This title appears in the Scientific Report :
2018
Please use the identifier:
http://hdl.handle.net/2128/19693 in citations.
Analysis of I/O Requirements of Scientific Applications
Analysis of I/O Requirements of Scientific Applications
The advance in both computation and data storage size in High Performance Computing (HPC) has not been matched by a similar advance in I/O connections. Emerging technologies have promised to overcome this gap. These could require scientific applications to change their I/O behaviour to benefit from...
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Personal Name(s): | El Sayed Mohamed, Salem (Corresponding author) |
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Contributing Institute: |
Jülich Supercomputing Center; JSC |
Imprint: |
Jülich
Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag
2018
|
Physical Description: |
xv, 199 S. |
Dissertation Note: |
Bergische Universität Wuppertal, Diss., 2017 |
ISBN: |
978-3-95806-344-0 |
Document Type: |
Book Dissertation / PhD Thesis |
Research Program: |
Doktorand ohne besondere Förderung Computational Science and Mathematical Methods |
Series Title: |
Schriften des Forschungszentrums Jülich Reihe. IAS Series
37 |
Link: |
OpenAccess OpenAccess |
Publikationsportal JuSER |
The advance in both computation and data storage size in High Performance Computing (HPC) has not been matched by a similar advance in I/O connections. Emerging technologies have promised to overcome this gap. These could require scientific applications to change their I/O behaviour to benefit from the improvements. Therefore, a deeper analysis of applications' I/O behaviour on modern HPC systems is required. This work defines I/O analysis criteria by which I/O behaviour can be systematically evaluated. Using the defined criteria a large set of collected I/O logs on a petascale Blue Gene/P installation, namely JUGENE, was analysed. To further the understanding of I/O architectures and their effect on I/O, a simplified parametric I/O model was developed. Results show that the implemented model has a comparable I/O behaviour to that of JUGENE, and therefore is used to evaluate new I/O technologies. |