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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:
NVCC is based on LLVM. [1] According to Nvidia provided documentation, nvcc in version 7.0 supports many language constructs that are defined by the C++11 standard, and a few from C99. In version 9.0, several more constructs from the C++14 standard are added. [2] Any source file containing CUDA language extensions (.cu) must be compiled with nvcc.
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 ...
CuPy supports Nvidia CUDA GPU platform, and AMD ROCm GPU platform starting in v9.0. [ 4 ] [ 5 ] CuPy has been initially developed as a backend of Chainer deep learning framework, and later established as an independent project in 2017.
Nvidia OptiX (OptiX Application Acceleration Engine) is a ray tracing API that was first developed around 2009. [1] The computations are offloaded to the GPUs through either the low-level or the high-level API introduced with CUDA. CUDA is only available for Nvidia's graphics products. Nvidia OptiX is part of Nvidia GameWorks. OptiX is a high ...
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]
It is supported by Nvidia including graphics accelerators drivers, network software stack, and the necessary tools for maintenance and diagnostics. The package also includes proprietary software from Nvidia CUDA Toolkit, cuDNN, NCCL, and Docker Engine Utility for GPU Nvidia (the entire main machine learning stack runs in containers).
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 ...