MLML Interconnect Using Matrix Segmentation for Low Latency
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Solution Overview
Problem
Current interconnect network technologies face scalability limitations in terms of cost-effectiveness and latency, particularly in high-bandwidth and low-latency requirements for next-generation applications across various industries, such as supercomputers and IP routers, due to their reliance on special-purpose hardware and small crossbar fabrics.
Innovation Solution
The implementation of a Multiple-Level Minimum Logic (MLML) interconnect structure, which includes a logic capable of error detection and correction, formats data streams into fixed-size segments with headers and payloads, and arranges them into a multiple-dimensional matrix for efficient data transfer through switches, utilizing stair-step and Data Vortex configurations to minimize latency and maximize bandwidth.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If traditional crossbar fabric interconnect networks are used, then high bandwidth can be achieved, but latency remains high and scalability is limited
Solution Approach 1:
The patent segments data streams into fixed-size segments with headers and payloads, organizing them into multiple-dimensional matrices. This segmentation enables parallel processing of multiple segments simultaneously through the interconnect network, reducing overall latency while maintaining high bandwidth utilization.
Solution Approach 2:
The patent introduces multiple-dimensional matrix organization for data segments, adding dimensional structure to the data flow. This allows data to be routed and processed across multiple dimensions simultaneously, reducing latency by enabling parallel paths and eliminating sequential bottlenecks in traditional crossbar fabrics.
2Speed
If special-purpose hardware is used to achieve high performance, then bandwidth and latency requirements are met, but cost-effectiveness deteriorates
Solution Approach 1:
The patent implements a universal error correction code (U-ECC) that can correct any single-bit error and detect any two-bit error in data segments regardless of their content or position. This universal approach eliminates the need for specialized hardware for different types of errors, reducing cost while maintaining high reliability and performance.
Solution Approach 2:
The patent uses redundancy copying of data segments with embedded error correction codes. By creating copies with ECC information, the system achieves high reliability through software-based error correction rather than expensive specialized hardware, making the solution cost-effective while meeting performance requirements.
3Productivity
If system size is increased to meet growing computational demands, then processing capability improves, but latency and cost scalability deteriorate
Solution Approach 1:
The patent segments data into fixed-size units with standardized headers and payloads, enabling efficient routing and parallel processing in large-scale networks. This segmentation allows the system to scale to thousands of processors while maintaining low latency through parallel segment transmission and reduced contention.
Solution Approach 2:
The multiple-dimensional matrix organization of data segments enables scalable routing in large networks by providing additional dimensional paths for data flow. As system size increases, the extra dimensions provide alternative routes that prevent latency escalation, allowing the network to scale efficiently to meet growing computational demands.
4Reliability
If error detection and correction capabilities are added, then reliability improves, but device complexity increases
Solution Approach 1:
The universal error correction code provides a single, unified mechanism that handles all types of single-bit and two-bit errors regardless of their location or nature. This universal approach simplifies the system architecture compared to having separate correction mechanisms for different error types, reducing device complexity while improving reliability.
Solution Approach 2:
The patent embeds error correction codes in advance within each data segment header and payload before transmission. This preliminary encoding allows errors to be detected and corrected without requiring complex real-time processing during data reception, reducing system complexity while ensuring high data integrity.
Data Source
AI summary
An interconnect structure comprises a logic capable of error detection and/or error correction. A logic formats a data stream into a plurality of fixed-size segments. The individual segments include a header containing at least a set presence bit and a target address, a payload containing at least segment data and a copy of the target address, and a parity bit designating parity of the payload, the logic arranging the segment plurality into a multiple-dimensional matrix. A logic analyzes segment data in a plurality of dimensions following passage of the data through a plurality of switches including analysis to detect segment error, column error, and payload error.