Whitepapers

Research and technical deep dives from Dayhoff Health and our partners.

AMD × Dayhoff Health · 2026

Redefining What 'Fast Enough' Means in Genomics Computing

How GPU acceleration changes the speed and scalability of genomics workflows - especially memory-bound microbiome analysis. Covers the methodology and performance improvements of using AMD GPUs with ROCm™ and HIP across whole-genome sequencing, single-cell file processing, and microbiome sample analysis.

Performance deltas across microbiome, single-cell, and WGS workloads
How faster turnaround changes workflows, from batch processing to real-time decision support
How ROCm™ and HIP enable portability and performance on AMD GPU architectures

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AMD × Dayhoff Health · 2026

Accelerating Single-Cell Tumor Classification with AMD ROCm™ and HIP

How AMD GPU acceleration speeds the single-cell tumor-classification pipeline end to end - the 10x Cell Ranger Flex workflow (FASTQ to count matrix) and the CopyKAT tumor-cell classifier - using ROCm™ and HIP, with performance deltas and correctness validation at every stage.

GPU-accelerated 10x Cell Ranger Flex: FASTQ to count matrix, with two-GPU scaling
CopyKAT tumor/normal cell classification on AMD GPUs, with computational and biological validation
End-to-end single-cell tumor-classification workflow performance on AMD ROCm™ and HIP

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