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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.
HIP, [91] CUDA-to-portable C++ compiler; LAMMPS [92] MDT (Microstructure Diffusion Toolbox): MRI analysis in Python and OpenCL [93] MOT (Multi-threaded Optimization Toolbox): OpenCL accelerated non-linear optimization and MCMC sampling [94] OCCA; Octopus [95] OpenMM: Part of Omnia Suite, biomolecular simulations [96] [97] PARALUTION [98]
C/C++ programmers can use 'CUDA C/C++', compiled to PTX with nvcc, Nvidia's LLVM-based C/C++ compiler, or by clang itself. [9] Fortran programmers can use 'CUDA Fortran', compiled with the PGI CUDA Fortran compiler from The Portland Group. [needs update] Python programmers can use the cuNumeric library to accelerate applications on Nvidia GPUs.
The C++ for OpenCL language is not documented in a stand-alone document and it is based on the specification of C++ and OpenCL C. The open source Clang compiler has supported C++ for OpenCL since release 9. [28] C++ for OpenCL has been originally developed as a Clang compiler extension and appeared in the release 9. [29]
The Cg dialect has only ever had one compiler, in the form of Nvidia's Cg toolkit. Microsoft has released two compilers for HLSL. The original compiler was the closed-source FXC (Effect Compiler), supported until 2015. It was deprecated in favor of the open-source LLVM-based DXC (DirectXShaderCompiler) with support for newer HLSL features. [21]
ROSE: an open source compiler framework to generate source-to-source analyzers and translators for C/C++ and Fortran, developed at Lawrence Livermore National Laboratory MILEPOST GCC : interactive plugin-based open-source research compiler that combines the strength of GCC and the flexibility of the common Interactive Compilation Interface that ...
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.
C++ Accelerated Massive Parallelism (C++ AMP) is a native programming model that contains elements that span the C++ programming language and its runtime library. It provides an easy way to write programs that compile and execute on data-parallel hardware, such as graphics cards ( GPUs ).