Memory Trim Setting Control for Adaptive Performance Tuning
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Solution Overview
Problem
Existing memory systems face challenges in optimizing operational characteristics such as latency, hit rate, and performance due to inefficiencies in determining trim settings for memory devices.
Innovation Solution
A field-programmable gate array (FPGA) and/or controller determine trim settings for memory devices based on monitored and desired operational characteristics, using a reconfigurable fabric to adjust settings dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If trim settings are determined using conventional methods, then manufacturing process is simple, but operational characteristics such as latency, hit rate, and performance are not optimized
Solution Approach 1:
The patent implements dynamic trim setting adjustment by monitoring operational characteristics in real-time and automatically adjusting trim settings based on monitored performance. The system transitions from static, pre-determined trim settings to dynamic, adaptive trim settings that respond to changing operational conditions, thereby optimizing latency, hit rate, and overall performance without requiring complex manual intervention
Solution Approach 2:
The system incorporates feedback mechanisms by monitoring operational characteristics such as read/write latency, hit rate, and performance metrics, then using this feedback to automatically adjust trim settings. This closed-loop control enables continuous optimization of memory device performance while maintaining manageable complexity through automated decision-making algorithms
2Reliability
If trim settings are adjusted to improve performance, then operational characteristics improve, but device complexity increases
Solution Approach 1:
The memory device performs self-optimization by automatically monitoring its own operational characteristics and adjusting its trim settings without external intervention. The system uses built-in monitoring circuits and control logic to autonomously optimize performance, reliability, and efficiency, eliminating the need for complex external testing and configuration equipment
Solution Approach 2:
The system optimizes operational characteristics by dynamically changing trim setting parameters such as voltage levels, timing parameters, and operational modes based on monitored performance metrics. This parameter adjustment approach enables fine-tuned optimization of read/write speed, latency, and reliability while maintaining a relatively simple device architecture through software-controlled parameter modification
Data Source
AI summary
The present disclosure includes apparatuses and methods related to determining trim settings on a memory device. An example apparatus can determine a set of trim settings for the array of memory cells based on the operational characteristics of the array of memory cells, wherein the set of trim settings are associated with desired operational characteristics for the array of memory cells.