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The Cray-3 was a vector supercomputer, Seymour Cray's designated successor to the Cray-2. The system was one of the first major applications of gallium arsenide (GaAs) semiconductors in computing, using hundreds of custom built ICs packed into a 1 cubic foot (0.028 m3) CPU. The design goal was performance around 16 GFLOPS, about 12 times that of the Cray-2.
The analysis highlights History and Companies as prominent areas in the source structure around Cray-3.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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.
The extracted context around Cray-3 shows recurring relationship patterns in the source. For example, Cray-3 → As CRI, At, By, C90, CCC, Chippewa Falls, Colorado Springs, Cray, Cray Computer Corporation, Cray Research, Cray's, Cray-1, Cray-2s, CRI, In, In November, The Cray-3, This, Wisconsin, With Another extracted example is Cray-3 → Colorado Springs Operating System, Cray Research, Cray Research's UNICOS, CSOS, FORTRAN, Much, NFS, PCC, TCP/IP, The Cray-3, UNICOS, Window System. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
cray cray-2 system would design performance company memory machine new first modules development gaas processor processors designs also used goal
TTTA extracted 64 structured relationships around Cray-3. Examples in this analysis include Cray-3 → related to background → Seymour Cray and Cray-3 → related to background → Cray-2. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Cray-3 | related to background | Seymour Cray | 0.60 | section |
| Cray-3 | related to background | Cray-2 | 0.60 | section |
| Cray-3 | related to background | Cray | 0.60 | section |
| Cray-3 | related to background | Although | 0.60 | section |
| Cray-3 | related to background | For | 0.60 | section |
| Cray-3 | related to background | Of | 0.60 | section |
| Cray-3 | related to CPU design | As | 0.60 | section |
| Cray-3 | related to CPU design | In | 0.60 | section |
| Cray-3 | related to CPU design | GaAs | 0.60 | section |
| Cray-3 | related to CPU design | The | 0.60 | section |
| Cray-3 | related to CPU design | These | 0.60 | section |
| Cray-3 | related to CPU design | Cray-2 | 0.60 | section |
The concept neighborhoods around Cray-3 bring nearby vocabulary together. In this analysis, examples include Cray, Cray-2 and System. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Cray-3, one of the stronger structural bridges in this analysis connects Cray-3 with Architecture. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Cray-3 to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Cray-3 · EN edition · Analysis: TopicsToTalkAbout