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  2. rCUDA - Wikipedia

    en.wikipedia.org/wiki/RCUDA

    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.

  3. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    In computing, CUDA (Compute Unified Device Architecture) 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.

  4. List of application servers - Wikipedia

    en.wikipedia.org/wiki/List_of_application_servers

    Enduro/X ASG – Application server for Go.This provides XATMI and XA facilities for Golang. Go application can be built by normal Go executable files which in turn provides stateless services, which can be load balanced, clustered and reloaded on the fly without service interruption by means of administrative work only.

  5. WebGPU - Wikipedia

    en.wikipedia.org/wiki/WebGPU

    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.

  6. Application service provider - Wikipedia

    en.wikipedia.org/wiki/Application_service_provider

    An application service provider (ASP) is a business providing application software generally through the Web. [1] ASPs that specialize in a particular application (such as a medical billing program) may be referred to as providing software as a service .

  7. Nvidia CUDA Compiler - Wikipedia

    en.wikipedia.org/wiki/Nvidia_CUDA_Compiler

    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.

  8. Parallel Thread Execution - Wikipedia

    en.wikipedia.org/wiki/Parallel_Thread_Execution

    The Nvidia CUDA Compiler (NVCC) translates code written in CUDA, a C++-like language, into PTX instructions (an IL), and the graphics driver contains a compiler which translates PTX instructions into executable binary code, [2] which can run on the processing cores of Nvidia graphics processing units (GPUs).

  9. Application service automation - Wikipedia

    en.wikipedia.org/wiki/Application_service_automation

    Application service automation is the field where the operations needed to deploy and service data center applications are automated in order to centrally and accurately control application change. With application service automation operations teams can transform manual, error-prone application service tasks into reliable, repeatable and ...