Concurrent Constant Detection in Memory Block Compression
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Solution Overview
Problem
Existing data compression algorithms, such as LZO and Deflate, face challenges in achieving optimal memory savings while minimizing performance impacts, particularly due to high latency and resource inefficiencies when compressing memory pages with repetitive constant values.
Innovation Solution
A hardware-based constant detection mechanism is integrated into data compression systems to identify repetitive constant values within data blocks, allowing for metadata-based representation instead of full compression, thereby reducing latency and resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If aggressive compression algorithms like Deflate are used, then memory savings are improved, but compression and decompression latency increase
Solution Approach 1:
The patent performs constant detection during the compression operation itself, rather than as a separate preliminary step. The constant detection circuitry operates concurrently with the compression algorithm, allowing the system to identify constant data blocks and abort compression early without adding significant latency overhead.
Solution Approach 2:
The patent applies partial compression by detecting constant data blocks during the compression process and aborting compression for those blocks. This partial application of compression - only to non-constant data - achieves good memory savings while avoiding the full latency cost of aggressive compression algorithms applied to all data.
2Productivity
If software-based LZO compression is used, then compression speed is improved, but memory savings are reduced
Solution Approach 1:
The patent replaces software-based compression with a hardware-based compression engine that includes constant detection circuitry. This hardware implementation maintains the speed advantages of LZO while achieving better compression ratios through efficient constant data detection and metadata-based representation.
Solution Approach 2:
The patent uses a composite approach combining LZO compression with constant detection and metadata-based representation. This hybrid method applies LZO to non-constant data while using a specialized constant representation for constant data blocks, achieving superior overall compression without sacrificing speed.
3Loss of time
If constant detection is performed during compression, then latency is reduced for constant data blocks, but device complexity increases
Solution Approach 1:
The patent merges constant detection circuitry directly into the compression engine, allowing both functions to operate concurrently using the same data paths and resources. This integration reduces overall system complexity compared to having separate constant detection and compression systems, while still achieving early abort for constant data blocks.
Solution Approach 2:
The compression engine is designed to perform multiple functions: standard compression for non-constant data and constant detection with metadata-based representation for constant data. This multi-functional design achieves good compression for both data types without requiring completely separate processing paths, thereby limiting complexity increase.
Data Source
AI summary
Apparatus and method for detecting a constant data block are described herein. An apparatus embodiment includes compression circuitry to perform compression operations on a memory block; constant detection circuitry to, concurrently with performance of the compression operations on the memory block, determine that the memory block is a constant data block comprised of only repeat instances of a constant value; and controller circuitry to associate a first indication with the memory block based on the determination, the first indication usable for controlling whether to abort the compression operations or whether to discard a compressed memory block generated from the compression operations.