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Nvidia CUDA Compiler information


Original author(s)Nvidia
Stable release
12.3
TypeCompiler
LicenseProprietary software
Websitedocs.nvidia.com/cuda/cuda-compiler-driver-nvcc/#introduction

Nvidia CUDA Compiler (NVCC) is a proprietary compiler by Nvidia intended for use with CUDA.

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Nvidia CUDA Compiler

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Nvidia CUDA Compiler (NVCC) is a proprietary compiler by Nvidia intended for use with CUDA. CUDA code runs on both the CPU and GPU. NVCC separates these...

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CUDA

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'CUDA C/C++', compiled to PTX with nvcc, Nvidia's LLVM-based C/C++ compiler, or by clang itself. Fortran programmers can use 'CUDA Fortran', compiled with...

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Parallel Thread Execution

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instruction set architecture used in Nvidia's CUDA programming environment. The NVCC compiler translates code written in CUDA, a C++-like language, into PTX...

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ROCm

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AMD Radeon Pro. Nvidia vendors the Clang frontend and its Parallel Thread Execution (PTX) LLVM GPU backend as the Nvidia CUDA Compiler (NVCC). Like ROCm...

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Pragma once

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once will improve compilation speed for some compilers since it is a higher-level mechanism; the compiler itself can compare filenames or inodes without...

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Edison Design Group

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available compilers and code analysis tools. Users include the Intel C++ compiler, Microsoft Visual C++ (IntelliSense), NVIDIA CUDA Compiler, SGI MIPSpro...

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Nvidia GTC

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"NVIDIA Opens up CUDA Compiler". 13 December 2011. "Celebrating the GPU: Seven Take-Aways from Nvidia's GTC 2012". 21 May 2012. "Nvidia announces GeForce...

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The Portland Group

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2020. "PGI and NVIDIA Team To Deliver CUDA Fortran Compiler". The Portland Group, Inc. 23 June 2009. Retrieved 29 June 2011. "PGI CUDA Fortran Now Available...

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SYCL

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without Images or OpenCL interop; partly SYCL 2020. Supports AMD (ROCm), Nvidia (CUDA), Intel (Level Zero via SPIR-V), and CPUs (LLVM + OpenMP). Can produce...

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GeForce 600 series

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With Kepler, Nvidia not only worked on power efficiency but also on area efficiency. Therefore, Nvidia opted to use eight dedicated FP64 CUDA cores in a...

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OpenCL

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Apple, Nvidia, ROCm, RapidMind and Gallium3D implementations of OpenCL are all based on the LLVM Compiler technology and use the Clang compiler as their...

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Clang

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is a compiler front end for the C, C++, Objective-C, and Objective-C++ programming languages, as well as the OpenMP, OpenCL, RenderScript, CUDA, SYCL...

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Graphics processing unit

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own API which only works with their cards: AMD APP SDK from AMD, and CUDA from Nvidia. These allow functions called compute kernels to run on the GPU's stream...

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LLVM

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fork of LLVM 8 named "Kitsune". Nvidia uses LLVM in the implementation of its NVVM CUDA Compiler. The NVVM compiler is distinct from the "NVPTX" backend...

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OpenACC

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OpenACC. IPMACC is an open source C compiler developed by University of Victoria that translates OpenACC to CUDA, OpenCL, and ISPC. Currently, only following...

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Numba

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Numba can compile Python functions to GPU code. Initially two backends are available: Nvidia CUDA, see numba.pydata.org/numba-doc/dev/cuda AMD ROCm HSA...

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Fat binary

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original on 2022-05-25. Retrieved 2022-05-25. "CUDA Compiler Driver NVCC - Reference Guide" (PDF). 11.7. Nvidia. May 2022. TRM-06721-001_v11.7. Archived (PDF)...

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GPUOpen

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an alternative to Nvidia's CUDA which includes a tool to port CUDA source-code to portable (HIP) source-code which can be compiled on both HCC and NVCC...

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Graphics card

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Nvidia – quasi duopoly of 3D chip GPU and graphics card designers GeForce, Radeon, Intel Arc – examples of graphics card series GPGPU (i.e.: CUDA, AMD...

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Tesla Dojo

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advanced driver assistance system. Its primary unnamed cluster using 5,760 Nvidia A100 graphics processing units (GPUs) was touted by Andrej Karpathy in 2021...

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PlaidML

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proprietary components. For example, it does not require the usage of CUDA or cuDNN on Nvidia hardware, while achieving comparable performance. PlaidML supports...

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