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Coprocessor: History & Measurement
A coprocessor is a computer processor used to supplement the functions of the primary processor (the CPU). Operations performed by the coprocessor may be floating-point arithmetic, graphics, signal processing, string processing, cryptography or I/O interfacing with peripheral devices. By offloading processor-intensive tasks from the main processor…
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Coprocessor topic overview
The analysis highlights History and Measurement as prominent areas in the source structure around Coprocessor.
Related topics
94
Source areas
7
Connected nodes
101
Extracted relationships
90
Concept neighborhoods
35
Bridge connections
101
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.
Modern coprocessors · 28 topics
History · 21 topics
Other coprocessors · 15 topics
Functionality · 13 topics
Intel · 8 topics
Overview · 8 topics
Motorola · 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.
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 Coprocessor 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 Coprocessor shows recurring relationship patterns in the source. For example, Coprocessor → Acorn Computers, Acorn's, ARM, BBC Master, BBC Micro, China's Matrix, CP/M, CPU, CPUs, DOS, FPGA, Intel Knights Bridge, Matrix, National Semiconductor, PCI-e, Rather, Since, Software, Some, The MIPS Another extracted example is Coprocessor → AMD, By, CAD, Channel I/O, Coprocessors, CPU, Early, I/O, Intel, Math, Motorola, National, Some, The, To, Weitek FPUs, Where. Use these groups to spot repeated connection types before inspecting the individual relationships.
Coprocessor
Top relations
related to Other coprocessors· 27
Coprocessor → Acorn Computers, Acorn's, ARM, BBC Master, BBC Micro, China's Matrix, CP/M, CPU, CPUs, DOS, FPGA, Intel Knights Bridge, Matrix, National Semiconductor, PCI-e, Rather, Since, Software, Some, The MIPS
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 90 structured relationships around Coprocessor. Examples in this analysis include Coprocessor → is a → computer processor used to supplement the functions of the primary processor and Coprocessor → is a → proprietary accelerator that requires a CPU to run it. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Coprocessor
is a
computer processor used to supplement the functions of the primary processor
0.90
text
Coprocessor
is a
proprietary accelerator that requires a CPU to run it
0.90
text
the Intel 8087
instance of
while others
0.80
text
Motorola 68881
instance of
while others
0.80
text
National 32081 were more closely integrated with the CPU.Another form of coprocessor was a video display coprocessor
instance of
while others
0.80
text
as used in the Atari 8-bit computers
instance of
while others
0.80
text
TI-99/4A
instance of
while others
0.80
text
and MSX home computers
instance of
while others
0.80
text
which were called
instance of
while others
0.80
text
from Apple
instance of
such AI chips are in smartphones
0.80
text
and several Android phone vendors
instance of
such AI chips are in smartphones
0.80
text
graphics accelerators.Using FPGA
instance of
and two undefined coprocessors for other tasks
0.80
text
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 Coprocessor bring nearby vocabulary together. In this analysis, examples include Floating-point, Intel and Used. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Coprocessor
Floating-point
Intel
Used
Processor
Operations
Graphics
Hardware
Arithmetic
Calculations
Devices
Cpus
Cpu
coprocessor
Floating-point
Intel
Used
Processor
Operations
Graphics
Hardware
Arithmetic
Calculations
Devices
Cpus
Cpu
computer processor
Input
Output
Hardware
Main
Floating-point
Functions
Systems
Could
Coprocessor
Software
Tasks
System
main processor
Integrated
Hardware
Input
Output
Units
Main
Processor
Floating-point
Functions
Systems
Could
Processors
floating-point arithmetic
Arithmetic
Floating-point
Graphics
Intel
Hardware
Devices
Memory
Operations
Processors
Coprocessors
Processor
Integrated
coprocessor instructions
Floating-point
Intel
Used
Processor
Systems
Operations
Using
Graphics
Hardware
Arithmetic
Cpus
Software
floating-point
Arithmetic
Intel
Hardware
Processors
Coprocessors
Processor
Integrated
Operations
Main
Computers
Used
Calculations
dedicated graphics coprocessor
Gpus
Processing
Devices
Memory
Using
Floating-point
Intel
Units
Used
Processor
Operations
Graphics
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 Coprocessor, one of the stronger structural bridges in this analysis connects Coprocessor with Modern coprocessors. 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.
Coprocessor
Nodes102
Edges101
Triples90
Avg. degree1.98
Density0.019608
Components1
Source & methodology
TTTA analyzes the structure around Coprocessor to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
