Adaptive Memory Controller for Dynamic Power and Latency Trade-offs

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Solution Overview

Problem

Traditional memory controllers use fixed algorithms and static settings, which fail to adapt to shifting computational conditions, leading to inefficiencies in performance and energy usage.

Innovation Solution

An adaptable memory controller that monitors memory access events, determines adjustments to operational parameters based on real-time metrics, and dynamically modifies operations to improve efficiency, performance, and power usage.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If fixed algorithms and static settings are used in memory controllers, then device complexity is reduced and ease of manufacture is improved, but adaptability to shifting computational conditions deteriorates and system performance efficiency worsens

Engineering Contradiction:

Improveadaptability to computational conditionsVSAvoidcontroller algorithm complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The memory controller transitions from static fixed algorithms to dynamic adaptive algorithms that automatically adjust operational parameters based on real-time monitoring of memory access patterns, workload characteristics, and system conditions. This enables the controller to adapt to shifting computational conditions while maintaining manageable complexity through structured adaptation mechanisms.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The controller implements feedback loops where performance metrics and memory access events are continuously monitored, analyzed, and used to adjust operational parameters. This closed-loop system enables automatic adaptation to changing conditions without requiring complex manual configuration or reprogramming.

Inventive Principle:

Principle #23Feedback

2Productivity

If static operational parameters are used in memory controllers, then ease of operation is improved and device complexity is reduced, but productivity and system performance deteriorate under varying workloads

Engineering Contradiction:

Improvesystem performance efficiencyVSAvoidparameter adjustment mechanism

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The memory controller performs self-optimization by automatically monitoring its own performance metrics and adjusting its operational parameters without external intervention. This self-service capability enables the controller to maintain high productivity across varying workloads while avoiding the complexity of external configuration systems.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The controller dynamically changes operational parameters such as command scheduling priorities, timing configurations, and power management settings based on real-time analysis of memory access patterns and workload characteristics. This parameter adaptation enables sustained high performance without requiring complex structural changes.

Inventive Principle:

Principle #35Parameter changes

3Use of energy by moving object

If power-efficient configurations are used in memory controllers, then energy consumption is reduced, but system performance and command execution speed deteriorate

Engineering Contradiction:

Improvememory subsystem power usageVSAvoidcommand execution speed

Core Design Contradiction:

Use of energy by moving objectVSSpeed

Solution Approach 1:

The controller implements periodic monitoring and adjustment cycles where it evaluates performance metrics and power consumption patterns, then makes targeted parameter adjustments. This periodic action enables the system to achieve power efficiency without permanently sacrificing performance, as the controller can quickly adapt when performance demands increase.

Inventive Principle:

Principle #19Periodic action

Solution Approach 2:

The controller dynamically adjusts power management parameters and operational settings based on real-time workload analysis. During high-performance需求的 periods, the controller prioritizes speed by adjusting timing parameters and command scheduling. During low-activity periods, it optimizes for power efficiency by entering low-power states and adjusting operational frequencies.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS12299283B2Self-characterizing, evaluating, and adaptive high performance memory controller

Publication Date: 2025.05.13 QUALCOMM INC

AI summary

Various embodiments include systems and methods for improving the efficiency of a memory subsystem in a computing device. The memory subsystem may be configured to detect memory access events and determining their associated timings and determine an efficiency of the memory subsystem based on operational parameters of the memory subsystem, the detecting memory access events, and associated timings. The memory subsystem may adjust the operational parameters of the memory subsystem based on the determined efficiency of the memory subsystem. The memory subsystem may dynamically modify the operations of the memory subsystem based on the adjusted operational parameters.