The Lustre file system is an open source project, supported by Intel, and widely used in the HPC research centers and in the Oil and Gas industry.

In this research we started analyzing the “strong” scalability of the code using different MPI techniques at scale from 36 to 4608 ranks using the upcoming generation of Intel CPU. In the second part of the project we analyzed the impact of the I/O during the tests. We used different Lustre’s metric files to recognize the I/O pattern of the code and also exploited the benefit of using SSD devices as backend for Lustre. We finally explored different tuning techniques during “weak” scalability tests in order to optimize the performance of Lustre.


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