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RaftLib: Products & Overview

RaftLib is a portable parallel processing system that aims to provide extreme performance while increasing programmer productivity. It enables a programmer to assemble a massively parallel program (both local and distributed) using simple iostream-like operators. RaftLib handles threading, memory allocation, memory placement, and auto-parallelization of…

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RaftLib topic overview

The analysis highlights Products and Overview as prominent areas in the source structure around RaftLib.

Related topics
1
Source areas
1
Connected nodes
2
Extracted relationships
12
Concept neighborhoods
3
Bridge connections
2

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.

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.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

License
Apache License 2.0
Operating system
Linux, macOS, Windows
Original author
Jonathan Beard
Preview release
1.0a / May 18, 2020; 6 years ago (2020-05-18)
Release
late 2014
Stable release
0.9 / January 2020 (2020-01)

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

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 RaftLib connects Entity context

The extracted context around RaftLib shows recurring relationship patterns in the source. For example, RaftLib → BZip2 Implementation Using RaftLib, GitHubCPPNow RaftLib Tutorial SessionParallel, Official Another extracted example is RaftLib → Apache License 2.0. Use these groups to spot repeated connection types before inspecting the individual relationships.

RaftLib

Top relations

related to External links · 3
RaftLib → BZip2 Implementation Using RaftLib, GitHubCPPNow RaftLib Tutorial SessionParallel, Official
License · 1
RaftLib → Apache License 2.0
Operating system · 1
RaftLib → Linux, macOS, Windows
Original author · 1
RaftLib → Jonathan Beard
Preview release · 1
RaftLib → 1.0a / May 18, 2020; 6 years ago (2020-05-18)
Release · 1
RaftLib → late 2014
Stable release · 1
RaftLib → 0.9 / January 2020 (2020-01)
Type · 1
RaftLib → Data analytics, HPC, Signal Processing, Machine Learning, Algorithms, Big Data
Website · 1
RaftLib → www.raftlib.io
Written in · 1
RaftLib → C++

Important terminology

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

Important terminology

parallel programmer enables compute kernels processing system using example website auto-parallelization computer programming portal free open-source software portable aims provide

RaftLib relationships Subject–Predicate–Object triples

TTTA extracted 12 structured relationships around RaftLib. Examples in this analysis include RaftLib → License → Apache License 2.0 and RaftLib → Operating system → Linux, macOS, Windows. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
RaftLibLicenseApache License 2.01.00infobox
RaftLibOperating systemLinux, macOS, Windows1.00infobox
RaftLibOriginal authorJonathan Beard1.00infobox
RaftLibPreview release1.0a / May 18, 2020; 6 years ago (2020-05-18)1.00infobox
RaftLibReleaselate 20141.00infobox
RaftLibStable release0.9 / January 2020 (2020-01)1.00infobox
RaftLibTypeData analytics, HPC, Signal Processing, Machine Learning, Algorithms, Big Data1.00infobox
RaftLibWebsitewww.raftlib.io1.00infobox
RaftLibWritten inC++1.00infobox
RaftLibrelated to External linksOfficial0.60section
RaftLibrelated to External linksGitHubCPPNow RaftLib Tutorial SessionParallel0.60section
RaftLibrelated to External linksBZip2 Implementation Using RaftLib0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around RaftLib bring nearby vocabulary together. In this analysis, examples include System, Allocation and Auto-parallelization. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • RaftLib
    • System
    • Allocation
    • Auto-parallelization
    • Example
    • Handles
    • Memory
    • Placement
    • Provide
    • Software
    • Threading
    • Website
    • Compute
  • raftlib
    • System
    • Allocation
    • Auto-parallelization
    • Example
    • Handles
    • Memory
    • Placement
    • Provide
    • Software
    • Threading
    • Website
    • Compute
  • auto-parallelization
    • Handles
    • Memory
    • Placement
    • Threading
    • Compute
    • Kernels
    • Raftlib

Connections between topic areas Semantic bridges

Bridges highlight paths between different parts of the RaftLib map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Map overview Semantic statistics

RaftLib

Nodes3
Edges2
Triples12
Avg. degree1.33
Density0.666667
Components1

Source & methodology

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

Source: Wikipedia — RaftLib · EN edition · Analysis: TopicsToTalkAbout

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