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Embarrassingly parallel: Measurement, Examples & Overview

In parallel computing, an embarrassingly parallel workload or problem (also called embarrassingly parallelizable, perfectly parallel, delightfully parallel or pleasingly parallel) is one where little or no effort is needed to split the problem into a number of parallel tasks. This is due to minimal or no dependency upon communication between the parallel…

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Embarrassingly parallel topic overview

The analysis highlights Measurement, Examples and Overview as prominent areas in the source structure around Embarrassingly parallel.

Related topics
50
Source areas
4
Connected nodes
54
Extracted relationships
25
Concept neighborhoods
22
Bridge connections
54

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.

Examples · 32 topics
Overview · 13 topics
Etymology · 3 topics
Implementations · 2 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

Etymology

Examples

Implementations

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 Embarrassingly parallel connects Entity context

The extracted context around Embarrassingly parallel shows recurring relationship patterns in the source. For example, Embarrassingly parallel → Amdahl's, Cellular, MachineCUDA, Massively, SMP, SN, Symmetric, Vector Another extracted example is Embarrassingly parallel → Beowulf, In, Similar, SNOW, The Simple Network, Workstations. Use these groups to spot repeated connection types before inspecting the individual relationships.

Embarrassingly parallel

Top relations

see also · 8
Embarrassingly parallel → Amdahl's, Cellular, MachineCUDA, Massively, SMP, SN, Symmetric, Vector
related to Implementations · 6
Embarrassingly parallel → Beowulf, In, Similar, SNOW, The Simple Network, Workstations
related to External links · 5
Embarrassingly parallel → Beowulf-style Compute Cluster, Embarrassingly Parallel Computations, Engineering, High Productivity Parallel Computing, Star-P
related to Examples · 4
Embarrassingly parallel → Hello World, Indeed, It, Some

Important terminology

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

Important terminology

parallel embarrassingly problems processing computing distributed tasks problem set similar number used cluster communication results examples also rendering frame many

Embarrassingly parallel relationships Subject–Predicate–Object triples

TTTA extracted 25 structured relationships around Embarrassingly parallel. Examples in this analysis include BOINC → instance of → Internet-based volunteer computing platforms and Embarrassingly parallel → related to Examples → It. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
BOINCinstance ofInternet-based volunteer computing platforms0.80text
and suffer less from parallel slowdowninstance ofInternet-based volunteer computing platforms0.80text
Embarrassingly parallelrelated to ExamplesIt0.60section
Embarrassingly parallelrelated to ExamplesIndeed0.60section
Embarrassingly parallelrelated to ExamplesHello World0.60section
Embarrassingly parallelrelated to ExamplesSome0.60section
Embarrassingly parallelrelated to External linksEmbarrassingly Parallel Computations0.60section
Embarrassingly parallelrelated to External linksEngineering0.60section
Embarrassingly parallelrelated to External linksBeowulf-style Compute Cluster0.60section
Embarrassingly parallelrelated to External linksStar-P0.60section
Embarrassingly parallelrelated to External linksHigh Productivity Parallel Computing0.60section
Embarrassingly parallelrelated to ImplementationsIn0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Embarrassingly parallel bring nearby vocabulary together. In this analysis, examples include Parallel, Problems and Processing. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Embarrassingly parallel
    • Parallel
    • Problems
    • Processing
    • Also
    • Method
    • Cluster
    • Examples
    • Problem
    • Programming
    • Distributed
    • Set
    • Due
  • embarrassingly parallel
    • Parallel
    • Problems
    • Processing
    • Also
    • Method
    • Cluster
    • Examples
    • Problem
    • Programming
    • Distributed
    • Set
    • Due
  • parallel computing
    • Tasks
    • Problems
    • Parallel
    • Also
    • Communication
    • Effort
    • Large
    • Little
    • Pleasingly
    • Processing
    • Results
    • Split
  • distributed computing
    • Examples
    • Include
    • Tasks
    • Processing
    • Problems
    • Parallel
    • Also
    • Communication
    • Easily
    • Effort
    • Large
    • Little
  • parallel slowdown
    • Problems
    • Processing
    • Due
    • Example
    • Method
    • Pleasingly
    • Cluster
    • Include
    • Problem
    • Programming
    • Tasks
    • Would
  • volunteer computing
    • Tasks
    • Parallel
    • Also
    • Communication
    • Effort
    • Large
    • Little
    • Pleasingly
    • Results
    • Split
    • Embarrassingly
    • Cluster
  • graphics processing unit
    • Rendering
    • Units
    • Frame
    • Method
    • Pixel
    • Video
    • Set
    • Computer
    • Problem
    • Easily
    • Processing
    • Examples
  • inherently serial problems
    • Implementations
    • Examples
    • Would
    • Example
    • Method
    • Parallelized
    • Results
    • Include
    • Many
    • Tasks
    • Used
    • Set

Connections between topic areas Semantic bridges

For Embarrassingly parallel, one of the stronger structural bridges in this analysis connects Embarrassingly parallel with Examples. 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
Embarrassingly parallel — Examples · splits 22 ⟂ 33
Embarrassingly parallel — Overview · splits 41 ⟂ 14
Embarrassingly parallel — Etymology · splits 51 ⟂ 4
Embarrassingly parallel — Implementations · splits 52 ⟂ 3

Map overview Semantic statistics

Embarrassingly parallel

Nodes55
Edges54
Triples25
Avg. degree1.96
Density0.036364
Components1

Source & methodology

TTTA analyzes the structure around Embarrassingly parallel to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Measurement, Examples & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Embarrassingly parallel · EN edition · Analysis: TopicsToTalkAbout

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