Cascade: a Collaborative Algorithm for Scalable and Efficient Neighborhood Allgather

Neighborhood collectives are a critical feature of MPI, enabling efficient communication in applications with sparse communication patterns. This research proposes Cascade, a new algorithm for neighborhood allgather collective that organizes computing nodes along multiple paths based on their distan...

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Veröffentlicht in:	Proceedings / IEEE International Conference on Cluster Computing S. 1 - 13
Hauptverfasser:	Sharifian, Hamed, Sojoodi, Amirhossein, Afsahi, Ahmad
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 02.09.2025
Schlagworte:	Allgather Clustering algorithms Collaboration Computational modeling Costs Kernel MPI Neighborhood Collectives Performance gain Performance Modeling Prediction algorithms Predictive models Scalability Sparse matrices
ISSN:	2168-9253
Online-Zugang:	Volltext
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