GPU Cluster RDMA communication technology and congestion control
Author:
Affiliation:
1. Built Environment & Information Technology, SEGi University, Malaysia
2. Faculty of Data Science and Computing, University Malaysia Kelantan, Malaysia
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3603781.3603876
Reference29 articles.
1. ‘First principles: Superclusters with RDMA—Ultra-high performance at massive scale’. https://blogs.oracle.com/cloud-infrastructure/post/superclusters-rdma-high-performance ‘First principles: Superclusters with RDMA—Ultra-high performance at massive scale’. https://blogs.oracle.com/cloud-infrastructure/post/superclusters-rdma-high-performance
2. ‘NVLink and NVSwitch’. https://www.nvidia.cn/data-center/nvlink/ ‘NVLink and NVSwitch’. https://www.nvidia.cn/data-center/nvlink/
3. Exploiting GPUDirect RDMA in Designing High Performance OpenSHMEM for NVIDIA GPU Clusters
4. Efficient Inter-node MPI Communication Using GPUDirect RDMA for InfiniBand Clusters with NVIDIA GPUs
5. Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect
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