The KAUST Supercomputing Core Lab (KSL) and the National Center of Meteorology (NCM) have been collaborating since 2016 to enhance weather forecasting capabilities in Saudi Arabia. KSL provides consultation, data storage, and computing time on the Shaheen II supercomputer to NCM. This collaboration has led to a significant increase in NCM's HPC facility computing capacity, from 10 to 380 TFLOPS, with ongoing work to reach 1.8 PFLOPS. Why it matters: This partnership strengthens Saudi Arabia's ability to provide accurate and timely weather forecasts, crucial for public safety, aviation, and national security, demonstrating the importance of HPC in addressing critical environmental challenges.
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 is focused on optimizing scientific research through IT, including high-performance computing and supercomputing. KAUST's CIO, Jason Roos, emphasizes that IT at KAUST prioritizes research support, drawing from his experience in mission-critical IT in healthcare. KAUST houses Shaheen II, the fastest supercomputer in the Middle East, managed with state-of-the-art facilities. Why it matters: This focus enhances KAUST's research capabilities, providing resources on par with national labs and attracting top talent in science and technology to the region.
This article discusses KAUST's efforts to build a high-performance computing (HPC) ecosystem. It mentions Jysoo Lee, director of the KAUST Supercomputing Core Lab, and Robert G. Voigt from the Krell Institute, both speakers at the HPC Saudi event held at KAUST. The article also acknowledges King Abdullah's role in establishing KAUST. Why it matters: HPC is crucial for advancing AI research and development in the region, and KAUST is playing a key role in fostering this ecosystem.
A Duke University professor presented a data-centric approach to optimizing AI systems by addressing the memory capacity and bandwidth bottleneck. The presentation covered collaborative optimization across algorithms, systems, architecture, and circuit layers. It also explored compute-in-memory as a solution for integrating computation and memory. Why it matters: Optimizing AI systems through a data-centric approach can improve efficiency and performance, critical for advancing AI applications in the region.
KAUST startup UnitX, founded by KAUST alumni Kiran Narayanan and Professor Ravi Samtaney, offers on-demand supercomputing services via a cloud-like platform. UnitX aims to democratize access to supercomputing for industries like finance, government, and manufacturing, enabling data-driven decisions and faster product design. The global market for supercomputing as a service is estimated at $224 billion with 25% year-on-year growth. Why it matters: This initiative could significantly boost AI and simulation capabilities for regional enterprises by providing access to advanced computing resources without the prohibitive costs of owning and operating supercomputers.
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.