About Hatem Ltaief Hatem Ltaief Principal Research Scientist, Applied Mathematics and Computational Science High Performance Computing parallel numerical algorithms Performance optimization Dr. Hatem Ltaief is a Principal Research Scientist at KAUST. He works on mixed-precision algorithms and performance optimizations to help HPC scientific applications address the exascale challenges. His innovations have been recognized with the ACM Gordon Bell Prize (shared) for Climate Modeling in 2024. Events Presented Events Nov 14 - Nov 20, 2021 Heterogeneity in Hardware: Opportunities and Challenges for Software and Applications (SC21 Panel) Hatem Ltaief, Principal Research Scientist, Applied Mathematics and Computational Science Nov 14, 00:05 - Nov 19, 23:55 SC21 Saint Louis MO USA HPC numerical linear algebra parallel numerical algorithms Parallel and Distributed Computing GPU Computing Mixed Precisions Heterogeneity in Hardware: Opportunities and Challenges for Software and Applications SC21 Panel Time: Tuesday, 16 November 2021, 10:30am - 12pm CST Location: 225-226 (America's Center, St. Louis, MO USA) Abstract With the end of Moore’s Law, the community has witnessed new hardware trends to increase performance. Today, it is not only the traditional x86 and accelerators that are part of computing systems, but also ARM, FPGAs and dedicated processors for DL workloads that equip now pioneering HPC systems. By the end of this decade, we are moving towards an era of extreme scale with “extreme Jun 27 - Jul 3, 2021 ISC21 Workshop: Numerical Algorithms and Libraries for Exascale (NAL-X) Hatem Ltaief, Principal Research Scientist, Applied Mathematics and Computational Science Jul 2, 14:00 - 18:00 ISC21 KAUST Frankfurt Germany Time CET HPC numerical linear algebra parallel numerical algorithms Parallel and Distributed Computing GPU Computing Mixed Precisions Abstract With the hardware technology scaling and the trend on heterogeneous chip design, the existing numerical algorithms and software framework may break down due to load imbalance. There is currently a fundamental mismatch between the underlying hardware architecture with high thread concurrency and the software deployment of numerical libraries, which relies on the traditional bulk synchronous programming model. Numerical software should first squeeze performance out of single node by efficiently running on manycore architectures with processor counts sharing a common memory in the Feb 28 - Mar 6, 2021 SIAM CSE21 (VIRTUAL) - Minisymposium on HPC Response to the COVID19 Pandemic Hatem Ltaief, Principal Research Scientist, Applied Mathematics and Computational Science Mar 1, 09:00 - 18:00 KAUST HPC ML COVID-19 artificial intelligence Abstract This minisymposium brings together experts in numerical simulation that have developed HPC software tools toward a better understanding coronavirus and the global COVID19 pandemic. Their recent results highlight the importance of computational science as a guiding tool that helps in uncovering the structure and mechanics of the viral spread as well as drastically reduces the number of candidate treatments that need laborious laboratory testing. From transformative medical advances to drug discovery driven by massively parallel supercomputing, this minisymposium will span a range of
Heterogeneity in Hardware: Opportunities and Challenges for Software and Applications (SC21 Panel) Hatem Ltaief, Principal Research Scientist, Applied Mathematics and Computational Science Nov 14, 00:05 - Nov 19, 23:55 SC21 Saint Louis MO USA HPC numerical linear algebra parallel numerical algorithms Parallel and Distributed Computing GPU Computing Mixed Precisions Heterogeneity in Hardware: Opportunities and Challenges for Software and Applications SC21 Panel Time: Tuesday, 16 November 2021, 10:30am - 12pm CST Location: 225-226 (America's Center, St. Louis, MO USA) Abstract With the end of Moore’s Law, the community has witnessed new hardware trends to increase performance. Today, it is not only the traditional x86 and accelerators that are part of computing systems, but also ARM, FPGAs and dedicated processors for DL workloads that equip now pioneering HPC systems. By the end of this decade, we are moving towards an era of extreme scale with “extreme
ISC21 Workshop: Numerical Algorithms and Libraries for Exascale (NAL-X) Hatem Ltaief, Principal Research Scientist, Applied Mathematics and Computational Science Jul 2, 14:00 - 18:00 ISC21 KAUST Frankfurt Germany Time CET HPC numerical linear algebra parallel numerical algorithms Parallel and Distributed Computing GPU Computing Mixed Precisions Abstract With the hardware technology scaling and the trend on heterogeneous chip design, the existing numerical algorithms and software framework may break down due to load imbalance. There is currently a fundamental mismatch between the underlying hardware architecture with high thread concurrency and the software deployment of numerical libraries, which relies on the traditional bulk synchronous programming model. Numerical software should first squeeze performance out of single node by efficiently running on manycore architectures with processor counts sharing a common memory in the
SIAM CSE21 (VIRTUAL) - Minisymposium on HPC Response to the COVID19 Pandemic Hatem Ltaief, Principal Research Scientist, Applied Mathematics and Computational Science Mar 1, 09:00 - 18:00 KAUST HPC ML COVID-19 artificial intelligence Abstract This minisymposium brings together experts in numerical simulation that have developed HPC software tools toward a better understanding coronavirus and the global COVID19 pandemic. Their recent results highlight the importance of computational science as a guiding tool that helps in uncovering the structure and mechanics of the viral spread as well as drastically reduces the number of candidate treatments that need laborious laboratory testing. From transformative medical advances to drug discovery driven by massively parallel supercomputing, this minisymposium will span a range of
Engage ORCID ShareClipboard Related Sites Applied Mathematics and Computational Science (AMCS) Hierarchical Computations on Manycore Architectures (HiCMA) Flow Simulation at the Exascale (Exaflow) Computer Science (CS) Related Content Articles 22 Events 3
