Parallel Decompression Circuit Using Fixed-Length Symbol Decoding
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Solution Overview
Problem
Integrated circuits face challenges in efficiently decompressing data due to limitations in processing speed and area constraints when implementing data decompression, particularly with variable-length encoding techniques, which can result in increased complexity and cost, making it difficult to meet timing and area requirements.
Innovation Solution
A decompression circuit using a fixed-length encoding technique is proposed, where each symbol is represented by a fixed number of bits, allowing for parallel processing and reduced complexity, enabling faster decompression while maintaining a balance between speed and area efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of substance
If variable-length encoding techniques are used for data decompression, then compression ratio is improved, but processing speed and circuit complexity increase
Solution Approach 1:
The decompression circuit is divided into multiple parallel decoder circuits, each handling a specific portion of the encoded data stream. This segmentation allows simultaneous processing of multiple data segments, achieving high-speed decompression while maintaining manageable complexity in each individual decoder unit.
Solution Approach 2:
The patent transitions from sequential processing to parallel processing by adding a spatial dimension to the decompression architecture. Multiple decoder circuits operate simultaneously on different portions of the data, converting the time-consuming sequential operation into a spatially distributed parallel operation that achieves both speed and efficiency.
2Loss of substance
If variable-length encoding techniques are used for data decompression, then compression ratio is improved, but processing speed decreases
Solution Approach 1:
The encoded data stream is pre-organized into fixed-length segments before being fed to the parallel decoder circuits. This preliminary segmentation prepares the data for efficient parallel processing, allowing each decoder to work on predetermined portions without requiring complex dynamic allocation during decompression, thereby increasing processing speed.
Solution Approach 2:
The data stream is segmented into multiple parallel processing channels, each handled by a dedicated decoder circuit. This segmentation enables simultaneous decompression of multiple segments, dramatically increasing overall decompression throughput while maintaining the variable-length encoding benefits for compression ratio.
3Productivity
If fixed-length encoding is used for data decompression, then processing speed and area efficiency are improved, but compression ratio decreases
Solution Approach 1:
The parallel decoder architecture is designed to handle both fixed-length and variable-length encoded data streams. Each decoder circuit can process universal data formats, allowing the system to achieve high-speed decompression with fixed-length encoding while retaining the capability to process variable-length encoded data when compression ratio is prioritized over speed.
Data Source
AI summary
Provided are systems and methods, including an integrated circuit, for data decompression of data encoded using a fixed-length encoding technique. For a data set where some symbols appear more frequently than others, the frequent symbols can be encoded into a short encoded symbol, and the remaining symbols can be encoded into a long encoded symbol. A decompression circuit can include decoder circuits that, upon receiving a set of input bits, can determine whether the set of input bits include one long encoded symbol or one or more short encoded symbols. The decoder circuit can then decode the one long encoded symbol or the one or more short encoded symbol. The fixed length of the encoded symbols can enable the decompression circuit to output decoded symbols at a same rate at which the circuit receives encoded symbols.