Enhancing Metadata Transfer Efficiency: Unlocking the Potential of DAOS in the ADIOS context-Reference-Cited by-同舟云学术

Enhancing Metadata Transfer Efficiency: Unlocking the Potential of DAOS in the ADIOS context

Published:2023-11-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis
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Author:

Sarpangala Venkatesh Ranjan¹^ORCID,Eisenhauer Greg¹^ORCID,Klasky Scott²^ORCID,Gavrilovska Ada¹^ORCID

Affiliation:

1. Georgia Institute of Technology, USA

2. Oak Ridge National Laboratory, United States of America

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3624062.3624193

Reference7 articles.

1. Parallel I/O and the metadata wall

2. Michael Hennecke . 2020 . Daos: A scale-out high performance storage stack for storage class memory. Supercomputing frontiers (2020), 40. Michael Hennecke. 2020. Daos: A scale-out high performance storage stack for storage class memory. Supercomputing frontiers (2020), 40.

3. Evaluation of HPC Application I/O on Object Storage Systems

4. Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks

5. Ricardo Macedo , Mariana Miranda , Yusuke Tanimura , Jason Haga , Amit Ruhela , Stephen Lien Harrell , Richard Todd Evans , José Pereira , and Joao Paulo . 2023 . Taming Metadata-intensive HPC Jobs Through Dynamic , Application-agnostic QoS Control. In 23nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid). IEEE. Ricardo Macedo, Mariana Miranda, Yusuke Tanimura, Jason Haga, Amit Ruhela, Stephen Lien Harrell, Richard Todd Evans, José Pereira, and Joao Paulo. 2023. Taming Metadata-intensive HPC Jobs Through Dynamic, Application-agnostic QoS Control. In 23nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid). IEEE.

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