Coordinated Meta-Storms enables comparison of million-level microbiomes.

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However, the exponential growth of data volume has recently introduced substantial computational challenges, while current methods remain limited in their scalability and efficiency.\nRESULTS: 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.\nAVAILABILITY 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).", "claims": [{"id": "claim-method", "statement": "Building on the MS algorithm, CMS not only optimizes its computing kernel, but also introduces a self-adaptive data decomposition strategy and a multi-GPU coordinate architecture.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:40758451", "locator": "sections[2] \"2 Methods\" paragraph 2", "quote": "Building on the MS algorithm, CMS not only optimizes its computing kernel, but also introduces a self-adaptive data decomposition strategy and a multi-GPU coordinate architecture."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The software packages and datasets are available at GitHub (https://github.com/qdu-bioinfo/Coordinated-Meta-Storms).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:40758451", "locator": "sections[15] \"Data availability\" paragraph 2", "quote": "The software packages and datasets are available at GitHub (https://github.com/qdu-bioinfo/Coordinated-Meta-Storms)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "CMS enables pairwise comparison of million-level microbiomes within 40 hours on a single computing node.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:40758451", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "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."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": "CMS enables pairwise comparison of million-level microbiomes within 40 hours on a single computing node.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:40758451"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "blocked", "blocked_on": "data:accession_absent", "description": "The GEO series accession resolves and its sample accessions are listed. 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