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Explore vendor-neutral GPU programming using Chapel in this informative conference talk by Jade Abraham from HPE. Discover how Chapel, an open-source parallel programming language, enables portable and performant software development for both CPUs and GPUs using a unified set of language features. Learn about Chapel's capabilities in supporting parallel computing across various hardware configurations, from multicore laptops to distributed supercomputers. Gain insights into user experiences with GPU-enabled programming in Chapel and understand how to write vendor-neutral GPU programs. The talk concludes with information on getting involved in Chapel's open-source development and future plans for the language.
