Processor Compression Instructions for Faster Low-Power Decompression
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Solution Overview
Problem
Compression and decompression processes in portable computing devices are inefficient, leading to significant performance and power consumption costs due to the complexity of effective compression algorithms, which negatively impacts storage and processing capabilities.
Innovation Solution
The implementation of compression assist instructions in processors, such as the Finite State Entropy (FSE) compression algorithm, which employs bit streams and bit stacks to improve parallel processing and reduce power consumption by optimizing decompression operations through vector instructions and specialized assist instructions like 'top' and 'pop' for bit stack management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a more effective, more complex compression algorithm is used, then compression ratio is improved, but performance and power consumption increase
Solution Approach 1:
The compression algorithm is divided into multiple independent stages: entropy coding stage, bit packing stage, and bit stream generation stage. Each stage can be independently optimized and executed in parallel where possible, reducing the performance penalty of complex compression while maintaining high compression ratios.
Solution Approach 2:
The patent introduces specialized compression assist instructions that operate in a different execution dimension from standard CPU instructions. These dedicated instructions handle bit manipulation and compression operations more efficiently, effectively adding a new dimension of optimization without increasing overall system complexity.
2Quantity of substance
If a more effective, more complex compression algorithm is used, then compression ratio is improved, but power consumption increases
Solution Approach 1:
By segmenting the compression process into distinct stages with specialized instructions, the patent enables more efficient power management. Each stage can be executed only when needed, and the segmented structure allows for better utilization of cache and registers, reducing redundant memory accesses and lowering power consumption.
Solution Approach 2:
The patent employs parameter changes in the form of variable-length bit packing and adaptive entropy coding that optimize the balance between compression ratio and computational complexity. By dynamically adjusting parameters based on input data characteristics, the system achieves high compression ratios while avoiding unnecessary computational overhead that would increase power consumption.
3Adaptability or versatility
If compression software is used instead of hardware, then flexibility is improved, but performance and power efficiency deteriorate
Solution Approach 1:
The patent creates a universal compression instruction set that can be implemented in software while providing performance接近 to hardware solutions. The compression assist instructions are designed to be universally applicable to different compression algorithms and data types, maintaining flexibility while achieving high performance through efficient instruction execution and parallel processing capabilities.
Data Source
AI summary
In an embodiment, a processor supports one or more compression assist instructions which may be employed in compression software to improve the performance of the processor when performing compression/decompression. That is, the compression/decompression task may be performed more rapidly and consume less power when the compression assist instructions are employed then when they are not. In some cases, the cost of a more effective, more complex compression algorithm may be reduced to the cost of a less effective, less complex compression algorithm.