Basic principles & Design and implementation, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Concurrent data structure · EN edition · Analysis: TopicsToTalkAbout

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