Title
NoaSci: A Numerical Object Array Library for I/O of Scientific Applications on Object Storage
Abstract
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...
Year
DOI
Venue
2022
10.1109/PDP55904.2022.00034
2022 30th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP)
Keywords
DocType
ISSN
Limiting,Clouds,Programming,Libraries,Arrays,Meteorology
Conference
1066-6192
ISBN
Citations 
PageRank 
978-1-6654-6958-6
0
0.34
References 
Authors
0
9