Processor Data Fetch Buffer Compression for Cache Optimization
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Solution Overview
Problem
Current data management techniques fail to effectively increase the size of random access memory (RAM) and cache memory, limiting performance due to inefficient compression methods applied far down the memory hierarchy, leading to increased bandwidth requirements and resource consumption.
Innovation Solution
A system and method that employs a processor executing separate instructions for compressed and uncompressed data, utilizing a data fetch buffer and hardware hash table accelerator to compress and uncompress data between the processor and memory cache, allowing for efficient data management and cache optimization through relative addressing and sentinel values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If compression is applied far down the memory hierarchy (between lowest level cache and main memory), then memory efficiency is improved, but performance is limited due to being in a non-performance-sensitive portion of the memory hierarchy
Solution Approach 1:
The patent introduces a buffer as an intermediary component between the CPU and memory cache. This buffer applies compression techniques at a location that is performance-sensitive (close to the CPU), rather than far down the memory hierarchy. The buffer acts as a mediator that transforms data between compressed and uncompressed forms, enabling performance improvements while maintaining memory efficiency.
Solution Approach 2:
The patent changes the parameter of where compression is applied in the memory hierarchy. Instead of applying compression at the traditional location between cache and main memory, the invention applies compression in a buffer adjacent to the CPU, changing the spatial parameter of the compression operation to a more performance-sensitive location.
2Adaptability or versatility
If separate instructions are used for compressed and uncompressed data, then data management flexibility is improved, but device complexity increases
Solution Approach 1:
The patent segments the instruction set into separate instructions for handling compressed data and uncompressed data. This segmentation allows the system to optimize for each data type independently, improving data management flexibility. The buffer is also segmented into different regions for handling different types of data (compressed vs. uncompressed).
Data Source
AI summary
A system and method for managing data includes executing a set of instructions which are used for operating on compressed data and another set of instructions (e.g., different instructions) which are used for operating on uncompressed data.