DocumentCode
2195693
Title
Exploiting Latent I/O Asynchrony in Petascale Science Applications
Author
Payne, Mary ; Widener, Patrick ; Wolf, Matthew ; Abbasi, Hasan ; McManus, Scott ; Bridges, Patrick G. ; Schwan, Karsten
Author_Institution
Dept. of Comput. Sci., Univ. of New Mexico, Albuquerque, NM
fYear
2008
fDate
7-12 Dec. 2008
Firstpage
410
Lastpage
411
Abstract
Current and emerging large-scale HPC applications face daunting I/O challenges. In existing codes, problems arise both from large data volumes and from the need to perform complex online data manipulations, including data staging, reorganization, and transformation. We describe three related techniques for enabling, encouraging, and exploiting latent I/O asynchrony in HPC applications: data taps, IOgraphs, and Metabots.
Keywords
data handling; input-output programs; IOgraphs; Metabots; complex online data manipulations; data reorganization; data staging; data taps; data transformation; large-scale HPC applications; latent I-O asynchrony; petascale science applications; Application software; Bandwidth; Data mining; Filters; High performance computing; Monitoring; Network servers; Petascale computing; Routing; USA Councils; asynchronous I/O; high performance computing;
fLanguage
English
Publisher
ieee
Conference_Titel
eScience, 2008. eScience '08. IEEE Fourth International Conference on
Conference_Location
Indianapolis, IN
Print_ISBN
978-1-4244-3380-3
Electronic_ISBN
978-0-7695-3535-7
Type
conf
DOI
10.1109/eScience.2008.106
Filename
4736821
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