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. Onsite live CUDA (Compute Unified Device Architecture) training can be carried out locally on customer premises in Singapore or in NobleProg corporate training centers in Singapore.
NobleProg -- Your Local Training Provider
Testimonials
Very interactive with various examples, with a good progression in complexity between the start and the end of the training.
Jenny - Tristan Soubrié, Andheo
Course: GPU Programming with CUDA and Python
Interesting introduction to Numba, good examples and ressources
Tristan Soubrié, Andheo
Course: GPU Programming with CUDA and Python
CUDA Course Outlines in Singapore
Course Name
Duration
Overview
Course Name
Duration
Overview
14 hours
This instructor-led, live training in Singapore (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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