Memory Power Management for Voltage Droop and Resonance

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Solution Overview

Problem

Memory devices experience sub-optimal performance and reliability issues due to voltage droop, oscillating patterns, and resonance frequencies in power delivery networks, which are not adequately addressed by existing technologies.

Innovation Solution

Implementing predictive power management by monitoring voltage responses and impedance profiles to adjust command timing, thereby mitigating undesirable oscillations and resonance frequencies in memory devices.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If the power delivery network operates at high power to meet memory device demands, then productivity is improved, but voltage droop and resonance frequencies occur causing reliability issues

Engineering Contradiction:
Improvememory device performanceVSAvoidoperational reliability
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The system performs preliminary monitoring of voltage responses and impedance profiles to predict upcoming resonance frequencies and voltage droop conditions before they occur. By identifying patterns in advance, the system can proactively adjust command timing to prevent harmful voltage oscillations, thereby maintaining both high productivity and reliability simultaneously

Inventive Principle:
Principle #10Preliminary action

2Reliability

If command timing is adjusted to prevent voltage droop and resonance, then reliability is improved, but device complexity increases due to predictive power management requirements

Engineering Contradiction:
Improveoperational reliabilityVSAvoidpower management complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system implements feedback by continuously monitoring voltage responses and impedance profiles from power delivery operations. This feedback loop enables the system to learn from past operations, identify patterns indicating upcoming resonance conditions, and automatically adjust command timing accordingly. The feedback mechanism achieves improved reliability through automated, data-driven timing adjustments without requiring complex manual intervention or overly sophisticated control architecture

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS20260037051A1Predictive power management
Publication Date: 2026.02.05 LODESTAR LICENSING GROUP LLC
  • US20260037051A1 patent drawing
  • US20260037051A1 patent drawing
  • US20260037051A1 patent drawing

AI summary

Methods, systems, and devices for predictive power management are described. Correlations may be identified between a set of commands performed at the memory device and oscillating voltage patterns, or a resonance frequency, or both. Voltages may be monitored by the memory device and be compared to the identified voltage pattern to mitigate undesirable oscillating voltages and resonance frequency.