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CUDA provides both a low level API (CUDA Driver API, non single-source) and a higher level API (CUDA Runtime API, single-source). The initial CUDA SDK was made public on 15 February 2007, for Microsoft Windows and Linux. Mac OS X support was later added in version 2.0, [18] which supersedes the beta released February 14, 2008. [19]
Writing kernels in PTX requires explicitly registering PTX modules via the CUDA Driver API, typically more cumbersome than using the CUDA Runtime API and Nvidia's CUDA compiler, nvcc. The GPU Ocelot project provided an API to register PTX modules alongside CUDA Runtime API kernel invocations, though the GPU Ocelot is no longer actively maintained.
In fact, Intel released a tool called SYCLOMATIC that automatically translated code from CUDA to SYCL. [41] However, there is a less known non-single-source version of CUDA, which is called "CUDA Driver API," similar to OpenCL, and used, for example, by the CUDA Runtime API implementation itself. [38]
CUDA code runs on both the central processing unit (CPU) and graphics processing unit (GPU). NVCC separates these two parts and sends host code (the part of code which will be run on the CPU) to a C compiler like GNU Compiler Collection (GCC) or Intel C++ Compiler (ICC) or Microsoft Visual C++ Compiler, and sends the device code (the part which will run on the GPU) to the GPU.
It is, however, possible to use Intel's VA-API drivers by way of libvdpau-va-gl. Nvidia hopes other GPU designers will make their products compatible with the open source VDPAU library and provide drivers with VDPAU acceleration by mentioning example names of hardware specific drivers for Intel and ATI: libvdpau_intel.so and libvdpau_ati.so ...
rCUDA, which stands for Remote CUDA, is a type of middleware software framework for remote GPU virtualization. Fully compatible with the CUDA application programming interface ( API ), it allows the allocation of one or more CUDA-enabled GPUs to a single application.
A free and open-source graphics device driver is a software stack which controls ... a rendering API, and software ... binaries in the driver and the CUDA toolkit." ...
The DirectCompute architecture shares a range of computational interfaces with its competitors: OpenCL from Khronos Group, compute shaders in OpenGL, and CUDA from NVIDIA. The DirectCompute API brings enhanced multi-threading capabilities to leverage the emerging advanced compute resources. [2]