Talks
Talks
(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
(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
(Nov. 2023): "Powering Spatial Statistics Analysis through High-Performance Computing with ExaGeoStat," the University of Colorado Denver, Denver, Colorado, US, November 2023. PDF
(Aug. 2023): "Parallel Low-Rank Approximation of High-Dimensional Multivariate Normal Probabilities on Manycore Systems," Waseda University, Tokyo, Japan, ICIAM2023, August 2023.
(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
(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).
(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.
(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, (https://ww2.amstat.org/meetings/jsm/2022/onlineprogram/AbstractDetails.cfm?abstractid=323341).
(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.
(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.
(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).
(Nov. 2021) "Large-Scale Geospatial Data Science Using ExaGeoStat," KAUST Research Open Week (KROW)}, November 2021, (2nd best talk award).
(Jun. 2021) "ExaGeoStat: Exploiting Data Sparsity/Mixed-Precision in Earth System Models," Intelligent illumination of the Earth KAUST workshop, June 202, (Best talk award).
(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/).
(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.
(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.
(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.
(Jan. 2019) "Exascale Geostatistics Software for the Prediction of Spatial Data in Large-Scale Simulations using Machine Learning," Brookhaven National Laboratory, January 2019.
(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.
(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.
(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.
(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.
(Apr. 2018) "ExaGeoStat: A High-Performance Unified Framework for Geostatistics on Manycore System," KAUST-NVIDIA Workshop, KAUST, Thuwal, Saudi Arabia, April 2018.
(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.