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Non-uniform memory access: Software support, Implementations & Overview

Non-uniform memory access (NUMA) is a computer memory design used in multiprocessing, where the memory access time depends on the memory location relative to the processor. Under NUMA, a processor can access its own local memory faster than non-local memory (memory local to another processor or memory shared between processors). NUMA is beneficial for…

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Non-uniform memory access topic overview

The analysis highlights Software support, Implementations and Overview as prominent areas in the source structure around Non-uniform memory access.

Related topics
66
Source areas
6
Connected nodes
72
Extracted relationships
5
Concept neighborhoods
30
Bridge connections
72

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.

Overview · 32 topics
Software support · 12 topics
Implementations · 11 topics
Cache coherent NUMA (ccNUMA) · 5 topics
Hardware support · 4 topics
NUMA vs. cluster computing · 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.

Explore all related topics Closing gaps

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.

Overview

Implementations

Cache coherent NUMA (ccNUMA)

NUMA vs. cluster computing

Software support

Hardware support

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Non-uniform memory access connects Entity context

See recurring relationship patterns around Non-uniform memory access before inspecting the individual extracted relationships.

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

numa memory systems processors processor cache access data support architecture ccnuma intel servers version shared computer later cpu performance software

Non-uniform memory access relationships Subject–Predicate–Object triples

TTTA extracted 5 structured relationships around Non-uniform memory access. Examples in this analysis include the MESIF protocol attempt to reduce the communication required to maintain cache coherency → instance of → cache coherency protocols and having memory pages shared between processes → instance of → together with the handling of cases. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
the MESIF protocol attempt to reduce the communication required to maintain cache coherencyinstance ofcache coherency protocols0.80text
having memory pages shared between processesinstance oftogether with the handling of cases0.80text
or the use of transparent huge pagesinstance oftogether with the handling of cases0.80text
those from Silicon Graphics were based on MIPS processorsinstance ofEarlier ccNUMA systems0.80text
the DEC Alpha 21364instance ofEarlier ccNUMA systems0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Non-uniform memory access bring nearby vocabulary together. In this analysis, examples include Memory, Numa and Processors. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Non-uniform memory access
    • Memory
    • Numa
    • Processors
    • Data
    • Cache
    • Performance
    • Shared
    • Processor
    • Allow
    • Software
    • Use
    • Support
  • non-uniform memory access
    • Memory
    • Processors
    • Time
    • Numa
    • Data
    • Cache
    • Faster
    • Processor
    • Performance
    • Shared
    • Computer
    • Allow
  • computer memory
    • Time
    • Numa
    • Processors
    • Data
    • Cache
    • Developed
    • Honeywell
    • Information
    • Italy
    • Multiprocessing
    • Performance
    • Shared
  • local memory
    • Numa
    • Processors
    • Data
    • Cache
    • Performance
    • Shared
    • Processor
    • Allow
    • Software
    • Use
    • Support
    • Faster
  • data general
    • Memory
    • Systems
    • Software
    • Cpu
    • Performance
    • Processors
    • Developed
    • Honeywell
    • Information
    • Italy
    • Computing
    • Faster
  • cache memory
    • Numa
    • Processors
    • Data
    • Cache
    • Memory
    • Use
    • Performance
    • Shared
    • Ccnuma
    • Processor
    • Allow
    • Software
  • multi-channel memory architecture
    • Numa
    • Processors
    • Data
    • Cache
    • Support
    • Performance
    • Shared
    • Cpu
    • Processor
    • Allow
    • Software
    • Use
  • virtual memory
    • Numa
    • Processors
    • Data
    • Cache
    • Performance
    • Shared
    • Processor
    • Allow
    • Software
    • Use
    • Support
    • Faster

Connections between topic areas Semantic bridges

For Non-uniform memory access, one of the stronger structural bridges in this analysis connects Non-uniform memory access with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Non-uniform memory access — Overview · splits 40 ⟂ 33
Non-uniform memory access — Software support · splits 60 ⟂ 13
Non-uniform memory access — Implementations · splits 61 ⟂ 12
Non-uniform memory access — Cache coherent NUMA (ccNUMA) · splits 67 ⟂ 6
Non-uniform memory access — Hardware support · splits 68 ⟂ 5
Non-uniform memory access — NUMA vs. cluster computing · splits 70 ⟂ 3

Map overview Semantic statistics

Non-uniform memory access

Nodes73
Edges72
Triples5
Avg. degree1.97
Density0.027397
Components1

Source & methodology

TTTA analyzes the structure around Non-uniform memory access to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Software support, Implementations & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Non-uniform memory access · EN edition · Analysis: TopicsToTalkAbout

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