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Nvidia CUDA Compiler

compiler for parallel CUDA codes

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Record originEnglish Wikipedia
Text licenseCC BY-SA 4.0
Source revisionDec 24, 2025
Entity authorityQ6955691
Source-derived summary

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

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 (MVCC), and sends device code called "kernels" (the part which will run on the GPU) to the GPU. The device code is further compiled by NVCC. NVCC is based on LLVM. According to Nvidia provided documentation, nvcc in version 7.0 supports many language constructs that are defined by the C++11 standard, and a few from C99. In version 9.0, several more constructs from the C++14 standard are added.

Any source file containing CUDA language extensions (.cu) must be compiled with nvcc. NVCC is a compiler driver which works by invoking all the necessary tools and compilers like cudacc, g++, cl, etc. NVCC can output either C code (CPU Code) that must then be compiled with the rest of the application using another tool or Parallel Thread Execution (PTX) or object code directly. An executable with CUDA code requires: the CUDA core library (cuda) and the CUDA runtime library (cudart).

Other widely used libraries:

CUBLAS: BLAS implementation

CUFFT: FFT implementation

CUDPP (Data Parallel Primitives): Reduction, Scan, Sort.

Thrust: Reduction, Scan, Sort.

Editorial summary

This brief starts where responsible research should: with the source description of “Nvidia CUDA Compiler” as compiler for parallel CUDA codes. Everything that follows is an evidence route, not borrowed authority.

Editorial reviewA practical starting point whose main value is the path it opens into stronger specialist and primary sources. The current 243-word lead offers orientation but no explicit four-digit date, so chronology should not be assumed. The selected authority fields contribute no independent date. The account is most persuasive where Nvidia, CUDA and Compiler can be independently traced.
Editorial analysis

Why this record matters

The subject matters to the general reference register because the source frames it as compiler for parallel CUDA codes. Its deeper value depends on whether names, dates, institutions and citations support that framing.

Evidence profile

The citation trail is more important than the brevity of the summary: it shows where individual claims can be examined in context. The source revision retrieved here is dated Dec 24, 2025. The linked authority identifier is Q6955691. 1 of 1 selected statements include explicit references; 0 carry qualifiers and 0 use preferred rank.

Critical limits

Overview language is designed for orientation and should not be treated as a substitute for the evidence cited beneath it. The lead is largely declarative, so disagreement and counter-evidence require a deliberate search beyond the opening account. Authority statements aid reconciliation but still require their own references, qualifiers and ranks to be checked.

How to read it

Use the entry as an orientation point, then follow its citations and revision history. Names, dates and institutional relationships should be checked against the original record.

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  2. Expand the search: follow Nvidia CUDA Compiler primary sources, Nvidia CUDA Compiler archive and Nvidia research across catalogues and specialist indexes.
  3. Test the account: compare the strongest cited source with the responsible institution’s current record and note any disagreement.

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Source & attribution

This entry incorporates text from Nvidia CUDA Compiler” on English Wikipedia. Contributors are listed in the page history. Text is available under the Creative Commons Attribution-ShareAlike 4.0 License. Selected authority identifiers and statements are retrieved from Wikidata under CC0; their references and qualifiers remain part of the verification path.