Non-uniform memory access¶
A shared-memory multiprocessor architecture in which access latency and bandwidth depend on which processor or node physically owns the addressed memory.
Core Idea¶
NUMA systems preserve one address space while dividing processors and memory into locality domains; allocation, scheduling, coherence and interconnect traffic determine whether locality improves performance. Processors access local memory through a short path and remote memory through an interconnect, so placing threads and data together reduces latency and contention. The abstraction is therefore identified by a declared carrier, a transformation or constraint over that carrier, and an invariant that tells an analyst whether the named structure is genuinely present.
Scope of Application¶
Non-uniform memory access belongs to computer architecture and is useful where the analyst can specify the typed computer architecture carrier, defining objects and relations, parameters, conventions, evidence, boundary cases, and comparison targets, then evaluate the processors and NUMA nodes, physical memory ownership, shared address space, local and remote latency and bandwidth, coherence, allocation and migration, scheduler affinity and topology discovery are explicit. The scope is broad within that domain but bounded by the need for the processors and NUMA nodes, physical memory ownership, shared address space, local and remote latency and bandwidth, coherence, allocation and migration, scheduler affinity and topology discovery are explicit. The entry records a descriptive analytical identity; practical use requires the governing domain's evidence, standards, and safety obligations.
Clarity¶
The abstraction clarifies a crowded vocabulary by making the processors and NUMA nodes, physical memory ownership, shared address space, local and remote latency and bandwidth, coherence, allocation and migration, scheduler affinity and topology discovery are explicit the center of the account. A claim should name the carrier, the governing operation or relation, the applicable assumptions, and the recognition test.
Manages Complexity¶
Without the abstraction, an analyst must reason directly over many local details: the carrier roles, admissibility assumptions, competing conventions, derived invariants, boundary cases, and proof or validation obligations specific to Non-uniform memory access. Non-uniform memory access compresses them into the roles in the structural signature. That compression permits comparison across instances without erasing the variables that determine validity. It also exposes which details may be varied safely and which are constitutive.
Abstract Reasoning¶
- Identify the carrier. State what the elements, states, objects, or observations are: the typed computer architecture carrier, defining objects and relations, parameters, conventions, evidence, boundary cases, and comparison targets. Reject examples whose alleged carrier belongs to a different problem.
- Lock the constitutive rule. Express the processors and NUMA nodes, physical memory ownership, shared address space, local and remote latency and bandwidth, coherence, allocation and migration, scheduler affinity and topology discovery are explicit independently of one notation or implementation.
Knowledge Transfer¶
Knowledge transfers strongly among subfields of computer architecture because they reuse the typed computer architecture carrier, defining objects and relations, parameters, conventions, evidence, boundary cases, and comparison targets, Processors access local memory through a short path and remote memory through an interconnect, so placing threads and data together reduces latency and contention., and type the carrier, state every parameter and convention in the definition, test that the processors and NUMA nodes, physical memory ownership, shared address space, local and remote latency and bandwidth, coherence, allocation and migration, scheduler affinity and topology discovery are explicit, compare the nearest accepted identity, and report counterexamples, uncertainty, and limiting cases.
Relationships to Other Abstractions¶
Current abstraction Non-uniform memory access Domain-specific
Parents (1) — outgoing typed relations
-
Non-uniform memory access is a kind of Locality Of Reference Prime
It remains its own entry because its identity is fixed by the processors and NUMA nodes, physical memory ownership, shared address space, local and remote latency and bandwidth, coherence, allocation and migration, scheduler affinity and topology discovery.
Hierarchy paths (6) — routes to 5 parentless roots
- Non-uniform memory access → is a kind of Locality Of Reference → is a kind of Recurrence
- Non-uniform memory access → is a kind of Locality Of Reference → presupposes Heavy-Tailed Distributions
- Non-uniform memory access → is a kind of Locality Of Reference → is a decomposition of Spatial Indexing → is a kind of Search and Retrieval → presupposes Trade-offs → presupposes Constraint
- Non-uniform memory access → is a kind of Locality Of Reference → is a decomposition of Spatial Indexing → is a kind of Search and Retrieval → presupposes Problem Space → is a kind of Representation → presupposes Abstraction
- Non-uniform memory access → is a kind of Locality Of Reference → is a decomposition of Spatial Indexing → is a kind of Search and Retrieval → presupposes Problem Space → is a decomposition of State and State Transition → includes Phase Space
- Non-uniform memory access → is a kind of Locality Of Reference → is a decomposition of Spatial Indexing → is a kind of Search and Retrieval → presupposes Problem Space → presupposes Problem Representation → is a kind of Representation → presupposes Abstraction
Neighborhood in Abstraction Space¶
Non-uniform memory access sits in a crowded region of the domain-specific corpus (4th percentile for distinctiveness): several abstractions share nearly its structure, so a description that fits it tends to fit its neighbors too.
Family — Memory Architecture & Address Spaces (25 abstractions)
Nearest neighbors
- Scratchpad memory — 0.94
- CPU cache — 0.94
- Instruction-level parallelism — 0.93
- Shared memory — 0.93
- Cache hierarchy — 0.93
Computed from structural-signature embeddings · 2026-10-25