AMD Instinct GPUs Boost DNA Sequencing with ROCm Acceleration

AMD has unveiled a significant breakthrough in DNA alignment processing, leveraging its ROCm software stack and Instinct MI300X GPUs. By accelerating key stages of the widely-used minimap2 genomics tool, AMD claims to deliver up to 1.78x higher throughput compared to competing GPU solutions, particularly for long-read sequencing workloads.

DNA sequencing, once a billion-dollar endeavor, is now a routine procedure thanks to advances in genomics and computational power. However, the bottleneck lies in processing the massive datasets generated. Modern sequencing runs produce millions or billions of DNA fragments that must be aligned against a reference genome—a complex, computationally expensive task. AMD’s latest implementation aims to tackle this scale by moving the most intensive stages of minimap2—chaining and alignment—onto its GPUs, while maintaining compatibility with existing CPU-based workflows.

Using AMD’s HIP (Heterogeneous-Compute Interface for Portability) framework, the updated minimap2 pipeline offloads these stages to the MI300X GPU. With memory bandwidth of 5.3 TB/s and advanced parallelism, the MI300X efficiently processes large genomic datasets. Early tests show AMD’s GPU solution outperforming rivals by 1.76x on PacBio CLR datasets and 1.6x on Oxford Nanopore workloads. These gains bring DNA/RNA alignment closer to real-time, a critical step for scaling genomics in medicine, agriculture, and research.

AMD’s ROCm platform, which underpins this development, is gaining traction as a challenger to NVIDIA’s CUDA ecosystem. ROCm emphasizes open standards and portability, attracting high-performance computing (HPC) and AI developers. With recent releases like ROCm 7.14, AMD has expanded its ecosystem, integrating AI tooling and optimizing for broader workloads. The platform’s compatibility with AMD EPYC CPUs and Instinct GPUs positions it as a compelling choice for heterogeneous computing setups.

Beyond genomics, this announcement reinforces AMD’s broader strategy to capture market share in GPU-accelerated HPC and AI workloads. Just last week, AMD announced a deal to supply Anthropic with Instinct MI450 GPUs, showcasing its deepening role in AI infrastructure. The ROCm ecosystem also continues to evolve, offering a CUDA-like programming model through HIP, which simplifies porting existing CUDA applications to AMD hardware.

The genomics breakthrough reflects AMD’s commitment to bridging real-world applications with cutting-edge hardware. By accelerating minimap2, researchers can process more data, faster, enabling deeper insights into genetic mutations, pathogen tracking, and population studies. This is particularly critical as sequencing costs plummet and data volumes grow exponentially.

AMD is rolling out the GPU-accelerated minimap2 implementation as part of a limited early-access program. Researchers and developers can test the pipeline on their datasets, providing feedback to fine-tune performance. The move further solidifies AMD’s bid for dominance in GPU-accelerated genomics and other computationally demanding fields.

Image source: Shutterstock