CUDA to HIP/ROCm Migration

Course Details
Length: 13 Hours
Number of Labs: 6
Number of Chapter: 11
Current Version: 2025.2
Number of Demos: 0

Overview

In this Free OnDemand curriculum you will learn how to migrate GPU‑accelerated applications from CUDA to AMD ROCm™ using HIP, by understanding RDNA™ architecture and SIMT execution, mapping CUDA to HIP, optimizing memory and kernels, and applying practical workflows for porting, debugging, profiling, validation, and performance optimization on AMD iGPUs.
Skill's You'll Learn: 
  • Understand AMD RDNA™ GPU architecture and the ROCm™ software stack 
  • Develop and run GPU applications using the HIP programming model 
  • Migrate CUDA applications to HIP by mapping APIs and execution models 
  • Debug, profile, and optimize GPU workloads using ROCm tools 
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