Estimation of numerical reproducibility on CPU and GPU F Jézéquel, JL Lamotte, I Saïd 2015 Federated Conference on Computer Science and Information Systems …, 2015 | 26 | 2015 |
Evaluation of successive CPUs/APUs/GPUs based on an OpenCL finite difference stencil H Calandra, R Dolbeau, P Fortin, JL Lamotte, I Said 2013 21st Euromicro International Conference on Parallel, Distributed, and …, 2013 | 19 | 2013 |
Leveraging the accelerated processing units for seismic imaging: A performance and power efficiency comparison against CPUs and GPUs I Said, P Fortin, JL Lamotte, H Calandra The International Journal of High Performance Computing Applications 32 (6 …, 2018 | 15 | 2018 |
Hybrid strategy for stencil computations on the APU P Eberhart, I Said, P Fortin, H Calandra The 1st International Workshop on High-Performance Stencil Computations, 43-49, 2014 | 10 | 2014 |
Asynchronous task-based execution of the reverse time migration for the oil and gas industry A AlOnazi, H Ltaief, D Keyes, I Said, S Thibault 2019 IEEE International Conference on Cluster Computing (CLUSTER), 1-11, 2019 | 6 | 2019 |
Exploiting temporal data reuse and asynchrony in the reverse time migration L Qu, R Abdelkhalak, H Ltaief, I Said, D Keyes The International Journal of High Performance Computing Applications 37 (2 …, 2023 | 4 | 2023 |
hiCL: an OpenCL abstraction layer for scientific computing, application to depth imaging on GPU and APU I Said, P Fortin, JL Lamotte, H Calandra Proceedings of the 4th International Workshop on OpenCL, 1-3, 2016 | 4 | 2016 |
Forward seismic modeling on AMD accelerated processing unit H Calandra, R Dolbeau, P Fortin, JL Lamotte, I Said Rice Oil & Gas HPC Workshop, Houston, TX, USA, 2013 | 3 | 2013 |
A Reservoir Model Characterization with a Bayesian Framework and a Modulus based Physics constrained Neural Operator C Etienam, I Said, O Ovcharenko, K Hester EAGE Seventh High Performance Computing Workshop 2023 (1), 1-5, 2023 | 2 | 2023 |
On the efficiency of the accelerated processing unit for scientific computing I Said, P Fortin, JL Lamotte, R Dolbeau, H Calandra Proceedings of the 24th High Performance Computing Symposium, 1-8, 2016 | 2 | 2016 |
Contributions of hybrid architectures to depth imaging: a CPU, APU and GPU comparative study I Said Université Pierre et Marie Curie-Paris VI, 2015 | 2 | 2015 |
A Novel AI Enhanced Reservoir Characterization with a Combined Mixture of Experts--NVIDIA Modulus based Physics Informed Neural Operator Forward Model C Etienam, Y Juntao, I Said, O Ovcharenko, K Tangsali, P Dimitrov, ... arXiv preprint arXiv:2404.14447, 2024 | 1 | 2024 |
High Performance Asynchronous Reverse Time Migration for Oil and Gas Exploration L Qu, R Abdelkhalak, H Ltaief, I Said, DE Keyes IEEE, 2020 | 1 | 2020 |
A Reservoir History Matching Approach Using a Coupled Mixture of Experts-Physics Informed Neural Operator Forward Model C Etienam, Y Juntao, I Said, O Ovcharenko ECMOR 2024 2024 (1), 1-35, 2024 | | 2024 |
Text-Guided Well Log-Constrained Realistic Subsurface Model Generation via Stable Diffusion O Ovcharenko, V Kazei, W Li, I Said 85th EAGE Annual Conference & Exhibition (including the Workshop Programme …, 2024 | | 2024 |
Reservoir History Matching of the Norne field with generative exotic priors and a coupled Mixture of Experts--Physics Informed Neural Operator Forward Model C Etienam, Y Juntao, O Ovcharenko, I Said arXiv preprint arXiv:2406.00889, 2024 | | 2024 |
Text-Guided Well Log-Constrained High-Fidelity Subsurface Model Generation via Stable Diffusion O Ovcharenko, V Kazei, W Li, I Said | | 2024 |
Estimation de la reproductibilité numérique dans les environnements hybrides CPU-GPU F Jézéquel, JL Lamotte, I Said CANUM (Congrès National d'Analyse Numérique), 2016 | | 2016 |
Efficient Reverse Time Migration on APU clusters I Said, P Fortin, JL Lamotte, H Calandra 2016 Rice Oil & Gas HPC Conference, 2016 | | 2016 |
Apports des architectures hybrides à l'imagerie profondeur: étude comparative entre CPU, APU et GPU. I Said Paris 6, 2015 | | 2015 |