Nvidia Workshop 2021: Fundamentals of Accelerated Computing with CUDA Python

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Nvidia Workshop 2021: Fundamentals of Accelerated Computing with CUDA Python

May 20 @ 9:00 am - 4:30 pm

Nvidia Workshop Spring 2021: Fundamentals of Accelerated Computing with CUDA Python

Thursday, May 20, 2021
9:00 a.m. – 4:30 p.m.
Location: Virtual Event via Virtual Venue (tba)
Fee: $10
Registration required

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 will be able to use Numba to compile and launch CUDA kernels to accelerate your Python applications on NVIDIA GPUs. 
Prerequisites:
  • Basic Python competency, including familiarity with variable types, loops, conditional statements, functions, and array manipulations.
  • NumPy competency, including the use of ndarrays and ufuncs.
  • No previous knowledge of CUDA programming is required.
Hardware Requirements: Desktop or laptop computer capable of running the latest version of Chrome or Firefox. Each participant will be provided with dedicated access to a fully configured, GPU-accelerated server in the cloud.

For more info: Accelerated Computing with CUDA Python Workshop | NVIDIA 

Registration: https://reg.conferences.dce.ufl.edu/SSP/1400081317

Workshop provided by Nvidia, Research Computing and UF Informatics Institute. Any questions, please contact Ying Zhang at yingz@ufl.edu.

 

Details

Date:
May 20
Time:
9:00 am - 4:30 pm
Event Category: