This talk will be focused on how AI techniques can be used in the development of HPC for Oil & Gas ranging from seismic and image processing to environment and tools for reservoir simulations.
Large image dataset can be used to interprete images. Also as larger HPC systems become more and more heterogeneous by adding GPUs and other devices for performance and energy efficiency, they also become more and complex to write & optimize the HPC applications for. For instance, both CPU and GPUs have several types of memories and caches that codes need to be optimized for. We show how AI techniques can help us pick among 10s of thousands of parameters one ends up needing to optimize for the best possible performance of some given complex applications. Ideas for future opportunities will also be discussed.
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