Sequential-Write-Based Partitions in Logical-to-Physical Table Cache

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Memory subsystems face inefficiencies due to the need to manage large logical-to-physical tables, which require frequent swaps between volatile and non-volatile memory, leading to increased latency and overhead in address translations.

Innovation Solution

Implementing a logical-to-physical table cache with sequential-write-based partitions, where non-sequential and sequential write partitions optimize address mappings, reducing the need for frequent swaps and improving translation efficiency by representing multiple logical addresses with a single physical address mapping.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Speed

If a large logical-to-physical table is maintained in volatile memory, then address translation speed is improved, but memory resource consumption increases and cache miss probability increases

Engineering Contradiction:
Improveaddress translation speedVSAvoidmemory resource consumption
Core Design Contradiction:
SpeedVSQuantity of substance

Solution Approach 1:

The logical-to-physical table is segmented into multiple partitions based on sequential write patterns. Each partition stores mappings for a specific range of logical addresses, allowing the system to load only relevant partitions into volatile memory cache, reducing memory consumption while maintaining fast translation speed for active partitions.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system dynamically determines which partitions to load into volatile memory cache based on sequential write patterns and access frequencies. Partitions are loaded and evicted from cache dynamically, optimizing the balance between memory resource usage and address translation speed according to actual workload characteristics.

Inventive Principle:
Principle #15Dynamics

2Ease of operation

If frequent swaps between volatile and non-volatile memory are performed, then address translation can be performed, but latency increases and processing efficiency decreases

Engineering Contradiction:
Improveaddress translation capabilityVSAvoidtranslation latency
Core Design Contradiction:
Ease of operationVSLoss of time

Solution Approach 1:

The system performs preliminary actions by pre-loading logical-to-physical mappings into volatile memory cache before they are actually needed. When sequential write patterns are detected, corresponding partitions are proactively loaded into cache, so that subsequent address translations can be performed without incurring swap latency.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system maintains continuous address translation capability by keeping relevant partitions in volatile memory cache. By detecting sequential write patterns and maintaining appropriate cache partitions, the system ensures that address translations can continue without interruption or costly swaps to non-volatile memory.

Inventive Principle:
Principle #20Continuity of useful action

3Speed

If the entire logical-to-physical table is loaded into volatile memory, then all address translations can be performed quickly, but the system cannot handle larger address spaces with limited memory

Engineering Contradiction:
Improveaddress translation speedVSAvoidaddress space capacity
Core Design Contradiction:
SpeedVSAdaptability or versatility

Solution Approach 1:

The address space is segmented into multiple partitions, each manageable within volatile memory constraints. This allows the system to support large address spaces by dividing them into smaller chunks that can be selectively loaded into cache, maintaining both speed for active partitions and adaptability for larger address spaces.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The partitioned cache structure provides universal support for both small and large address spaces. The same partitioning mechanism works regardless of the total address space size, allowing the system to adaptively handle different workload sizes and memory constraints while maintaining fast translation performance.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS11119940B2Sequential-write-based partitions in a logical-to-physical table cache
Publication Date: 2021.09.14 MICRON TECHNOLOGY INC
  • US11119940B2 patent drawing
  • US11119940B2 patent drawing
  • US11119940B2 patent drawing

AI summary

A method for managing sequential-write-based partitions in a logical-to-physical table cache is described. The method includes locating, by a memory subsystem, a first entry in a first sequential write partition in the cache that maps a first logical address in the set of sequential logical addresses of a read request to a first physical address, wherein each entry in the first sequential write partition corresponds to two sequential logical addresses that were sequentially written to sequential physical addresses of memory components of the memory subsystem. The method further includes determining, based on the first entry, the first physical address associated with the first logical address and a second physical address associated with a second logical address in the set of sequential logical addresses and fulfilling, by the memory subsystem, the read request based at least on the first physical address and the second physical address.