A global weather prediction model built by KAUST researchers has been nominated for the Gordon Bell Prize for outstanding achievements in high-performance computing.
We explore the possibilities of a hybrid system capable of solving both HPC and AI scientific problems. Such a hybrid architecture combines the synergism between classical HPC platforms and dedicated AI chip systems, which is important due to the computational challenges brought to the fore by massively parallel Exascale systems.
Come and share your experiences with the state-of-the-art of mixed-precision techniques! By wisely trading off accuracy, we can mitigate data movement overheads and increase performance of applications, including real-time adaptive optics simulations on ground-based telescopes and genome-wide association study for agricultural genomics.
Designing Tomorrow's Algorithms on Today's Architectures: a Case Study with Stencil Computations Using AMD 3D V-Cache™ Technology
Regular stencil computations constitute the main core kernel in many temporally explicit approaches for structured grid finite-difference, finite-volume, and finite-element discretizations of partial differential equation conservation laws.
The April 2021 Communications of the ACM special section on computing in the Arab world features an article by ECRC Director and KAUST founding dean David Keyes on preparing the exascale workforce.
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.
H2Opus: a Performance-Oriented Library for Hierarchical Matrices
Download at https://github.com/ecrc/h2opus.