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On the basis of four key attributes of the network system viability, analytical hierarchy process is used to divide the network system from top to bottom into three factor layers of software, hardware and running environment, and a set of extractable, observable and maneuverable index system is proposed. A proper algorithm is applied to perform quantitative calculation, and the results are analyzed by a graded evaluation, which can clearly reflect the key attributes of the network system viability. Verified by experiment, the proposed index system of network system viability quantitative evaluation is more feasible, which makes the evaluation results more significant to the guidance of engineering. [ABSTRACT FROM AUTHOR]

Wave equation prestack depth migration is a high-precision seismic imaging method, suitable for complex media with sharp lateral velocity variation, however, its huge computation hinders its application. Xeon Phi is a new product for throughput computing which provides a better choice for these methods. Taking the Split Step Fourier algorithm for example, we introduce the code migration and performance optimization on Xeon Phi platform. We offload the kernel which is fully threaded to Xeon Phi by predefined compiler pragmas so as to take full advantage of SIMD engine to improve the efficiency of the parallelization processing; and we change the code structure to ensure the vectorization. Besides, by extending the parallel processing framework with the dynamic workload-balance mechanism, we develop a seismic imaging system based on Xeon Phi platform which is suitable for large-scale, full hybrid heterogeneous clusters. Finally, we conduct a real workload test and the results show that Xeon Phi platform can significantly improve the seismic imaging efficiency, and has good core scalability. [ABSTRACT FROM AUTHOR]