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Titlebook: Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI; 17th Smoky Mountains Jeffrey Nichols,Becky

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1865-0929 eld in Oak Ridge, TN, USA*, in August 2020..The 36 full papers and 1 short paper presented were carefully reviewed and selected from a total of 94 submissions. The papers are organized in topical sections of computational applications: converged HPC and artificial intelligence; system software: data
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Toward Real-Time Analysis of Synchrotron Micro-Tomography Data: Accelerating Experimental Workflows ration with an end-to-end scientific workflow on Summit based on micro-computed tomography data. Computational elements include: 1) reconstruction of volumetric image data; 2) denoising with deep neural networks; and 3) non-local means based segmentation and quantitative analysis.
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Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI978-3-030-63393-6Series ISSN 1865-0929 Series E-ISSN 1865-0937
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https://doi.org/10.1007/978-3-030-63393-6artificial intelligence; cloud computing; computer hardware; computer networks; computer systems; compute
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978-3-030-63392-9Springer Nature Switzerland AG 2020
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https://doi.org/10.1007/978-3-531-92916-3ion using the finite difference, the finite element methods and spectral element methods to solve the wave equations numerically. The paper presents a new method to improve the performance of the seismic wave simulation and inversion by integrating the deep learning software platform and deep learni
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