NVIDIA CUDA library

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NVIDIA CUDA library

CUDA (Compute Unified Device Architecture) is a parallel computing platform and application ... The CUDA platform is a software layer that gives direct access to the GPU's virtual instruction set and parallel computational ... Library, see main and do,Adding support for GPU-accelerated libraries to an application; Using features such as Zero-Copy Memory, Asynchronous Data Transfers, Unified Virtual ... ,CUDA Libraries Documentation. cuBLAS Library Documentation The cuBLAS Library is an implementation of BLAS (Basic Linear Algebra Subprograms) on ... ,High-Performance Math Routines The CUDA Math library is an industry proven, highly accurate collection of standard mathematical functions. Available to any ... ,The toolkit includes GPU-accelerated libraries, debugging and optimization tools, a C/C++ compiler, and a runtime library to deploy your application. ,The CUDA Toolkit includes GPU-accelerated libraries, a compiler, development tools and the CUDA runtime. Download Now. Thousands of applications ... ,Access the massively parallel power of a GPU without having to write the GPU code yourself. Libraries ... ,To accelerate your applications, you can call functions from drop-in libraries as well as develop custom applications using languages including C, C++, Fortran ... ,NVIDIA CUDA-X GPU-Accelerated Libraries NVIDIA® CUDA-X, built on top of NVIDIA CUDA®, is a collection of libraries, tools, and technologies that deliver ... , The nvJPEG Library provides high-performance GPU accelerated JPEG decoding functionality for image formats commonly used in deep ...

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GPU-Z
GPU- Z 應用程序被設計成一個輕量級的工具,會給你所有關於你的視頻卡和 GPU 的信息。 GPU- Z 支持 NVIDIA 和 ATI 卡,顯示適配器,GPU 和顯示信息,超頻,默認時鐘,3D 時鐘(如果可用)和結果驗證。下載 GPU- Z 離線安裝程序設置!GPU- Z 主要功能: 支持 NVIDIA,ATI 和 Intel 圖形設備顯示適配器,GPU 和顯示信息顯示超頻,默認時鐘和 3D ... GPU-Z 軟體介紹

NVIDIA CUDA library 相關參考資料
CUDA - Wikipedia

CUDA (Compute Unified Device Architecture) is a parallel computing platform and application ... The CUDA platform is a software layer that gives direct access to the GPU's virtual instruction set ...

https://en.wikipedia.org

CUDA Code Samples | NVIDIA Developer

Adding support for GPU-accelerated libraries to an application; Using features such as Zero-Copy Memory, Asynchronous Data Transfers, Unified Virtual ...

https://developer.nvidia.com

CUDA Libraries Documentation - NVIDIA Developer ...

CUDA Libraries Documentation. cuBLAS Library Documentation The cuBLAS Library is an implementation of BLAS (Basic Linear Algebra Subprograms) on ...

https://docs.nvidia.com

CUDA Math Library | NVIDIA Developer

High-Performance Math Routines The CUDA Math library is an industry proven, highly accurate collection of standard mathematical functions. Available to any ...

https://developer.nvidia.com

CUDA Toolkit | NVIDIA Developer

The toolkit includes GPU-accelerated libraries, debugging and optimization tools, a C/C++ compiler, and a runtime library to deploy your application.

https://developer.nvidia.com

CUDA Zone | NVIDIA Developer

The CUDA Toolkit includes GPU-accelerated libraries, a compiler, development tools and the CUDA runtime. Download Now. Thousands of applications ...

https://developer.nvidia.com

Drop-in Acceleration on GPUs with Libraries | NVIDIA Developer

Access the massively parallel power of a GPU without having to write the GPU code yourself. Libraries ...

https://developer.nvidia.com

GPU Accelerated Computing with C and C++ | NVIDIA ...

To accelerate your applications, you can call functions from drop-in libraries as well as develop custom applications using languages including C, C++, Fortran ...

https://developer.nvidia.com

GPU Accelerated Libraries - NVIDIA Developer

NVIDIA CUDA-X GPU-Accelerated Libraries NVIDIA® CUDA-X, built on top of NVIDIA CUDA®, is a collection of libraries, tools, and technologies that deliver ...

https://developer.nvidia.com

NVIDIA CUDA Toolkit - CUDA Toolkit Documentation

The nvJPEG Library provides high-performance GPU accelerated JPEG decoding functionality for image formats commonly used in deep ...

https://docs.nvidia.com