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Thursday, March 3 • 11:30am - 11:50am
Facilities, Infrastructure & Visualization: Data Centric Optimizations of Seismic Natural Migration Algorithm at Scale on Parallel File Systems and Burst Buffer

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Parallel 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.

Speakers
AA

Abdullah Altheyab

King Abdullah University of Science and Technology
avatar for Saber Feki

Saber Feki

Computational Scientist, KAUST Supercomputing Laboratory
Saber Feki received his PhD and M.S in computer science at the University of Houston in 2008 and 2010 respectively. In 2011, he joined the oil and gas industry with TOTAL as an HPC Research Scientist working on seismic imaging applications using different programming models including CAF, OpenACC and HMPP. Saber currently holds the position of a computational scientist at the KAUST Supercomputing Laboratory where he was part of the technical... Read More →



Thursday March 3, 2016 11:30am - 11:50am
BioScience Research Collaborative Building (BRC), Room 103

Attendees (10)