Dates du colloque

19, 20 et 21 Avril  2019

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Issam SAID


Issam Said is an HPC solutions architect for Oil and Gas (O&G) at NVIDIA.

He mainly works with large energy accounts to help them embrace the NVIDIA HPC and deep learning end-to-end solutions, in order to accelerate their critical and data-intensive workloads.

He holds a PhD in computational science, funded by TOTAL, that he received from the University of Pierre and Marie Curie (Paris, France) in 2015. 

Prior to joining NVIDIA, Issam was a Postdoctoral Fellow at the University of Houston, where he worked on GPU programming models for the O&G industry. His technical expertise includes HPC, numerical methods, applied geophysics and deep learning applied to the O&G segment.

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