Hardware Accelerator Compression Modes Using Queue-Aware Level Selection
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Solution Overview
Problem
Existing hardware accelerators for file compression face challenges in supporting multiple compression levels to maintain consistency across revisions while managing hardware architecture changes, leading to increased complexity and memory burden, and often fail to select optimal compression settings based on data utilization and compressibility.
Innovation Solution
A programmable circuitry-based apparatus that determines compression levels dynamically, either based on a predetermined value or queue status, using CPU performance data and compression long-match hints to efficiently select the appropriate level for data compression.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple compression levels are supported in hardware accelerators to maintain consistency across revisions, then reliability is improved, but device complexity increases
Solution Approach 1:
The patent implements dynamic compression level selection where the hardware accelerator can adaptively choose different compression levels based on queue status and data characteristics. The system transitions from static fixed compression levels to dynamic adjustable levels, allowing the hardware to optimize performance based on real-time conditions while maintaining support for multiple compression algorithms through a unified adaptive framework.
Solution Approach 2:
The patent changes the parameter of compression level from a fixed hardware configuration to a dynamically selectable parameter. The system can adjust compression levels based on queue depth, data compressibility estimates, and performance requirements, allowing the same hardware architecture to support multiple compression levels without requiring separate hardware paths for each level.
2Adaptability or versatility
If multiple compression levels are supported in hardware accelerators, then adaptability is improved, but manufacturing precision requirements increase
Solution Approach 1:
The patent creates a universal hardware accelerator architecture that can perform multiple compression levels through a single unified design. The system uses a common compression engine that can be configured to operate at different compression levels by adjusting operational parameters and algorithm selection, rather than requiring separate dedicated hardware for each compression level, thereby improving adaptability while maintaining manufacturing feasibility.
3Productivity
If compression levels are selected based on queue status and data characteristics, then productivity is improved, but device complexity increases
Solution Approach 1:
The patent implements feedback mechanisms where the compression system continuously monitors queue status, data characteristics, and performance metrics to dynamically adjust compression level selections. The system uses feedback from queue depth information and compressibility estimates to make real-time decisions about optimal compression levels, improving productivity through adaptive control while managing complexity through systematic feedback loops.
Solution Approach 2:
The compression system performs self-optimization by automatically selecting appropriate compression levels based on its own operational state and data characteristics without requiring external intervention. The hardware accelerator autonomously adjusts its compression parameters based on queue status and data analysis, improving productivity through self-service decision-making while keeping control logic manageable through rule-based autonomous operation.
Data Source
AI summary
This disclosure relates generally to hardware accelerators and, more particularly, to methods and apparatus for compression modes in hardware accelerators. An example apparatus includes machine readable instructions, and programmable circuitry to at least one of instantiate or execute the machine readable instructions to determine if an indication of compression mode selection corresponding to first data is present, if the indication is not present, select a compression level for the first data based on a predetermined value, and if the indication is present, determine the compression level for the first data based on a status of a queue of the programmable circuitry.