Multi-dimensional Memory Data Transfer via Shape Metadata
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Solution Overview
Problem
Conventional data transfer systems face challenges in reliably and efficiently transmitting multi-dimensional data between devices with different shapes and sizes, often requiring linearization that can consume excessive memory resources and slow down the process.
Innovation Solution
Network controllers identify shape properties of multi-dimensional memory blocks on sender and receiver devices, generating network packets with control information to directly address memory locations on the receiver, allowing direct transmission without linearization, thus optimizing bandwidth and reducing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional linearization techniques are used to transfer multi-dimensional data, then data compatibility between devices of different shapes is improved, but memory resource consumption increases and transfer speed decreases
Solution Approach 1:
The patent segments multi-dimensional data into multi-dimensional blocks that maintain their original dimensional structure during transfer. Each block is divided into smaller sub-blocks that can be independently transmitted and reassembled, avoiding the need to linearize the entire data set. This segmentation allows devices of different shapes to exchange data while preserving the multi-dimensional structure, thus improving compatibility without requiring excessive memory resources for temporary storage.
Solution Approach 2:
The patent introduces dimensional metadata that describes the shape and structure of data blocks. This metadata enables the receiving device to understand how to interpret and map the transferred data into its own memory structure without linearization. By adding this dimensional information layer, the system achieves adaptability between devices of different shapes while maintaining efficient memory usage.
2Adaptability or versatility
If conventional linearization techniques are used to transfer multi-dimensional data, then data compatibility between devices of different shapes is improved, but transfer speed decreases
Solution Approach 1:
The patent segments multi-dimensional data into multi-dimensional blocks that maintain their original dimensional structure during transfer. Each block is divided into smaller sub-blocks that can be independently transmitted and reassembled, avoiding the need to linearize the entire data set. This segmentation allows devices of different shapes to exchange data while preserving the multi-dimensional structure, thus improving compatibility without requiring excessive memory resources for temporary storage.
Solution Approach 2:
The patent introduces dimensional metadata that describes the shape and structure of data blocks. This metadata enables the receiving device to understand how to interpret and map the transferred data into its own memory structure without linearization. By adding this dimensional information layer, the system achieves adaptability between devices of different shapes while maintaining efficient memory usage.
3Adaptability or versatility
If devices use different memory block shapes and sizes, then device specialization is improved, but data transfer reliability between devices deteriorates
Solution Approach 1:
The patent creates a universal data block structure that can be used across devices of different shapes and sizes. The multi-dimensional block format, combined with dimensional metadata, serves as a common interface that adapts to various device configurations. This universal structure ensures reliable data transfer between specialized devices without requiring them to conform to a single memory architecture.
Solution Approach 2:
The patent introduces dimensional metadata that describes the shape and structure of data blocks. This metadata enables the receiving device to understand how to interpret and map the transferred data into its own memory structure without linearization. By adding this dimensional information layer, the system achieves adaptability between devices of different shapes while maintaining efficient memory usage.
Data Source
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AI summary
The present disclosure relates to systems, methods, and computer-readable media for data from a first multi-dimensional memory block (106a) to a second multi-dimensional memory block (106b). For example, systems described herein facilitate transferring data between memory blocks (106a, 106b) having different shapes from one another. The systems described herein facilitate transferring data between different shaped memory blocks (106a, 106b) by identifying shape properties and other characteristics of the data and generating a plurality of network packets having control data based on the identified shape properties and other characteristics. This data included within the network packets enables memory controllers to determine memory addresses on a destination memory block to write data from the network packets. Features described herein facilitate efficient transfer of data without generating a linearized copy that relies on constant availability of significant memory resources.