GMT: GPU Orchestrated Memory Tiering for the Big Data Era-Reference-Cited by-同舟云学术

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GMT: GPU Orchestrated Memory Tiering for the Big Data Era

Published:2024-04-27 Issue: Volume: Page:464-478
ISSN:
Container-title:Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3
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Author:

Chang Chia-Hao¹^ORCID,Han Jihoon²^ORCID,Sivasubramaniam Anand¹^ORCID,Sharma Mailthody Vikram³^ORCID,Qureshi Zaid⁴^ORCID,Hwu Wen-Mei⁴^ORCID

Affiliation:

1. The Pennsylvania State University, University Park, Pennsylvania, United States of America

2. The Pennsylvania State University, University Park, Pennsylvania, USA

3. NVIDIA Research, Santa Clara, United States of America

4. NVIDIA Research, Santa Clara, USA

Publisher

ACM

Reference49 articles.

1. Control groups. https://docs.kernel.org/admin-guide/cgroup-v1/cgroups.html.

2. Gpudirect storage: A direct path between storage and gpu memory. https://developer.nvidia.com/blog/gpudirect-storage.

3. Heterogeneous memory management. https://www.kernel.org/doc/html/v5.0/vm/hmm.html.

4. Numa balancing. https://mirrors.edge.kernel.org.

5. Simplifying gpu application development with heterogeneous memory management. https://developer.nvidia.com/blog/simplifying-gpu-application-development-with-heterogeneous-memory-management/.

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