SYSTEM AND METHOD FOR ADAPTATION OF COHERENCE MODELS BETWEEN AGENTS

Patent №

US 9,542,316

Granted

2017-01-10

Filed 2015

Owner

ARTERIS, INC.

Lab

AI components

1

hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14970467

A system and method are disclosed for multiple coherent caches supporting agents that use different, incompatible coherence models. Compatibility is implemented by translators that accept coherency requests and snoop responses from an agent and accept snoop requests and coherency responses from a coherence controller. The translators issue corresponding coherency requests and snoop responses to the coherence controller and issue corresponding coherency responses and snoop requests to the agent. Interaction between translators and the coherence controller accord with a generic coherence model, which may be a subset, superset, or partially inclusive of features of any native coherence model. A generic coherence protocol may include binary values for each of characteristics: valid or invalid, owned or non-owned, unique or shared, and clean or dirty.

AI hardwareG06F 12/0815G06F 12/0831G06F 9/3017G06F 12/0817G06F 2212/1004G06F 2212/621

AI classification

AI hardware0.59
Natural language0.02
Evolutionary computation0.01
Knowledge representation0.00
Speech0.00
Vision0.00
Machine learning0.00
Planning0.00

Ownership

ARTERIS, INC.

assignment · 373040926

Assignors

FORREST, CRAIG STEPHEN, KRUCKEMYER, DAVID A.

On an employer assignment, the assignors are typically the inventors.

From the same owner

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