Our next generation of petroleum industry holds the promise of increased performance, along with mass customization, better quality and improved productivity. It has as its design principles interoperability, virtualization, decentralization, real-time capacity and supercomputing. The increasing need for computing power today justifies the continuous search for techniques that decrease the time to answer usual computational problems. To take advantage of new hybrid parallel architectures composed by multithreading and multiprocessor hardware, our current efforts involve the design and validation of highly parallel algorithms that efficiently explore the characteristics of such architectures. In this paper, we propose a heterogeneous computational model for seismic imaging using the 2D Full-Waveform Inversion (FWI) to easily exploit multicore and multi-GPU systems. We present an optimization of an algorithm and discuss some results.


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