Learn how to harness the power of your GPU using PyCUDA and related tools. This course covers topics such as GPU computing, CUDA programming model, memory spaces, practical applications, and when to utilize PyCUDA. By the end of the course, you will have the skills to work with GPUs efficiently and understand the differences between PyCUDA and CUDA. The teaching method includes a mix of theoretical explanations, practical examples, and discussions. This course is intended for individuals interested in maximizing the potential of their GPU for computational tasks.
Overview
Syllabus
Introduction
Topics
GPU
CPU vs GPU
GPU computing
CUDA vs OpenCL
CUDA Programming Model
Memory Spaces
khuda
sum of vectors
Imports
Code
Medical intensity
Practical intensity
Cooperation
When to use PyCUDA
PyCUDA vs CUDA
Cons
Summary
Metrics
Highlevel functions
Questions
Is everything more complicated
Nvidia libraries
Modern GPUs
Taught by
EuroPython Conference
