NVIDIA Fundamentals of Accelerated Computing with CUDA Python

NVIDIA DEEP LEARNING INSTITUTENVIDIA CUDA LOGO

This Fundamentals of Accelerated Computing with CUDA Python course is now available in Israel, by an NVIDIA DLI-certified instructor Tomer Gal, CTO at OpTeamizer Ltd, an official NVIDIA Preferred Partner.


Course Name:

Fundamentals of Accelerated Computing with CUDA Python


Duration:

1 day


Upcoming Dates:

Q2 2019, Tel Aviv – Enroll now


Course Description:

This course explores how to use Numba—the just-in-time, type-specializing Python function compiler—to accelerate Python programs to run on massively parallel NVIDIA GPUs. You’ll learn how to:

  • Use Numba to compile CUDA kernels from NumPy universal functions (ufuncs)
  • Use Numba to create and launch custom CUDA kernels
  • Apply key GPU memory management techniques

Upon completion, you’ll be able to use Numba to compile and launch CUDA kernels to accelerate your Python applications on NVIDIA GPUs.

 

Intermission:

Lunch included at Carlton Hotel.


Price:

Enroll to receive price and course information.


For registration:

Or contact us at:
Tomer.Gal@OpTeamizer.co.il+972 (54) 746-7477
Stavit.Suki@OpTeamizer.co.il+972 (54) 213-1337
Office@OpTeamizer.co.il+972 (3)-953-3365

Location:

Eliezer Peri St 10 (Carlton Hotel), Tel Aviv, Israel