KAUST's Technology Transfer and Innovation (TTI) department has facilitated the release of KUBE, an open-source benchmarking framework developed by Craig Kapfer and his team. KUBE allows users to analyze the performance of software applications and high-performance computing (HPC) systems over time, using user-defined metrics. The software integrates with batch scheduling tools and provides historical time reporting and visualization capabilities. Why it matters: This release provides a valuable tool for optimizing applications and systems, potentially enhancing research and development in computational labs and computing centers in Saudi Arabia and beyond.
KAUST's Visualization Core Lab (KVL) has released inshimtu, a pseudo in situ visualization system for scientists working with large datasets and supercomputer simulations. Inshimtu simplifies the implementation of in situ visualization by using existing simulation output files without requiring changes to the simulation code. It helps scientists determine if implementing a full in situ visualization into their code is worthwhile. Why it matters: This open-source tool can improve the efficiency of supercomputing research in the region by allowing researchers to assess the value of in situ visualization before fully committing to it.
KAUST is joining universities worldwide to expedite licensing for COVID-19 related technologies. KAUST researchers are focusing on developing rapid diagnostic platforms, genomic analyses, and tools to track the virus's spread, collaborating with Saudi healthcare stakeholders. By signing the AUTM COVID-19 Licensing Guidelines and adopting the COVID-19 Technology Development Framework, KAUST will offer royalty-free, time-limited, non-exclusive licenses during and after the pandemic. Why it matters: This initiative facilitates quicker development and broader access to essential technologies for combating COVID-19 in Saudi Arabia and the Middle East.
Baker Hughes has donated JewelSuite™ reservoir modeling software to KAUST to enhance teaching, learning, and research. The software simplifies modeling and streamlines the building of accurate 3-D reservoir models. It will enable students and faculty to gain a clearer picture of the subsurface and predict oil or gas deposits. Why it matters: This donation will help KAUST train future leaders in the petroleum engineering industry and advance research in reservoir modeling.
RDI and KAUST have launched a Technology Transfer Program to accelerate commercialization activities in Saudi universities. The Technology Transfer Internship Program aims to upskill leaders from research institutions across Saudi Arabia in technology commercialization. KAUST was selected by RDI due to its innovation ecosystem, including 1,448 patent families and 287 technology licenses. Why it matters: This partnership will help to translate Saudi research into commercial products, strengthening the country’s capacity for innovation and aligning with national goals for a knowledge-based economy.