Memory Controller Cache Segmentation for Low-Latency Channel Groups
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing memory controller architectures face increased latency issues as workload increases due to congestion in access queues, particularly when operating at higher transfer rates, despite embedded caches providing reduced latency in unloaded states.
Innovation Solution
Implementing a memory controller with multiple independent caches per channel group, allowing parallel operation to manage non-overlapping physical address ranges and independent RAS schemes, including error detection and correction, to handle varying host interface speeds and transfer rates effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If an embedded cache is used in the memory controller, then latency is reduced in unloaded states, but latency increases as workload increases due to queue congestion
Solution Approach 1:
The cache is divided into multiple independent cache modules (first cache module, second cache module, etc.), each handling separate channel groups. This segmentation allows parallel processing of memory access requests across different cache modules, preventing queue congestion even under high workload conditions while maintaining low latency in unloaded states.
2Device complexity
If a single cache is used to service all memory channels, then device complexity is low, but latency increases under high workload due to queue congestion
Solution Approach 1:
The cache is segmented into multiple independent cache modules, each servicing specific channel groups. This segmentation distributes the access queue load across multiple modules, reducing queue congestion and access latency under high workload while maintaining a relatively simple overall structure through modular design.
Solution Approach 2:
The cache architecture transitions from a single-dimensional queue structure to a multi-dimensional parallel structure with multiple cache modules operating simultaneously. Each cache module handles its own channel groups independently, adding a dimension of parallelism that reduces latency without proportionally increasing complexity.
3Loss of time
If multiple independent caches per channel group are implemented, then latency is reduced and efficiency enhanced, but device complexity increases
Solution Approach 1:
The cache is divided into multiple independent cache modules, each handling separate channel groups with non-overlapping physical address ranges. This segmentation enables parallel processing that reduces latency while keeping each individual cache module relatively simple, balancing complexity and performance.
Solution Approach 2:
Each cache module is designed with universal functionality to service its assigned channel groups independently. The modular design allows each cache module to perform the same basic cache operations (read, write, error detection, error correction) on different data, achieving multi-functionality without increasing the complexity of individual modules.
4Reliability
If error detection and correction operations are performed separately from memory access, then reliability is improved, but productivity decreases due to sequential processing
Solution Approach 1:
Error detection and correction circuits are integrated into each cache module, allowing error handling operations to be performed in parallel with memory access operations across different cache modules. This segmentation enables concurrent processing that maintains high reliability while preserving processing throughput.
Data Source
AI summary
An apparatus can include a plurality of memory devices and a memory controller coupled to the plurality of memory devices via a plurality of memory channels. The plurality of memory channels are organized as a plurality of channel groups, and the memory controller comprises respective independent caches corresponding to the plurality of channel groups.