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AMD × Dayhoff Health

Redefining What 'Fast Enough' Means in Genomics Computing

Download the joint AMD × Dayhoff Health white paper detailing how GPU acceleration changes the speed and scalability of genomics workflows—especially memory-bound microbiome analysis.

  • 330× acceleration in microbiome processing
  • 18–28× speedup in single-cell sequencing
  • 13–22× faster whole genome analysis
From CPU hours to GPU seconds

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Transforming Genomics at Unprecedented Speed

This white paper outlines the methodology and performance improvements of using AMD GPUs with ROCm™ and HIP to accelerate complex genomics workflows—including whole-genome sequencing, single-cell sequencing file processing, and microbiome sample analysis—so teams can reduce turnaround time and increase throughput without scaling CPU clusters.

Performance comparison — hours to seconds

Breakthrough Performance

See the performance deltas across microbiome, single-cell, and WGS workloads—plus what drives the largest gains.

Clinical Impact

Understand how faster turnaround time changes workflows, from batch processing to real-time decision support.

Advanced Technology

Learn how ROCm™ and HIP enable portability and performance for genomics pipelines on AMD GPU architectures.