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WSL 1 (released August 2, 2016), acted as a compatibility layer for running Linux binary executables (in ELF format) by implementing Linux system calls in the Windows kernel. [4] WSL 2 (announced May 2019 [5]), introduced a real Linux kernel – a managed virtual machine (via Hyper-V technology) that implements the full Linux kernel. As a ...
ROCm [3] is an Advanced Micro Devices (AMD) software stack for graphics processing unit (GPU) programming. ROCm spans several domains: general-purpose computing on graphics processing units (GPGPU), high performance computing (HPC), heterogeneous computing.
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 ...
In computing, CUDA is a proprietary [2] parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units (GPUs) for accelerated general-purpose processing, an approach called general-purpose computing on GPUs.
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 Anniversary Update added Windows Subsystem for Linux (WSL), which allows the installation of a user space environment from a supported Linux distribution that runs natively on Windows. The subsystem translates Linux system calls to those of the Windows NT kernel (only claims full system call compatibility as of WSL 2, included in a later ...
WebGPU enables 3D graphics within an HTML canvas.It also has robust support for general-purpose GPU computations. [3]WebGPU uses its own shading language called WGSL that was designed to be trivially translatable to SPIR-V, until complaints caused redirection into a more traditional design, similar to other shading languages.
An example of vainfo output, showing supported video codecs for VA-API acceleration. The main motivation for VA-API is to enable hardware-accelerated video decode at various entry-points (VLD, IDCT, motion compensation, deblocking [5]) for the prevailing coding standards today (MPEG-2, MPEG-4 ASP/H.263, MPEG-4 AVC/H.264, H.265/HEVC, and VC-1/WMV3).