Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

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…

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

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
9
Related term clusters
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.

Start with your topic. Discover where to go next.

Explore different angles and find fresh ideas to shape your next piece of content.

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

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How Embarrassingly parallel connects Entity context

The extracted context around Embarrassingly parallel shows recurring relationship patterns in the source. For example, Embarrassingly parallel → Beowulf, Similar, SNOW, The Simple Network, Workstations Another extracted example is Embarrassingly parallel → Hello World, Indeed. Use these groups to spot repeated connection types before inspecting the individual relationships.

Embarrassingly parallel

Top relations

related to Implementations · 5
Embarrassingly parallel → Beowulf, Similar, SNOW, The Simple Network, Workstations
related to Examples · 2
Embarrassingly parallel → Hello World, Indeed

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 9 structured relationships around Embarrassingly parallel. Examples in this analysis include BOINC → instance of → Internet-based volunteer computing platforms and Embarrassingly parallel → related to Examples → Indeed. 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 ExamplesIndeed0.60section
Embarrassingly parallelrelated to ExamplesHello World0.60section
Embarrassingly parallelrelated to ImplementationsThe Simple Network0.60section
Embarrassingly parallelrelated to ImplementationsWorkstations0.60section
Embarrassingly parallelrelated to ImplementationsSNOW0.60section
Embarrassingly parallelrelated to ImplementationsBeowulf0.60section
Embarrassingly parallelrelated to ImplementationsSimilar0.60section

Related concept clusters Related term clusters

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
Triples9
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

For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.

Monitor your Domain Rating with FrogDR