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Introduction to GPU Programming in Chapel
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Chapel’s parallel-first design allows users to seamlessly use GPUs in a vendor-neutral way. In this demo, we:
* quickly recap how Chapel arrays are created/processsed
* demonstrate how these operations can be done on the GPU via ‘on’ statements and remote variable declarations
* introduce the ‘locale’ concept and ‘config’ variables for GPU/CPU portability
* discuss GPU-based reductions and ‘Math’ module operations in GPU kernels
* quickly recap how Chapel arrays are created/processsed
* demonstrate how these operations can be done on the GPU via ‘on’ statements and remote variable declarations
* introduce the ‘locale’ concept and ‘config’ variables for GPU/CPU portability
* discuss GPU-based reductions and ‘Math’ module operations in GPU kernels
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