QRC has developed Qibo, a Python library enabling classical simulation of quantum algorithms with double precision. Qibo leverages hardware accelerators like GPUs and CPUs with multi-threading. It incorporates a multi-GPU distributed approach for circuit simulation. Why it matters: This framework allows researchers and developers in the region to explore and prototype quantum algorithms using existing classical computing infrastructure, fostering innovation in quantum computing research and applications.
KAUST Ph.D. graduate Tariq Alturkestani won the best paper award at Euro-Par 2020 for his doctoral thesis on overlapping I/O and compute in large-scale scientific computation using multilayered buffering mechanisms. His work re-evaluates the Reverse Time Migration (RTM) method used by geoscientists for oil and gas explorations, utilizing emerging storage technologies. The paper was co-authored with Professor David Keyes and Dr. Hatem Ltaief from the KAUST Extreme Computing Research Center (ECRC). Why it matters: This award highlights KAUST's growing prominence as a hub for Saudi talent and research in supercomputing and extreme computing, particularly in applications relevant to the region's energy sector.
MBZUAI President Eric Xing led a global collaboration to develop Vicuna, an LLM alternative to GPT-3 addressing the unsustainable costs of training LLMs. OpenAI CEO Sam Altman acknowledged Abu Dhabi's role in the global AI conversation, building off of achievements like Vicuna. Xing and colleagues are publishing research at MLSys 2023 on "cross-mesh resharding" to improve computer communication in deep learning, aiming for low-carbon, affordable, and miniaturized AI. Why it matters: This research signals a push towards sustainable AI development in the region, emphasizing efficiency and reduced environmental impact.