Hybrid Memory Data Relocation for Speed-Power Balance
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Solution Overview
Problem
Existing memory systems face inefficiencies in performance, reliability, and power consumption due to the combination of different types of memory with varying access times, particularly when managing data relocation between volatile and non-volatile memory.
Innovation Solution
A hybrid memory system that includes a controller to identify frequently accessed data in one type of memory and relocate it to another type with faster access time, ensuring continuous availability of free space in the faster memory, thereby maintaining high performance and reducing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by stationary object
If data is stored in non-volatile memory to reduce power consumption, then power consumption is reduced, but access time increases
Solution Approach 1:
The memory system is segmented into two distinct types: volatile memory for frequently accessed data requiring fast access, and non-volatile memory for less frequently accessed data where power savings are prioritized. This segmentation allows the system to optimize for both speed and power consumption simultaneously by placing data in the appropriate memory type based on access patterns.
Solution Approach 2:
The system dynamically relocates data between volatile and non-volatile memory based on observed access frequencies. The controller monitors access patterns and automatically migrates frequently accessed data to volatile memory while moving infrequently accessed data to non-volatile memory, creating a dynamic adaptation that resolves the speed-power contradiction.
2Speed
If frequently accessed data is relocated to volatile memory to improve access speed, then access time is reduced, but power consumption increases
Solution Approach 1:
The controller implements a feedback mechanism that continuously monitors data access frequencies and uses this information to make intelligent decisions about data placement. By observing access patterns over time, the system learns which data requires fast access and automatically adjusts its placement strategy, ensuring that power consumption increases only when necessary for maintaining high-speed access to frequently used data.
Solution Approach 2:
The system changes the operational parameters of the memory system by dynamically adjusting which data resides in volatile versus non-volatile memory based on access frequency thresholds. This parameter change allows the system to adapt its power consumption and access speed characteristics to match actual workload requirements.
3Speed
If data is cached in volatile memory to improve performance, then access speed is improved, but available space for new data is reduced
Solution Approach 1:
The system performs preliminary actions by proactively identifying and relocating frequently accessed data to volatile memory before it is actually needed, based on predicted access patterns. This preliminary caching ensures that when data is accessed, it is already in the fast memory, improving performance without causing unexpected space constraints.
Solution Approach 2:
The system implements a cache replacement strategy where less frequently accessed data in volatile memory is identified and relocated back to non-volatile memory, freeing up space in volatile memory for new frequently accessed data. This discarding and recovering process maintains the balance between cache size and available space for new data.
Data Source
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AI summary
The present disclosure includes apparatuses, methods, and systems for data relocation in hybrid memory. A number of embodiments include a memory, wherein the memory includes a first type of memory and a second type of memory, and a controller configured to identify a subset of data stored in the first type of memory to relocate to the second type of memory based, at least in part, on a frequency at which an address corresponding to the subset of data stored in the first type of memory has been accessed during program operations performed on the memory.