Research Pages

ExaGeoStat

ExaGeoStat enables statisticians to tackle computationally challenging scientific problems at large-scale, while abstracting the hardware complexity, through state-of-the-art high-performance linear algebra software libraries.

Marc Genton Publications

Publications link

Marc Genton Talks

Genton, M. G. (2023), "Exascale Geostatistics for Environmental Data Science," Workshop, Lancaster, UK. Genton, M. G. (2023), "Learn from my mistakes: career advice from highly successful statisticians," Lancaster University, Lancaster, UK. Genton, M. G. (2023), "Test and Visualization of Covariance Properties for Multivariate Spatio-Temporal Random Fields," Lancaster University, Lancaster, UK. Genton, M. G. (2023), "Learn from my mistakes: career advice from highly successful statisticians," RSS, Harrogate, UK. Genton, M. G. (2023), "Barnett Lecture: Exascale Geostatistics for Environmental

STSDS Servers

Currently, STSDS has two servers with GPU support to experiment and test codes and report results Name FQDN IP Address CPU Model # sockets # cores per socket # threads per core RAM GPU CPU code name Rooster rooster.kaust.edu.sa 10.68.170.148 Intel(R) Xeon(R) Gold 6230 CPU @ 2.10GHz 2 20 1 256 1x Quadro GV100 Cascade Lake Hen hen.kaust.edu.sa 10.67.24.37 Intel(R) Xeon(R) Gold 6230 CPU @ 2.10GHz 2 20 1 256 1x Quadro GV100 Cascade Lake In case of facing any problems, please email sameh.abdulah@kaust.edu.sa.