Bioinformatics (Oxford, England) · 2025
Coordinated Meta-Storms enables comparison of million-level microbiomes.
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Wang Minan, Gao Hao, Zhang Yu, Huang Yongxiang, Su Xiaoquan
Аннотация
MOTIVATION: Phylogeny-based distance serves as the foundation in the evaluation of microbiome beta diversity. However, the exponential growth of data volume has recently introduced substantial computational challenges, while current methods remain limited in their scalability and efficiency.
RESULTS: To solve these issues, we introduce Coordinated Meta-Storms (CMS), a novel approach for large-scale microbiome phylogeny-based distance calculation. CMS incorporates a dynamic multiple Graphics Processing Unit architecture based on a self-adaptive data decomposition strategy and optimization, which empowers pairwise comparison of million-level microbiomes within 40 h on a single computing node.
AVAILABILITY AND IMPLEMENTATION: Coordinated Meta-Storms is implemented by CUDA, HIP and C++. Source code is available at GitHub (https://github.com/qdu-bioinfo/Coordinated-Meta-Storms) and has been published on Zenodo (DOI: 10.5281/zenodo.15802999).
RESULTS: To solve these issues, we introduce Coordinated Meta-Storms (CMS), a novel approach for large-scale microbiome phylogeny-based distance calculation. CMS incorporates a dynamic multiple Graphics Processing Unit architecture based on a self-adaptive data decomposition strategy and optimization, which empowers pairwise comparison of million-level microbiomes within 40 h on a single computing node.
AVAILABILITY AND IMPLEMENTATION: Coordinated Meta-Storms is implemented by CUDA, HIP and C++. Source code is available at GitHub (https://github.com/qdu-bioinfo/Coordinated-Meta-Storms) and has been published on Zenodo (DOI: 10.5281/zenodo.15802999).