Tuning guides#

Applies to Linux and Windows


5 min read time

Use case-specific system setup and tuning guides.

High-performance computing#

High-performance computing (HPC) workloads have unique requirements. The default hardware and BIOS configurations for OEM platforms may not provide optimal performance for HPC workloads. To enable optimal HPC settings on a per-platform and per-workload level, this guide calls out:

  • BIOS settings that can impact performance

  • Hardware configuration best practices

  • Supported versions of operating systems

  • Workload-specific recommendations for optimal BIOS and operating system settings

There is also a discussion on the AMD Instinct™ software development environment, including information on how to install and run the DGEMM, STREAM, HPCG, and HPL benchmarks. This guidance provides a good starting point but is not exhaustively tested across all compilers.

Prerequisites to understanding this document and to performing tuning of HPC applications include:

  • Experience in configuring servers

  • Administrative access to the server’s Management Interface (BMC)

  • Administrative access to the operating system

  • Familiarity with the OEM server’s BMC (strongly recommended)

  • Familiarity with the OS specific tools for configuration, monitoring, and troubleshooting (strongly recommended)

This document provides guidance on tuning systems with various AMD Instinct™ accelerators for HPC workloads. This document is not an all-inclusive guide, and some items referred to may have similar, but different, names in various OEM systems (for example, OEM-specific BIOS settings). This document also provides suggestions on items that should be the initial focus of additional, application-specific tuning.

This document is based on the AMD EPYC™ 7003-series processor family (former codename “Milan”).

While this guide is a good starting point, developers are encouraged to perform their own performance testing for additional tuning.

AMD Instinct™ MI200

This chapter goes through how to configure your AMD Instinct™ MI200 accelerated compute nodes to get the best performance out of them.

AMD Instinct™ MI100

This chapter briefly reviews hardware aspects of the AMD Instinct™ MI100 accelerators and the CDNA™ 1 architecture that is the foundation of these GPUs.


Workstation workloads, much like high-performance computing, have a unique set of requirements, a blend of both graphics and compute, certification, stability and the list continues.

The document covers specific software requirements and processes needed to use these GPUs for Single Root I/O Virtualization (SR-IOV) and machine learning (ML).

The main purpose of this document is to help users utilize the RDNA 2 GPUs to their full potential.

AMD Radeon™ PRO W6000 and V620

This chapter describes the AMD GPUs with RDNA™ 2 architecture, namely AMD Radeon PRO W6800 and AMD Radeon PRO V620