Distributed Resource Space Initialization Without Copy Operations
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Solution Overview
Problem
Deep learning technologies require significant resource spaces that are often limited by the capacity of a single processing device, necessitating the use of distributed systems, but existing methods for initializing resource spaces in these systems are complex and inefficient.
Innovation Solution
A content initialization method that determines a space information of a first sub-space within a distributed system using size and identification information, and initializes it with a random seed and position information, allowing each device to independently initialize its allocated resource space without requiring shared spaces or complex copy operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Volume of stationary object
If distributed systems are used to overcome single device resource limitations, then resource space capacity is improved, but initialization complexity increases
Solution Approach 1:
The patent divides the distributed system into multiple devices, each independently initializing its own resource space sub-region. Each device segments the initialization task by using its device ID to calculate and initialize only its designated portion, avoiding the need for complex coordinated initialization across the entire distributed system.
Solution Approach 2:
Each device in the distributed system performs self-initialization of its allocated resource space sub-region without requiring external coordination or copying from other devices. The device uses its own device ID and the resource space size information to independently determine its sub-region boundaries and initialize it autonomously.
2Volume of stationary object
If traditional initialization methods are used in distributed systems, then resource space is allocated, but initialization efficiency deteriorates due to copy operations
Solution Approach 1:
The patent extracts the unnecessary copy operation step from the traditional initialization process. Instead of allocating resource space and then copying initialization data between devices, each device directly initializes its own sub-region in place, eliminating the extraction and transfer overhead.
Solution Approach 2:
Each device performs preliminary calculation of its resource space sub-region boundaries using its device ID and the total resource space size information before initialization. This preliminary determination of boundaries allows direct initialization without subsequent copy operations, improving efficiency.
3Ease of manufacture
If shared spaces are used for initialization, then resource allocation is simplified, but device independence is reduced
Solution Approach 1:
The patent creates a universal initialization method that works for all devices in the distributed system without requiring shared spaces. Each device uses the same initialization logic (based on device ID and resource space size) to independently determine and initialize its sub-region, making the method universally applicable while maintaining device independence.
Data Source
AI summary
The present disclosure provides a content initialization method and apparatus, an electronic device and a storage medium, which relates to a field of computer technology, in particular to fields of deep learning and distributed computing. The content initialization method is applied to any one of a plurality of devices included in a distributed system. A specific implementation scheme of the content initialization method is: determining, according to a size information of a resource space for the distributed system and an identification information of the any one of the plurality of devices, a space information of a first sub-space for the any one of the plurality of devices in the resource space, wherein the space information includes a position information of the first sub-space for the resource space; and determining an initialization content for the first sub-space according to a random seed and the position information.


