Memory Controller Prioritizing Compressed Data Writes
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Solution Overview
Problem
Current memory controllers do not effectively prioritize and manage compressed data in DDR5 memory systems, leading to suboptimal bandwidth utilization and performance efficiency.
Innovation Solution
A memory controller system that includes a cache line compression engine to compress data when the compression rate exceeds a predetermined threshold, prioritizing the write of compressed data over other tasks in the command queue, and a cache line decompression engine to decompress data upon read, utilizing error-correcting code bits for efficient data handling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If compressed data is prioritized in the command queue, then bandwidth utilization is improved, but device complexity increases
Solution Approach 1:
The compression indicator bit is prepared and attached to write commands in advance, before the data is actually written to memory. This preliminary tagging allows the memory controller to identify and prioritize compressed data without adding complex real-time analysis, thereby improving bandwidth utilization while keeping the added complexity minimal.
Solution Approach 2:
Instead of implementing a comprehensive complex prioritization system for all data, the patent applies a localized solution by using a single compression indicator bit specifically for identifying compressed data. This targeted approach improves bandwidth utilization for compressed data without requiring complex global prioritization mechanisms.
2Productivity
If compression and decompression operations are added, then data handling efficiency is improved, but device complexity increases
Solution Approach 1:
The compression and decompression functions are extracted as separate, dedicated circuit blocks within the memory controller. This modular extraction allows these complex operations to be implemented efficiently without overwhelming the overall device architecture, improving data handling efficiency while managing complexity through functional separation.
Solution Approach 2:
The memory controller is designed with multi-functionality, incorporating both compression and decompression capabilities within the same device. This universal design allows the controller to handle various data types and operations (compression, decompression, error correction, prioritization) without requiring multiple separate devices, improving overall data handling efficiency while consolidating complexity.
Data Source
AI summary
Apparatus, method, and system provided herein are directed to prioritizing cache line writing of compressed data. The memory controller comprises a cache line compression engine that receives raw data, compresses the raw data, determines a compression rate between the raw data and the compressed data, determines whether the compression rate is greater than a predetermined rate, and outputs the compressed data as data-to-be-written if the compression rate is greater than the predetermined rate. In response to determining that the compression rate is greater than the predetermined rate, the cache line compression engine generates a compression signal indicating the data-to-be-written is the compressed data and sends the compression signal to a scheduler of a command queue in the memory controller where writing of compressed data is prioritized.