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The Connection Machine (CM) is a member of a series of massively parallel supercomputers sold by Thinking Machines Corporation. The idea for the Connection Machine grew out of doctoral research on alternatives to the traditional von Neumann architecture of computers by Danny Hillis at Massachusetts Institute of Technology (MIT) in the early 1980s.…
The analysis highlights Culture, Art, Technology and Science as prominent areas in the source structure around Connection Machine.
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 Connection Machine shows recurring relationship patterns in the source. For example, Connection Machine → ACM Distinguished Dissertation, At TMC, Cambridge, CM-1 Connection Machine, Computer Science, CPU, Danny Hillis, Electrical Engineering, Hillis, Lisp, MA, Massachusetts, MIT, PhD, Sheryl Handler, The, Thinking Machines Corporation, TMC, Very, Waltham Another extracted example is Connection Machine → By, CM-1, CM-2, CM-200, Connection Machines, In, LED, LEDs, SIMD, Tamiko Thiel, The, The CM-1, Those. 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.
cm-1 cm-2 machine museum connection processors cm-5 design display technology machines computer datavault processor leds art permanent also would parallel
TTTA extracted 62 structured relationships around Connection Machine. Examples in this analysis include Connection Machine → CPU → Up to 65,536 1-bit processors (CM-1 and CM-2) and Connection Machine → Dimensions → ≈6 × 6 × 6 ft (1.8 × 1.8 × 1.8 m) (CM-1 and CM-2). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Connection Machine | CPU | Up to 65,536 1-bit processors (CM-1 and CM-2) | 1.00 | infobox |
| Connection Machine | Dimensions | ≈6 × 6 × 6 ft (1.8 × 1.8 × 1.8 m) (CM-1 and CM-2) | 1.00 | infobox |
| Connection Machine | FLOPS | 2.5 gigaFLOPS (CM-2) | 1.00 | infobox |
| Connection Machine | FLOPS | 65.5 gigaFLOPS (FROSTBURG CM-5) | 1.00 | infobox |
| Connection Machine | Manufacturer | Thinking Machines Corporation | 1.00 | infobox |
| Connection Machine | Memory | 512 MB (CM-2) | 1.00 | infobox |
| Connection Machine | Memory | 10 GB (FROSTBURG CM-5) | 1.00 | infobox |
| Connection Machine | Release date | 1986 (CM-1) | 1.00 | infobox |
| Connection Machine | Release date | 1987 (CM-2) | 1.00 | infobox |
| Connection Machine | Release date | 1991 (CM-5) | 1.00 | infobox |
| Connection Machine | Storage | Up to 80 GB with eight DataVaults (CM-1 and CM-2) | 1.00 | infobox |
| Connection Machine | Storage | ≈ 2 TB (FROSTBURG CM-5) | 1.00 | infobox |
| Connection Machine | Units sold | At least 70 | 1.00 | infobox |
| Connection Machine | Weight | 1,268 lb (575 kg) (CM-2) | 1.00 | infobox |
The concept neighborhoods around Connection Machine bring nearby vocabulary together. In this analysis, examples include Machine, Parallel and Design. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Connection Machine, one of the stronger structural bridges in this analysis connects Connection Machine with Designs. 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 Connection Machine to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Culture, Art, Technology & Science, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Connection Machine · EN edition · Analysis: TopicsToTalkAbout