Seismic Processing Performance Analysis on Different Hardware Environment


  • Ekaterina Olegovna Tyutlyaeva ZAO RSC Technologies
  • Sergey Konyukhov ZAO RSC Technologies
  • Igor Odintsov ZAO RSC Technologies
  • Alexander Moskovsky ZAO RSC Technologies



In this research we have used computational-intensive software that implements 2D and 3D seismic migrations to study mini-application behavior for a set of the computational architectures. In addition to three architecture type comparative analysis, two CPU generation comparisons have been done.

The dynamic behavior of chosen mini-applications was studied using BSC performance analysis tools to identify their common features.

In summary, we observe the best performance of mini-applications on Intel Xeon E5-2698 CPU generation 4.  Intel Xeon Phi 7250 peculiar architectural characteristics requires careful source code optimizations to help the compiler to effectively vectorize time-consuming loops and to improve the cache locality in order to achieve higher performance level. Elbrus-4S CPU is theoretically suitable for such kind of applications, but currently observed performance is an order of magnitude less than on Xeon E5 family, we believe that the frequency and RAM bandwidth increasing, as well as source code optimization work could improve it’s performance.


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How to Cite

Tyutlyaeva, E. O., Konyukhov, S., Odintsov, I., & Moskovsky, A. (2017). Seismic Processing Performance Analysis on Different Hardware Environment. Supercomputing Frontiers and Innovations, 4(3), 80–90.