Multi-core distributed processing for machine vision applications

Abstract

Embodiments of an apparatus including a first processor core having a local agent running thereon, the agent comprising a local process and a proxy agent and a second processor core having a remote agent running thereon, the remote agent being an instance of the local agent. A shared memory wherein coupled to the first processor core and the second processor core, wherein the local agent and the remote agent communicate via the shared memory. Other embodiments are disclosed and claimed.

Description

technical field [0001] The present invention relates generally to data processing, and in particular, but not exclusively, to multi-core distributed processing for machine vision applications. Background technique [0002] Microprocessors using multiple cores have improved computing speed for many applications, but not all applications benefit significantly from multi-core processing. For those types of applications that do benefit from a multi-core implementation, the required code can be complex and difficult to maintain due to the need for communication and coordination between cores. [0003] One implementation of multi-core software uses Remote Procedure Calls (RPC) to communicate and coordinate among the cores, but this approach has some disadvantages, notably the associated overhead and software complexity required for client and server cores to implement RPC Spend. Implementation of the RPC layer involves: splitting the code onto two processors or cores, one of whi...

AI Technical Summary

Problems solved by technology

This involves RPC modules on two cores and does not provide an easily maintainable or upgradeable architecture

Additionally, the transfer of data between cores can consume processing time and memory bandwidth

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