Vector Data Processing for Discrete Address Overhead Reduction
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Solution Overview
Problem
Existing technologies face complications in processing discrete data points, leading to high data overheads during image recognition and other applications.
Innovation Solution
Converting discrete data points to continuous vector data addresses for processing, simplifying the computation process and reducing data overheads through vector computation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If discrete data points are processed using traditional methods, then processing can be performed, but the processing process becomes complicated and data overheads increase
Solution Approach 1:
The patent changes the parameter representation from discrete data points to continuous vector data. By transforming the data format and using vectorized parameters, the system achieves simpler processing operations and reduced data overheads while maintaining processing capability.
Solution Approach 2:
The patent replaces traditional mechanical-style discrete data processing with vector computation operations. This substitution enables more efficient data manipulation through vectorized mathematical operations, reducing both processing complexity and data overhead.
2Quantity of substance
If discrete data points are processed using traditional methods, then processing can be performed, but data overheads become large
Solution Approach 1:
The patent merges multiple discrete data points into continuous vector data structures. This consolidation reduces data overhead by eliminating redundant representations while maintaining the essential information needed for processing, thereby improving productivity.
Solution Approach 2:
By changing from discrete to continuous parameter representation, the system reduces the quantity of data needed to represent the same information, directly lowering data overheads while enhancing processing efficiency through vector operations.
Data Source
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AI summary
Provided are a data processing method and device, and a related product. The method comprises: when a decoded processing instruction is a data transfer instruction, determining a source data address and a destination data address of data corresponding to the processing instruction; and storing data read from the source data address to the destination data address to obtain vector data, wherein the source data address comprises multiple discrete data addresses, and the destination data address comprises continuous data addresses. By means of the method, the processing process can be simplified and the data overhead can be reduced.