Design Tradeoffs in CXL-Based Memory Pools for Public Cloud Platforms
IEEE MICRO(2023)
Microsoft Azure
Abstract
Dynamic random-access memory (DRAM) is a key driver of performance and cost in public cloud servers. At the same time, a significant amount of DRAM is underutilized due to fragmented use across servers. Emerging interconnects such as Compute Express Link (CXL) offers a path toward improving utilization through memory pooling. However, the design space of CXL-based memory systems is large, with key questions around the size, reach, and topology of the memory pool. At the same time, using pools require navigating complex design constraints around performance, virtualization, and management. This article discusses why cloud providers should deploy CXL memory pools, key design constraints, and observations in designing toward practical deployment. We identify configuration examples with significant positive return of investment.
MoreTranslated text
Key words
Servers,Memory management,Cloud computing,Bandwidth,Random access memory,Costs,Hardware
PDF
View via Publisher
AI Read Science
Must-Reading Tree
Example

Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
Summary is being generated by the instructions you defined