Pond: CXL-Based Memory Pooling Systems for Cloud Platforms

Author:

Li Huaicheng1,Berger Daniel S.2,Hsu Lisa3,Ernst Daniel4,Zardoshti Pantea4,Novakovic Stanko5,Shah Monish4,Rajadnya Samir4,Lee Scott6,Agarwal Ishwar7,Hill Mark D.8,Fontoura Marcus9,Bianchini Ricardo4

Affiliation:

1. Virginia Tech, USA / Carnegie Mellon University, USA

2. Microsoft Azure, USA / University of Washington, USA

3. Unaffiliated, USA

4. Microsoft Azure, USA

5. Google, USA

6. Microsoft, USA

7. Intel, USA

8. Microsoft Azure, USA / University of Wisconsin-Madison, USA

9. Stone, USA

Publisher

ACM

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4. 2019. Single-Root Input/Output Virtualization. httpp://www.pcisig.com/specifications/iov/single_root 2019. Single-Root Input/Output Virtualization. httpp://www.pcisig.com/specifications/iov/single_root

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1. Exploiting Flat Namespace to Improve File System Metadata Performance on Ultra-Fast, Byte-Addressable NVMs;ACM Transactions on Storage;2024-01-30

2. Bridging Software-Hardware for CXL Memory Disaggregation in Billion-Scale Nearest Neighbor Search;ACM Transactions on Storage;2024-01-06

3. Understanding the Performance Impact of Queue-Based Resource Allocation in Scalable Disaggregated Memory Systems;2023 IEEE 16th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC);2023-12-18

4. A Case Against CXL Memory Pooling;Proceedings of the 22nd ACM Workshop on Hot Topics in Networks;2023-11-28

5. Sustainability in HPC: Vision and Opportunities;Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis;2023-11-12

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