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Using IOR to analyze the I/O Performance for HPC Platforms

Conference ·
OSTI ID:923356
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:
Ernest Orlando Lawrence Berkeley NationalLaboratory, Berkeley, CA (US)
Sponsoring Organization:
USDOE Director. Office of Science. Advanced ScientificComputing Research
DOE Contract Number:
AC02-05CH11231
OSTI ID:
923356
Report Number(s):
LBNL--62647; BnR: KJ0102000
Country of Publication:
United States
Language:
English

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