AMD HIP Programming Guide

A comprehensive technical manual for the Heterogeneous-compute Interface for Portability (HIP). It provides a C++ Runtime API and kernel language that allows developers to create portable applications for AMD and NVIDIA GPUs from a single source code. The guide covers installation, environment configuration, programming models, memory allocation, and tools for porting CUDA code to HIP.

Master portable GPU programming: One source for both AMD and NVIDIA platforms.

Author: Advanced Micro Devices, Inc. (AMD)

Acknowledgments: AMD, the AMD Arrow logo, AMD Instinct, Radeon, ROCm and combinations thereof are trademarks of Advanced Micro Devices, Inc. Linux is a registered trademark of Linus Torvalds. PCIe is a registered trademark of PCI-SIG Corporation.

1. Define the primary features and value propositions of the HIP framework.
2. Demonstrate how to access and query the HIP environment using system tools.
3. Explain the architectural relationship between HIP portability and its compiler technology.
4. Execute platform-specific installations for both NVIDIA and AMD environments.
5. Coordinate the multi-repository build process to compile HIP from source code.
6. Validate a successful installation using system configuration and verification tools.
7. Configure and manage GPU memory using HIP allocation, coherency controls, and zero-copy host memory visibility.
8. Develop high-performance kernels using HIP-specific function/variable qualifiers, vector types, and synchronization primitives.
9. Implement advanced parallel algorithms utilizing warp shuffle, vote, ballot, and cooperative group functions.
10. Automate the translation of CUDA code to HIP using HIPIFY tools and manage in-place project conversions.