Fundamentals of Accelerated Computing With CUDA Python

Fundamentals of Accelerated Computing With CUDA Python

NVIDIA NIC-NVI-FACW

EUR 80,40
exkl. MwSt.

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.

Kursvoraussetzungen

  • Basic Python competency, including familiarity with variable types, loops, conditional statements, functions, and array manipulations.
  • Also, must have NumPy competency, including the use of ndarrays and ufuncs.

Was du lernen wirst

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.

Zusätzliche Informationen

The minimum order quantity for NVIDIA self-paced courses is 10.
When adding a course to the shopping cart, a quantity of 10 is automatically added. It may also take 2-3 working days for your course access to be activated. You will receive an email from us with all the necessary information.
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