重庆现场GPU培训

重庆现场GPU培训

本地,讲师指导的现场GPU(图形处理单元)培训课程通过交互式讨论和动手实践演示了GPU的基本原理以及如何编程GPU。 GPU培训可用作“现场实时培训”或“远程实时培训”。现场培训可以在当地的客户场所进行重庆或者在NobleProg的企业培训中心重庆 。远程实时培训通过交互式远程桌面进行。 NobleProg - 您当地的培训机构

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重庆 - 环球金融中心

19th Floor, Chongqing World Financial Center

Chongqing, Chongqing MinZu Road No. 188 Yuzhong District 400010 ,
重庆环球金融中心
在重庆的培训中心学习GPU。重庆环球金融中心是一座后现代主义风格的摩天大楼,坐落于解放碑最繁华的市中心的商业中心地带,毗邻解放碑步行街。它是中国西部正在建设中的最高的大楼,围绕着6S国际顶级的办公场所、购物商场和高档会所。许多五星级酒店,其中包括洲际酒店及万豪酒店都在步行距离之内,附近的其他设施包括大型商场、购物中心、银行、餐厅、邮政和电信服务。附近公共交通十分便捷,包括地铁、出租车和公交车,同时大楼与重庆的其他地区和设施相连。建成后,预计重庆环球金融中心会将会成为大型跨国公司总部。 查看更多

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重庆现场Graphics Processing Unit (GPU)课程大纲

课程名称
课程时长
课程概览
课程名称
课程时长
课程概览
14小时
课程概览
This course covers how to program GPUs for parallel computing. Some of the applications include deep learning, analytics, and engineering applications.
21小时
课程概览
This instructor-led, live training course in 重庆 covers how to program GPUs for parallel computing, how to use various platforms, how to work with the CUDA platform and its features, and how to perform various optimization techniques using CUDA. Some of the applications include deep learning, analytics, image processing and engineering applications.
14小时
课程概览
This instructor-led, live training in 重庆 (online or onsite) is aimed at developers who wish to build hardware-accelerated object detection and tracking models to analyze streaming video data.

By the end of this training, participants will be able to:

- Install and configure the necessary development environment, software and libraries to begin developing.
- Build, train, and deploy deep learning models to analyze live video feeds.
- Identify, track, segment and predict different objects within video frames.
- Optimize object detection and tracking models.
- Deploy an intelligent video analytics (IVA) application.
14小时
课程概览
This instructor-led, live training in 重庆 (online or onsite) is aimed at developers who wish to use CUDA to build Python applications that run in parallel on NVIDIA GPUs.

By the end of this training, participants will be able to:

- Use the Numba compiler to accelerate Python applications running on NVIDIA GPUs.
- Create, compile and launch custom CUDA kernels.
- Manage GPU memory.
- Convert a CPU based application into a GPU-accelerated application.
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