Content-Addressable Memory Parallel Search for KD Tree Bottlenecks
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Solution Overview
Problem
Conventional Von Neumann KD trees experience long search times, necessitating the development of high-efficiency search implementations using content-addressable memory (CAM) for applications like nearest neighbor searches in high-dimensional data spaces.
Innovation Solution
A content-addressable memory (CAM) system is designed with a memory array and controller, utilizing analog CAM memory cells arranged in rows with input signals compared to stored contents, where match results are determined based on electrical characteristics of match lines, allowing for efficient data matching and search operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional Von Neumann KD tree is used for high-dimensional data search, then the search implementation is simple, but the search time is long
Solution Approach 1:
The patent replaces the sequential Von Neumann search mechanism with a content-addressable memory (CAM) based parallel search mechanism. The CAM structure enables simultaneous comparison of search keys against all stored data in parallel, substituting the traditional sequential access method and achieving significant speedup in high-dimensional data retrieval operations
Solution Approach 2:
The patent pre-loads the KD tree structure and all data nodes into the CAM memory before search operations begin. This preliminary action allows the search hardware to immediately perform parallel comparisons without sequential access delays, transforming the search process from a time-consuming sequential operation to an instant parallel lookup
2Productivity
If CAM memory is used for data matching, then search efficiency is improved, but device complexity increases
Solution Approach 1:
The patent divides the large-scale CAM memory into multiple banks or segments, each handling a portion of the KD tree data. This segmentation allows parallel search operations across different memory segments while reducing the complexity of any single memory unit, enabling scalable implementation of high-dimensional data structures
Solution Approach 2:
The patent introduces control logic and address generation units as intermediary components between the processor and CAM memory. These intermediaries manage the complex data flow and coordinate parallel search operations, abstracting the underlying memory complexity from the search algorithm while maintaining high search efficiency
Data Source
AI summary
A content-address memory (CAM) and an operation method are provided. The content-address memory comprises: a plurality of first signal lines; a plurality of second signal lines; and a plurality of CAM memory cells coupled to the first signal lines and the second signal lines, wherein in data match, a plurality of input signals are input into the CAM memory cells via the first signal lines; the input signals are compared with contents stored in the CAM memory cells; and a match result is determined based on an electrical characteristic of the second signal lines.