Dynamic Power Control Module for Memory Domain Energy Optimization
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Solution Overview
Problem
Current power management in integrated circuits is inefficient, particularly in memory domains, as static power capping techniques fail to dynamically adjust to platform conditions, leading to suboptimal power savings and performance, especially under bursty workloads.
Innovation Solution
Implementing a dynamic power control module that estimates and measures energy consumption within power domains, allocates budgets based on actual usage, and uses a running average power limit to intelligently distribute power across devices, allowing for adaptive power limiting and performance optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If static power capping limits are set on components according to an overall budget, then power consumption is controlled within the budget, but power savings are limited due to guard bands and static assumptions that are not dynamically tailored to platform or component conditions
Solution Approach 1:
The patent implements dynamic power capping by continuously monitoring actual power consumption of components and adjusting power limits in real-time based on measured conditions. This replaces static power budgets with adaptive limits that respond to changing platform states, workload characteristics, and component behavior, eliminating the need for conservative guard bands while maintaining power control.
Solution Approach 2:
The system incorporates feedback mechanisms that monitor actual power consumption and component behavior, then use this information to adjust power limits dynamically. The feedback loop enables the system to learn from actual usage patterns and optimize power allocation continuously, rather than relying on predetermined static assumptions.
2Loss of energy
If power capping is applied to components within the power budget, then power consumption is limited, but performance is degraded under burst-like workloads such as memory operations
Solution Approach 1:
The patent applies dynamic power limits that can rapidly adjust to bursty workload patterns. Instead of imposing fixed power caps that choke performance during memory bursts, the system monitors actual consumption and allows temporary exceedances when justified by measured conditions, then recovers during low-activity periods.
Solution Approach 2:
The system changes power limit parameters dynamically based on observed workload characteristics and platform conditions. Power limits are not fixed but are adjusted as parameters that respond to changing operational requirements, enabling the system to accommodate bursty workloads while maintaining overall power control.
3Ease of operation
If memory subsystem is excluded from platform power budget, then server-level power capping can be implemented, but one-third of total power consumption remains unmanaged outside the budget
Solution Approach 1:
The patent segments the power management system into hierarchical levels, with platform-level power budgeting and component-level dynamic control. Memory and other previously unmanaged subsystems are divided into independently controllable units that can be monitored and regulated separately, enabling comprehensive power management across the entire system.
Solution Approach 2:
The power management system is designed to be universally applicable across different component types and subsystems. The same dynamic power capping mechanisms that control processor power are also applied to memory, storage, and I/O devices, creating a unified power management framework that manages all power consumption regardless of subsystem.
Data Source
AI summary
An apparatus, method and system is described herein for dynamic power control of a power domain. A power limit over a time window is provided. And over a control loop period a power interface determines energy consumption of the power domain, intelligently budgets power among devices within the power domain based on the energy consumption, converts those budgets to performance maximums for the power domain, and limits performance of devices in the power domain to the performance maximums utilizing a running average power limit.