Data Processing Interface for Electronic Device Compression
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Solution Overview
Problem
Conventional solutions for compressing data in IP modules require complex processing, making it difficult to provide a uniform compression scheme for improving bandwidth utilization and reducing power consumption between IP modules and storage units.
Innovation Solution
An electronic device with a processor and data processing interface that compresses raw data from multiple processing units into compressed data and compression indicators, allowing for efficient data transmission and storage, reducing the amount of data exchanged between IP modules and storage units.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If conventional compression processing is applied to IP modules, then data compression is achieved, but the processing becomes complicated and requires extra modification on IP modules
Solution Approach 1:
The patent extracts the compression function from the IP modules and places it in a separate data processing interface. This interface is coupled to Q processing units among N processing units and is responsible for compressing raw data received from these units. By taking out the compression functionality, the IP modules themselves remain simple and unchanged, while still achieving data compression through the dedicated interface.
Solution Approach 2:
The data processing interface acts as an intermediary between the IP modules and the memory. It receives raw data from Q processing units, compresses the data, and then transmits the compressed data to memory. This intermediary approach allows compression to be performed without requiring modifications to the IP modules themselves, resolving the contradiction between achieving compression and maintaining simplicity.
2Productivity
If data exchange between IP modules and storage units is increased, then processing capability is improved, but power consumption and chip cost increase
Solution Approach 1:
The patent changes the parameter of data representation from uncompressed raw data to compressed data. By applying compression algorithms in the data processing interface, the same information is transmitted using fewer bits. This parameter change reduces the volume of data exchange between processing units and memory, thereby reducing power consumption and chip cost while maintaining processing capability.
3Adaptability or versatility
If no uniform compression scheme is provided, then IP modules can operate independently, but bandwidth utilization between IP modules and storage unit cannot be improved
Solution Approach 1:
The data processing interface is designed with universal functionality to handle compression for multiple types of processing units (image processing units, video processing units, display processing units, etc.). This single interface can serve Q different processing units with a unified compression scheme, improving bandwidth utilization without compromising the independence of individual processing units. The interface adapts to different data types while maintaining a consistent compression approach.
Data Source
AI summary
The present disclosure provides an electronic device and an information processing method. The electronic device comprises: a processor which comprises N processing units to process data and perform data input and output; a data processing interface coupled to Q processing units among the N processing units, which compresses raw data received from the Q processing units to obtain compressed data; and a memory coupled to the data processing interface, which receives and stores the compressed data, where N≧1 and 1≦Q≦N.


