Talks

Talks

1. (August. 2025) "Efficient Statistical Computing with Mixed-Precision Power and GPUs Acceleration", JSM25 talk, Nashville, Tennessee, US, August 2025, PDF Overleaf

2. (Mar. 2025) "GPU-Accelerated Vecchia Approximation Algorithms for Gaussian Process Modeling with Batched Matrix Computations", SIAM CSE24 talk, March 2025, PDF Overleaf

3. (Nov. 2024) "Accelerating Geospatial Data Modeling Applications with MVAPICH: Leveraging GPU-Aware MPI and Inter-node Compression (A Future Insight)", SC24 OSU Booth talk, Atlanta, Georgia, US, November 2024. PDF  Overleaf

4. (Nov. 2024) "Boosting Earth System Model outputs and saving petabytes in their storage using exascale climate emulators", SC24 Gordon Bell talk, Atlanta, Georgia, US, November 2024. PDF Powerpoint ARVideo

5. (Aug. 2024) "Boosting Earth System Models: Saving Petabytes with Exascale Emulators and Parallel Mixed-Precision Linear Algebra on GPUs," Khalifa University invited talk, Abu Dhabi, UAE, August 2024. PDF Overleaf

6. (Aug. 2024) "Boosting Earth System Models: Saving Petabytes with Exascale Emulators and Parallel Mixed-Precision Linear Algebra on GPUs," MIT invited talk, Boston, US, August 2024. PDF

7. (Aug. 2024) "Sustainable Climate/Weather Modeling on Manycore Systems," 12th Annual MVAPICH User Group (MUG) Conference, Columbus, Ohio, US, August 2024. PDF Overleaf

8. (Mar. 2024) "Energy-Efficient GPU Computing With Mixed-Precision Modeling for Climate/Weather Applications," NVIDIA GTC24 AI conference at San Jose McEnery Convention Center, Silicon Valley, San Jose, CA, US, March 2024.  PDF Powerpoint

9. (Mar. 2024) "GPU-Accelerated Vecchia Approximations of Gaussian Processes for Geospatial Data using Batched Matrix Computations," SIAM PP24, Matrix Computations and Scientific Applications Minisymposium, Baltimore, Maryland, US, March 2024. PDF Overleaf

10. (Nov. 2023): SC23 BoF "High-Performance Computing for Environmental and Earth Sciences," BoF at SC23, Denver, Colorado, US, November 2023. (https://cemse.kaust.edu.sa/hicma/news/high-performance-computing-environmental-and-earth-sciences-birds-feather-sc23). PDF 

11. (Nov. 2023): "Large-Scale Climate/Weather Statistical Modeling and Prediction with MVAPICH2," MVAPICH group booth at SC23, Denver, Colorado, US, November 2023. (https://mvapich.cse.ohio-state.edu/conference/964/talks/).   PDF

12. (Nov. 2023): "Powering Spatial Statistics Analysis through High-Performance Computing with ExaGeoStat," the University of Colorado Denver, Denver, Colorado, US, November 2023.   PDF

13. (Aug. 2023): "Parallel Low-Rank Approximation of High-Dimensional Multivariate Normal Probabilities on Manycore Systems," Waseda University, Tokyo, Japan, ICIAM2023, August 2023.  PDF  Overleaf

14. (Aug. 2023) "Tile-Centric MP/TLR Approximation of Large-Scale Maximum Likelihood Estimation on Manycore Architectures," The Ohio State University, Columbus, Ohio, US, August 2023, (https://www.cse.ohio-state.edu/events/2023/08/talk-large-scale-tile-centric-spatial-statistics-modeling-and-prediction).   PDF Powerpoint

15. (March 2023) "Non-Gaussian Geostatistical Modeling and Prediction on Modern GPUs," NVIDIA GTC23 AI conference, online, March 2023, (https://www.nvidia.com/en-us/on-demand/session/gtcspring23-s51747/?playlistId=playList-d89f0db6-cedc-4705-8506-6dd8b7501215).  PDF  Powerpoint

16. (Feb. 2023) "Tile-Centric MP/TLR Approximation of Large-Scale Maximum Likelihood Estimation on Manycore Architectures," SIAM CSE23, Structured Low-Rank Matrices Minisymposium, Amsterdam, Netherlands, February, 2023.  PDF  Powerpoint

17. (Aug. 2022) "Accelerating Geostatistical Modeling with Mixed-Precision and Tile Low-Rank Algorithms on Large-Scale," 2022 Joint Statistical Meetings (JSM), Washington DC, US, August 2022,  PDF Powerpoint (https://ww2.amstat.org/meetings/jsm/2022/onlineprogram/AbstractDetails.cfm?abstractid=323341). 

