NoaSci: A Numerical Object Array Library for I/O of Scientific Applications on Object Storage

Steven W. D. Chien,Artur Podobas,Martin Svedin, Andriy Tkachuk,Salem El Sayed,Pawel Herman,Ganesan Umanesan,Sai Narasimhamurthy,Stefano Markidis

2022 30th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP)（2022）

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摘要

The strong consistency and stateful workflow are seen as the major factors for limiting parallel I/O performance because of the need for locking and state management. While the POSIX-based I/O model dominates modern HPC storage infrastructure, emerging object storage technology can potentially improve I/O performance by eliminating these bottlenecks. Despite a wide deployment on the cloud, its ado...

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Limiting,Clouds,Programming,Libraries,Arrays,Meteorology

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