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
Similar Records
Parallel Application Performance on Two Generations of Intel Xeon HPC Platforms
Modular HPC I/O characterization with Darshan
Performance Characterization and Provenance of Distributed Task-based Workflows on HPC Platforms
Technical Report
·
Thu Oct 15 00:00:00 EDT 2015
·
OSTI ID:1226160
Modular HPC I/O characterization with Darshan
Conference
·
Sat Nov 12 23:00:00 EST 2016
·
OSTI ID:1366455
Performance Characterization and Provenance of Distributed Task-based Workflows on HPC Platforms
Conference
·
Sun Dec 31 23:00:00 EST 2023
·
OSTI ID:2588773