At CEMSE I found an excellent scientific environment. Big researchers from different backgrounds help me to gain expertise in computing plus awareness of several scientific applications in this area, especially in Statistics. Here I learn that you can do the same task at less time with the familiarity of the problem at your hand. More reading equals to fewer efforts to deal with your target problem. Finding an academic job at a big university is my dream. Assistant professor position is my next step to spread out my research ideas and transfer the knowledge I have gained from CEMSE to new hunger students.

Website

Sameh Abdulah personal webpage

Dr. Sameh Abdulah is a Research Scientist at the Extreme Computing Research Center.

Why KAUST?

Finding a university that believes in multi-disciplinary is challenging. KAUST multi-disciplinary vision aims to fill the gaps between different research fields to serve the human needs and consolidate the understanding of this mysterious world. Each country should have its KAUST to change the common vision of research around the world.

Why HPC?

High-performance Computing (HPC) is a way to move science from a limited scale to non-expected scale. Scalability means more analysis, understanding, and learning of the existing science. The era of HPC will reproduce a new understanding of the world with a higher capability of controlling and benefiting from it beside discovering more and more secrets!

Research Interests

Adding the HPC capabilities to existing science is a big challenge. Statistics has a huge number of tools and methods that can be more attractive if they scaled up. Dr Abdulah is doing this by working through two different groups to transfer knowledge and experience between two different views of the same problem. In other words, he is moving the traditional statistical tools and methods to the HPC era.

Education Profile

  • ​PhD in Computer Science and Engineering, The Ohio State University, Columbus, USA (2016).
  • MSc in Computer Science and Engineering, The Ohio State University, Columbus, USA (2014).
  • BSc and MSc in Computer Science, Egypt (2005-2009).

Selected Publications

Abdulah, S., Ltaief, H., Sun, Y., Genton, M. G., & Keyes, D. E. (2018). ExaGeoStat: A High Performance Unified Software for Geostatistics on Manycore Systems. IEEE Transactions on Parallel and Distributed Systems, 29(12), 2771–2784. https://doi.org/10.1109/tpds.2018.2850749
Handle
10754/628384
DOI
10.1109/tpds.2018.2850749
Altmetrics
Huang, H., Abdulah, S., Sun, Y., Ltaief, H., Keyes, D. E., & Genton, M. G. (2021). Competition on Spatial Statistics for Large Datasets. Journal of Agricultural, Biological and Environmental Statistics, 26(4), 580–595. https://doi.org/10.1007/s13253-021-00457-z
Handle
10754/670104
DOI
10.1007/s13253-021-00457-z
Altmetrics
Abdulah, S., Cao, Q., Pei, Y., Bosilca, G., Dongarra, J., Genton, M. G., Keyes, D. E., Ltaief, H., & Sun, Y. (2022). Accelerating Geostatistical Modeling and Prediction With Mixed-Precision Computations: A High-Productivity Approach With PaRSEC. IEEE Transactions on Parallel and Distributed Systems, 33(4), 964–976. https://doi.org/10.1109/tpds.2021.3084071
Handle
10754/669126
DOI
10.1109/TPDS.2021.3084071
Altmetrics
Salvana, M. L. O., Abdulah, S., Huang, H., Ltaief, H., Sun, Y., Genton, M. G., & Keyes, D. E. (2021). High Performance Multivariate Geospatial Statistics on Manycore Systems. IEEE Transactions on Parallel and Distributed Systems, 32(11), 2719–2733. https://doi.org/10.1109/tpds.2021.3071423
Handle
10754/666235
DOI
10.1109/TPDS.2021.3071423
Altmetrics
Abdulah, S., Ltaief, H., Sun, Y., Genton, M. G., & Keyes, D. E. (2019). Geostatistical Modeling and Prediction Using Mixed Precision Tile Cholesky Factorization. 2019 IEEE 26th International Conference on High Performance Computing, Data, and Analytics (HiPC). https://doi.org/10.1109/hipc.2019.00028
Handle
10754/666233
DOI
10.1109/HiPC.2019.00028
Altmetrics
Abdulah, S., Ltaief, H., Sun, Y., Genton, M. G., & Keyes, D. E. (2018). Parallel Approximation of the Maximum Likelihood Estimation for the Prediction of Large-Scale Geostatistics Simulations. 2018 IEEE International Conference on Cluster Computing (CLUSTER). https://doi.org/10.1109/cluster.2018.00089
Handle
10754/630314
DOI
10.1109/cluster.2018.00089
Altmetrics
Abdulah, S., Ltaief, H., Sun, Y., Genton, M. G., & Keyes, D. E. (2018). ExaGeoStat: A High Performance Unified Software for Geostatistics on Manycore Systems. IEEE Transactions on Parallel and Distributed Systems, 29(12), 2771–2784. https://doi.org/10.1109/tpds.2018.2850749
Handle
10754/628384
DOI
10.1109/tpds.2018.2850749
Altmetrics
Abdulah, S., Ltaief, H., Sun, Y., Genton, M. G., Keyes, D. E. (2017). ExaGeoStat: A High Performance Unified Framework for Geostatistics on Manycore Systems, (Preprint). https://hdl.handle.net/10754/626492
Handle
10754/626492
Abdulah, S., Ltaief, H., Sun, Y., Genton, M. G., & Keyes, D. E. (2019). Geostatistical Modeling and Prediction Using Mixed Precision Tile Cholesky Factorization. 2019 IEEE 26th International Conference on High Performance Computing, Data, and Analytics (HiPC). https://doi.org/10.1109/hipc.2019.00028
Handle
10754/666233
DOI
10.1109/HiPC.2019.00028
Altmetrics
Abdulah, S., Ltaief, H., Sun, Y., Genton, M. G., & Keyes, D. E. (2018). Parallel Approximation of the Maximum Likelihood Estimation for the Prediction of Large-Scale Geostatistics Simulations. 2018 IEEE International Conference on Cluster Computing (CLUSTER). https://doi.org/10.1109/cluster.2018.00089
Handle
10754/630314
DOI
10.1109/cluster.2018.00089
Altmetrics

Publications

Publication list per year
Also view Publications in the KAUST Repository.
Principal Investigator
KAUST CEMSE AMCS CS ECRC David Keyes

David Keyes

Professor, Applied Mathematics and Computational Sciences
Professors
KAUST CEMSE STAT STSDA Marc G. Genton

Marc G. Genton

Al-Khawarzmi Distinguished Professor, Statistics
Professors