KAUST has unveiled Shaheen III, the most powerful supercomputer in the Middle East and 18th globally, built by HPE. The system uses 2,800 NVIDIA GH200 Grace Hopper Superchips, tripling the processing power of its predecessor. Shaheen III will support research in Arabic LLMs, climate modeling, remote sensing, automated chemistry, and AI-driven healthcare. Why it matters: This infrastructure investment strengthens Saudi Arabia's position in AI and computational research, enabling advances tailored to the region's needs and priorities.
KAUST has been awarded the ACM Gordon Bell Prize for Climate Modelling, considered the "Nobel" of high-performance computing, for their work on exascale climate emulators. The winning paper, a collaborative effort with institutions including the NSF National Center for Atmospheric Research, addresses the computational and storage demands of high-resolution earth system models. The KAUST team included Sameh Abdulah, Marc G. Genton, David E. Keyes, and others. Why it matters: This is the first time an institution in the Middle East has won the prize, highlighting KAUST's leadership in high-performance computing and climate research in the region.
KAUST researchers have been selected as finalists for two ACM Gordon Bell Prizes for high-performance computing. One project used NVIDIA GPUs to enhance genetic studies from the UK Biobank, achieving 133x speedup over existing software. The other developed an exascale climate emulator with higher spatial-temporal resolution than current models, demonstrated on supercomputers like Shaheen III. Why it matters: The recognition highlights KAUST's strength in high-performance computing research and its contributions to both genetic analysis and climate modeling.
KAUST and Cerebras Systems collaborated on multi-dimensional seismic processing using the Condor Galaxy AI supercomputer, achieving record sustained memory bandwidth of 92.58 petabytes per second. They developed a Tile Low-Rank Matrix-Vector Multiplication (TLR-MVM) kernel to exploit the architecture of Cerebras CS-2 systems. This work was recognized as a finalist for the 2023 Gordon Bell Prize. Why it matters: This demonstrates the potential of AI-customized architectures for seismic processing, with broader implications for climate modeling and other scientific domains in the region and globally.
KAUST announced the acquisition of a Cray XC40 supercomputer named Shaheen II, which will be 25 times more powerful than its current system. The investment aims to enhance KAUST's research capabilities and support collaborations with in-Kingdom organizations like Saudi Aramco and SABIC. Shaheen II will be used for simulations, climate modeling, and big data applications. Why it matters: This upgrade significantly boosts Saudi Arabia's high-performance computing infrastructure, enabling advanced research and development across various sectors and solidifying KAUST's position as a leading research institution.
The UAE's meteorology chief has stated that artificial intelligence (AI) will play a crucial role in addressing the increasing challenges posed by extreme weather events. This official position highlights the nation's strategic focus on leveraging advanced technologies to enhance its preparedness and response capabilities for climate-related phenomena. The remarks underscore the growing recognition within the UAE government of AI's potential to significantly improve meteorological forecasting and climate modeling. Why it matters: This high-level endorsement signals the UAE's commitment to investing in AI-driven solutions for environmental resilience, potentially fostering innovation and collaborations in the region's climate technology sector.
Saudi Arabia's Minister of Environment, Water and Agriculture inaugurated the Climate Change Center at KAUST. The center will serve as a resource for policymakers, providing climate information and supporting initiatives to mitigate climate change effects. It aligns with Vision 2030 and the Middle East Green Initiative. Why it matters: The center signifies Saudi Arabia's commitment to environmental sustainability and its role in regional and global climate action, potentially fostering AI applications for climate modeling and mitigation.
KAUST Professor Georgiy Stenchikov has received the 2022 Future of Life Award for his research on the climatic consequences of nuclear war. Stenchikov is the principal investigator of the KAUST Atmospheric and Climate Modeling (ATCM) Research Group. The award recognizes his work on "reducing the risk of nuclear war by developing and popularizing the science of nuclear winter." Why it matters: This award highlights the important climate research being conducted at KAUST and its relevance to global challenges.