Compression Accelerator Sampling Circuit for Early Compression Abort
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Solution Overview
Problem
Existing data processing systems face inefficiencies in memory management due to the time-consuming nature of data compression, particularly when using software-based tools like zswap, which can lead to poor performance when dealing with incompressible data.
Innovation Solution
Implementing a hardware compression accelerator with early-abort circuitry that analyzes a subset of the data to determine if further compression is necessary, allowing for early termination of the process based on predetermined parameters, thereby reducing latency and improving performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If software-based compression tools like zswap are used to compress old data pages, then memory capacity is increased by storing compressed data in RAM, but system performance deteriorates due to the time-consuming compression process
Solution Approach 1:
The patent replaces software-based compression with a hardware compression accelerator that uses dedicated circuitry to perform compression operations. This substitution of mechanical/hardware systems for software-based approaches eliminates the performance penalty associated with software compression while maintaining the memory capacity benefits, as the hardware accelerator can compress data in parallel with other system operations without blocking the main processor.
Solution Approach 2:
The patent segments the compression process into two phases: a quick analysis phase that examines only a portion of the data to determine compressibility, and a full compression phase that is only initiated if the analysis indicates the data is compressible. This segmentation allows the system to quickly reject incompressible data without performing full compression, thereby improving overall system performance while still achieving memory savings for compressible data.
2Quantity of substance
If full compression is performed on all data pages, then memory savings are maximized, but latency increases due to processing time
Solution Approach 1:
The patent performs a preliminary analysis of the data before committing to full compression. The hardware accelerator quickly examines a sample portion of the data to determine if compression is likely to be effective, and only then proceeds with full compression if the preliminary analysis indicates success. This preliminary action filters out incompressible data early, preventing wasted processing time and reducing overall latency.
Solution Approach 2:
The patent applies partial compression analysis to a portion of the data rather than analyzing or compressing the entire data set upfront. By examining only a sample portion of the data to determine compressibility, the system performs less than the full action required for complete compression, thereby reducing latency while still achieving memory savings for data that proves to be compressible.
3Quantity of substance
If compression is performed on incompressible data, then memory space is reduced, but system performance deteriorates due to wasted processing time
Solution Approach 1:
The patent performs a preliminary analysis on a sample portion of the data to predict compressibility before initiating full compression. This preliminary action allows the system to identify incompressible data early and skip the full compression process, preventing wasted processing time and maintaining system performance while still achieving memory space reduction for data that is actually compressible.
Solution Approach 2:
The hardware compression accelerator provides feedback about the compressibility of data based on the preliminary analysis of a data portion. This feedback mechanism allows the system to make informed decisions about whether to proceed with full compression, avoiding the performance penalty of compressing incompressible data while still capturing memory savings opportunities when the feedback indicates compressibility.
Data Source
AI summary
An integrated circuit includes a compression accelerator to process a request from software to compress source data into an output file. The compression accelerator includes early-abort circuitry to provide for early abort of compression operations. In particular, the compression accelerator uses a predetermined sample size to compute an estimated size for a portion of the output file. The sample size specifies how much of the source data is to be analyzed before computing the estimated size. The compression accelerator also determines whether the estimated size reflects an acceptable amount of compression, based on a predetermined early-abort threshold. The compression accelerator aborts the request if the estimated size does not reflect the acceptable amount of compression. The compression accelerator may complete the request if the estimated size reflects the acceptable amount of compression. Other embodiments are described and claimed.