I/O Performance on a Massively Parallel Cray XT3/XT4
Conference
·
OSTI ID:931129
- ORNL
This paper will present an overview of the current status of I/O on the Cray XT line of supercomputers and provide guidance to application developers and users for achieving efficient I/O. A large amount of I/O benchmark results will be presented, motivated by projected I/O requirements for some widely-used scientific applications in the DOE. Finally, the authors will interpret and summarize these benchmark results to give forward-looking guidance for I/O in large-scale application runs on a Cray XT3/XT4.
- Research Organization:
- Oak Ridge National Laboratory (ORNL); Center for Computational Sciences
- Sponsoring Organization:
- SC USDOE - Office of Science (SC)
- DOE Contract Number:
- AC05-00OR22725
- OSTI ID:
- 931129
- Country of Publication:
- United States
- Language:
- English
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