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Arioc, a GPU-accelerated DNA sequence aligner, significantly speeds up whole-genome sequencing (WGS) analysis. Optimized for multi-GPU systems, it achieves rapid short-read alignments, crucial for large-scale genomic data processing.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Large DNA sequence repositories utilize high-concurrency hardware (CPUs and GPUs).
  • DNA sequence alignment is computationally intensive, requiring efficient software.
  • Existing software often doesn't fully exploit multi-GPU capabilities.

Purpose of the Study:

  • To accelerate short-read DNA sequence alignment using GPU hardware.
  • To enhance the Arioc aligner's performance on multi-GPU architectures.
  • To address the growing need for rapid analysis of whole-genome sequencing data.

Main Methods:

  • Adapted Arioc, a GPU-accelerated aligner, for multi-GPU systems.
  • Exploited high-bandwidth peer-to-peer GPU memory access.
  • Benchmarked performance against CPU-only alignment software.

Main Results:

  • Achieved 10x faster whole-genome sequencing (WGS) alignments compared to CPU-only software.
  • Gained an additional 1.8x-2.9x speed increase by optimizing for multi-GPU memory architecture.
  • Processed over 500 million short reads from a human WGS run in under 15 minutes on a four-GPU system.

Conclusions:

  • Optimized Arioc offers significant speedups for short-read alignment on multi-GPU systems.
  • The software efficiently handles the increasing volume of WGS data.
  • Arioc provides a timely computational solution for the genomic data analysis toolchain.