TY - GEN
T1 - GeoDRIVE, an HPC flexible platform for seismic applications
AU - Sindi, G.
AU - Etienne, V.
AU - Momin, A.
AU - Tonellot, T.
N1 - KAUST Repository Item: Exported on 2022-06-30
Acknowledgements: Computations were performed on KAUST's Shaheen II supercomputer. We acknowledge the support of the KAUST Supercomputing Laboratory (KSL).
This publication acknowledges KAUST support, but has no KAUST affiliated authors.
PY - 2020/1/1
Y1 - 2020/1/1
N2 - We present GeoDRIVE, a software framework tailored to seismic applications embedding high performance features. We discuss the spatial cache-blocking algorithm for the Finite-Difference Time-Domain (FDTD) method and the protocol to find optimal parameters. GeoDRIVE was successfully applied on 3-D large scale seismic surveys using the Shaheen II supercomputer at KAUST. Two applications are presented. In the first one, we successfully produced a 3-D image of the subsurface geologic layers at a record resolution of 7.5 meters with a maximum frequency of 100 Hz (Dimensions International, 2018). The second application is an elastic modeling using in average 2434 compute nodes in parallel. This achievement represents a workload of 59.6 ExaFLOP on a current PetaFLOP/s machine. This indicates that the next generation of supercomputers targeting the ExaFLOP/s sustained performance, would reduce the running-time of our application to one hour or less. With such performance, it is reasonable to predict that 3D elastic imaging will be a routinely used algorithm by seismic exploration in the next years.
AB - We present GeoDRIVE, a software framework tailored to seismic applications embedding high performance features. We discuss the spatial cache-blocking algorithm for the Finite-Difference Time-Domain (FDTD) method and the protocol to find optimal parameters. GeoDRIVE was successfully applied on 3-D large scale seismic surveys using the Shaheen II supercomputer at KAUST. Two applications are presented. In the first one, we successfully produced a 3-D image of the subsurface geologic layers at a record resolution of 7.5 meters with a maximum frequency of 100 Hz (Dimensions International, 2018). The second application is an elastic modeling using in average 2434 compute nodes in parallel. This achievement represents a workload of 59.6 ExaFLOP on a current PetaFLOP/s machine. This indicates that the next generation of supercomputers targeting the ExaFLOP/s sustained performance, would reduce the running-time of our application to one hour or less. With such performance, it is reasonable to predict that 3D elastic imaging will be a routinely used algorithm by seismic exploration in the next years.
UR - http://hdl.handle.net/10754/679505
UR - https://www.earthdoc.org/content/papers/10.3997/2214-4609.201903277
UR - http://www.scopus.com/inward/record.url?scp=85091431091&partnerID=8YFLogxK
U2 - 10.3997/2214-4609.201903277
DO - 10.3997/2214-4609.201903277
M3 - Conference contribution
BT - Fourth EAGE Workshop on High Performance Computing for Upstream 2019
PB - European Association of Geoscientists and Engineers, [email protected]
ER -