Finite State Machine Using Content Addressable Memory Blocks
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Solution Overview
Problem
Finite-state machines (FSMs) face inefficiencies in state transitions due to the potential for non-unique matches in content addressable memory (CAM) searches, leading to increased power consumption and complexity, especially when searching the entire CAM for each input term.
Innovation Solution
Implementing a system where the FSM searches only the subset of CAM blocks associated with the current state, using either fixed or dynamically changeable associations, to prevent multiple matches and reduce power usage by enabling only relevant blocks for searching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the entire CAM is searched for each input term, then all possible state transitions can be detected, but power consumption increases and multiple matches may occur
Solution Approach 1:
The CAM is divided into multiple blocks, where each block is associated with a specific current state of the FSM. During operation, only the block corresponding to the current state is enabled for searching, rather than searching the entire CAM. This segmentation reduces the search space and power consumption while maintaining accurate state transition detection.
Solution Approach 2:
The association between CAM blocks and FSM states can be dynamically changed through reconfiguration. This allows the system to adapt to different FSM configurations and state transitions by updating which CAM block is active for the current state, providing flexibility while maintaining the benefit of reduced search scope.
2Reliability
If the entire CAM is searched for each input term, then all possible state transitions can be detected, but device complexity increases
Solution Approach 1:
The CAM is divided into multiple blocks, where each block is associated with a specific current state of the FSM. During operation, only the block corresponding to the current state is enabled for searching, rather than searching the entire CAM. This segmentation reduces the search space and power consumption while maintaining accurate state transition detection.
3Reliability
If all CAM blocks are enabled for searching, then no matches are lost, but power consumption increases due to unnecessary searches
Solution Approach 1:
The unnecessary search operations are extracted and eliminated from the system. By enabling only the CAM block associated with the current state, the system performs only the necessary searches required for accurate state transition detection, removing the wasteful energy consumption from searching irrelevant blocks.
Solution Approach 2:
The association between CAM blocks and FSM states can be dynamically changed through reconfiguration. This allows the system to adapt to different FSM configurations and state transitions by updating which CAM block is active for the current state, providing flexibility while maintaining the benefit of reduced search scope.
Data Source
AI summary
An example finite state machine may include a content-addressable memory. The content-addressable memory may include blocks that respectively store input-terms of the finite state machine. The finite state machine may be configured to, for each received input: select a subset of the blocks of the content addressable memory to enable for searching, the subset being selected based on a current state of the finite state machine, and determine a next state of the finite state machine by searching the currently enabled subset of blocks of the content addressable memory based on the input.