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NVWMI – NVIDIA Enterprise Management Toolkit; GameWorks PhysX – is a multi-platform game physics engine; CUDA 9.0–9.2 comes with these other components: CUTLASS 1.0 – custom linear algebra algorithms, NVIDIA Video Decoder was deprecated in CUDA 9.2; it is now available in NVIDIA Video Codec SDK; CUDA 10 comes with these other components:
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.
The Nvidia CUDA Compiler (NVCC) translates code written in CUDA, a C++-like language, into PTX instructions (an assembly language represented as American Standard Code for Information Interchange text), and the graphics driver contains a compiler which translates PTX instructions into executable binary code, [2] which can run on the processing ...
Nvidia NVDEC (formerly known as NVCUVID [1]) is a feature in its graphics cards that performs video decoding, offloading this compute-intensive task from the CPU. [2] NVDEC is a successor of PureVideo and is available in Kepler and later NVIDIA GPUs. It is accompanied by NVENC for video encoding in Nvidia's Video Codec SDK. [2]
NVIDIA CUDA / OptiX AMD HIP SYCL / Intel DPC++ Apple Metal Texture Streaming (Out-of-Core) V-Ray Yes V-Ray GPU (formerly V-Ray RT) No No No Yes [45] RenderMan Yes No 24 and later [46] No No No ? Arnold Yes No Yes No No No Yes Redshift: No No Yes Redshift for AMD (alpha version) No Yes ? Modo mPath Yes No Yes No No No ? Houdini Karma Yes No 19 ...
The source code is available in the Nvidia Linux driver downloads on systems that support nvidia-uvm.ko. In May 2022 Nvidia Announced a new initiative and policy to open source its GPU Loadable Kernel Modules with dual GPL/MIT license, but only new models at alpha quality. But said "These changes are for the kernel modules, while the user-mode ...
CUDA is a parallel computing platform and programming model that higher level languages can use to exploit parallelism. In CUDA, the kernel is executed with the aid of threads. The thread is an abstract entity that represents the execution of the kernel. A kernel is a function that compiles to run on a special device. Multi threaded ...
CuPy is an open source library for GPU-accelerated computing with Python programming language, providing support for multi-dimensional arrays, sparse matrices, and a variety of numerical algorithms implemented on top of them. [3]