Fundamentals of Accelerated Computing with CUDA Python

Contribution List

1. Welcome and Introduction

7/24/23, 9:00 AM

• Meet the instructor.
• Create an account at courses.nvidia.com/join

2. Introduction to CUDA Python with Numba

7/24/23, 9:15 AM

• Begin working with the Numba compiler and CUDA programming in Python.
• Use Numba decorators to GPU-accelerate numerical Python functions.
• Optimize host-to-device and device-to-host memory transfers.

3. Custom CUDA Kernels in Python with Numba

7/24/23, 12:15 PM

• Learn CUDA’s parallel thread hierarchy and how to extend parallel program possibilities.
• Launch massively parallel custom CUDA kernels on the GPU.
• Utilize CUDA atomic operations to avoid race conditions during parallel execution.

4. Multidimensional Grids, and Shared Memory for CUDA Python with Numba

7/24/23, 2:30 PM

• Learn multidimensional grid creation and how to work in parallel on 2D matrices.
• Leverage on-device shared memory to promote memory coalescing while reshaping 2D matrices.

5. Final Review

7/24/23, 4:30 PM

• Review key learnings and wrap up questions.
• Complete the assessment to earn a certificate.
• Take the workshop survey.