@inproceedings{0677079701b94f2d99c6519d3f08b9f1,
title = "Node-aware stencil communication for heterogeneous supercomputers",
abstract = "High-performance distributed computing systems increasingly feature nodes that have multiple CPU sockets and multiple GPUs. The communication bandwidth between these components is non-uniform. Furthermore, these systems can expose different communication capabilities between these components. For communication-heavy applications, optimally using these capabilities is challenging and essential for performance. Bespoke codes with optimized communication may be non-portable across run-time/software/hardware configurations, and existing stencil frameworks neglect optimized communication. This work presents node-aware approaches for automatic data placement and communication implementation for 3D stencil codes on multi-GPU nodes with non-homogeneous communication performance and capabilities. Benchmarking results in the Summit system show that choices in placement can result in a 20% improvement in single-node exchange, and communication specialization can yield a further 6x improvement in exchange time in a single node, and a 16% improvement at 1536 GPUs.",
keywords = "CUDA, Communication, GPU, Heterogeneous, MPI, Node, Stencil, Topology",
author = "Carl Pearson and Mert Hidayetoglu and Mohammad Almasri and Omer Anjum and Chung, {I. Hsin} and Jinjun Xiong and Hwu, {Wen Mei W.}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 34th IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2020 ; Conference date: 18-05-2020 Through 22-05-2020",
year = "2020",
month = may,
doi = "10.1109/IPDPSW50202.2020.00136",
language = "English (US)",
series = "Proceedings - 2020 IEEE 34th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "796--805",
booktitle = "Proceedings - 2020 IEEE 34th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2020",
address = "United States",
}