State Machine Engine Overflow Detection for Parallel Pattern Matching
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Solution Overview
Problem
Conventional computing systems face inefficiencies in pattern recognition tasks due to the need to search large data streams for multiple patterns sequentially, leading to bottlenecks and slowed data processing, especially as the number of patterns increases.
Innovation Solution
A state machine engine with hierarchical, parallel finite state machine lattices that analyze data streams in parallel, allowing multiple patterns to be recognized simultaneously across a large number of criteria without slowing down the data stream, utilizing a compiler to convert source code into a binary image for configuring the FSM lattice.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple patterns are searched sequentially in a data stream, then pattern recognition accuracy is maintained, but processing speed deteriorates and data stream throughput is reduced
Solution Approach 1:
The patent divides the pattern recognition task into multiple independent finite state machine circuits, each responsible for detecting a specific pattern. These circuits operate in parallel on the same data stream, allowing simultaneous detection of multiple patterns without interfering with each other's accuracy while dramatically improving processing speed.
Solution Approach 2:
The patent combines multiple finite state machine circuits into a single integrated system that processes the data stream collectively. The outputs of all parallel circuits are merged to produce comprehensive pattern recognition results, enabling both high-speed parallel processing and accurate multi-pattern detection.
2Speed
If a large number of circuits operate in parallel to search for patterns, then processing speed is improved, but system complexity increases
Solution Approach 1:
The patent designs finite state machine circuits that can be configured to detect different patterns using the same underlying hardware architecture. This universal design allows the system to handle multiple pattern types without proportionally increasing hardware complexity, as each circuit can be reconfigured for different detection tasks.
Solution Approach 2:
The patent organizes multiple finite state machine circuits in a parallel dimensional arrangement, allowing them to operate simultaneously on the same data stream. This spatial parallelism enables high-speed processing while managing complexity through structured organization of the circuits rather than sequential processing.
3Adaptability or versatility
If the number of patterns to be identified increases, then pattern recognition comprehensiveness is improved, but processing delay increases
Solution Approach 1:
The patent segments the pattern detection function across multiple parallel circuits, each handling specific patterns. This segmentation allows the system to comprehensively identify numerous patterns simultaneously rather than sequentially, eliminating processing delays that would occur with sequential search while maintaining complete pattern coverage.
Data Source
AI summary
State machine engines are disclosed, including those having an inter-rank bus control system, which may include a register. The state machine engine may include a plurality of configurable elements, such that each of the plurality of configurable elements comprises a plurality of memory cells. These cells may analyze data and output a result of the analysis. The IR bus control system may halt a write operation of data to be analyzed by the cells based, at least in part, on one or more conditions.