Efficient Personalized and Non-Personalized Alltoall Communication for Modern Multi-HCA GPU-Based Clusters

Author:

Suresh Kaushik Kandadi1,Guptha Akshay Paniraja1,Michalowicz Benjamin1,Ramesh Bharath1,Abduljabbar Mustafa1,Shafi Aamir1,Subramoni Hari1,Panda Dhabaleswar1

Affiliation:

1. The Ohio State University,Department of Computer Science and Engineering,Columbus,USA

Publisher

IEEE

Reference13 articles.

1. An effective 3-D fast fourier transform framework for multi-GPU accelerated distributed-memory systems

2. Accelerating Deep Learning Using Interconnect-Aware UCX Communication for MPI Collectives

3. Top 500 supercomputer statistics;strohmaier,0

4. GPU-Aware Intranode MPI Allreduce;faraji;Proceedings of the 21st European MPI Users’ Group Meeting EuroMPI/ASIA ‘14,2014

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. HINT: Designing Cache-Efficient MPI_Alltoall using Hybrid Memory Copy Ordering and Non-Temporal Instructions;2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2024-05-27

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