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  2. 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.

  3. Parallel Thread Execution - Wikipedia

    en.wikipedia.org/wiki/Parallel_Thread_Execution

    Parallel Thread Execution (PTX or NVPTX [1]) is a low-level parallel thread execution virtual machine and instruction set architecture used in Nvidia's Compute Unified Device Architecture programming environment. The Nvidia CUDA Compiler (NVCC) translates code written in CUDA, a C++-like language, into PTX instructions (an assembly language ...

  4. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    CUDA is designed to work with programming languages such as C, C++, Fortran and Python. This accessibility makes it easier for specialists in parallel programming to use GPU resources, in contrast to prior APIs like Direct3D and OpenGL , which require advanced skills in graphics programming. [ 6 ]

  5. OpenACC - Wikipedia

    en.wikipedia.org/wiki/OpenACC

    The standard is designed to simplify parallel programming of heterogeneous CPU/GPU systems. [ 1 ] As in OpenMP , the programmer can annotate C , C++ and Fortran source code to identify the areas that should be accelerated using compiler directives and additional functions. [ 2 ]

  6. OpenCL - Wikipedia

    en.wikipedia.org/wiki/OpenCL

    OpenCL (Open Computing Language) is a framework for writing programs that execute across heterogeneous platforms consisting of central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), field-programmable gate arrays (FPGAs) and other processors or hardware accelerators.

  7. General-purpose computing on graphics processing units

    en.wikipedia.org/wiki/General-purpose_computing...

    This cumbersome translation was obviated by the advent of general-purpose programming languages and APIs such as Sh/RapidMind, Brook and Accelerator. [ 9 ] [ 10 ] [ 11 ] These were followed by Nvidia's CUDA , which allowed programmers to ignore the underlying graphical concepts in favor of more common high-performance computing concepts. [ 12 ]

  8. Village People front man says ‘YMCA’ isn’t a gay ... - AOL

    www.aol.com/village-people-front-man-says...

    The Village People’s lyricist and lead singer has hit out at the “false assumption” that the band’s biggest hit, “YMCA,” is a “gay anthem.”

  9. Thread block (CUDA programming) - Wikipedia

    en.wikipedia.org/.../Thread_block_(CUDA_programming)

    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 ...