Compression Assist Instructions for Low-Power FSE Encoding
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Solution Overview
Problem
Compression and decompression processes in portable computing devices are inefficient due to the high performance and power consumption costs associated with complex compression algorithms, which can be a bottleneck in devices with limited power supplies.
Innovation Solution
The implementation of compression assist instructions in processors that enhance the performance and reduce power consumption of compression and decompression tasks by utilizing vector operations and specialized instructions for bit stack read and write operations, allowing for more efficient execution of algorithms like Finite State Entropy (FSE) compression.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If complex compression algorithms are used to improve compression ratio, then compression effectiveness is improved, but performance and power consumption increase
Solution Approach 1:
The patent divides the compression algorithm into distinct phases (entropy encoding, FSE encoding, bit packing) and implements each phase as separate hardware-assisted instructions. This segmentation allows the processor to execute compression tasks in modular stages, improving overall performance while maintaining high compression ratios through specialized hardware support for each phase.
Solution Approach 2:
The patent introduces intermediate data structures (symbol tables, bit stacks, temporary buffers) that facilitate efficient data transformation between different encoding phases. These intermediaries enable the complex compression algorithm to be broken down into manageable steps that can be accelerated by hardware assist instructions, resolving the contradiction between algorithm complexity and execution performance.
2Quantity of substance
If complex compression algorithms are used to improve compression ratio, then compression effectiveness is improved, but power consumption increases
Solution Approach 1:
The patent implements self-service mechanisms where the compression hardware assist instructions automatically manage bit packing, symbol table generation, and bit stack operations without requiring extensive software intervention. This reduces the overall computational burden and power consumption while maintaining high compression ratios through efficient hardware-accelerated operations.
Solution Approach 2:
The patent dynamically adjusts compression parameters (such as symbol frequency thresholds, bit allocation, and table sizes) based on the input data characteristics. By changing parameters adaptively, the system achieves high compression ratios for diverse data types while optimizing power consumption by avoiding unnecessarily complex encoding for already-compressed or random data.
3Device complexity
If software-based compression is used to reduce hardware complexity, then device complexity is reduced, but performance and power efficiency deteriorate
Solution Approach 1:
The patent merges software compression algorithms with hardware assist instructions, creating a hybrid architecture where the processor core executes compression software while specialized hardware units accelerate specific operations (bit packing, symbol lookup, bit stack management). This combination maintains relatively simple hardware while achieving performance close to dedicated compression hardware, resolving the contradiction between hardware complexity and performance.
4Device complexity
If software-based compression is used to reduce hardware complexity, then device complexity is reduced, but power consumption increases
Solution Approach 1:
The patent replaces purely software-based compression mechanisms with hardware-assisted instructions that execute compression operations more efficiently at the processor level. This substitution reduces the number of software instruction cycles required, thereby lowering power consumption while maintaining acceptable hardware complexity through the use of processor-integrated assist instructions rather than dedicated compression hardware.
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.