Memory Subsystem Priority Management for Faster OTA Updates
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Solution Overview
Problem
Existing memory subsystems in automotive systems require extended downtime for Over-The-Air (OTA) updates due to background processes like maintenance and data scans, delaying vehicle operations.
Innovation Solution
The memory subsystem operates in a specialized mode that deprioritizes internal operations and optimizes buffer clearing to reduce programming time for OTA updates, using sequential block programming and adjusting trim settings for faster write performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If background processes (maintenance, garbage collection, data scans) continue during OTA updates, then memory subsystem reliability is maintained, but update completion time increases
Solution Approach 1:
The memory subsystem dynamically adjusts the priority of background processes based on the operational phase. During OTA update reception, background processes are deprioritized or suspended. During inter-programming intervals, background processes are allowed to execute. This dynamic priority adjustment resolves the contradiction by making the system behavior adaptive rather than static.
Solution Approach 2:
The system implements periodic execution of background processes during inter-programming intervals between OTA update segments. This periodic action allows maintenance tasks to occur without continuously interfering with the update process, thereby reducing total update time while maintaining memory reliability through regular maintenance cycles.
2Productivity
If sequential block programming is used for OTA updates, then programming speed increases, but buffer management complexity increases
Solution Approach 1:
The OTA update data is divided into sequential blocks that can be programmed in order. This segmentation allows the memory subsystem to utilize high-speed sequential programming modes while managing buffer requirements in a structured way. Each block can be processed independently, simplifying the buffer management compared to handling large unsegmented data transfers.
Data Source
AI summary
Exemplary methods, apparatuses, and systems include an update performance manager for controlling performance of a wireless update by adjusting prioritization of internal operations for a memory subsystem. The update performance manager receives a first notification representing an initialization of a file transfer that includes an update file from a host using wireless communication. The update performance manager enters an update mode by reducing a priority of at least one internal operation of the memory subsystem in response to the first notification. The update performance manager receives the update file. The update performance manager programs the update file to memory. The update performance manager receives a second notification being a completion of the file transfer. The update performance manager resetting the priority of the at least one internal operation of the memory subsystem to a default value in response to the second notification.