Dynamic Memory Address Encoding for Coordinate-Biased Access
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Solution Overview
Problem
Conventional memory architectures fail to adequately reflect real-world characteristics of multi-dimensional data, leading to poor memory access performance due to coordinate bias in specific directions, which affects applications like robotics and vehicle navigation.
Innovation Solution
A memory architecture that dynamically determines an address encoding to encode multi-dimensional data, applying an interleaving technique to bit representations of coordinate values, ensuring that coordinates close to each other in multi-dimensional space are stored in proximity, thereby reducing coordinate bias and increasing cache hits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional linear memory addressing schemes are used, then memory can be directly and linearly addressed, but memory access performance deteriorates due to coordinate bias in specific directions
Solution Approach 1:
The patent applies dynamics by making the memory address encoding scheme adaptive and changeable based on observed access patterns. The system dynamically determines encoding parameters (such as bit allocation to different spatial dimensions) to match current access patterns, transforming the static linear addressing into a dynamic encoding system that optimizes performance for the specific access pattern being exhibited.
Solution Approach 2:
The patent changes parameters of the address encoding scheme based on observed access patterns. Specifically, it modifies the allocation of address bits to different spatial dimensions (x, y, z coordinates) to reflect the actual access patterns. When access patterns show preference for certain directions, the encoding parameters are adjusted to allocate more bits to those dimensions, thereby optimizing cache utilization and memory access performance.
2Ease of manufacture
If data is stored in linear memory locations, then storage is simplified, but spatial-temporal data characteristics are not reflected leading to poor access performance
Solution Approach 1:
The patent applies dimensionality change by mapping multi-dimensional spatial-temporal data (with coordinates in multiple spatial dimensions and time) into linear memory addresses through a specialized encoding scheme. The encoding preserves the spatial-temporal relationships by allocating specific bits to represent different dimensions, effectively embedding multi-dimensional structure within the one-dimensional linear address space.
Solution Approach 2:
The system dynamically adjusts the encoding parameters to reflect observed access patterns in spatial-temporal data. By monitoring which dimensions are accessed most frequently and adjusting the bit allocation accordingly, the system adapts the linear storage scheme to better reflect the actual spatial-temporal characteristics of the data being accessed.
3Device complexity
If address encoding provides coordinate bias in a fixed direction, then encoding is simplified, but performance deteriorates when access patterns favor different directions
Solution Approach 1:
The patent resolves this contradiction by making the coordinate bias dynamic rather than fixed. The system monitors access patterns and adjusts the encoding scheme to provide coordinate bias in the directions that are currently most frequently accessed. This dynamic adaptation allows the system to maintain simple encoding for the current pattern while being versatile across different patterns over time.
Solution Approach 2:
The system employs feedback by monitoring actual memory access patterns and using this information to adjust the address encoding parameters. The feedback loop allows the system to observe which coordinate directions are accessed most frequently and modify the encoding to align the coordinate bias with the observed patterns, thereby improving performance without requiring complex pre-configured encoding for all possible patterns.
Data Source
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AI summary
Described herein is a memory architecture that is configured to dynamically determine an address encoding to use to encode multi-dimensional data such as multi-coordinate data in a manner that provides a coordinate bias corresponding to a current memory access pattern. The address encoding may be dynamically generated in response to receiving a memory access request or may be selected from a set of preconfigured address encodings. The dynamically generated or selected address encoding may apply an interleaving technique to bit representations of coordinate values to obtain an encoded memory address. The interleaving technique may interleave a greater number of bits from the bit representation corresponding to the coordinate direction in which a coordinate bias is desired than from bit representations corresponding to other coordinate directions.