Lune

SC2025Top-tier venue

Characterizing Performance, Power, and Energy of AMD CDNA3 GPU Family

Bagus Hanindhito, Bhavesh Patel

2025Year
2Citations
1Top-tier citations

Abstract

While historically used for graphics applications, Graphics Processing Units (GPUs) have become the most prominent hardware for accelerating parallel workloads, including HPC and AI/ML. As the demand for GPUs skyrockets, AMD released the CDNA3 architecture to accelerate HPC and generative AI. This paper serves as a comprehensive third-party evaluation of the AMD CDNA3 GPU, specifically the MI300X and MI325X, by characterizing their performance, power, and energy efficiency using microbenchmark and real-world applications.

Ask about this paper

Ask your agent about it.

Lune has read the top-tier papers around this one, so every answer names the papers it rests on.

Questions to start from

Your agent calls

Lunesearch_papers

Ask in Lune

Free to start. No credit card required.

lune papers get ea9520c6-1229-4570-9a69-a56b70334433

Cited by top-tier papers1

Ask how each one uses it

Related papers

Dusk over the sea between two cliffs drawn in fine vertical lines