Research any topic before you write.

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

GPFS

GPFS (General Parallel File System, brand name IBM Storage Scale and previously IBM Spectrum Scale) is a high-performance clustered file system software developed by IBM. It can be deployed in shared-disk or shared-nothing distributed parallel modes, or a combination of these. It is used by many of the world's largest commercial companies, as well as…

History & Companies

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 GPFS. 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.

History

Almaden Research CenterThomas J. Watson Research CenterMulticomputersParallel I/OUnix
6 related topics

Overview

Clustered file systemIBMShared-diskShared-nothingSupercomputers
18 related topics

Architecture

POSIXDMAPIHSMILMHadoop
7 related topics

Information lifecycle management

Fibre Channel
1 related topics

Key facts & relationships

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

Developer
IBM
File system permissions
POSIX
Full name
IBM Spectrum Scale
Introduced
1998; 28 years ago (1998) with AIX
Max file size
8 EB
Max no. of files
264 per file system

Topics to explore

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

Overview

History

Architecture

Information lifecycle management

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

GPFS

Nodes37
Edges36
Triples38
Avg. degree1.95
Density0.054054
Components1

How this topic connects Entity context

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

GPFS

Top relations

related to Compared to Hadoop Distributed File System (HDFS) · 13
GPFS → Hadoop, Hadoop HDFS, Hadoop's HDFS, HDFS, MB, Namenode, Posix, Primary, RAID, RAM, SAN, Secondary Namenodes, Small
related to history · 11
GPFS → Another, I/O, IBM's Almaden Research Center, IBM's Thomas, IBM's Vesta, The, This, Tiger Shark, Vesta, Watson Research Center, With
Developer · 1
GPFS → IBM
File system permissions · 1
GPFS → POSIX
Full name · 1
GPFS → IBM Spectrum Scale
Introduced · 1
GPFS → 1998; 28 years ago (1998) with AIX
Max file size · 1
GPFS → 8 EB
Max no. of files · 1
GPFS → 264 per file system
Max volume size · 1
GPFS → 8 YB
Supported operating systems · 1
GPFS → AIX, Linux, Windows Server

Important terminology Word statistics

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

Important terminology

file filesystem system storage data ibm parallel cluster nodes files used management distributed server policies aix name placement blocks directory

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
GPFSDeveloperIBM1.00infobox
GPFSFile system permissionsPOSIX1.00infobox
GPFSFull nameIBM Spectrum Scale1.00infobox
GPFSIntroduced1998; 28 years ago (1998) with AIX1.00infobox
GPFSMax file size8 EB1.00infobox
GPFSMax no. of files264 per file system1.00infobox
GPFSMax volume size8 YB1.00infobox
GPFSSupported operating systemsAIX, Linux, Windows Server1.00infobox
GPFSTransparent encryptionyes1.00infobox
file nameinstance ofFile placement rules are selected by attributes0.80text
the user name or the filesetinstance ofFile placement rules are selected by attributes0.80text
last access timeinstance ofFile management policies are determined by file attributes0.80text

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.