%0 Journal Article %A Ojika, David %A Lam, Herman %A Gordon-Ross, Ann %A Patel, Bhavesh %D 2018 %T SCAIGATE: Science Gateway for Scientific Computing with Artificial Intelligence and Reconfigurable Architectures %U https://figshare.com/articles/journal_contribution/SCAIGATE_Science_Gateway_for_Scientific_Computing_with_Artificial_Intelligence_and_Reconfigurable_Architectures/7087382 %R 10.6084/m9.figshare.7087382.v1 %2 https://ndownloader.figshare.com/files/13033157 %K Gateways 2018 %K Science Gateways %K FPGA %K AI %K workflow integration %K workflow systems %K Big Data technologies %K Artificial intelligence %K cloud %K datacenter %K collaborations %K analytics %K data analysis %K Artificial Intelligence and Image Processing not elsewhere classified %K Artificial Intelligence and Image Processing %K Computer Software %K Computer System Architecture %K Distributed Computing %K Distributed Computing not elsewhere classified %K Distributed and Grid Systems %K Information Systems %K Natural Language Processing %K Open Software %K Operating Systems %K Simulation and Modelling %X 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.
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