Seymour Roger Cray (September 28, 1925 – October 5, 1996) was an American electrical engineer, computer scientist, mathematician, and supercomputer architect who designed a series of computers that were the fastest in the world for decades, and founded Cray Research, which built many of these machines. Called "the father of supercomputing", Cray has been…
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Seymour Cray topic overview
The analysis highlights Works, Career, Companies and Technology as prominent areas in the source structure around Seymour Cray.
Related topics
92
Source areas
5
Connected nodes
97
Extracted relationships
63
Concept neighborhoods
31
Bridge connections
97
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.
Career · 46 topics
Overview · 17 topics
Early life · 16 topics
Personal life · 11 topics
Posthumous · 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.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Known for
Supercomputers
Alma mater
University of Minnesota
Born
Seymour Roger Cray (1925-09-28)September 28, 1925 Chippewa Falls, Wisconsin, US
Children
3
Died
October 5, 1996(1996-10-05) (aged 71) Colorado Springs, Colorado, US
Fields
Applied mathematics, computer science, and electrical engineering
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Seymour Cray connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Seymour Cray shows recurring relationship patterns in the source. For example, Seymour Cray → An Appreciation, Bell, CDC, CDC STAR-100, Charles, Charles Babbage Institute, Control Data Corporation, Discussion, Don, February, Gordon, Howard, ISBN, John Wiley, Microsoft Research, Minnesota Digital Conservancy, Murray, November, Pagelkopf, Personal Computer World Another extracted example is Seymour Cray → Advanced Studies, Biological Computer, Collaborating, FL, Gallium Arsenide, May, Molecular Biologists Should Start, November, Orlando, Quotations, Remarks, Seymour Cray Oral History, Shannon Center, Supercomputing, Tour, University, University Video CommunicationsAn Imaginary, Virginia, Why Computer Professionals, WikiquoteWhat's All This About. Use these groups to spot repeated connection types before inspecting the individual relationships.
Seymour Cray
Top relations
related to References· 29
Seymour Cray → An Appreciation, Bell, CDC, CDC STAR-100, Charles, Charles Babbage Institute, Control Data Corporation, Discussion, Don, February, Gordon, Howard, ISBN, John Wiley, Microsoft Research, Minnesota Digital Conservancy, Murray, November, Pagelkopf, Personal Computer World
related to External links· 21
Seymour Cray → Advanced Studies, Biological Computer, Collaborating, FL, Gallium Arsenide, May, Molecular Biologists Should Start, November, Orlando, Quotations, Remarks, Seymour Cray Oral History, Shannon Center, Supercomputing, Tour, University, University Video CommunicationsAn Imaginary, Virginia, Why Computer Professionals, WikiquoteWhat's All This About
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 63 structured relationships around Seymour Cray. Examples in this analysis include Seymour Cray → Alma mater → University of Minnesota and Seymour Cray → Born → Seymour Roger Cray (1925-09-28)September 28, 1925 Chippewa Falls, Wisconsin, US. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Seymour Cray
Alma mater
University of Minnesota
1.00
infobox
Seymour Cray
Born
Seymour Roger Cray (1925-09-28)September 28, 1925 Chippewa Falls, Wisconsin, US
1.00
infobox
Seymour Cray
Children
3
1.00
infobox
Seymour Cray
Died
October 5, 1996(1996-10-05) (aged 71) Colorado Springs, Colorado, US
1.00
infobox
Seymour Cray
Fields
Applied mathematics, computer science, and electrical engineering
1.00
infobox
Seymour Cray
Known for
Supercomputers
1.00
infobox
Seymour Cray
Relatives
Andrew Cray (grandson)
1.00
infobox
Seymour Cray
Spouse(s)
Verene Voll (1947–1978; divorced) Geri M. Harrand
1.00
infobox
Seymour Cray
Workplaces
Engineering Research Associates Control Data Corporation Cray Research Cray Computer Corporation SRC Computers
1.00
infobox
Seymour Cray
related to External links
Seymour Cray Oral History
0.60
section
Seymour Cray
related to External links
Wiktionary-logo-en-v2
0.60
section
Seymour Cray
related to External links
Quotations
0.60
section
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Seymour Cray bring nearby vocabulary together. In this analysis, examples include Control, Src and Corporation. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Seymour Cray
Control
Src
Corporation
Data
Engineering
Computers
Design
Research
Seymour
Supercomputer
University
Computer
seymour cray
Control
Src
Corporation
Data
Engineering
Computers
Design
Research
Seymour
Supercomputer
University
Computer
computer scientist
Seymour
World
Corporation
Engineering
Cray
Control
Src
Data
One
Research
Computers
University
cray research
Engineering
Laboratory
Design
Seymour
Chippewa
Computers
Control
Src
Computer
Corporation
Data
Falls
cdc 7600
Design
Era
Machines
Computers
Cray
Data
Project
One
Falls
Seymour
Chippewa
Company
cdc 8600
Design
Era
Machines
Computers
Cray
Data
Project
One
Falls
Seymour
Chippewa
Company
cdc star-100
Design
Era
Machines
Computers
Cray
Data
Project
One
Falls
Seymour
Chippewa
Company
chippewa falls, wisconsin
Falls
Laboratory
Research
Src
New
Computers
Control
Corporation
Data
Engineering
Project
Cray's
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Seymour Cray, one of the stronger structural bridges in this analysis connects Seymour Cray with Career. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Seymour Cray
Nodes98
Edges97
Triples63
Avg. degree1.98
Density0.020408
Components1
Source & methodology
TTTA analyzes the structure around Seymour Cray to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Works, Career, Companies & Technology, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
