SSD Controller Dynamic Hottest Die Identification
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Solution Overview
Problem
Traditional SSDs face performance issues due to the complexity of monitoring temperature profiles across hundreds of non-volatile memory chips, as fixed subsets of die do not accurately reflect thermal profiles over the SSD's lifetime, leading to inefficient thermal management and reduced performance.
Innovation Solution
The SSD repeatedly re-identifies the hottest die based on current environmental conditions, focusing workload throttling decisions on this die, and periodically re-identifies temperature monitoring points triggered by environmental changes or a timer, to ensure accurate thermal management without overwhelming internal traffic.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If temperature readings are taken from all non-volatile memory chips, then thermal management accuracy is improved, but internal traffic increases and SSD performance deteriorates
Solution Approach 1:
The patent divides the monitoring task into segments by selecting a subset of representative die (e.g., one die per stack or strategically positioned die) to monitor instead of all die. This segmentation reduces the monitoring burden while maintaining adequate thermal management accuracy through periodic re-identification of the hottest die.
Solution Approach 2:
The patent applies partial monitoring by periodically re-identifying the hottest die rather than continuously monitoring all die. This partial action approach reduces internal traffic and performance impact while still achieving effective thermal management through timely updates of the monitoring subset.
2Productivity
If a fixed subset of die is monitored, then internal traffic is reduced, but thermal profile accuracy deteriorates over the SSD lifetime
Solution Approach 1:
The patent implements dynamic monitoring by periodically re-identifying the hottest die based on current environmental conditions and workload patterns. This dynamic approach allows the monitored subset to adapt to changing thermal profiles over the SSD lifetime, maintaining accuracy without requiring continuous monitoring of all die.
Solution Approach 2:
The patent employs periodic re-identification of the hottest die at scheduled intervals or triggered by environmental changes. This periodic action maintains thermal profile accuracy over time while limiting internal traffic to discrete update moments rather than continuous monitoring.
3Adaptability or versatility
If monitoring is triggered by environmental changes, then thermal management adaptability is improved, but monitoring frequency and complexity increase
Solution Approach 1:
The patent implements feedback-based triggering where environmental sensors detect changes in operating conditions (temperature, workload patterns) and trigger re-identification of the hottest die. This feedback mechanism improves adaptability to changing conditions while maintaining manageable complexity through event-driven rather than continuous monitoring.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances SSD performance by accurately tracking the hottest die, reducing unnecessary internal traffic, and maintaining efficient thermal management, even as environmental conditions change, thereby minimizing performance penalties.
Implementation Method 1
each non volatile memory chip includes its own thermal sensor. Temperature readings from each non volatile memory chip were periodically taken
Data Source
AI summary
An apparatus is described. The apparatus includes a solid state drive (SSD) controller that includes logic circuitry to perform an event based hottest non volatile memory die identification process in which one or more different hottest non volatile memory die within the SSD are able to be identified over an operational time period of the SSD in response to different respective events that arise during the operational time period.