Memory Read Credit Control for Speculative Latency Reduction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Read latency in memory systems degrades system performance, and existing methods to reduce this latency are inefficient.
Innovation Solution
A memory system utilizing a buffer and speculative read technique to predict future data needs, adjusting credit quantities based on speculative read hits and misses to optimize memory access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If speculative read requests are transmitted to reduce read latency, then read latency is reduced, but unnecessary memory operations increase
Solution Approach 1:
The controller implements a feedback mechanism by tracking speculative read hits and misses, adjusting the total quantity of credits based on hit ratios. When hit ratio exceeds a threshold, total credits are increased; when below threshold, total credits are decreased. This feedback loop optimizes speculative read behavior to balance latency reduction with energy efficiency.
Solution Approach 2:
The system dynamically adjusts the quantity of credits available for speculative reads based on real-time performance metrics. The controller modifies the total quantity of credits during operation based on hit/miss patterns, making the speculative read capacity adaptive rather than fixed, thereby optimizing the trade-off between reduced latency and minimized unnecessary operations.
2Loss of time
If quantity of credits is increased to handle more speculative reads, then read latency is reduced, but device complexity increases
Solution Approach 1:
The controller autonomously manages credit allocation and adjustment without external intervention. It automatically tracks speculative read outcomes, calculates hit ratios, and adjusts total credits based on predetermined thresholds, making the system self-regulating and reducing the need for complex external credit management mechanisms.
3Loss of energy
If speculative read requests are discarded to reduce unnecessary operations, then energy consumption is reduced, but read latency increases
Solution Approach 1:
The system changes operational parameters (quantity of credits) based on performance conditions. By adjusting the total quantity of credits according to hit ratios and threshold comparisons, the system adapts the level of speculative read activity to balance energy consumption and latency requirements dynamically.
Data Source
AI summary
A memory system includes a memory sub-system, and a controller configured to transmit, to the memory sub-system, a read command corresponding to a speculative read request according to a quantity of remaining credits, receive, from the memory sub-system, read data corresponding to the speculative read request, and adjust a total quantity of credits and the quantity of remaining credits according to whether the read data is a speculative read hit.


