Recent invited talks, keynotes, and conference presentations, with the newest activities first. The complete numbered history below runs from newest to oldest.
August 2026 — High-Performance Federated and Distributed Modeling of Spatial Data at Scale. Invited talk, MVAPICH MUG, Columbus, Ohio, USA.
August 2026 — An Introduction to High-Performance Statistical Computing (HPSC). Invited talk, JSM 2026, Boston, Massachusetts, USA. Program
March 2026 — Asynchronous Federated Spatial Modeling with Low-Rank Gaussian Processes. Invited talk, SIAM PP26, Berlin, Germany.
January 2026 — Energy-Efficient and Sustainable Spatial Modeling Using Mixed-Precision Computing. Invited talk, KAUST AMCS-STAT, Thuwal, Saudi Arabia.
September 2025 — Scaling Spatial Data Modeling with Batched Linear Algebra: A MAGMA-Based Solution. Invited ICL Friday Lunch Talk, Knoxville, Tennessee, USA.
September 2025 — Boosting Earth System Models: Saving Petabytes with Exascale Emulators. Keynote, ICTP/UM6P Advanced School on HPC and Applied AI for High-Resolution Regional Climate Modeling, Ben Guerir, Morocco. School program
August 2025 — Scalable Spatial Statistical Approximations as Emerging MPI Workloads. Invited talk, MVAPICH MUG, Columbus, Ohio, USA. Video
(August 2025) "Efficient Statistical Computing with Mixed-Precision Power and GPUs Acceleration", JSM25 talk, Nashville, Tennessee, US, August 2025, PDF · Overleaf
April 2025 — Leveraging Approximation Techniques for Sustainable Large-Scale Spatial Statistical Computing. Invited talk, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
(Mar. 2025) "GPU-Accelerated Vecchia Approximation Algorithms for Gaussian Process Modeling with Batched Matrix Computations", SIAM CSE25 talk, March 2025, PDF · Overleaf
Listed from most recent to oldest, numbered from 42 down to 1. Slides, recordings, and event programs are linked where available.
42. August 2026 — An Introduction to High-Performance Statistical Computing (HPSC). Invited talk, JSM 2026, Boston, Massachusetts, USA. Program
41. August 2026 — High-Performance Federated and Distributed Modeling of Spatial Data at Scale. Invited talk, MVAPICH MUG, Columbus, Ohio, USA.
40. March 2026 — Asynchronous Federated Spatial Modeling with Low-Rank Gaussian Processes. Invited talk, SIAM PP26, Berlin, Germany.
39. January 2026 — Energy-Efficient and Sustainable Spatial Modeling Using Mixed-Precision Computing. Invited talk, KAUST AMCS-STAT, Thuwal, Saudi Arabia.
38. September 2025 — Boosting Earth System Models: Saving Petabytes with Exascale Emulators. Keynote, ICTP/UM6P Advanced School on HPC and Applied AI for High-Resolution Regional Climate Modeling, Ben Guerir, Morocco. School program
37. September 2025 — Scaling Spatial Data Modeling with Batched Linear Algebra: A MAGMA-Based Solution. Invited ICL Friday Lunch Talk, Knoxville, Tennessee, USA.
36. (August 2025) "Efficient Statistical Computing with Mixed-Precision Power and GPUs Acceleration", JSM25 talk, Nashville, Tennessee, US, August 2025, PDF · Overleaf
35. August 2025 — Scalable Spatial Statistical Approximations as Emerging MPI Workloads. Invited talk, MVAPICH MUG, Columbus, Ohio, USA. Video
34. April 2025 — Leveraging Approximation Techniques for Sustainable Large-Scale Spatial Statistical Computing. Invited talk, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
33. (Mar. 2025) "GPU-Accelerated Vecchia Approximation Algorithms for Gaussian Process Modeling with Batched Matrix Computations", SIAM CSE25 talk, March 2025, PDF · Overleaf
32. (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
31. (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
30. (Aug. 2024) "Sustainable Climate/Weather Modeling on Manycore Systems," 12th Annual MVAPICH User Group (MUG) Conference, Columbus, Ohio, US, August 2024. PDF · Overleaf
29. (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
28. (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
27. (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
26. (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
25. January 2024 — GPU-Accelerated Vecchia Approximations of Gaussian Processes for Geospatial Data Using Batched Matrix Computations. DD28, KAUST, Thuwal, Saudi Arabia.
