A professor from EPFL (Lausanne) gave a talk at MBZUAI on computing in the post-Moore era, highlighting the slowing of Moore's Law due to physical limits in transistor miniaturization. He discussed research challenges and opportunities for future computing technologies. He presented examples of post-Moore technologies he helped develop in the datacenter space. Why it matters: As Moore's Law slows, research into alternative computing paradigms becomes critical for the continued advancement of AI and digital services in the UAE and globally.
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.
KAUST Professor David Keyes will chair the International Supercomputing Conference (ISC) 2020 in Frankfurt, Germany. Keyes is the director of KAUST's Extreme Computing Research Center and will be the first program chair from a Middle Eastern institution. The conference will address high performance computing (HPC) topics including processing, storage, algorithms, and the convergence of simulation, machine learning, and big data. Why it matters: This highlights KAUST's leadership in HPC within the Middle East, as the university is home to Shaheen II, the region's most powerful supercomputer.
G42 and Cerebras, in partnership with MBZUAI and C-DAC, will deploy an 8 exaflop AI supercomputer in India. The system will operate under India's governance frameworks, with all data remaining within national jurisdiction to meet sovereign security and compliance requirements. The supercomputer will be accessible to Indian researchers, startups, and government entities under the India AI Mission.
KAUST attended the SC22 high-performance computing conference with a team of 20 supercomputing experts. KAUST highlighted that HPE will build Shaheen III, KAUST's next-generation supercomputer, which will be the most powerful in the Middle East. A KAUST team was also a finalist for the 2022 Gordon Bell Prize. Why it matters: KAUST's presence at SC22 underscores its growing influence and leadership in high-performance computing within the Middle East and globally.
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.
This is an advertisement for KAUST Discovery, seemingly related to High Performance Computing (HPC). It mentions King Abdullah bin Abdulaziz Al Saud. Why it matters: The ad suggests KAUST is investing in HPC, which is a critical infrastructure component for AI research and development.
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.