About Dalal Sukkari Dalal Sukkari Ph.D., Applied Mathematics and Computational Science polar decomposition svd dense linear algebra High Performance Computing symmetric eigenvalue problem Research interests and present research project. Dalal's research centers on a new high performance implementation of the QR-based Dynamically Weighted Halley iterations (QDWH) to compute the polar decomposition and its application to the SVD (QDWH-SVD). She has introduced a high performance QDWH-SVD implementation on multicore architecture enhanced with multiple GPUs, and on distributed memory based on the state-of-the-art vendor-optimized numerical library ScaLAPACK, and has presented the first asynchronous, task-based formulation of the polar decomposition QDWH and its corresponding Articles Related News February 2021 ECRC contributions to SIAM CSE21 4 min read · Sat, Feb 27 2021 News research conference HPC computational science and engineering ECRC @ SIAM CSE21! Follow us @KAUST_ECRC As in previous SIAM conferences on Parallel Processing (PP) and Computational Science and Engineering (CSE), ECRC members and their collaborators will have a strong presence at SIAM CSE21, nominally in Fort Worth, Texas, but held virtually due to the pandemic. ************************************************** SIAM CSE21 will run virtually with live sessions. ************************************************** Registration to SIAM CSE is required to gain access to the online platform and attend live sessions. Once registered, please use your personal August 2018 Award-winning algorithm aids observation 1 min read · Mon, Aug 27 2018 News astronomy telescope extreme computing Researchers at the Extreme Computing Research Center (ECRC) at KAUST have developed a new algorithm that uses supervised machine learning to control a small high-speed deformable mirror inside the exoplanet imaging camera to compensate for atmospheric turbulence in the Subaru Telescope, which has an 8.2 meter diameter.
ECRC contributions to SIAM CSE21 4 min read · Sat, Feb 27 2021 News research conference HPC computational science and engineering ECRC @ SIAM CSE21! Follow us @KAUST_ECRC As in previous SIAM conferences on Parallel Processing (PP) and Computational Science and Engineering (CSE), ECRC members and their collaborators will have a strong presence at SIAM CSE21, nominally in Fort Worth, Texas, but held virtually due to the pandemic. ************************************************** SIAM CSE21 will run virtually with live sessions. ************************************************** Registration to SIAM CSE is required to gain access to the online platform and attend live sessions. Once registered, please use your personal
Award-winning algorithm aids observation 1 min read · Mon, Aug 27 2018 News astronomy telescope extreme computing Researchers at the Extreme Computing Research Center (ECRC) at KAUST have developed a new algorithm that uses supervised machine learning to control a small high-speed deformable mirror inside the exoplanet imaging camera to compensate for atmospheric turbulence in the Subaru Telescope, which has an 8.2 meter diameter.
Engage ORCID ShareClipboard Related Sites Hierarchical Computations on Manycore Architectures (HiCMA) Applied Mathematics and Computational Science (AMCS) Related Content Articles 2 Events 1 Related Links Also view Publications in the KAUST Repository. Polar project on Github
