Hierarchical Routing Matrix for Configurable Feature Cell Connections
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Solution Overview
Problem
Conventional pattern-recognition processors face challenges in meeting performance requirements due to limitations in connection distance, speed, and configurability, which leads to bottlenecks in processing large volumes of data for pattern recognition tasks.
Innovation Solution
The implementation of a multi-level hierarchical routing matrix in pattern-recognition processors, which enables programmable and configurable connections between feature cells, allows for efficient next-state routing and supports high-throughput pattern recognition by optimizing the routing of input and output signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If conventional processors use physical wires connected to memory elements for connections, then the structure is simple and easy to manufacture, but the connection distance, speed, and configurability are insufficient to meet performance requirements
Solution Approach 1:
The patent replaces conventional physical wire connections with a field-based routing matrix system that uses signal propagation through a shared medium (bus) to establish connections. Instead of dedicated physical pathways, the system uses a common communication channel with temporal multiplexing, substituting mechanical/electrical direct connections with a field-mediated approach that enables higher speeds and reconfigurability.
Solution Approach 2:
The routing matrix provides a universal connection mechanism that can dynamically establish any connection pattern needed for different pattern recognition tasks. The same physical infrastructure (the bus and routing matrix) serves multiple functions: connecting different feature cells, supporting various connection topologies, and enabling reconfiguration for different algorithms, replacing the need for dedicated wiring for each connection type.
2Adaptability or versatility
If conventional processors use fixed connections, then the device complexity is low, but the configurability and adaptability for different pattern recognition tasks are limited
Solution Approach 1:
The patent implements dynamic reconfigurability through the routing matrix, which can change connection patterns in real-time based on the pattern recognition task requirements. The system transitions from static, fixed connections to dynamic, programmable connections that can be adjusted during operation, allowing the same hardware to adapt to different algorithms and data patterns through controlled signal routing.
3Productivity
If multiple patterns are searched sequentially one at a time, then the device complexity is low, but the processing time and productivity decrease with increasing number of patterns
Solution Approach 1:
The patent enables continuous pattern recognition processing by allowing multiple patterns to be searched simultaneously through parallel feature cell operations. The routing matrix maintains continuous data flow to multiple destinations, preventing idle time between pattern searches and enabling sustained high-speed processing of multiple patterns without sequential delays.
Data Source
AI summary
Multi-level hierarchical routing matrices for pattern-recognition processors are provided. One such routing matrix may include one or more programmable and/or non-programmable connections in and between levels of the matrix. The connections may couple routing lines to feature cells, groups, rows, blocks, or any other arrangement of components of the pattern-recognition processor.