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UID:submissions.pasc-conference.org_PASC19_sess137@linklings.com
SUMMARY:MS04 - High-Performance Computing for Earthquake Simulation, Geoha
 zard Modeling, and Seismic Imaging, Part I of II
DESCRIPTION:Minisymposium\nSolid Earth Dynamics\n\nLarge-Scale GPU Matrix 
 Computing of Discrete Element Method\n\nLiu\n\nHPC technology has been wid
 ely used in earth science numerical simulation, such as imaging, molecular
  dynamics of mineral, geodynamics, etc. Most of the numerical simulations 
 are based on continuous methods. However, many geological processes involv
 e discontinuous processes, failure and large deform...\n\n----------------
 -----\nDiscussion Forum\n\nRuan\n\nDiscussion Forum on High-Performance Co
 mputing for Earthquake Simulation, Geohazard Modeling, and Seismic Imaging
 .\n\n---------------------\nAddressing the IO Bottleneck in Seismic Proces
 sing/Imaging on the Cloud\n\nClapp\n\nTraditional HPC IO approaches perfor
 m poorly in cloud environments. Object store architectures tend to have hi
 gh latencies and low bandwidth on a per thread basis. Performance can be i
 mproved dramatically by break a dataset into blocks that are read in paral
 lel. By caching blocks in main memory a us...\n\n---------------------\nCo
 mputing Platform for Earth Science with Artificial Intelligence Techniques
 \n\nSee\n\nNumerical methods for Earth Science simulation have progressed 
 extensively over the years. As the models are complex and compute hungry, 
 in order to simulate a realistic model, one requires very large systems. A
 t the same time, artificial intelligence techniques such as machine learni
 ng or deep lear...\n
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