Large Data Read Commands with Host L2P Cache
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Solution Overview
Problem
Conventional memory systems face inefficiencies in handling large data transfers due to atomic-unit limitations, leading to substantial latency and power usage during sequential reads, especially in mobile devices.
Innovation Solution
Implementing a host-resident logical-to-physical mapping (L2P) cache and enhanced read commands that allow for simultaneous retrieval of multiple atomic chunks of data, eliminating the need for repetitive single-unit read commands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If single atomic-unit read commands are used to handle large data transfers, then the storage system can maintain atomicity and reliability, but the latency and power consumption increase substantially
Solution Approach 1:
The patent segments large data transfer operations into multiple atomic-unit read commands that are buffered and executed in sequence. The host system divides a large read request into smaller chunks that fit within atomic transfer limits, allowing the storage system to process each segment reliably while maintaining overall data integrity through sequential execution.
Solution Approach 2:
The patent implements preliminary buffering of read commands at the host side before transmission to the storage device. By pre-processing and organizing read requests into optimized sequences, the system prepares data transfer operations in advance, reducing the overall latency experienced during actual data retrieval while ensuring atomicity constraints are met.
2Reliability
If single atomic-unit read commands are used for large data transfers, then data integrity is maintained, but power consumption increases
Solution Approach 1:
The patent merges multiple atomic-unit read commands into a single buffered operation at the host level. By combining several small read requests into one consolidated transfer operation, the system reduces the overhead associated with repeated command processing and physical layer transactions, thereby lowering power consumption while maintaining data integrity through the buffered execution model.
Solution Approach 2:
The patent enables continuous data transfer by buffering multiple atomic reads in sequence rather than executing them as discrete interrupt-driven operations. This continuous buffered approach reduces the frequency of power-intensive state transitions and command protocol handshakes, maintaining data integrity while reducing overall power consumption during large data transfers.
3Reliability
If multiple read commands are issued sequentially for large data transfers, then atomicity is maintained, but productivity decreases
Solution Approach 1:
The patent introduces a buffering dimension to the data transfer architecture, moving from a single-queue sequential processing model to a multi-layer buffered model. By implementing command buffers at the host level that can pre-process and stage multiple read commands, the system maintains atomicity guarantees while achieving higher throughput through parallel preparation of transfer operations.
Solution Approach 2:
The patent implements dynamic buffering strategies that adapt to transfer size and storage device capabilities. The host system dynamically adjusts buffer sizes and command batching parameters based on the specific read operation requirements, allowing optimal throughput while maintaining atomicity constraints. This dynamic approach enables larger buffers for non-critical data and smaller buffers for time-sensitive operations.
Data Source
AI summary
Devices and techniques are disclosed herein for more efficiently exchanging large amounts of data between a host and a storage system. In an example, a read command can optionally include a read-type indicator. The read-type indicator can allow for exchange of a large amount of data between the host and the storage system using a single read command.