Research any topic before you write.

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

CDC 3000 series: Characters, Standards, Applications & Companies

The CDC 3000 series ("thirty-six hundred" or "thirty-one hundred") are a family of mainframe computers from Control Data Corporation (CDC). The first member, the CDC 3600, was a 48-bit system introduced in 1963. The same basic design led to the cut-down CDC 3400 of 1964, and then the 24-bit CDC 3300, 3200 and 3100 introduced between 1964 and 1965. The…

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%

CDC 3000 series topic overview

The analysis highlights Characters, Standards, Applications and Companies as prominent areas in the source structure around CDC 3000 series.

Related topics
51
Source areas
11
Connected nodes
62
Extracted relationships
32
Concept neighborhoods
26
Bridge connections
62

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.

Partial list of users · 16 topics
Overview · 9 topics
Software · 8 topics
Architecture · 5 topics
Character set · 5 topics
Lower 3000 series · 2 topics
Upper 3000 series · 2 topics
Instruction sets · 1 topics
Memory · 1 topics
Standard peripherals · 1 topics
The 3150 · 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.

Designer
Seymour Cray
Dimensions
Height : 191 cm (75 in) Length (double) : 214 cm (84 in) Length (single) : 114 cm (45 in) Width : 68 cm (27 in)
Manufacturer
Control Data Corporation
Successor
CDC 6000 series

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

Upper 3000 series

Lower 3000 series

The 3150

Instruction sets

Memory

Architecture

Software

Character set

Partial list of users

Standard peripherals

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 CDC 3000 series connects Entity context

The extracted context around CDC 3000 series shows recurring relationship patterns in the source. For example, CDC 3000 series → Adelaide, Australia, BHP, Brisbane, Canberra, CDC, Census, CSIRO, Defence Signals Directorate, Melbourne, Monash University, Newcastle, Port Kembla Data, Statistics, Sydney, The Bureau, There, They Another extracted example is CDC 3000 series → CDC, Internal Revenue Service, It, Operating System, Oregon State Open Shop, Oregon State University, OS3, The. Use these groups to spot repeated connection types before inspecting the individual relationships.

CDC 3000 series

Top relations

related to Oceania · 18
CDC 3000 series → Adelaide, Australia, BHP, Brisbane, Canberra, CDC, Census, CSIRO, Defence Signals Directorate, Melbourne, Monash University, Newcastle, Port Kembla Data, Statistics, Sydney, The Bureau, There, They
related to United States · 8
CDC 3000 series → CDC, Internal Revenue Service, It, Operating System, Oregon State Open Shop, Oregon State University, OS3, The
Designer · 1
CDC 3000 series → Seymour Cray
Dimensions · 1
CDC 3000 series → Height : 191 cm (75 in) Length (double) : 214 cm (84 in) Length (single) : 114 cm (45 in) Width : 68 cm (27 in)
Manufacturer · 1
CDC 3000 series → Control Data Corporation
Successor · 1
CDC 3000 series → CDC 6000 series

Important terminology

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

Important terminology

cdc series 3000 used systems system 3300 machines state 6000 university 6600 memory control data 24-bit 3800 3600 replaced upper

CDC 3000 series relationships Subject–Predicate–Object triples

TTTA extracted 32 structured relationships around CDC 3000 series. Examples in this analysis include CDC 3000 series → Designer → Seymour Cray and CDC 3000 series → Dimensions → Height : 191 cm (75 in) Length (double) : 214 cm (84 in) Length (single) : 114 cm (45 in) Width : 68 cm (27 in). The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
CDC 3000 seriesDesignerSeymour Cray1.00infobox
CDC 3000 seriesDimensionsHeight : 191 cm (75 in) Length (double) : 214 cm (84 in) Length (single) : 114 cm (45 in) Width : 68 cm (27 in)1.00infobox
CDC 3000 seriesManufacturerControl Data Corporation1.00infobox
CDC 3000 seriesSuccessorCDC 6000 series1.00infobox
relocationinstance ofHowever the systems do diverge from each other in areas0.80text
the BDP instructionsinstance ofHowever the systems do diverge from each other in areas0.80text
CDC 3000 seriesrelated to OceaniaThere0.60section
CDC 3000 seriesrelated to OceaniaCDC0.60section
CDC 3000 seriesrelated to OceaniaAustralia0.60section
CDC 3000 seriesrelated to OceaniaCSIRO0.60section
CDC 3000 seriesrelated to OceaniaCanberra0.60section
CDC 3000 seriesrelated to OceaniaMelbourne0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around CDC 3000 series bring nearby vocabulary together. In this analysis, examples include Series, Used and Machines. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • CDC 3000 series
    • Series
    • Used
    • Machines
    • Data
    • University
    • State
    • System
    • Systems
    • 1960s
    • First
    • Also
    • Installed
  • cdc 3000 series
    • Series
    • Machines
    • Used
    • Also
    • Upper
    • Memory
    • Data
    • Lower
    • University
    • State
    • System
    • Systems
  • cdc 1604
    • Series
    • Used
    • Machines
    • Data
    • University
    • State
    • System
    • Systems
    • 1960s
    • First
    • Also
    • Installed
  • cdc 924
    • Series
    • Used
    • Machines
    • Data
    • University
    • State
    • System
    • Systems
    • 1960s
    • First
    • Also
    • Installed
  • cdc 6000 series
    • Series
    • Machines
    • Used
    • Also
    • Upper
    • Memory
    • Data
    • Lower
    • University
    • State
    • System
    • Systems
  • cdc cyber
    • Series
    • Used
    • Machines
    • Data
    • University
    • State
    • System
    • Systems
    • 1960s
    • First
    • Also
    • Installed
  • cdc 6600
    • Series
    • Used
    • Machines
    • Data
    • University
    • State
    • System
    • Systems
    • 1960s
    • First
    • Also
    • Installed
  • upper 3000 series
    • 48-bit
    • Also
    • 24-bit
    • Control
    • Lower
    • Machines
    • Series
    • Upper
    • Memory
    • System
    • Systems
    • Computers

Connections between topic areas Semantic bridges

For CDC 3000 series, one of the stronger structural bridges in this analysis connects CDC 3000 series with Partial list of users. 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
CDC 3000 series — Partial list of users · splits 46 ⟂ 17
CDC 3000 series — Overview · splits 53 ⟂ 10
CDC 3000 series — Software · splits 54 ⟂ 9
CDC 3000 series — Architecture · splits 57 ⟂ 6
CDC 3000 series — Character set · splits 57 ⟂ 6
CDC 3000 series — Upper 3000 series · splits 60 ⟂ 3
CDC 3000 series — Lower 3000 series · splits 60 ⟂ 3

Map overview Semantic statistics

CDC 3000 series

Nodes63
Edges62
Triples32
Avg. degree1.97
Density0.031746
Components1

Source & methodology

TTTA analyzes the structure around CDC 3000 series to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Characters, Standards, Applications & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — CDC 3000 series · EN edition · Analysis: TopicsToTalkAbout

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