A Fault Tolerant Implementation for a Massively Parallel Seismic Framework

Suha N. Kayum, Hussain Alsalim, Thierry Laurent Tonellot, Ali Momin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


An increase in the acquisition of seismic data volumes has resulted in applications processing seismic data running for weeks or months on large supercomputers. A fault occurring during processing would jeopardize the fidelity and quality of the results, hence necessitating a resilient application. GeoDRIVE is a High-Performance Computing (HPC) software framework tailored to massive seismic applications and supercomputers. A fault tolerance mechanism that capitalizes on Boost.asio for network communication is presented and tested quantitatively and qualitatively by simulating faults using fault injection. Resource provisioning is also illustrated by adding more resources to a job during simulation. Finally, a large-scale job of 2,500 seismic experiments and 358 billion grid elements is executed on 32,000 cores. Subsets of nodes are killed at different times, validating the resilience of the mechanism in large scale. While the implementation is demonstrated in a seismic application context, it can be tailored to any HPC application with embarrassingly parallel properties.
Original languageEnglish (US)
Title of host publication2020 IEEE High Performance Extreme Computing Conference (HPEC)
ISBN (Print)9781728192192
StatePublished - Sep 22 2020
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2021-06-30
Acknowledgements: The authors acknowledge the support of the KAUST Supercomputing Laboratory and the usage of KAUST Shaheen II supercomputer for the runs presented.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.


Dive into the research topics of 'A Fault Tolerant Implementation for a Massively Parallel Seismic Framework'. Together they form a unique fingerprint.

Cite this