GROMACS on AMD Instinct GPUs: A Complete Build Guide

2026-03-24 · Source: AMD ROCm Blogs · Field: Technology & Digital — Software Development & Engineering, Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure · Depth: Advanced, long

Summary

This guide details the installation of GROMACS, a widely used molecular dynamics engine, on AMD Instinct MI300X and MI355X GPU systems. It covers setting up a complete GROMACS stack with OpenMPI support, enabling full GPU acceleration. The instructions provide two deployment methods: bare metal installation, which offers granular control over optimization flags, and container-based deployment using Apptainer or Docker, emphasizing reproducibility and simplified management. Key components built from source include UCX (Unified Communication X) for high-performance, GPU-aware communication, OpenMPI for multi-GPU coordination with UCX integration, and a compatible CMake version. The guide specifies hardware requirements like AMD EPYC CPUs and ROCm versions (≥6.0.0 for MI300X, ≥7.0.0 for MI355X) and provides detailed build scripts and CMake options for optimal performance, such as `GMX_GPU=HIP` and `GMX_MULTI_GPU_FFT=ON`.

Key takeaway

For MLOps Engineers or Research Scientists deploying molecular dynamics simulations on AMD Instinct GPUs, building GROMACS and its communication stack (UCX, OpenMPI) from source is crucial for maximizing performance. You should choose between bare metal for ultimate control or containerization (Apptainer/Docker) for reproducibility, ensuring GPU-aware communication is enabled to avoid performance bottlenecks from host memory transfers. Profile your specific workloads to fine-tune settings for optimal throughput.

Key insights

Optimizing GROMACS on AMD Instinct GPUs requires building a GPU-aware communication stack from source.

Principles

• GPU-aware communication prevents host memory staging.
• Building from source enables fine-grained optimization.
• Containers ensure reproducible deployment environments.

Method

The installation proceeds through four phases: building UCX with ROCm support, building OpenMPI with UCX integration, installing a compatible CMake version, and finally building GROMACS with HIP support targeting the specific AMD GPU architecture.

In practice

• Use `gfx942` for MI300X and `gfx950` for MI355X.
• Deploy on Vultr or TensorWave cloud MI300X infrastructure.
• Verify GROMACS with `gmx_mpi --version` after install.

Topics

• GROMACS
• AMD Instinct GPUs
• Molecular Dynamics Simulation
• GPU-aware MPI
• ROCm Platform

Code references

• amd/InfinityHub-CI
• gromacs/gromacs
• openucx/ucx
• Kitware/CMake
• gromacs/gromacs

Best for: MLOps Engineer, Software Engineer, Research Scientist

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Editorial summary, takeaway, and curation by AIssential. Original article published by AMD ROCm Blogs.