Dates du colloque
19, 20 et 21 Avril 2019
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.