Nonvolatile Memory Metadata Batch Update
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Solution Overview
Problem
Nonvolatile memory systems face performance degradation due to the large number of metadata updates required during file data transfers, particularly in mobile devices, which slows down memory system and firmware operations.
Innovation Solution
A data processing method that utilizes a memory link architecture with a multiple access memory, an ASIC, and a nonvolatile memory to perform a single multi-segment transfer operation, where payload data segments are written to a data block and corresponding metadata is written to a metadata block in a single operation, reducing the number and frequency of metadata updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple separate metadata update operations are performed for each data segment during file data transfer, then data integrity and proper tracking of each segment is ensured, but firmware operation efficiency deteriorates and system performance slows down
Solution Approach 1:
The patent combines multiple separate metadata update operations into a single batched metadata update operation. Instead of updating metadata for each data segment individually, the system accumulates metadata updates and processes them together in one operation, thereby improving firmware efficiency while maintaining data integrity through the batched approach.
Solution Approach 2:
The system performs preliminary actions by preparing and accumulating metadata updates in advance before executing them. The metadata for multiple data segments is collected and organized beforehand, then applied in a single batched operation, which reduces the overhead of multiple separate update operations while ensuring all necessary metadata is properly recorded.
2Measurement precision
If frequent metadata updates are performed during file data transfer, then accurate tracking of data segments is maintained, but memory system performance deteriorates
Solution Approach 1:
The patent merges multiple metadata update operations into a single batched operation, reducing the frequency of updates while maintaining accurate tracking of all data segments. The batched approach consolidates multiple tracking updates into one operation, preserving measurement precision without the performance penalty of frequent separate updates.
Solution Approach 2:
Instead of continuous or frequent metadata updates for each data segment, the system implements periodic batched updates. Metadata is accumulated over multiple data segment transfers and then updated in periodic batches, which maintains accurate tracking while significantly reducing the overall update frequency and improving memory system performance.
3Quantity of substance
If individual metadata update operations are executed for each of N data segments, then complete metadata coverage is achieved, but the number of operations and time consumption increase
Solution Approach 1:
The patent combines N individual metadata update operations into a single batched metadata update operation. This merging approach maintains complete metadata coverage for all N data segments while reducing the total number of operations from N separate updates to one batched update, thereby significantly reducing time consumption and operational overhead.
Solution Approach 2:
The system performs preliminary accumulation of metadata for all N data segments before executing the update operation. By preparing the complete metadata set in advance and then applying it in a single batched operation, the system achieves complete metadata coverage without the time penalty of N separate update operations.
Data Source
AI summary
A data processing method for a nonvolatile memory system is described. In the method, a host CPU calls N data file segments, generates logical addresses, and then transfers the N data file segments and logical addresses to an ASIC. The ASIC then maps the logical addresses onto physical addresses of a nonvolatile memory, derives N payload data segments, and collectively generates corresponding metadata for all of the N payload data segments. Then, a single multi-segment transfer operation is performed to sequentially write the N payload data segments to a data block in the nonvolatile memory, and thereafter, write the corresponding metadata to a metadata block associated with the data block.