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Communication-avoiding algorithm: Products, Motivation & Formal theory

Communication-avoiding algorithms minimize movement of data within a memory hierarchy for improving its running-time and energy consumption. These minimize the total of two costs (in terms of time and energy): arithmetic and communication. Communication, in this context refers to moving data, either between levels of memory or between multiple processors…

Language: English [EN]
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Communication-avoiding algorithm topic overview

The analysis highlights Products, Motivation and Formal theory as prominent areas in the source structure around Communication-avoiding algorithm.

Related topics
17
Source areas
5
Connected nodes
22
Extracted relationships
8
Concept neighborhoods
13
Bridge connections
22

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.

Motivation · 6 topics
Formal theory · 5 topics
Previous approaches for reducing communication · 4 topics
Objectives · 1 topics
Overview · 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

Formal theory

Motivation

Objectives

Previous approaches for reducing communication

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 Communication-avoiding algorithm connects Entity context

The extracted context around Communication-avoiding algorithm shows recurring relationship patterns in the source. For example, Communication-avoiding algorithm → In, Level, Processor, The, There Another extracted example is Communication-avoiding algorithm → Attain, Communication-avoiding, Reorganize. Use these groups to spot repeated connection types before inspecting the individual relationships.

Communication-avoiding algorithm

Top relations

related to Two-level memory model · 5
Communication-avoiding algorithm → In, Level, Processor, The, There
related to Objectives · 3
Communication-avoiding algorithm → Attain, Communication-avoiding, Reorganize

Important terminology

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

Important terminology

communication memory displaystyle data arithmetic processor algorithm algorithms time energy following cost processors minimize large computation communication-avoiding two matrix multiplication

Communication-avoiding algorithm relationships Subject–Predicate–Object triples

TTTA extracted 8 structured relationships around Communication-avoiding algorithm. Examples in this analysis include Communication-avoiding algorithm → related to Objectives → Communication-avoiding and Communication-avoiding algorithm → related to Objectives → Reorganize. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Communication-avoiding algorithmrelated to ObjectivesCommunication-avoiding0.60section
Communication-avoiding algorithmrelated to ObjectivesReorganize0.60section
Communication-avoiding algorithmrelated to ObjectivesAttain0.60section
Communication-avoiding algorithmrelated to Two-level memory modelThere0.60section
Communication-avoiding algorithmrelated to Two-level memory modelLevel0.60section
Communication-avoiding algorithmrelated to Two-level memory modelIn0.60section
Communication-avoiding algorithmrelated to Two-level memory modelProcessor0.60section
Communication-avoiding algorithmrelated to Two-level memory modelThe0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Communication-avoiding algorithm bring nearby vocabulary together. In this analysis, examples include Energy, Memory and Size. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Communication-avoiding algorithm
    • Energy
    • Memory
    • Size
    • Model
    • Cost
    • Also
    • Computing
    • Hierarchy
    • Levels
    • Reducing
    • Within
    • Matrix
  • communication-avoiding algorithm
    • Energy
    • Memory
    • Size
    • Matrix
    • Multiplication
    • Model
    • Cost
    • Also
    • Computing
    • Hierarchy
    • Levels
    • Reducing
  • memory hierarchy
    • Within
    • Minimize
    • Energy
    • Hierarchy
    • Levels
    • Memory
    • Size
    • Communication
    • Algebra
    • Algorithm
    • Linear
    • Cache
  • previous approaches for reducing communication
    • Cost
    • Processors
    • Memory
    • Given
    • Processor
    • Reducing
    • Total
    • Time
    • Two
    • Following
    • Data
    • Model
  • cache-oblivious algorithms
    • Communication-avoiding
    • Reducing
    • Energy
    • Memory
    • Communication
    • Model
    • Also
    • Computing
    • Given
    • Hierarchy
    • Levels
    • Within
  • parallel algorithms
    • Communication-avoiding
    • Reducing
    • Energy
    • Memory
    • Communication
    • Model
    • Also
    • Computing
    • Given
    • Hierarchy
    • Levels
    • Within
  • inequality of arithmetic and geometric means
    • Communication
    • Large
    • Cost
    • Following
    • Bound
    • Displaystyle
    • Given
    • Lower
    • Total
    • Computation
    • Minimize
    • Time
  • floating-point arithmetic
    • Communication
    • Large
    • Cost
    • Following
    • Bound
    • Displaystyle
    • Given
    • Lower
    • Total
    • Computation
    • Minimize
    • Time

Connections between topic areas Semantic bridges

For Communication-avoiding algorithm, one of the stronger structural bridges in this analysis connects Communication-avoiding algorithm with Motivation. 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
Communication-avoiding algorithm — Motivation · splits 16 ⟂ 7
Communication-avoiding algorithm — Formal theory · splits 17 ⟂ 6
Communication-avoiding algorithm — Previous approaches for reducing communication · splits 18 ⟂ 5

Map overview Semantic statistics

Communication-avoiding algorithm

Nodes23
Edges22
Triples8
Avg. degree1.91
Density0.086957
Components1

Source & methodology

TTTA analyzes the structure around Communication-avoiding algorithm to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Products, Motivation & Formal theory, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Communication-avoiding algorithm · EN edition · Analysis: TopicsToTalkAbout

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