ClearSpeed Technology Ltd was a semiconductor company, formed in 2002 to develop enhanced SIMD processors for use in high-performance computing and embedded systems. Based in Bristol, UK, the company has been selling its processors since 2005. Its current 192-core CSX700 processor was released in 2008, but a lack of sales has forced the company to…
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ClearSpeed topic overview
The analysis highlights History, Technology, Companies and Products as prominent areas in the source structure around ClearSpeed.
Related topics
22
Source areas
3
Connected nodes
25
Extracted relationships
61
Concept neighborhoods
15
Bridge connections
25
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.
Products · 12 topics
History · 5 topics
Overview · 5 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.
Founded
Bristol, UK (2002 (2002))
Industry
Semiconductor industry
Headquarters
Bristol, UK
Number of employees
Less than 10 (2009)
Products
Coprocessors
Type
Private
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 ClearSpeed 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 ClearSpeed shows recurring relationship patterns in the source. For example, ClearSpeed → Advance, AIM, BAE Systems, ClearSpeed X620 Advance, CS301, CSX600, CSX700, CTO, ECC, FP32 GFLOPS, GFLOPS, In August, In February, In July, In June, In November, In September, John Gustafson, London Stock Exchange, MHz Another extracted example is ClearSpeed → Advance, Ambric, AMD, AMD FireStream, As, Cell BE, ClearSpeed Software Development Kit, CSX700, GB, GPGPU, It, KB, Nvidia, Nvidia Tesla, PCI Express, PicoChip, Related, SRAM, Texas Memory Systems, The. Use these groups to spot repeated connection types before inspecting the individual relationships.
ClearSpeed
Top relations
related to history· 28
ClearSpeed → Advance, AIM, BAE Systems, ClearSpeed X620 Advance, CS301, CSX600, CSX700, CTO, ECC, FP32 GFLOPS, GFLOPS, In August, In February, In July, In June, In November, In September, John Gustafson, London Stock Exchange, MHz
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 61 structured relationships around ClearSpeed. Examples in this analysis include ClearSpeed → Founded → Bristol, UK (2002 (2002)) and ClearSpeed → Headquarters → Bristol, UK. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
ClearSpeed
Founded
Bristol, UK (2002 (2002))
1.00
infobox
ClearSpeed
Headquarters
Bristol, UK
1.00
infobox
ClearSpeed
Industry
Semiconductor industry
1.00
infobox
ClearSpeed
Number of employees
Less than 10 (2009)
1.00
infobox
ClearSpeed
Products
Coprocessors
1.00
infobox
ClearSpeed
Type
Private
1.00
infobox
ClearSpeed
Website
ClearSpeed.com
1.00
infobox
AMD FireStream
instance of
and GPGPU stream processors
0.80
text
Nvidia Tesla
instance of
and GPGPU stream processors
0.80
text
ClearSpeed
related to External links
ClearSpeed Official
0.60
section
ClearSpeed
related to External links
URL
0.60
section
ClearSpeed
related to External links
PA105
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 ClearSpeed bring nearby vocabulary together. In this analysis, examples include Csx600, November and Technology. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
ClearSpeed
Csx600
November
Technology
Elements
Processing
Computing
Semiconductor
Two
Cards
Gflops
Mhz
Running
clearspeed
Csx600
November
Technology
Elements
Processing
Computing
Semiconductor
Two
Cards
Gflops
Mhz
Running
bristol
Uk
Com
Products
Semiconductor
Since
Two
Company
Technology
Csx700
Processor
Processors
Elements
uk
Bristol
Com
Products
Semiconductor
Since
Two
Company
Technology
Csx700
Processor
Processors
Elements
stream processors
Systems
Technology
Simd
Bristol
Computing
Semiconductor
Since
Uk
Cards
Csx600
November
Advance
london stock exchange
Delisted
Exchange
London
Stock
Since
Company
Released
Csx700
Processor
Clearspeed
products
Com
Semiconductor
Two
Uk
Technology
Elements
Processing
tokyo institute of technology
Two
Uk
Cards
Csx600
November
Advance
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 ClearSpeed, one of the stronger structural bridges in this analysis connects ClearSpeed with Products. 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.
ClearSpeed
Nodes26
Edges25
Triples61
Avg. degree1.92
Density0.076923
Components1
Source & methodology
TTTA analyzes the structure around ClearSpeed to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Technology, Companies & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
