Automatic Parallelization Tools for GPUs Sample Clauses

Automatic Parallelization Tools for GPUs. The three tools we survey in this section target NVIDIA GPUs using the CUDA programming model (see Section 3.4.1). Automatic parallelization tools for other GPU architectures are just starting to emerge; it is too early to evaluate them comparatively. The CARP project will use CUDA when targeting NVIDIA devices, but favors OpenCL as a more open, portable programming model. Future WP4 deliverables will refer to the specific changes that have to be addressed when migrating from CUDA to OpenCL. The differences between CUDA and OpenCL are presented in Section 3.4.1. From the point of view of compilation, these differences are small. In contrast, differences among target architectures are of course very important (the ARM MALI architecture is widely different from NVIDIA desktop GPUs, for example). Harnessing these differences is one of the challenges to be tackled in the CARP project.
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