[iWAPT] Node-Aware Stencil Communication on Heterogeneous Supercomputers

Carl Pearson, Mert Hidayetoglu, Mohammad Almasri, Omer Anjum, I-Hsin Chung, Jinjun Xiong, Wen-Mei Hwu

In 2020 IEEE International Workshop on Automatic Performance Tuning (iWAPT)

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.

@INPROCEEDINGS{9150372,
  author={C. {Pearson} and M. {Hidayeto─člu} and M. {Almasri} and O. {Anjum} and I. {Chung} and J. {Xiong} and W. W. {Hwu}},
  booktitle={2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)}, 
  title={Node-Aware Stencil Communication for Heterogeneous Supercomputers}, 
  year={2020},
  volume={},
  number={},
  pages={796-805},
  doi={10.1109/IPDPSW50202.2020.00136}
}