About Sameh Abdulah Sameh Abdulah Senior Research Scientist, Applied Mathematics and Computational Science exageostat extreme computing parallel algorithms large-scale computing machine learning Statistical computing Dr. Sameh Abdulah specializes in HPC, scalable algorithms, and climate modeling, with innovations receiving the ACM Gordon Bell Prize for Climate Modelling. Events Presented Events Jan 25 - Jan 31, 2026 Energy-Efficient and Sustainable Spatial Modeling Using GPU Computing Sameh Abdulah, Senior Research Scientist, Applied Mathematics and Computational Science Jan 29, 12:00 - 13:00 B9 L2 R2325 HPC This talk highlights recent advances in energy-efficient and sustainable spatial modeling using GPU computing. It focuses on mixed-precision algorithms and scalable spatial statistical modeling that significantly reduce computational cost and power consumption while preserving scientific accuracy. Oct 4 - Oct 10, 2020 ExaGeoStat: Moving Towards Large-Scale Geostatistical Modeling on Manycore Systems Sameh Abdulah, Senior Research Scientist, Applied Mathematics and Computational Science Oct 8, 12:00 - 13:00 KAUST Adaptive modeling We present Exascale GeoStatistics (ExaGeoStat) software, a high-performance library implemented on a wide variety of contemporary hybrid distributed-shared supercomputers whose primary target is climate and environmental prediction applications.
Energy-Efficient and Sustainable Spatial Modeling Using GPU Computing Sameh Abdulah, Senior Research Scientist, Applied Mathematics and Computational Science Jan 29, 12:00 - 13:00 B9 L2 R2325 HPC This talk highlights recent advances in energy-efficient and sustainable spatial modeling using GPU computing. It focuses on mixed-precision algorithms and scalable spatial statistical modeling that significantly reduce computational cost and power consumption while preserving scientific accuracy.
ExaGeoStat: Moving Towards Large-Scale Geostatistical Modeling on Manycore Systems Sameh Abdulah, Senior Research Scientist, Applied Mathematics and Computational Science Oct 8, 12:00 - 13:00 KAUST Adaptive modeling We present Exascale GeoStatistics (ExaGeoStat) software, a high-performance library implemented on a wide variety of contemporary hybrid distributed-shared supercomputers whose primary target is climate and environmental prediction applications.
Engage ORCID ShareClipboard Related Sites Environmental Statistics (ES) Applied Mathematics and Computational Science (AMCS) Hierarchical Computations on Manycore Architectures (HiCMA) Statistics (STAT) Spatio-Temporal Statistics and Data Science (STSDS) Related Content Articles 11 Events 2 Related Links Publication list per year Also view Publications in the KAUST Repository. Sameh Abdulah personal webpage
