Memory Interface Speed Control Under Dynamic Power Budgets
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional power management systems for memory devices, such as NAND flash, face limitations in flexibility and adaptability due to static power management strategies that do not account for dynamic variations in power usage during different operations, leading to inefficiencies and potential power budget violations.
Innovation Solution
A power management component dynamically adjusts data transfer speeds based on real-time power consumption and a power budget, using a token ring system to allocate and reallocate power tokens among memory device dies, allowing for dynamic adjustments to maintain power consumption within limits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If static power management strategies are used, then power consumption is controlled within budget, but system performance and productivity deteriorate due to unnecessary slowdowns
Solution Approach 1:
The patent implements dynamic power management by continuously monitoring real-time power consumption and adjusting data transfer speeds accordingly. The system transitions from static predetermined speed limits to dynamic adjustment based on actual power usage, allowing the memory device to operate at optimal speeds while remaining within power budget constraints. This resolves the contradiction by making power management adaptive rather than rigid.
Solution Approach 2:
The system changes the operational parameters (data transfer speeds) based on real-time power consumption measurements. By dynamically modifying transfer speeds rather than using fixed static limits, the system can maximize performance when power is available while ensuring compliance when power consumption approaches budget limits, thus resolving the performance-versus-compliance contradiction.
2Productivity
If data transfer speed is increased to improve performance, then productivity improves, but power consumption increases and may exceed power budget
Solution Approach 1:
The patent employs feedback mechanisms by continuously monitoring power consumption and using this information to adjust data transfer speeds. The system measures actual power usage and feeds this information back to the control logic, which then modifies transfer speeds to maintain performance while staying within power budget constraints. This closed-loop control resolves the contradiction between speed and power consumption.
Solution Approach 2:
The system dynamically adjusts data transfer speeds based on real-time power consumption conditions rather than using fixed speed limits. This allows the system to operate at high speeds when power is available and automatically reduce speeds when power consumption approaches budget limits, optimizing the balance between productivity and energy usage.
3Productivity
If dynamic adjustments are implemented, then productivity and performance improve, but device complexity increases due to monitoring and control mechanisms
Solution Approach 1:
The patent implements self-service power management where the memory device autonomously monitors its own power consumption and adjusts its own data transfer speeds without requiring external host system intervention. The device uses built-in power management logic and token ring mechanisms to self-regulate performance based on power conditions, reducing the need for complex external control systems while maintaining high operational efficiency.
4Adaptability or versatility
If power tokens are reallocated dynamically, then adaptability improves, but device complexity increases due to token ring management
Solution Approach 1:
The patent segments the power budget into discrete power tokens that can be individually allocated and managed. Each token represents a unit of power consumption allowance, and the token ring system manages these segmented units through standardized transfer protocols. This segmentation approach provides flexible dynamic allocation while maintaining manageable complexity through modular token-based control rather than continuous analog power management.
Data Source
AI summary
A processing device monitors power consumption of a memory device that is communicatively coupled with the processing device via a data transfer interface. The data transfer interface comprises a plurality of channels. The processing device dynamically adjusts a data transfer speed of at least one channel of the plurality of channels of the interface based on the monitored power consumption of the memory device and a power budget. The power budget comprises an amount of power consumption allowed for the memory device.