Distributed Power Management for I/O Interconnect Switching Fabric
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Solution Overview
Problem
In non-hierarchical computer platform architectures, effective power management of I/O links is complicated by the lack of a primary I/O controller, making it challenging to optimize link power states and manage power efficiently across multiple data streams.
Innovation Solution
The implementation of a switching fabric with distributed power management units that reside in both switches and applications, allowing for automatic optimization of link power states by propagating decisions across the fabric and managing power states based on observed behavior and protocol-specific requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a non-hierarchical interconnect solution with switching fabric is used to enable multiple autonomous data streams, then adaptability and data stream flexibility are improved, but power management complexity increases due to lack of primary I/O controller
Solution Approach 1:
The power management functionality is segmented and distributed across multiple switches in the fabric. Each switch contains its own power management unit that can independently monitor and control power states of links passing through it, eliminating the need for a centralized power management controller.
Solution Approach 2:
Each switch's power management unit autonomously manages power states of links without requiring external control. The distributed power management units self-coordinate to optimize power states across the fabric based on local observations of data stream activity and link utilization.
2Use of energy by moving object
If link power states are dynamically optimized to reduce power consumption, then energy efficiency is improved, but system responsiveness may deteriorate due to state transition overhead
Solution Approach 1:
The system dynamically transitions links between different power states (L0, L0s, L1, L2) based on real-time observations of data stream activity. The distributed power management units continuously monitor link utilization and automatically adjust power states to match actual traffic patterns, optimizing the balance between power savings and responsiveness.
Solution Approach 2:
The power management units observe data stream activity and link utilization, using this feedback to make informed decisions about power state transitions. This feedback mechanism ensures that links remain in high-performance states when needed while transitioning to low-power states when idle, maintaining system responsiveness while reducing overall power consumption.
Data Source
AI summary
Described are embodiments of methods, apparatuses, and systems for link power management in an I/O interconnect. An apparatus for link power management in an I/O interconnect of a computer apparatus may include a switching fabric having a first switch and a second switch, configured to simultaneously transport first data packets over a first path of a link between a port of the first switch and a port of the second switch and second data packets over a second path of the link. The apparatus may include a power management unit configured to modify a power state of the port of the first switch based at least in part on relative power states of the first path and the second path. Other embodiments may be described and claimed.