CUDA Ontology

1. cuda-api-wrappers

   1 16 865 7.3 C++

   Thin C++-flavored header-only wrappers for core CUDA APIs: Runtime, Driver, NVRTC, NVTX.

   

   > CUDA Runtime: The runtime library (libcudart) that applications link against.

   That library is actually a rather poor idea. If you're writing a CUDA application, I strongly recommend avoiding the "runtime API". It provides partial access to the actual CUDA driver and its API, which is 'simpler' in the sense that you don't explicitly create "contexts", but:

   * It hides or limits a lot of the functionality.

   * Its actual behavior vis-a-vis contexts is not at all simple and is likely to make your life more difficult down the road.

   * It's not some clean interface that's much more convenient to use.

   So, either go with the driver, or consider my CUDA API wrappers library [1], which _does_ offer a clean, unified, modern (well, C++11'ish) RAII/CADRe interface. And it covers much more than the runtime API, to boot: JIT compilation of CUDA (nvrtc) and PTX (nvptx_compiler), profiling (nvtx), etc.

   [1] : https://github.com/eyalroz/cuda-api-wrappers/

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