Memory Interface Data Size Control for Lower Communication Power
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Solution Overview
Problem
As data processing devices increase in processing capacity and speed, they frequently communicate with memory devices, leading to significant power consumption in both the memory device and the memory interface, which is not efficiently managed by existing technologies.
Innovation Solution
A data processing device is designed with a data converter and controller that generate second data with a reduced size compared to first data, allowing for controlled power consumption by enabling or disabling the converter based on channel information and system conditions, thereby reducing power usage in the memory device and memory interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data processing speed and processing capacity are increased, then productivity is improved, but power consumption of memory device and memory interface increases
Solution Approach 1:
The patent extracts and removes redundant data from the first data before writing to memory. The data converter identifies and eliminates duplicate or unnecessary data elements, transmitting only essential information to the memory device. This reduction in data volume directly decreases the power consumption of the memory interface and memory device while preserving the necessary data processing productivity.
Solution Approach 2:
The patent changes the parameter of data size by converting first data into second data with reduced size. The data converter modifies data characteristics through compression, filtering, or selective transmission, transforming the data from its original state to a more efficient representation that consumes less power during memory operations while maintaining processing throughput.
2Use of energy by moving object
If data size written to memory is reduced, then power consumption of memory device and memory interface is reduced, but data integrity may be compromised
Solution Approach 1:
The patent implements feedback mechanisms where the data converter analyzes the characteristics of first data and adjusts the conversion process accordingly. By monitoring data patterns, redundancy levels, and importance metrics, the system provides feedback to optimize what data to retain and what to remove, ensuring that data integrity is maintained while achieving power consumption reduction through intelligent data size management.
3Use of energy by moving object
If data converter is always enabled to reduce data size, then power consumption is reduced, but device complexity increases
Solution Approach 1:
The patent applies dynamic control where the data converter's operation mode is adjusted based on real-time system conditions. The converter can switch between different conversion intensities or modes depending on data characteristics, workload demands, and power requirements. This dynamic approach allows the system to optimize power consumption without permanently increasing device complexity, as the converter adapts its behavior rather than operating at fixed maximum complexity.
Data Source
AI summary
A data processing device communicating with a memory device via a memory interface includes: at least one data processor configured to generate first data; a data converter configured to generate second data written to the memory device from the first data; and a controller configured to enable the data converter to generate the second data having a size less than that of the first data.