2020 LLVM Developers’ Meeting: S. Ehrig “Adding CUDA® Support to Cling: JIT Compile to GPUs”
https://llvm.org/devmtg/2020-09/
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Adding CUDA® Support to Cling: JIT Compile to GPUs - Simeon Ehrig
Slides: https://llvm.org/devmtg/2020-09/slide...
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Jupyter Notebooks are omnipresent in the modern scientist's and engineer's toolbox just as CUDA C++ is in accelerated computing. We present the first implementation of a CUDA C++ enabled read-eval-print-loop (REPL) that allows to interactively "script" the popular CUDA C++ runtime syntax in Notebooks. With our novel implementation, based on LLVM, Clang and CERN's C++ interpreter Cling, the modern CUDA C++ developer can work as interactively and productively as (I)Python developers while keeping all the benefits of the vast C++ computing and library ecosystem coupled with first-class performance.
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