Memory Controller Mapping Tables for Iteration Command Efficiency
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Solution Overview
Problem
Existing storage devices face inefficiencies in processing iteration commands for keys with the same prefix, as they often retrieve the entire range of hash entries from the second mapping table, leading to increased operation time and resource usage.
Innovation Solution
A memory controller with first and second mapping tables and a hashing module that retrieves region information and hash entries based on the key, allowing for efficient processing of iteration commands by only accessing the relevant segments and reducing the scanned region in the second mapping table, thereby minimizing operation time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the entire range of hash entries is retrieved from the second mapping table for iteration commands, then all keys can be accessed, but the operation time and resource usage increase
Solution Approach 1:
The second mapping table is divided into multiple segments, each corresponding to a specific region identified in the first mapping table. This segmentation allows the system to access only the relevant segment for a given iteration command rather than retrieving the entire mapping table, thus reducing operation time while maintaining complete key access within the specified region.
Solution Approach 2:
The patent extracts and stores region information (such as start and end addresses or identifiers) in the first mapping table before execution. During iteration commands, this pre-stored region information is used to extract and access only the necessary segment from the second mapping table, eliminating the need to retrieve unrelated hash entries and reducing operational overhead.
2Reliability
If the entire range of hash entries is retrieved from the second mapping table for iteration commands, then all keys can be accessed, but resource usage increases
Solution Approach 1:
By segmenting the second mapping table into multiple parts corresponding to different regions, the system reduces the quantity of hash entries that need to be loaded into memory during iteration commands. Only the segment corresponding to the specified region is accessed, thereby reducing memory bandwidth consumption and cache utilization while ensuring complete access to all keys within that region.
Solution Approach 2:
The first mapping table performs a preliminary action by storing region information (start address, end address, or region identifiers) before the iteration command is executed. This pre-computed region information enables the system to directly calculate and access the specific segment range needed, avoiding the retrieval of unnecessary hash entries and reducing overall resource consumption.
3Productivity
If region information is stored in the first mapping table for each prefix, then iteration commands can be optimized, but the first mapping table size increases
Solution Approach 1:
The first mapping table stores region information locally and specifically for each prefix or key range, rather than maintaining a global index for all keys. This local quality approach allows the system to quickly determine the relevant segment for a given iteration command by looking up only the specific prefix's region information, improving iteration processing efficiency while keeping the table size proportional to the number of prefixes rather than total keys.
Data Source
AI summary
A memory controller including: a memory configured to store first and second mapping tables; and a hashing module configured to receive a command including a first key from a host and retrieve a first physical address corresponding to the first key by using the first and second mapping tables, wherein the first mapping table is configured to store first region information about a first region corresponding to a partial region of the first key, the first region including at least one segment, and the second mapping table is configured to store a plurality of segments, wherein each segment includes a plurality of hash entries, the plurality of segments are grouped into a plurality of regions, and each of the plurality of hash entries stores a tag corresponding to a key and a physical address corresponding to the key,