Parallel Bitstream Decompression Using Speculative Token Decoding
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Solution Overview
Problem
Existing data decompression methods are sequential and bottlenecked by the need to decode each token in a compressed bitstream before proceeding, limiting decompression throughput and requiring significant computational resources, especially for large files.
Innovation Solution
The method employs speculative decoding with a training phase to identify valid tokens, allowing parallel processing of compressed data segments, which reduces the computational overhead and increases decompression speed by up to 900% through parallel threads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If sequential decoding of compressed data is used, then decoding accuracy is maintained, but decompression throughput is limited and processing time increases
Solution Approach 1:
The patent divides the compressed data bitstream into multiple segments that can be decoded in parallel. Each segment is assigned to a separate processing thread, allowing simultaneous decoding operations. The segments are created by identifying valid token positions and using them as boundaries for parallel processing regions.
Solution Approach 2:
The patent implements a training phase before parallel decoding where the system identifies valid token positions in the compressed data. This preliminary action establishes the foundation for parallel processing by determining where segments can safely begin decoding without compromising accuracy.
2Speed
If parallel processing is implemented, then decompression speed increases, but computational overhead and complexity increase
Solution Approach 1:
The patent introduces an intermediary training phase that bridges sequential and parallel processing. This training phase identifies valid token positions that serve as mediators for creating parallel processing segments, reducing the complexity of directly implementing parallel decoding without proper synchronization and validation mechanisms.
Solution Approach 2:
The patent creates multiple copies of the decoding logic in parallel threads, each processing a specific segment of the compressed data. This allows the system to leverage existing decoding algorithms while achieving parallel processing benefits, rather than redesigning the entire decoding system for parallel execution.
3Productivity
If parallel threads are used for decoding, then throughput improves, but ensuring correct decoding of all segments becomes more difficult
Solution Approach 1:
The patent implements feedback mechanisms where the results from parallel decoding segments are validated and verified. The system checks whether the decoded segments produce consistent and correct output, using the feedback from validation to ensure overall decoding accuracy is maintained across all parallel threads.
Solution Approach 2:
The training phase performs preliminary validation to identify valid token positions before parallel decoding begins. This preliminary action ensures that segment boundaries are correctly established, reducing the risk of decoding errors in parallel processing while maintaining high throughput.
Data Source
AI summary
Methods and apparatus to parallelize data decompression are disclosed. An example method selecting initial starting positions in a compressed data bitstream; adjusting a first one of the initial starting positions to determine a first adjusted starting position by decoding the bitstream starting at a training position in the bitstream, the decoding including traversing the bitstream from the training position as though first data located at the training position is a valid token; outputting first decoded data generated by decoding a first segment of the bitstream starting from the first adjusted starting position; and merging the first decoded data with second decoded data generated by decoding a second segment of the bitstream, the decoding of the second segment starting from a second position in the bitstream and being performed in parallel with the decoding of the first segment, and the second segment preceding the first segment in the bitstream.