SCAIGATE: Science Gateway for Scientific Computing with Artificial Intelligence and Reconfigurable Architectures

SCAIGATE is an ambitious project to design the first artificial intelligence (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 an unprecedented scale, all while simplifying ease-of-use in science domains that were previously AI-lagging. SCAIGATE was an incubation project at the Science Gateway Community Institute (SGCI) boot camp held in Austin, Texas in 2018.