NoC Channel Pipelining for Timing and Bandwidth Optimization
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Solution Overview
Problem
Current Network on Chip (NoC) interconnects face challenges in optimizing pipeline stage placement and utilization, leading to suboptimal performance due to increasing complexity and scalability limitations, particularly in heterogeneous systems where traffic profiles are non-uniform and channel widths are restricted by physical design constraints.
Innovation Solution
An automated method for configuring pipeline stages on NoC channels based on parameters like distance between routers, channel length, clock frequency, and wire delay, using a system comprising a router and channel detail extraction module, pipeline parameter selection module, and pipeline stage implementation module to determine and implement the required number of pipeline stages for each output channel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If pipeline stages are manually configured in NoC, then design flexibility is maintained, but design complexity and time increase due to manual intervention requirements
Solution Approach 1:
The system automatically determines and configures pipeline stages based on extracted router and channel details, eliminating manual configuration efforts. The automated pipeline stage placement module independently analyzes network parameters and generates optimal pipeline configurations without designer intervention.
Solution Approach 2:
Manual design processes are replaced with automated computational algorithms that extract router/channel details, determine pipeline requirements, and generate configurations automatically. The system uses computational analysis instead of manual engineering calculations.
2Adaptability or versatility
If uniform pipeline stages are used across all channels, then design simplicity is maintained, but performance optimization is insufficient for heterogeneous traffic profiles
Solution Approach 1:
The system configures different numbers of pipeline stages for different channels based on their specific characteristics (distance, channel length, wire delay). Each channel receives customized pipeline configuration tailored to its local requirements rather than uniform treatment across the entire network.
Solution Approach 2:
The pipeline configuration is dynamically adjusted based on extracted network parameters. The system analyzes actual router and channel details to determine optimal pipeline stage counts for each channel, creating adaptive configurations that respond to varying network conditions.
3Reliability
If more pipeline stages are added to meet timing requirements, then timing performance improves, but bandwidth efficiency decreases due to increased latency
Solution Approach 1:
The system changes the number of pipeline stages as a variable parameter for each channel based on timing analysis. By calculating optimal pipeline stage counts from router and channel parameters, the system adjusts this critical parameter to meet timing requirements while minimizing performance penalties.
Solution Approach 2:
The system adds pipeline stages only where and to the extent necessary to meet timing requirements. Rather than uniformly adding maximum pipeline stages throughout the network, the automated analysis determines the minimum sufficient configuration for each channel, avoiding excessive latency introduction.
Data Source
AI summary
Systems and methods for automatically generating a Network on Chip (NoC) interconnect architecture with pipeline stages are described. The present disclosure includes example implementations directed to automatically determining the number and placement of pipeline stages for each channel in the NoC. Example implementations may also adjust the buffer at one or more routers based on the pipeline stages and configure throughput for virtual channels.