- Hands-On GPU:Accelerated Computer Vision with OpenCV and CUDA
- Bhaumik Vaidya
- 69字
- 2021-08-13 15:48:16
CUDA development environment
To start developing an application using CUDA, you will need to set up the development environment for it. There are some prerequisites for setting up a development environment for CUDA. These include the following:
- A CUDA-supported GPU
- An NVIDIA graphics card driver
- A standard C compiler
- A CUDA development kit
How to check for these prerequisites and install them is discussed in the following sub section.
推薦閱讀
- Advanced Machine Learning with Python
- 玩轉(zhuǎn)Scratch少兒趣味編程
- CMDB分步構(gòu)建指南
- Python Deep Learning
- Wireshark Network Security
- 編譯系統(tǒng)透視:圖解編譯原理
- 數(shù)據(jù)結(jié)構(gòu)習題解析與實驗指導
- Python之光:Python編程入門與實戰(zhàn)
- 區(qū)塊鏈技術(shù)與應(yīng)用
- .NET Standard 2.0 Cookbook
- 深入實踐DDD:以DSL驅(qū)動復雜軟件開發(fā)
- 深入解析Java編譯器:源碼剖析與實例詳解
- .NET 4.0面向?qū)ο缶幊搪劊簯?yīng)用篇
- Hands-On Robotics Programming with C++
- Python數(shù)據(jù)科學實戰(zhàn)