Machine learning based tiered memory systems and methods
US11307986B1 · kind B1 · utility
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Key dates
| Filing date | Jun 10, 2021 |
| Grant date | Apr 19, 2022 |
| Priority date | — |
| Expiry date | Jun 10, 2041 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02D10/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for dynamically placing data in a hybrid memory structure are provided. A machine learning (ML)-based, adaptive tiered memory system can actively monitor application memory to dynamically place the right data in the right memory tier at the right time. The memory system can use reinforcement learning to perform dynamic tier placement of memory pages.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.