Hybrid Memory Module Controller Predictive Data Placement
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Solution Overview
Problem
Existing memory systems face inefficiencies due to the trade-offs between data storage density and data transfer speed, as they typically rely on either volatile or non-volatile memory types, which limit operational efficiency and increase implementation costs.
Innovation Solution
Implementing a multiple memory type memory module that combines volatile memory, such as DRAM, with non-volatile memory, like 3D XPoint, and utilizing a memory controller to predictively store data based on access patterns, transferring data between memory types to optimize storage and retrieval speeds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If volatile memory (DRAM) is used, then data transfer speed is improved, but data storage density is reduced
Solution Approach 1:
The memory system is segmented into multiple memory types (volatile and non-volatile) organized in a hierarchical structure. Different segments handle different data access patterns, with volatile memory providing fast access for frequently accessed data and non-volatile memory providing high density for less frequently accessed data.
Solution Approach 2:
The patent introduces a new dimension to the memory hierarchy by combining volatile and non-volatile memory types in a unified memory module. This creates a multi-dimensional memory architecture that simultaneously optimizes for both speed and storage density through predictive data placement strategies.
2Quantity of substance
If non-volatile memory is used, then data storage density is improved, but data transfer speed is reduced
Solution Approach 1:
The memory controller performs preliminary actions by predictively transferring data from non-volatile memory to volatile memory before it is actually needed. This anticipatory data placement ensures that frequently accessed data is already in the fast memory when needed, eliminating the speed penalty of non-volatile memory for hot data.
Solution Approach 2:
The system dynamically adjusts data placement between memory types based on access patterns. The memory controller continuously monitors and repositions data between volatile and non-volatile memory, creating a dynamic system that adapts to changing workload requirements and optimizes the trade-off between speed and density.
3Productivity
If multiple memory types are combined, then memory capacity and access speed are improved, but device complexity is increased
Solution Approach 1:
The memory controller implements self-service mechanisms by autonomously managing data placement between different memory types based on observed access patterns. The system self-optimizes without requiring external intervention or complex management software, reducing the operational complexity despite the multi-type memory architecture.
Solution Approach 2:
The system employs feedback mechanisms where the memory controller monitors data access patterns and uses this information to make real-time decisions about data placement. This feedback loop enables the system to automatically optimize performance while managing the complexity of coordinating multiple memory types.
Data Source
AI summary
The present disclosure provides methods, apparatuses, and systems for implementing and operating a memory module, for example, in a computing device that includes a network interface, which is coupled to a network to enable communication with a client device, and processing circuitry, which is coupled to the network interface via a data bus and programmed to perform operations based on user inputs received from the client device. The memory module includes memory devices, which may be non-volatile memory or volatile memory, and a memory controller coupled between the data bus and the of memory devices. The memory controller may be programmed to determine when the processing circuitry is expected to request a data block and control data storage in the memory devices.