24. (Nov. 2023): "Powering Spatial Statistics Analysis through High-Performance Computing with ExaGeoStat," the University of Colorado Denver, Denver, Colorado, US, November 2023. PDF
23. (Nov. 2023): "Large-Scale Climate/Weather Statistical Modeling and Prediction with MVAPICH2," MVAPICH group booth at SC23, Denver, Colorado, US, November 2023. Program · PDF
22. (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
21. (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, . Program · PDF · Powerpoint
20. (Aug. 2023): "Parallel Low-Rank Approximation of High-Dimensional Multivariate Normal Probabilities on Manycore Systems," Waseda University, Tokyo, Japan, ICIAM2023, August 2023. PDF · Overleaf
19. (March 2023) "Non-Gaussian Geostatistical Modeling and Prediction on Modern GPUs," NVIDIA GTC23 AI conference, online, March 2023, . Program · PDF · Powerpoint
18. (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 · Program
16. (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.
15. (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, . Program · PDF · Powerpoint
14. (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.
13. (Nov. 2021) "Large-Scale Geospatial Data Science Using ExaGeoStat," KAUST Research Open Week (KROW), November 2021, (2nd best talk award). PDF
12. (Jun. 2021) "ExaGeoStat: Exploiting Data Sparsity/Mixed-Precision in Earth System Models," Intelligent illumination of the Earth KAUST workshop, June 2021, (Best talk award).
11. (Apr. 2021) "Mixed-Precision Machine Learning Method for Environmental Applications on GPUs," NVIDIA GTC21 AI conference, online, April 2021, . Program · PDF · Overleaf
10. (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.
9. (Oct. 2020) "ExaGeoStat: Moving Towards Large-Scale Geostatistical Modeling on Manycore Systems," KAUST CEMSE Division Graduate Seminar at KAUST, Saudi Arabia, October 2020. Program
8. (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
7. (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.
6. (Jan. 2019) "Exascale Geostatistics Software for the Prediction of Spatial Data in Large-Scale Simulations using Machine Learning," Brookhaven National Laboratory, January 2019.
5. (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, . Program
4. (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. Program
3. (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, . Program
2. (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
1. (Apr. 2018) "ExaGeoStat: A High-Performance Unified Framework for Geostatistics on Manycore System," KAUST-NVIDIA Workshop, KAUST, Thuwal, Saudi Arabia, April 2018.
The following presentations were delivered by collaborators. I contributed as a co-author.
August 2022, JSM, Washington, DC: Sagnik Mondal and collaborators, Parallel Approximations of the Tukey g-and-h Likelihoods and Predictions for Non-Gaussian Geostatistics.
August 2022, JSM, Washington, DC: Mary Salvana and collaborators, Parallel Likelihood Function Optimization to Accelerate Air Pollution Prediction on Large-Scale Systems.
August 2022, JSM, Washington, DC: Pratik Nag and collaborators, Efficient Large-Scale Nonstationary Spatial Covariance Function Estimation Using Convolutional Neural Networks.
August 2022, JSM, Washington, DC: Faten S. Alamri and collaborators, A Benchmarking Suite for Geostatistical Modeling and Kriging Tools.
August 2023, JSM, Ontario: Minwoo Kim and collaborators, MMPR: An R Package for Multi- and Mixed-Precision Computational Statistics.
August 2023, JSM, Ontario: Sihan Chen and collaborators, On the Impact of Spatial Covariance Matrix Ordering on Low-Rank Estimation of Statistical Parameters.
August 2023, JSM, Ontario: Xiran Zhang and collaborators, Parallel Low-Rank Approximation of High-Dimensional Multivariate Normal Probabilities.
August 2024, JSM, Portland: Xiran Zhang and collaborators, RCOMPSs: A Task-based Parallel Programming Model for R.
August 2024, JSM, Portland: Mary Salvana and collaborators, MPCR: An R Package for Multi- and Mixed-Precision Computational Statistics.
August 2024, JSM, Portland: Qilong Pan and collaborators, Parallel Vecchia Approximations of Gaussian Processes for Fast Geostatistical Modeling and Predictions on Modern GPUs.
August 2025, JSM, Nashville: Jianwei Shi and collaborators, Decentralized Inference for Spatial Data Using Low-Rank Models.
For teaching and school activities, see Short Courses.
Last updated: October 2026.