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Reverse time migration (RTM) is a prominent technique in seismic imaging. Itsresulting subsurface images are used in the industry to investigate with higherconfidence the existence and the conditions of oil and gas reservoirs. Becauseof its high computational cost, RTM must make use of parallel computers.Balancing the workload distribution of an RTM is a growing challenge indistributed computing systems. The competition for shared resources and thedifferently-sized tasks of the RTM are some of the possible sources of loadimbalance. Although many load balancing techniques exist, scaling up for largeproblems and large systems remains a challenge because synchronization overheadalso scales. This paper proposes a cyclic token-based work-stealing (CTWS)algorithm for distributed memory systems applied to RTM. The novel cyclic tokenapproach reduces the number of failed steals, avoids communication overhead,and simplifies the victim selection and the termination strategy. The proposedmethod is implemented as a C library using the one-sided communication featureof the message passing interface (MPI) standard. Results obtained by applyingthe proposed technique to balance the workload of a 3D RTM system present afactor of 14.1% speedup and reductions of the load imbalance of 78.4% whencompared to the conventional static distribution.

Distributed-Memory Load Balancing with Cyclic Token-based Work-Stealing Applied to Reverse Time Migration