We present several strategies to speed-up full waveform inversion via specific optimizations of the time-domain finite-difference modeling. Efficient vectorization of the computations is achieved on the Intel xeon computing core when modifying the absorbing boundaries. We propose also to increase the computational speed by using high orders in space and by solving the second-order wave equation instead of the first-order formulation. These strategies combined together allow for a reduction of the computation time by a factor of 27 for modeling using the SEG SEAM II model. Finally, we show that the optimized algorithm has a quasi-perfect scalability on one dual-socket computing node.


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