Serverless seismic imaging in the cloud

TitleServerless seismic imaging in the cloud
Publication TypeConference
Year of Publication2020
AuthorsPhilipp A. Witte, Mathias Louboutin, Charles Jones, Felix J. Herrmann
Conference NameRice Oil and Gas High Performance Computing Conference 2020
Month03
Keywordscloud, HPC, reverse-time migration, serverless
Abstract

This talk presents a serverless approach to seismic imaging in the cloud based on high-throughput containerized batch processing, event-driven computations and a domain-specific language compiler for solving the underlying wave equations. A 3D case study on Azure demonstrates that this approach allows reducing the operating cost of up to a factor of 6, making the cloud a viable alternative to on-premise HPC clusters for seismic imaging.

Notes

Rice Oil and Gas High Performance Computing Conference 2020

URLhttps://slim.gatech.edu/Publications/Public/Conferences/RHPC/2019/witte2019RHPCssi/witte2019RHPCssi.html
Presentation
URL2
Citation Keywitte2019RHPCssi