The complexity involved in using APIs and resource managers from mulple cloud providers, supercompung centers, and partners highlights the need for having a single, unified way to launch and manage computaon workloads on mulple target machines – on-premises or in the cloud. We were able to efficiently run a large scale 3D RTM benchmark with thousands of shots on an on-demand cloud-based GPU-cluster providing 5 PFlops (peak SP). For this run, we used a domain decomposion and process placement schema that achieves a sustained communicaon performance close to 160Gb/s on the border exchange used by the wave propagaon finite difference method.


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