KAUST's Extreme Computing Research Center (ECRC) developed Multiple Object Adaptive Optics (MOAO) software. The software will contribute to the activities of the world's largest future optical telescope to be deployed in Chile in 2024. MOAO will eliminate atmospheric noise and enable simultaneous observation of multiple objects at different distances. Why it matters: This contribution highlights KAUST's role in cutting-edge astronomical research and positions the Middle East as a key player in advancing observational astronomy.
KAUST researchers collaborated with the Paris Observatory and the National Astronomical Observatory of Japan (NAOJ) to develop advanced Extreme-AO algorithms for habitable exoplanet imaging. The new algorithms, powered by KAUST's linear algebra code running on NVIDIA GPUs, optimize and anticipate atmospheric disturbances. The implemented Singular Value Decomposition (SVD) algorithm won an award at the PASC Conference 2018 and is used at the Subaru Telescope in Hawaii. Why it matters: This advancement enhances the ability to image exoplanets, potentially leading to breakthroughs in the search for habitable planets using ground-based telescopes.
KAUST's Extreme Computing Research Center Director David Keyes will chair the technical program of the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC18) in Dallas. Approximately 420 professional volunteers and 160 student volunteers are engaged in the technical program. During SC17, KAUST’s supercomputer Shaheen II was recognized as the fastest in the Middle East, and it is expected to retain this title at SC18. Why it matters: KAUST's leadership role highlights the university's growing influence in global supercomputing and positions the Kingdom as a key player in HPC research and development.
KAUST researchers developed a machine learning algorithm to control a deformable mirror within the Subaru Telescope's exoplanet imaging camera, compensating for atmospheric turbulence. The algorithm, which computes a partial singular value decomposition (SVD), outperforms a standard SVD by a factor of four. The KAUST team received a best paper award at the PASC Conference for this work, which has already been deployed at the Subaru Telescope. Why it matters: This advancement enables sharper images of exoplanets, facilitating their identification and study, and showcases the impact of optimizing core linear algebra algorithms.
KAUST participated in SC21, the international supercomputing conference in St. Louis, Missouri, marking their 13th year of attendance. KAUST highlighted its commitment to being a supercomputing presence in the Arab world and its role in propelling research across scientific disciplines. KAUST graduates are contributing talent across the Middle East, and KAUST Computational Scientist Bilel Hadri will chair the reproducibility initiative at SC22. Why it matters: KAUST's involvement in SC21 underscores the growing importance of HPC in the Middle East and its contribution to building a knowledge-based economy.