finding

active

finding:efficient-hardware-support-for-large-n-dimensional-associative-memory-would-enable-implementations-of-diverse-object-models

Efficient hardware support for large n-dimensional associative memory would enable implementations of diverse object models.

Source paper

extracted_from

An association-based model of dynamic behaviour

(2011) · Piumarta, Ian

Neighborhood — ranked by edge-count

Communities (4)

community

Design principles for care-centered systems
members_of
Cross-scale frameworks linking spatial patterns, diagrams, and simplicity as expressions of care in design.
Denotational design and interface abstraction
members_of
Applies functional programming principles to UI structure via precise mathematical models, enabling formal verification and revealing computational architecture through interface design.
N-dimensional associative memory systems
members_of
Hardware-efficient architectures for high-dimensional content-addressable memory supporting distributed object representations.
N-dimensional associative memory unification
members_of
Parameterizable n-way associations subsume OOP, functional, and relational models under one framework.

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

Can efficient hardware support scale n-way associative lookup to practical language systems?question0.840
Central open question: whether hardware acceleration of the associative primitive could enable efficient implementations across diverse programming paradigms.
On a Model of Associative Memory with Huge Storage Capacity (Demircigil et al., 2017)concept0.828
Analytical result showing exponential power activation allows memory storage scaling as 2^(N/2); cited in context of Hopfield scaling.
Software implementations for all of the models/behaviours presented are common for n = 2, and can be made very efficient for α_i that map many objects onto a much smaller set of object families.claim0.805
Claim about current practical feasibility and efficiency of 2-way associative implementations.
Large Associative Memory Problem in Neurobiology and Machine Learning (Krotov & Hopfield, 2020)concept0.793
Paper proposing neurally plausible instantiation of Hopfield/transformer with feature neurons and memory neurons; used to derive place cell interpretation.
Garbage Collection in n-dimensional Associative Memoryclaim0.789
Piumarta argues the primary practical challenge is storage management: when any key becomes unreachable, all values indexed by that key must be deleted, requiring cooperation between primitive mechanism and garbage collector.
Cooperation between the associative memory primitive and storage management is required for efficient garbage collection, especially as n grows beyond 2.hypothesis0.788
Many apparently different object-oriented, functional, and relational mechanisms are closely related as variations within a general parameterizable n-way associative memory.claim0.781
A fast implementation of this primitive, possibly in hardware, could be the basis of efficient and compact implementations of a diverse range of programming language semantics and data structures.claim0.780
Claim that hardware-supported associative lookup would enable high-performance dynamic language runtimes.