18. (March 2022) "Climate/Weather Modeling and Prediction using Mixed-Precision on Tensor Core Hardware," NVIDIA GTC22 AI conference at San Jose McEnery Convention Center, Silicon Valley, San Jose, CA, US, March 2022. 

19. (Feb. 2022) "Large-Scale Geospatial Data Science on Emerging Parallel Hardware Systems Using ExaGeoStat," KAUST Applied Mathematics and Computational Sciences (AMCS)-STAT winter school, KAUST, Saudi Arabia, February 2022.

20. (Feb. 2022)  "Accelerating Space and Space-Time Statistical Modeling with Mixed-Precision Arithmetic," SIAM PP22, High-Performance Statistical Computing (HPSC): Challenges and Best Practices, February 2022, (https://meetings.siam.org/sess/dsp_talk.cfm?p=117760).  PDF Powerpoint

21. (Nov. 2021)  "Large-Scale Geospatial Data Science Using ExaGeoStat," KAUST Research Open Week (KROW)},  November 2021, (2nd best talk award).  PDF

22. (Jun. 2021)  "ExaGeoStat: Exploiting Data Sparsity/Mixed-Precision in Earth System Models," Intelligent illumination of the Earth KAUST workshop,  June 202,  (Best talk award).

23. (Apr. 2021) "Mixed-Precision Machine Learning Method for Environmental Applications on GPUs," NVIDIA GTC21 AI conference, online, April 2021, (https://www.nvidia.com/en-us/on-demand/session/gtcspring21-s31484/).  PDF Overleaf

24. (Mar. 2021) "ExaGeoStat: Moving Towards Large-Scale Geostatistical Modeling on Manycore Systems, SIAM  CSE21, On The Coupling between HPC and Statistics: Challenges, Opportunities, and Future Trends of Emerging Techniques minisymposium, March 2021.

25. (Oct. 2020) "ExaGeoStat: Moving Towards Large-Scale Geostatistical Modeling on Manycore Systems," KAUST CEMSE Division Graduate Seminar at KAUST, Saudi Arabia, October 2020. https://cemse.kaust.edu.sa/events/event/exageostat-moving-towards-large-scale-geostatistical-modeling-manycore-systems. 

26. (Mar. 2020) "A Mixed-Precision Machine Learning Approach to Accelerate Geostatistical Simulations and Prediction on GPUs," NVIDIA GTC20 AI conference at San Jose McEnery Convention Center, Silicon Valley, San Jose, CA, US, March 2020.  PDF Overleaf

27. (Jan. 2019) "Exascale Geostatistics Software for the Prediction of Spatial Data in Large-Scale Simulations using Machine Learning," Brookhaven National Laboratory,  January 2019.

28. (Sep. 2018) "A Machine Learning Framework for Large-Scale Weather and Climate Prediction using Exact and Approximate Linear Algebra Computation," IXPUG fall conference, Intel Corporation, Oregon, US, Sep. 25-28, 2018, https://www.ixpug.org/events/ixpug-fallconf-2018. 

29. (Jul. 2018) "Parallel Machine Learning Software for the Prediction of Large-Scale Geostatistics Simulations using Maximum Likelihood Estimation," Argonne National Laboratory, Lemont, IL, US, July 29, 2018, https://bit.ly/3htrDkD. 

30. (Aug. 2018) "Parallel Machine Learning Software for the Prediction of Large-Scale Geostatistics Simulations using Maximum Likelihood Estimation," Oak Ridge National Laboratory, Oak Ridge, TN, US, August 2018. https://csmd.ornl.gov/event/sameh-abdulah-parallel-machine-learning-software-prediction-large-scale-geostatistics.  

31. (Mar. 2019) "Leveraging ExaGeoStat with Mixed Precision Algorithms for Modeling and Predictions in Geo-Statistics Applications," In KAUST-NVIDIA Workshop, KAUST, Thuwal, Saudi Arabia, March 2019.

32. (Apr. 2018) "ExaGeoStat: A High-Performance Unified Framework for Geostatistics on Manycore System," KAUST-NVIDIA Workshop, KAUST, Thuwal, Saudi Arabia, April 2018.

33. (Apr. 2018) "Tile low-Rank Approximation of  Large-scale likelihood Estimation on Manycore Architectures," In Intel eXtreme Performance Users Group (IXPUG) Middle-East Conference 2018, KAUST, Thuwal, Saudi Arabia, April 2018.  PDF Powerpoint