LBAT Acceleration Component Bulk Memory Update
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Solution Overview
Problem
Existing memory sub-systems face inefficiencies in bulk updates, requiring multiple read and write operations to update user data across multiple locations, leading to longer wait times for larger updates.
Innovation Solution
The implementation of a Logic Block Address Translation (LBAT) acceleration component that utilizes a DRAM cache to perform bulk updates by reading and writing all entries of a codeword in a single operation, eliminating the need for multiple sequential updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple sequential read and write operations are used to update user data across multiple locations, then data accuracy is maintained, but update time and system wait time increase
Solution Approach 1:
The patent merges multiple sequential read and write operations into a single bulk update operation. The LBAT acceleration component collects multiple data entries with the same offset and performs them as one atomic operation, combining what would otherwise be separate sequential operations into a unified bulk update that maintains data accuracy while reducing time.
Solution Approach 2:
The system performs preliminary actions by identifying and collecting all data entries that require updates with the same offset before executing the bulk update operation. The LBAT acceleration component prepares the update list and validates offsets in advance, allowing the actual update to be executed as a single atomic operation rather than multiple sequential operations.
2Quantity of substance
If multiple sequential read and write operations are performed for bulk updates, then complete data coverage is achieved, but productivity decreases
Solution Approach 1:
The patent merges multiple individual update operations into a single bulk update operation that processes many data entries simultaneously. The LBAT acceleration component consolidates updates for all data entries with the same offset into one atomic operation, achieving complete data coverage while dramatically improving productivity through parallel processing.
Solution Approach 2:
The system changes the operational parameter from sequential single-entry updates to bulk parallel updates. By modifying the update mechanism to accept multiple data entries with the same offset as a single operation, the system maintains complete data coverage while increasing throughput by processing multiple entries simultaneously rather than one at a time.
3Device complexity
If traditional memory update operations are used, then system complexity remains low, but update speed decreases
Solution Approach 1:
The patent introduces an LBAT acceleration component as an intermediary between the host system and the memory device. This intermediary component handles the complexity of bulk update operations, including collecting data entries, validating offsets, and executing atomic bulk updates, thereby accelerating update speed while keeping the host system interface simple and the overall architecture manageable.
Solution Approach 2:
The system creates a copy of the traditional update mechanism in the form of the LBAT acceleration component, which implements the same basic update function but optimized for bulk operations. This copying approach allows the system to maintain the simple traditional interface while adding a parallel optimized path for bulk updates that achieves high speed without significantly increasing overall system complexity.
Data Source
AI summary
Apparatus and methods include receiving signaling indicative of performance of an operation to update a plurality of data entries written to a memory device and having a same offset from an initial physical address corresponding to each of the plurality of data entries and performing the operation to write the update to the plurality of data entries written to the memory device and having the same offset from the initial physical address corresponding to each of the plurality of data entries responsive to receiving the signaling indicative of performance of the operation to update the plurality of data entries.