Learn what's new in the CUDA Toolkit, including the latest and greatest features in the CUDA language, compiler, libraries, and tools—and get a sneak peek at what's coming up over the next year.

CUDA Toolkit 13.3 Update 1 Downloads Select Target Platform Click on the green buttons that describe your target platform. Only supported platforms will be shown. By downloading and using the software, you agree to fully comply with the terms and conditions of the CUDA EULA.

The CUDA platform is accessible to software developers through CUDA-accelerated libraries, compiler directives such as OpenACC, and extensions to industry-standard programming languages including C, C++, Fortran and Python.

This guide covers everything from the CUDA programming model and the CUDA platform to the details of language extensions and covers how to make use of specific hardware and software features.

CUDA kütüphanesi, geliştiricilerin CUDA özellikli GPU'lar üzerindeki hafızalara ve Stream Processorlara hükmedebilmesini sağlar. İlk CUDA Geliştirici seti (SDK) 15 Şubat 2007'de yayınlandı.

Find installation instructions, launch highlights, programming guides, compiler documentation, API references, CUDA libraries, profiling tools, samples, and release notes for the CUDA Toolkit.

You have to install the driver first, then the CUDA toolkit, and finally the CUDA SDK. For general discussion of setting up development environments, algorithms, optimizations and so on, please visit the DevZone forums.

Mathematical libraries that have been optimized to run using CUDA. The CUDA software comes with the software driver, the CUDA toolkit (compiler, debugger, profiler), and the CUDA SDK (CUDA code samples).

CUDA (Compute Unified Device Architecture) is a parallel computing and programming model developed by NVIDIA, which extends C++ to enable general-purpose computing on GPUs.

CUDA Çekirdekleri, en basit tabirle NVIDIA GPU’larda bulunan paralel işlem birimleridir. Bu çekirdekler, hesaplamalar yaparak ve görevleri CPU ile paralel olarak yürüterek GPU’ların render uygulamaları ile birlikte işlemeye katkıda bulunmasını sağlar.