Scalable Alternation Network for Content Addressable Memory
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Solution Overview
Problem
Existing processing networks using synchronous matching methods are inefficient, particularly in SIMD processors, requiring numerous clock cycles for operations like summation and division, and existing alternation networks suffer from poor speed due to gate delays and network size.
Innovation Solution
A scalable alternation network with cascaded logic gates and content addressable memory for efficient division and conquer algorithms, enabling fast asynchronous addition and data propagation across processors, reducing clock cycles required for operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If synchronous matching methods are used in processing networks, then implementation is straightforward, but processing speed is slow and clock cycles are excessive
Solution Approach 1:
The processing network is divided into multiple functional blocks including match blocks, alternation blocks, and sum blocks. Each block handles specific portions of the matching and summation operations independently, allowing parallel processing and significantly improving processing speed while maintaining manageable complexity through modular design.
Solution Approach 2:
The network employs dynamic signal propagation where match signals and alternation signals are generated and transmitted through the network in a coordinated sequence. The timing and propagation of signals are optimized to enable fast asynchronous addition, reducing the number of clock cycles required compared to static synchronous approaches.
2Productivity
If alternation networks with many processors are implemented, then processing capability increases, but execution speed decreases due to gate delay accumulation
Solution Approach 1:
The network transitions from sequential one-dimensional signal propagation through many gates to a more distributed multi-dimensional architecture. Match signals are generated simultaneously across multiple processors and propagated through parallel paths, reducing the effective path length and gate delay accumulation even as the number of processors increases.
Solution Approach 2:
Match signals are generated preliminarily and simultaneously across all processors before the alternation and summation operations begin. This preliminary generation of match signals allows subsequent operations to proceed in parallel without waiting for sequential signal propagation, maintaining high execution speed despite increased processing capability.
3Loss of time
If synchronous summation of each data value in turn is performed, then implementation is simple, but time consumption is excessive
Solution Approach 1:
The summation function is extracted from the traditional synchronous execution model and implemented through dedicated sum blocks that receive and process match signals in parallel. This extraction allows multiple summation operations to occur simultaneously across different data values, dramatically reducing time consumption while the communication complexity is managed through the structured alternation network architecture.
Solution Approach 2:
The network maintains continuous useful action by enabling parallel match signal generation, alternation, and summation operations. Instead of completing one summation before starting the next, multiple summation operations proceed simultaneously through the network, eliminating idle time and reducing overall time consumption despite increased communication requirements.
Data Source
AI summary
An alternation network for use with a content addressable memory for implementing a divide and conquer algorithm is described. The alternation network comprises: a plurality of alternation modules connected in series together, each module comprising: a plurality of cascaded logic gates arranged to propagate a match parity signal via the gates along at least part of a matching result vector, the matching result vector being generated by execution of a matching instruction on the content addressable memory, and the logic gates being configured to change the parity of the match parity signal in accordance with the matching result vector; and a vector output arranged to output a parity level vector of the propagated match parity signal present at the each gate of the plurality of logic gates; a logic network for dividing the matching result vector into an odd match vector and an even match vector representing respectively odd and even numbered elements of the matching result vector, by use of the parity level vector, and means for writing a selected one of the odd and even match vectors to the content addressable memory.