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GTC ON-DEMAND

Performance Optimization
Presentation
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High Performance Aynchronous Execution of the Reverse Time Migration for the Oil & Gas Industry
Abstract:
Come and learn how task-based programming model leverages the performance of the Reverse Time Migration (RTM) on large GPU clusters. By relying on a dynamic runtime system to schedule the various tasks of the RTM (e.g., stencil computation kernel, Perfectly Matched Layer computations, I/O operations, image condition calculations, etc.), the overall application translates into an out-of-order execution. This opens up new opportunities to further overlap expensive and non-critical operations, such as I/O, with tasks which belong to the critical path, such as high performance GPU stencil kernel computation during the forward/backward modeling. Idle time is then reduced, while load balancing is achieved through work stealing on each node. To further reduce the overhead of the I/O operations, numerical compression algorithms are investigated, in addition to the asynchronous execution, to prevent from running in an out-of-core mode of operation for maximum occupancy on GPU memory.
 
Topics:
Performance Optimization, Seismic & Geosciences
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8235
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