Using IOR to analyze the I/O Performance for HPC Platforms
The HPC community is preparing to deploy petaflop-scale computing platforms that may include hundreds of thousands to millions of computational cores over the next 3 years. Such explosive growth in concurrency creates daunting challenges for the design and implementation of the I/O system. In this work, we first analyzed the I/O practices and requirements of current HPC applications and used them as criteria to select a subset of microbenchmarks that reflect the workload requirements. Our analysis led to selection of IOR, an I/O benchmark developed by LLNL for the ASCI Purple procurement, as our tool to study the I/O performance on two HPC platforms. We selected parameterizations for IOR that match the requirements of key I/O intensive applications to assess its fidelity in reproducing their performance characteristics.
- Research Organization:
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Sponsoring Organization:
- USDOE Director. Office of Science. Advanced ScientificComputing Research
- DOE Contract Number:
- DE-AC02-05CH11231
- OSTI ID:
- 923356
- Report Number(s):
- LBNL-62647; R&D Project: KX1310; BnR: KJ0102000; TRN: US200804%%1083
- Resource Relation:
- Conference: Cray User Gruop Conference 2007, Seattle, WA, May7-10, 2007
- Country of Publication:
- United States
- Language:
- English
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