Research any topic before you write.

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

Kerrighed

Kerrighed is an open source single-system image (SSI) cluster software project. The project started in October 1998 at the Paris research group The French National Institute for Research in Computer Science and Control. From 2006 to 2011, the project was mainly developed by Kerlabs. In January, 2012 the Linux clustering mission of Kerlabs was adopted by…

Art, Science & Products

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Kerrighed. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Background

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.

Map overview Semantic statistics

Kerrighed

Nodes16
Edges15
Triples14
Avg. degree1.88
Density0.125
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Kerrighed

Top relations

related to background · 6
Kerrighed → It, Linux, Message Passing Interface, OpenMP, Posix, Such
related to External links · 3
Kerrighed → Comparative Study, DIPCKerrighed, OpenSSI
is a · 1
Kerrighed → open source single-system image

Important terminology Word statistics

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

Important terminology

cluster project linux kerlabs january 2012 applications resources node container kernel software model provides memory one open source single-system image

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Kerrighedis aopen source single-system image0.90text
numerical simulations to use more powerinstance ofIt helps scientific applications0.80text
a distributed shared memory with a sequential consistency modelinstance ofKerrighed provides a development framework allowing to easily implement dynamic scheduling policies without kernel modification.Kerrighed provides several features0.80text
processes migration from one cluster node to anotherinstance ofKerrighed provides a development framework allowing to easily implement dynamic scheduling policies without kernel modification.Kerrighed provides several features0.80text
and to a limited extent checkpointing.Kerrighed uses ainstance ofKerrighed provides a development framework allowing to easily implement dynamic scheduling policies without kernel modification.Kerrighed provides several features0.80text
Kerrighedrelated to backgroundLinux0.60section
Kerrighedrelated to backgroundIt0.60section
Kerrighedrelated to backgroundSuch0.60section
Kerrighedrelated to backgroundOpenMP0.60section
Kerrighedrelated to backgroundMessage Passing Interface0.60section
Kerrighedrelated to backgroundPosix0.60section
Kerrighedrelated to External linksDIPCKerrighed0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.