Online or onsite, instructor-led live CUDA (Compute Unified Device Architecture) training courses demonstrate through interactive hands-on practice how to use a CUDA-enabled GPU for general purpose processing.
CUDA training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Hong Kong onsite live CUDA (Compute Unified Device Architecture) trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
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CUDA (Compute Unified Device Architecture) Course Outlines in Hong Kong
Course Name
Duration
Overview
Course Name
Duration
Overview
14 hours
This instructor-led, live training in Hong Kong (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.
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.
Last Updated:
Upcoming Compute Unified Device Architecture (CUDA) Courses in Hong Kong
GPU Programming with CUDA and Python
30-03-2022 09:30
14 hours
GPU Programming with CUDA and Python
30-03-2022 09:30
14 hours
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