L2P Table Update Batching in Data Storage Devices
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Solution Overview
Problem
The inefficiency of write operations in Logical-to-Physical (L2P) address tables due to large codeword sizes, resulting in high write amplification and power consumption, especially in data centers with random and sequential write patterns.
Innovation Solution
A data storage device that combines multiple L2P updates into a single write operation by caching them in a buffer and using a hybrid memory architecture with byte-addressable and block-based storage, reducing write amplification and read amplification through efficient bin management and error correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a 128 byte codeword is written to update a 4 byte L2P table entry, then error correction capability is improved, but write amplification increases to 32 times or more
Solution Approach 1:
The patent collects multiple L2P update operations in a buffer before writing them to the L2P table. By accumulating updates and performing them in batches, the system performs preliminary action to reduce the frequency of write operations to the non-volatile memory, thereby reducing write amplification while maintaining error correction capability through the 128 byte codeword structure.
2Reliability
If a 128 byte codeword is written to update a 4 byte L2P table entry, then data integrity is improved, but power consumption increases
Solution Approach 1:
The buffer accumulates multiple L2P updates before triggering a write operation to the L2P table. This preliminary accumulation reduces the frequency of power-intensive write operations to non-volatile memory, thereby reducing overall power consumption while maintaining data integrity through the error correction capability of the 128 byte codeword structure.
3Manufacturing precision
If a read-modify-write operation is performed on the L2P table, then update accuracy is improved, but operation time increases
Solution Approach 1:
The system accumulates multiple L2P update operations in a buffer before performing a single write operation to the L2P table. This preliminary accumulation reduces the number of read-modify-write cycles required, thereby reducing total operation time while maintaining update accuracy through the structured batch processing approach.
Solution Approach 2:
The patent merges multiple individual L2P update operations into a single batched write operation. By combining multiple updates that would otherwise require separate read-modify-write cycles, the system reduces the total number of operations and their associated time overhead, while maintaining accuracy through the structured buffer management and batch processing.
Data Source
AI summary
Technologies for combining logical-to-physical address updates include a data storage device. The data storage device includes a non-volatile memory to store data and a logical to physical (L2P) table indicative of logical addresses and associated physical addresses of the data. Additionally, the data storage device includes a volatile memory to store one or more bins. Each bin is indicative of a subset of entries in the L2P table. Further, the data storage device includes a controller to allocate a bin in the volatile memory, write a plurality of updates to a subset of entries of the L2P table to the bin, and write the bin to the L2P table in a single write operation. Other embodiments are also described and claimed.