Distributed-Memory Load Balancing With Cyclic Token-Based Work-Stealing Applied to Reverse Time Migration

@article{Assis2019DistributedMemoryLB,
  title={Distributed-Memory Load Balancing With Cyclic Token-Based Work-Stealing Applied to Reverse Time Migration},
  author={{\'I}talo A. S. Assis and Antonio R.G. Oliveira and Tiago Barros and Idalmis Milian Sardina and Calebe P. Bianchini and Samuel Xavier De-Souza},
  journal={IEEE Access},
  year={2019},
  volume={7},
  pages={128419-128430}
}
  • Ítalo A. S. Assis, Antonio R.G. Oliveira, +3 authors Samuel Xavier De-Souza
  • Published in IEEE Access 2019
  • Computer Science
  • Reverse time migration (RTM) is a prominent technique in seismic imaging. Its resulting subsurface images are used in the industry to investigate with higher confidence the existence and the conditions of oil and gas reservoirs. Because of its high computational cost, RTM must make use of parallel computers. Balancing the workload distribution of an RTM is a growing challenge in distributed computing systems. The competition for shared resources and the differently-sized tasks of the RTM are… CONTINUE READING

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