SCAIGATE is an ambitious project to design the first AI-centric science gateway based on field-programmable gate arrays (FPGAs). The goal is to democratize access to FPGAs and AI in scientific computing and related applications. When completed, the project will enable the large-scale deployment and use of machine learning models on AI-centric FPGA platforms, allowing increased performance-efficiency, reduced development effort, and customization at unprecedented scale, all while simplifying ease-of-use in science domains which were previously AI-lagging. SCAIGATE was an incubation project at the Science Gateway Community Institute (SGCI) bootcamp held in Austin, Texas in 2018.
Authors: David Ojika, Herman Lam, Bhavesh Patel and Ann Gordon-Ross
