WATCH THE PRESENTATIONParallel I/O is an integral component of modern high performance computing, especially in storing and processing very large datasets, such as the case of seismic imaging applications. The storage hierarchy includes nowadays additional layers, the latest being the usage of SSD based storage as a burst buffer for I/O acceleration.
We analyze here the performance of an I/O intensive seismic application, natural migration algorithm at scale, on a large installation of Lustre parallel file system and SSD-based burst buffer. Our results show a significant performance improvement by tuning the Lustre stripe count and its counterpart in burst buffer technology for various node counts. The advantage of burst buffer is demonstrated with up to 34% performance improvement when compared to Lustre.
